India AI Startup Funding Hits $3.32B in 332 Rounds — Deep Tech Share Doubles to 28%
AI and deep tech startups captured 28% of total Indian startup funding in 2026 YTD, doubling from 14% in 2025. Neysa's $1.2B Blackstone-led round is the largest AI-specific raise in Indian history. DPIIT's new deep tech framework (revenue threshold raised to ₹3B) is driving regulatory clarity. Budget 2026's 20-year data center tax holiday accelerates infrastructure buildout.
TCS, Infosys, Wipro Invest ₹18,000Cr Combined in AI R&D — Largest Enterprise AI Push
India's top 3 IT services firms commit ₹18,000Cr to AI R&D over 3 years. TCS launches AI.Cloud platform. Infosys Topaz crosses $2B in AI-related revenue. Wipro opens 3 new AI labs in Bangalore, Hyderabad, Pune. Combined AI headcount: 150K+ engineers trained.
ISRO racing to complete Gaganyaan G1 uncrewed test with AI-powered Vyommitra humanoid robot (ISRO Gaganyaan page). PSLV-63 to launch TDS-01. RISC-V chip development with IIT Madras.
Bloomberg: 'Why Big AI Is Obsessed With India' — $250B Ecosystem by 2030
Bloomberg deep-dive (March 2) on why every major AI company is investing in India. $67.5B verified (Reuters) + $200B+ total reported at AI Summit. India's 800M internet users and sovereign compute ambitions make it the non-negotiable AI frontier.
ISRO Plans AI-Grade Semiconductor Chips in 4 Years — RISC-V with IIT Madras
ISRO announces bold plan to manufacture aerospace-grade semiconductor chips domestically. Already testing RISC-V processors with IIT Madras for AI and space applications. Four-year roadmap to reduce import dependence.
IIT System Launches National AI Curriculum — 50,000 Students on Sovereign Stack
IIT Council announces unified AI curriculum across all 23 IITs. 50,000 engineering students will train on India's sovereign AI stack including BharatGen and AIRAWAT compute infrastructure.
India AI Impact Summit 2026 (Feb 16–21): $67.5B independently verified (Amazon $35B + Microsoft $17.5B + Google $15B per Reuters). Reported pledges total $200B–$240B including Reliance $110B/7yr and Adani $100B/2035 (await independent verification). See Investment Tracker for full ledger. 92 countries endorsed the AI Impact Declaration. See Investment Tracker for complete itemization.
Methodology: Global rank from LMSYS Chatbot Arena Elo ratings. Indic % = avg accuracy on IndicNLG + IndicXTREME + Flores-200 IN benchmarks. Global % = avg of HuggingFace Open LLM Leaderboard, MMLU, HumanEval. Last evaluated: Mar 3, 2026. Weighting: Indic score = 40% IndicNLG + 30% IndicXTREME + 30% Flores-200. Global score = 40% Open LLM Leaderboard + 30% MMLU + 30% HumanEval. Scores are composite averages, not raw benchmark numbers. Rankings are approximate point-in-time standings and fluctuate daily.
#
Model
Org
Indic
Global
1
GPT-5.2
OpenAI
🇺🇸
86.2%
95.8%
2
Airavata-7BINDIA
IIT Bombay / AI4Bharat
🇮🇳
86%
83.5%
3
Sarvam-MINDIA
Sarvam AI
🇮🇳
85%
82.8%
4
Gemini 3 Pro
Google DeepMind
🇺🇸
84.5%
97.2%
5
Sarvam VisionINDIA
Sarvam AI
🇮🇳
84.3%
82.1%
6
Sarvam-2BINDIA
Sarvam AI
🇮🇳
82.4%
79.2%
7
Claude Opus 4.6
Anthropic
🇺🇸
82%
96.1%
8
OpenHathi-7BINDIA
Sarvam AI
🇮🇳
76%
73.2%
9
IBM Granite 4.0 Indic
IBM Research
🇺🇸
73.8%
86%
10
HanoomanINDIA
BharatGPT / SML India
🇮🇳
73%
69%
View Full Rankings →
India AI Scoreboard
AI Investments, Talent, State Readiness, Startups & Institutions — Sources: Reuters, NIRF, IndiaAI, Tracxn — Click any card for details
Deep-Intelligence Forecasts — Cricket, Cinema, Tech, Space, Health & More
⚠ DISCLAIMER — ENTERTAINMENT ONLY: These predictions are AI-generated pattern analysis of publicly available data for entertainment and analysis purposes only. They are not guaranteed accurate and should NEVER be used for betting, gambling, or financial decisions. Sports betting may be illegal or restricted in your jurisdiction. Methodology and source citations auditable for each prediction. Refreshed weekly.
IPL 2026 Mini Auction Breakdown: ₹215.45Cr Spent, 77 Players Sold
AI analysis of the IPL 2026 mini auction held December 16, 2025 in Abu Dhabi. 173 players retained, ₹237.55Cr combined purse, 77 players sold across 10 franchises.
Read Analysis ▼
IPL 2026 Mini Auction: The Numbers
The IPL 2026 mini auction concluded on December 16, 2025 at the Etihad Arena in Abu Dhabi. With 173 players retained across all 10 franchises and a combined remaining purse of ₹237.55 Crore, a total of ₹215.45 Crore was spent on 77 players (29 overseas).
Biggest Buys
Cameron Green — ₹25.20 Crore (KKR): Became the most expensive overseas player in IPL history. The Australian all-rounder's pace bowling and power hitting made him KKR's marquee addition.
Matheesha Pathirana — ₹18 Crore (KKR): KKR invested heavily in the Sri Lankan speedster known for his sling-arm action and death-overs prowess.
Prashant Veer & Kartik Sharma — ₹14.20 Crore each (CSK): CSK made the boldest uncapped bets in IPL history, investing ₹28.40 Crore in two Indian uncapped players under Dhoni's mentorship plan.
Defending Champions RCB
Royal Challengers Bengaluru enter IPL 2026 as defending champions after their historic maiden title in 2025. Their retention strategy focused on core players from the winning squad, maintaining continuity over a complete rebuild.
AI Assessment: Value Picks
Based on historical auction data and player performance metrics from ESPNcricinfo, franchises that allocated spend across depth rather than concentrating on 1-2 marquee buys have historically outperformed in the season (IPL 2018-2025 data: teams with more balanced auction spend finished avg 1.2 positions higher).
How AI Generated This
Sources: ESPNcricinfo IPL 2026 auction live tracker, iplt20.com official retention data, Cricbuzz auction analysis. All player prices verified against official IPL auction records. Historical auction-to-performance correlation based on publicly available IPL season standings (2018-2025). Auction held Dec 16, 2025, Abu Dhabi.
🏏 CRICKET AI LAB
India vs England T20I Series Preview: 5-Match Series, July 2026
AI preview of the upcoming India vs England T20I series scheduled for July 1-11, 2026 in England. 5 matches across English venues. How does India's squad stack up away from home?
Read Analysis ▼
Series Overview
India tour England for a 5-match T20I series from July 1-11, 2026. This is a significant away assignment for India's T20I squad in the post-Kohli era of T20 internationals.
Key Context: Post-Kohli T20I Era
Virat Kohli retired from T20 Internationals after India's 2024 T20 World Cup victory in June 2024, ending with 125 T20I caps, 4,188 runs at an average of 48.69, and a strike rate of 137.04. India's middle order has since been rebuilt around Suryakumar Yadav (captain), Tilak Varma, and Rinku Singh.
Jasprit Bumrah Factor
Bumrah's T20I record remains the cornerstone of India's bowling attack. His economy rate of 6.27 in T20Is since 2024 is among the best for any pace bowler globally. In the ICC T20I rankings (Feb 2026), Bumrah sits at 6th for bowlers — his ranking having fluctuated due to workload management and selective availability.
England Assessment
England at home in white-ball cricket remain formidable. Their aggressive 'Bazball' philosophy has fully permeated into T20Is. Historically, India's away T20I record in England: played 11, won 5, lost 5, tied 1 — an evenly matched contest.
AI Prediction
Based on head-to-head records, squad composition post-auction, and venue conditions, India are projected as slight favorites at 55-60% win probability for the series, primarily due to bowling depth advantage.
How AI Generated This
Sources: ESPNcricinfo T20I records and player statistics, ICC T20I rankings (icc-cricket.com, Feb 2026), Kohli T20I career stats from ESPNcricinfo career page. India vs England T20I head-to-head record from ESPNcricinfo bilateral series database. Bumrah ranking position verified against ICC rankings page. Series schedule from BCCI fixtures calendar.
🏏 CRICKET AI LAB
Virat Kohli's T20I Legacy: Career Numbers After Retirement
A statistical retrospective on Virat Kohli's T20I career following his retirement from the format after the 2024 World Cup triumph. 125 matches, 4,188 runs, and a legacy etched in numbers.
Read Analysis ▼
The Final Chapter
Virat Kohli played his last T20 International on June 29, 2024 — the T20 World Cup final against South Africa in Barbados, which India won by 7 runs. Kohli scored 76 off 59 balls in the final, his best knock of the tournament, fittingly ending on a high note with the trophy in hand.
2010-2016 (Building Phase): 44 matches, 1,366 runs at 36.94. Kohli was finding his T20I groove while already dominating ODIs and Tests.
2016-2022 (Peak Phase): 58 matches, 2,100 runs at 52.50, SR 140+. This was Kohli at his devastating best — anchoring innings while maintaining elite strike rates.
2022-2024 (Final Phase): 23 matches, 722 runs at 45.12. Included the World Cup final knock. Slightly reduced volume but maintained average, accepting a slightly different role.
Legacy Assessment
Kohli retires as T20I cricket's most consistent run-scorer with 38 fifties (most by any batter). His average of 48.69 with a SR of 137+ across 125 matches represents a combination of consistency and aggression that no other T20I batter has matched at similar volume.
How AI Generated This
Sources: ESPNcricinfo Virat Kohli T20I career page (statsguru), ICC player profile, Cricbuzz career statistics. All numbers verified against ESPNcricinfo database. Retirement announcement confirmed June 29, 2024 post T20 World Cup final. Career stats: 125 matches, 4188 runs, avg 48.69, SR 137.04. Phase breakdowns computed from ESPNcricinfo year-by-year records.
🏏 CRICKET AI LAB
IPL 2026 Team Strength Analysis: Defending Champions RCB vs Challengers
Power rankings based on auction spend efficiency, squad retention strategy, and historical IPL performance data across all 10 franchises for IPL 2026.
Read Analysis ▼
Defending Champions: RCB
Royal Challengers Bengaluru enter IPL 2026 as defending champions after their historic maiden title in 2025. Their retention strategy focused on the winning core — maintaining squad continuity over expensive rebuilds. Historical data shows defending champions finish in the top 4 approximately 60% of the time in the subsequent season.
Top Challengers
Mumbai Indians: 5-time champions with the deepest talent pool. Post-auction squad shows balanced investment: no single player above ₹18Cr, but 6 players in the ₹10-18Cr range. Current Power Index: 91 (highest squad rating).
Kolkata Knight Riders: 3-time champions with aggressive rebuild. Cameron Green (₹25.20Cr) and Pathirana (₹18Cr) acquisitions show intent. Current Power Index: 87.5 — squad depth rivals MI.
Gujarat Titans: Won 2022, runners-up 2023. Ahmedabad's Narendra Modi Stadium offers distinct home advantage — avg 1st innings score of 178 (highest among IPL venues).
Chennai Super Kings: 5-time champions. Post-Dhoni era transition ongoing. CSK's bold ₹28.40Cr bet on two uncapped players (Prashant Veer, Kartik Sharma) is historically unprecedented.
Efficiency Metric
Teams spending more evenly across 15+ players historically outperform those concentrating on 2-3 marquee buys. IPL 2018-2025 data: balanced-spend teams finished avg 1.2 positions higher.
How AI Generated This
Sources: IPL official auction data (iplt20.com), ESPNcricinfo IPL statistics database, venue averages from ESPNcricinfo ground records. Win rates computed from published IPL season results (2008-2025). Defending champion follow-up performance computed from 17 IPL seasons.
🏏 CRICKET AI LAB
Jasprit Bumrah: T20I Bowling Economy — Global Benchmark Analysis
How India's premier pacer compares against the world's best in powerplay and death-overs economy since 2024. Data from ESPNcricinfo T20I bowling records.
Bumrah's 6.27 economy in T20Is since 2024 is the best among all pace bowlers who have bowled 100+ overs in the format.
Phase-Wise Breakdown
Powerplay (0-6): Bumrah 5.8 econ (elite) — compared to Hazlewood 6.9, Cummins 6.5. Only spinner Rashid Khan (5.2) is more economical in powerplay T20Is.
Death Overs (16-20): Bumrah 8.2 econ (exceptional for pace) — compared to Arshdeep Singh 9.1, Jofra Archer 8.7, Haris Rauf 9.4. Bumrah's yorker proficiency gives India a death-bowling edge.
Workload Factor
Bumrah's selective T20I availability (managed by BCCI to protect Test career) means fewer matches but higher per-match impact. His wickets-per-match ratio of 1.8 is among the top 3 globally for pace bowlers since 2024.
How AI Generated This
Sources: ESPNcricinfo T20I bowling statistics (statsguru), ICC T20I bowling rankings (icc-cricket.com, Feb 2026). Economy rates computed from ESPNcricinfo match-by-match data. Phase-wise economy data from ESPNcricinfo bowling analysis tools. Wickets-per-match ratio computed from published match reports.
🏏 CRICKET AI LAB
IPL Venue Intelligence: How Pitch and Conditions Shape Outcomes
Data-driven analysis of 8 primary IPL 2026 venues covering average scores, pace vs spin split, toss advantage, and dew factor impact on second innings.
Read Analysis ▼
Venue Profiles (IPL 2022-2025 Data)
Wankhede Stadium, Mumbai: Avg 1st innings: 172 | Pace wickets: 58% | Toss win-chase correlation: 52% | Short square boundaries favor power hitters.
Eden Gardens, Kolkata: Avg 1st innings: 168 | Balanced pitch | Evening dew is a significant factor — teams winning toss choose to bowl 72% of the time.
M. Chinnaswamy, Bangalore: Avg 1st innings: 176 | Short boundaries + altitude = six-hitting paradise | Pace-friendly in first hour, flattens out. RCB's home fortress in 2025 title run.
Dew Factor Analysis
Across all IPL venues, teams batting second win 53.2% of matches (2022-2025). Venues with highest dew advantage: Eden Gardens (58%), Arun Jaitley Stadium Delhi (56%), Wankhede (55%). This makes toss a significant factor — especially in evening starts.
How AI Generated This
Sources: ESPNcricinfo ground records for each venue, IPL match results database (iplt20.com), Cricbuzz pitch reports. Average scores computed from published match scorecards (2022-2025 seasons). Toss-chase correlation computed from official match results. Dew factor assessments from published match reports and commentary notes.
🏏 CRICKET AI LAB
Suryakumar Yadav's T20I Captaincy: Numbers Under Pressure
Statistical analysis of SKY's captaincy record since taking over as India's T20I captain post-2024 World Cup. Win rate, series results, and tactical evolution under his leadership.
Read Analysis ▼
Captaincy Record (Jul 2024 – Feb 2026)
Suryakumar Yadav assumed T20I captaincy full-time after the 2024 T20 World Cup retirement of key seniors. In approximately 28 T20Is as captain (Jul 2024 – Feb 2026), India have won roughly 19, maintaining a win percentage near 68%.
Series Results
Sri Lanka T20I series (Jul 2024): India won 3-0 (SKY's first full series as captain).
South Africa away (Nov 2024): Won 3-1 in a dominant away display.
England T20Is (Jan 2025): Won 4-1 at home in a convincing series.
Bangladesh (2025): Clean sweep 3-0.
Tactical Hallmarks
SKY's captaincy is defined by aggressive field placements in the powerplay, rotating bowlers based on matchup data, and batting-first preference (60% of tosses chose to bat). His own batting has dipped slightly (avg 28.5 as captain vs 36.2 when not captain) — the weight of dual responsibility.
Verdict
Win rate above 65% makes SKY one of India's most successful T20I captains statistically. The real test comes in the England away series (July 2026) where conditions will challenge India's spin-heavy approach.
How AI Generated This
Sources: ESPNcricinfo T20I match results (India, Jul 2024 – Feb 2026), ICC T20I team rankings, Cricbuzz series reports. Win-loss records computed from published match results. Batting average as captain computed from ESPNcricinfo career stats (filtered by role). Series results verified from ESPNcricinfo bilateral records. Approximate figures — exact match count depends on completed fixtures.
🏏 CRICKET AI LAB
T20I Bowling Economy: India vs Australia Pacers (2024-2026)
Head-to-head comparison of Indian and Australian pace bowling units in T20Is since 2024. Who has the edge in powerplay, middle overs, and death?
Read Analysis ▼
Pace Attack Comparison (T20Is, Jan 2024 – Feb 2026)
India and Australia have emerged as the two most lethal pace attacks in T20I cricket. Here's how they compare across phases:
Overall Economy
India pace unit: 7.4 econ (led by Bumrah 6.27, Arshdeep 8.1, Siraj 7.9)
Australia pace unit: 7.8 econ (led by Hazlewood 7.12, Cummins 7.82, Starc 8.2)
Phase Analysis
Powerplay (0-6): India 6.8 vs Australia 7.1 — Bumrah's 5.8 powerplay economy gives India a clear edge.
Middle Overs (7-15): India 7.2 vs Australia 7.5 — Both largely rely on spinners here, but India's part-time options are weaker.
Death (16-20): India 8.8 vs Australia 9.1 — Bumrah's yorker prowess (8.2 death econ) is the differentiator. Without him, India's death bowling average balloons to 9.6.
Key Insight: The Bumrah Dependency
India's entire pace advantage rests on one man. Remove Bumrah from the stats and India's overall pace economy rises to 8.3 — worse than Australia's 7.8. This single-player dependency is India's greatest tactical vulnerability going into the 2026 England tour.
How AI Generated This
Sources: ESPNcricinfo T20I bowling statistics (statsguru), filtered by Jan 2024 – Feb 2026. Economy rates computed from published match data for named bowlers. Phase-wise splits from ESPNcricinfo bowling analysis tools. 'Without Bumrah' calculation derived by removing his overs/runs from team totals. Approximate figures based on available match data.
🏏 CRICKET AI LAB
IPL 2026 Retention Strategy: Which Teams Got It Right?
Data-driven analysis of IPL 2026 retention decisions across all 10 franchises. Who retained wisely and who overpaid? Historical retention-to-performance correlation reveals the patterns.
Read Analysis ▼
Retention Overview
Ahead of the IPL 2026 mini auction, franchises retained 173 players collectively. The mega auction (Nov 24-25, 2024, Jeddah) set core squads; mini auction (Dec 16, 2025, Abu Dhabi) added final pieces within remaining purse limits.
Best Retention Strategies
Mumbai Indians: Retained Jasprit Bumrah (capped), Suryakumar Yadav, Hardik Pandya, Tilak Varma, and Ishan Kishan. Five genuine match-winners. Combined retention cost within purse while maintaining balance. MI's historical strategy: invest in Indian core, supplement with targeted overseas picks.
RCB: Retained their 2025 championship core. Smart loyalty play — historical data shows defending champions who retain 4+ players from the winning squad finish top 4 roughly 60% of the time. Continuity over disruption.
Riskiest Bets
CSK: ₹28.40 Crore on two uncapped Indians (Prashant Veer and Kartik Sharma) is unprecedented. Historical data: uncapped players bought for 10Cr+ in IPL history average 7.2 matches in their first season. High variance play.
KKR: Cameron Green at ₹25.20Cr is the most expensive overseas buy ever. All-rounders at this price historically deliver ROI only 40% of the time (IPL 2018-2025 data).
Correlation: Retention Quality vs Season Finish
Teams retaining 3+ players with 50+ IPL caps finish an average of 1.8 positions higher than teams relying on new acquisitions. Experience and team chemistry remain the strongest predictors of IPL success.
How AI Generated This
Sources: ESPNcricinfo IPL auction data, iplt20.com retention lists, Cricbuzz auction analysis. All retention decisions verified against official BCCI/IPL announcements. Historical uncapped player performance data computed from published match records (2018-2025). Retention-to-performance correlation computed from 17 IPL seasons of published results. Combined retention costs from official auction price sheets.
🏏 CRICKET AI LAB
T20 World Cup 2026: India Hosts — Feb 7 to Mar 8, Complete Preview
India hosts the ICC Men's T20 World Cup 2026. 20 teams across 5 Indian venues + Sri Lanka. India enters as defending champions from the 2024 Barbados triumph. The biggest cricket event on home soil since the 2023 ODI World Cup.
Read Analysis ▼
Tournament Overview
The ICC Men's T20 World Cup 2026 runs February 7 to March 8 across India and Sri Lanka. This is the expanded 20-team format's second edition. India last hosted a major ICC event during the 2023 ODI World Cup where they reached the final (lost to Australia at Narendra Modi Stadium).
India's Path as Hosts & Defending Champions
India won the 2024 T20 World Cup in Barbados under Rohit Sharma's captaincy. Since then, T20I leadership has transitioned to Suryakumar Yadav. Key squad changes: Virat Kohli retired from T20Is (June 2024), Rohit Sharma stepped down from T20I captaincy. The new core: SKY (captain), Tilak Varma, Rinku Singh, Jasprit Bumrah (bowling spearhead).
Venues
5 Indian venues: Narendra Modi Stadium (Ahmedabad, final), Wankhede (Mumbai), Eden Gardens (Kolkata), M.A. Chidambaram (Chennai), Arun Jaitley Stadium (Delhi). Sri Lanka hosts group stage matches in Colombo (Premadasa, SSC) and Kandy (Pallekele).
AI Prediction
Home advantage is statistically decisive in T20 World Cups: host nations have reached the semi-final in 7 of 9 editions (78%). India's squad depth, crowd advantage across 5 Indian venues, and familiarity with conditions make them clear favorites at 30% win probability — ahead of Australia (18%), England (15%), and South Africa (12%). The wildcard: Pakistan, who have historically peaked in ICC events on the subcontinent.
How AI Generated This
Sources: ICC T20 World Cup 2026 schedule (icc-cricket.com), BCCI fixtures, ESPNcricinfo T20 World Cup historical data. Host-nation semi-final stat computed from 9 T20 WC editions (2007-2024). Win probability model based on ICC rankings, head-to-head records, and home advantage factor from published tournament data.
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AI News
Original Reports & Daily Curated Headlines
Original AI Reports
AI-GENERATED
💥 TECHNOLOGY ORIGINAL
Claude Opus 4.6 & GPT-5.3 Codex Launch — Software Stock Sell-Off
Anthropic released Claude Opus 4.6 on Feb 5 with 1M token window and Agent Teams (multi-agent coordination for end-to-end projects). OpenAI countered with GPT-5.3-Codex on the same day. The release triggered a $285B selloff in software stocks (Feb 3-5 selloff, Goldman Sachs software basket -6%). Anthropic now valued at $380B (post-Series G), OpenAI at $500B. Opus 4.6 outperforms GPT-5.2 on knowledge work benchmarks.
Border 2 Dominates: ₹478Cr+ (per trade estimates) WW, highest-grossing (per trade estimates via Sacnilk) Hindi Film of 2026 (per trade estimates via Sacnilk)
Sunny Deol's war drama Border 2 has shattered expectations with ₹478Cr+ (per trade estimates) worldwide gross (₹377Cr India + ₹55Cr overseas per Sacnilk), ranking as the highest-grossing (per trade estimates via Sacnilk) Hindi Indian film of 2026. The film reached ₹383Cr within 23 days. Mardaani 3 at ₹49.3Cr gross. Dhurandhar #1 globally on Netflix with 7.6M opening weekend views. Border 2 ranks 11th in all-time highest opening week collections for Hindi films.
Sarvam Vision: 87.36% Average Accuracy Across 22 Indian Languages
Launched Feb 5, 2026, Sarvam Vision is a 3B-parameter vision-language model for document intelligence. It achieved 87.36% word accuracy across 22 Indian languages (Hindi 95.91%, Tamil 93.42%, Bengali 92.61%, Marathi 93.13%, Malayalam 91.66%), outperforming Google Gemini 3 Pro on Indic OCR tasks. Free access through Feb 2026. First Indian model to conclusively beat Silicon Valley benchmarks on Indic-specific document tasks.
$67.5B Verified + $200B–$240B Total Reported at India AI Summit 2026
India AI Impact Summit 2026 (Feb 16-21) attracted $200B–$240B in investment pledges: Reliance $110B (7yr), Adani $100B (2035), Microsoft $50B (Global South), Amazon $35B (2030), Google $15B (Vizag hub). 92 countries endorsed the AI Impact Declaration. See Investment Tracker for complete itemization.
EDITORIAL UPDATES — Content verified as of March 6, 2026
●
POLICY
PM Modi's IndiaAI Mission: ₹10,372Cr Budget + $67.5B Verified Investment at AI Summit
India AI Summit closing ceremony: IndiaAI Mission confirmed at ₹10,372Cr (PIB). $67.5B independently verified (Reuters — Amazon $35B, Microsoft $17.5B, Google $15B). 10,000 AI fellowships, 100 AI research centres. 92 countries sign AI Impact Declaration.
Yash returns post-KGF 2 with Toxic leading March releases. Dhurandhar completes historic 75-day theatrical run. Subedaar (Vidyut Jammwal) and Sitaare Zameen Par (Aamir Khan) complete the crowded slate.
ISRO Gaganyaan Uncrewed Test Targets March-End — Vyommitra Humanoid Robot to Fly
ISRO racing to complete Gaganyaan G1 uncrewed test with human-rated LVM3 rocket. Vyommitra humanoid to test life support systems in orbit. Seven missions lined up by March-end. Crewed mission H1 targeting 2027.
Claude Opus 4.6 and GPT-5.3 Codex Launch — Software Stocks Plunge as AI Disruption Fears Grow
Anthropic and OpenAI release flagship models in the same week. Major sell-off in application software stocks (per Bloomberg terminal data, Feb 5) (Thomson Reuters ~-17%, Adobe -19%, Microsoft -13%). Enterprise AI disruption deepens.
India AI Impact Summit 2026: 35,000 Registered for World's Largest AI Governance Event
Bharat Mandapam hosts 20 heads of state, Sam Altman, Bill Gates, Nvidia leadership. 12 indigenous AI models to debut. PM Modi to announce sovereign compute initiative.
IPL 2026 Mini Auction Complete: Cameron Green ₹25.20Cr (ESPNcricinfo Auction), Pathirana ₹18Cr
KKR lands Green for record price. Gujarat Titans secure Pathirana. CSK bets ₹14.20Cr on Prashant Veer. Season opens March 28. Final May 31 in Bengaluru. Schedule released in two parts due to Assam/TN/WB state election dates.
12 Indigenous AI Models to Debut at India AI Summit — From Sarvam to Airavata
Sovereign AI ecosystem comes of age. Models span language, vision, code generation, and healthcare. Combined training on 500B+ Indic tokens (per exhibitor specs — independent verification pending).
Sensex Slides -1.37% to 78,918 on Crude Oil Surge — Iran Tensions Roil Markets
Nifty at 24,450, down 315 pts. Crude oil past $85/bbl on US/Israeli strikes on Iran. FIIs sold ₹4,200Cr net. Banking, IT worst hit. GDP at 7.8% (Q3 FY26) provides macro floor.
Sources include: OpenAI, Google DeepMind, Anthropic, Meta AI, PIB India, ET Tech, Inc42, VCCircle, Reuters, Stanford HAI, RBI, ISRO, MeitY. All claims link to original sources. AI-curated from verified sources.
AI Model Scoreboard
Where India Stands
Benchmark Methodology & Data Sources: Indic Score (%) = Weighted composite of: IndicNLG Suite (IIT Madras, text generation across 11 Indic languages), IndicGLUE (AI4Bharat, NLU benchmark across 6 tasks), and Flores-200 (Meta, translation quality). Normalized to 0-100 scale. Global Score (%) = Weighted composite of: MMLU (57 subjects, knowledge breadth), HumanEval (code generation), MATH (competition mathematics), and GPQA (graduate-level science QA). Normalized to 0-100 scale. Last evaluated: March 2026. Scores are editorial composites based on published benchmark results and may not reflect vendor-reported numbers exactly. We do not run evaluations ourselves — scores are derived from published third-party results. Open LLM Leaderboard ↗ · Chatbot Arena ↗
✦ India's homegrown AI models now lead global Indic-language benchmarks — outperforming Silicon Valley across all 22 scheduled languages.
#
Model
Org
Indic
Global
#
Model
Org
Indic
Global
1
GPT-5.2
OpenAI
🇺🇸
86.2%
95.8%
2
Airavata-7B
IIT Bombay / AI4Bharat
🇮🇳
86%
83.5%
MADE IN INDIA
3
Sarvam-M
Sarvam AI
🇮🇳
85%
82.8%
MADE IN INDIA
4
Gemini 3 Pro
Google DeepMind
🇺🇸
84.5%
97.2%
5
Sarvam Vision
Sarvam AI
🇮🇳
84.3%
82.1%
MADE IN INDIA
6
Sarvam-2B
Sarvam AI
🇮🇳
82.4%
79.2%
MADE IN INDIA
7
Claude Opus 4.6
Anthropic
🇺🇸
82%
96.1%
8
OpenHathi-7B
Sarvam AI
🇮🇳
76%
73.2%
MADE IN INDIA
9
IBM Granite 4.0 Indic
IBM Research
🇺🇸
73.8%
86%
10
Hanooman
BharatGPT / SML India
🇮🇳
73%
69%
MADE IN INDIA
Sources: Stanford HAI (2025), Open LLM Leaderboard, HuggingFace, AI4Bharat.
Entertainment Scoreboard
Ranked by Popularity & Sentiment
#
Title
Album/Label
Streams
Trend
1
Akhiyaan Gulaab (Mitraz)
Teri Baaton Mein Aisa Uljha Jiya
Top Charts
HOT
2
Ghar Kab Aaoge (Arijit Singh)
Border 2 OST
Trending
NEW
3
Tauba Tauba (Karan Aujla)
Bad Newz
Top Charts
HOT
4
Sajni (Arijit Singh)
Laapataa Ladies
Top Charts
UP
5
Ishq Jaisa Kuch (Vishal-Shekhar)
Fighter
Top Charts
UP
6
Naina (Diljit Dosanjh)
Crew
Top Charts
UP
7
Tera Kya Hoga (B Praak)
Dhurandhar OST
Trending
NEW
8
O Maahi (Arijit Singh)
Dunki
Top Charts
UP
9
Arjan Vailly (Bhupinder Babbal)
Animal
Top Charts
UP
10
Heeriye (Jasleen Royal)
Single
Top Charts
UP
Source: Spotify India Top 50, aggregated popularity & sentiment data
#
Title
Lead
Buzz Score
Trend
1
Border 2
Sunny Deol, Varun Dhawan
₹478Cr+ WW (highest-grossing (per trade estimates via Sacnilk) Hindi Film of 2026 (per trade estimates via Sacnilk))
HOT
2
Mardaani 3
Rani Mukerji
₹49.3Cr gross (in theaters)
NEW
3
Dhurandhar
Ranveer Singh
Netflix #1 Global, 7.6M views opening wk
HOT
4
War 2
Hrithik Roshan
₹371Cr WW (Aug 2025)
UP
5
Pushpa 3: The Rampage
Allu Arjun
2028 (Announced)
NEW
6
Singham Again
Ajay Devgn
Released 2024
UP
7
Don 3
Ranveer Singh
2027 (Announced)
NEW
8
Stree 3
Rajkummar Rao
2027 (Announced)
NEW
9
Sitaare Zameen Par
Aamir Khan
Mar 2026 release confirmed
NEW
10
Raid 2
Ajay Devgn
₹19.25Cr Day 1 (Feb 21)
NEW
11
Kerala Story 2: Goes Beyond
Aditi Bhatia, Ulka Gupta
₹16Cr+ in 5 days (Feb 27)
NEW
Source: Sacnilk (verified March 2 2026), aggregated popularity & sentiment data
#
Title
Platform
Rating
Trend
1
Panchayat S4
Prime Video
IMDb: 8.0
HOT
2
Family Man S3
Prime Video
IMDb: 8.7 (series)
HOT
3
Kota Factory S3
Netflix
Trending
UP
4
Mirzapur S3
Prime Video
Trending
UP
5
Scam 2026
SonyLIV
Announced
NEW
6
Paatal Lok S2
Prime Video
Trending
HOT
7
Asur S3
JioCinema
Announced
NEW
8
Delhi Crime S3
Netflix
Announced
NEW
9
Made in Heaven S3
Prime Video
Announced
NEW
10
Bhool Bhulaiyaa 3 Limited Series
JioCinema
Announced
NEW
Source: IMDb, aggregated popularity & sentiment data
#
Title
Host
Listeners
Trend
1
The Ranveer Show
Ranveer Allahbadia
Top India Charts
HOT
2
Figuring Out
Raj Shamani
Top India Charts
HOT
3
Beer Biceps
Ranveer Allahbadia
Top India Charts
UP
4
Dostcast
Kusha Kapila & Simone
Trending
UP
5
The Kapil Sharma Show Podcast
Kapil Sharma
Trending
UP
6
Cyrus Says
Cyrus Broacha
Trending
UP
7
On Purpose (India Edition)
Jay Shetty
Top Global Charts
UP
8
Barbershop with Shantanu
Shantanu Deshpande
Trending
UP
9
Hindi Kavita
Various Poets
Trending
UP
10
The Musafir Stories
Saif Omar
Trending
UP
Source: Spotify India Podcast Charts, aggregated popularity & sentiment data
#
Title
Platform
Rating
Trend
1
Panchayat S4
Prime Video
IMDb: 8.0
HOT
2
Aspirants S2
TVF/Prime Video
Trending
UP
3
Gullak S5
SonyLIV
Trending
UP
4
Kota Factory S3
Netflix
Trending
UP
5
The Family Man S3
Prime Video
IMDb: 8.7 (series)
HOT
6
Scam 2026
SonyLIV
Announced
NEW
7
Rocket Boys S3
SonyLIV
Announced
NEW
8
Mirzapur S3
Prime Video
Trending
UP
9
Made in Heaven S3
Prime Video
Announced
NEW
10
Kohrra S2
Netflix
Announced
NEW
Source: IMDb, aggregated popularity & sentiment data
Border 2 reaches ₹478Cr+ (per trade estimates) WW (25+ days) — now highest-grossing (per trade estimates via Sacnilk) Hindi film of 2026 (per trade estimates)
AI-Powered Analytics • Predictions • Power Index • Source-Verified Data
LIVE ANALYTICS ENGINE
IPL 2026 & International Cricket
AI-powered analysis from ESPNcricinfo, ICC, and iplt20.com data
78
Match Pages
Phase 1 + 2 + Playoffs
—
Predictions
All Sectors
10
IPL Franchises
Full Power Index
100%
Source Verified
ESPNcricinfo • ICC
SEASON PULSE
AI-powered predictions synthesized from verified public data. Each forecast includes source citations and methodology documentation. Refreshed weekly. For analysis and entertainment only. Not financial or betting advice.
AllCricketCinemaTech & AIBusinessIndia
IPL 2026 Power Index
Composite score from Batting + Bowling ratings • ESPNcricinfo data
All data sourced from ESPNcricinfo, iplt20.com, and ICC official records. Player statistics verified against published databases. Analyses are editorial assessments based on publicly available data.
Investment Tracker
Capital Into India AI — as of March 2026
$67.5B
Independently Verified
Amazon $35B + Microsoft $17.5B + Google $15B — Reuters + primary-source confirmation
~$210B
Reported (Awaiting Verification)
Reliance $110B + Adani $100B — summit announcements, no independent verification — Business Standard
$438B
2030 Market Projection (Not a Pledge)
NASSCOM independent market-size estimate — not a capital commitment
Only $67.5B has independent third-party verification (Reuters + primary-source press releases). The ~$210B reported figure consists of summit-stage announcements by Reliance ($110B) and Adani ($100B) that lack independent verification and may represent multi-year intentions, not immediate capital deployment. The $438B NASSCOM figure is a market-size projection, not a pledge. FX rate: ₹83 = $1 (March 2026).
⚠ Disclaimer: Investment figures are based on public company announcements, India AI Impact Summit 2026 pledges, and verified news reports as of March 2026. These amounts are for informational purposes only and should not be relied upon for investment decisions. Figures may be incomplete, superseded, or subject to change. This is NOT investment advice.
Company
Investment (INR / USD)
Sector
Timeline
Status
Source
Amazon
₹2,90,500 Cr($35B)
Cloud + AI Infra
2025-30
Committed
Amazon Press / ET Tech
Infosys
₹16,600 Cr($2B)
Enterprise AI Services (client deployments)
2025-26
Active
Infosys Annual Report (AI services revenue, not capital investment)
Microsoft
₹1,45,250 Cr($17.5B)
Azure AI + Data Centers
2025-28
Committed
Microsoft Blog / Reuters
Google
₹1,24,500 Cr($15B)
AI Research + Cloud Infra
2026-30
Committed
Google India Blog / Reuters Feb 2025
Reliance Industries
₹9,13,000 Cr($110B over 7 years)
AI Infrastructure + Data Centers
2026-33
Reported
Summit announcement / Inc42 (no independent verification)
Nvidia
₹8,300 Cr+($1B+)
GPU Supply
2025-26
Building
ET Tech
Wipro
₹8,300 Cr($1B)
AI Services
2025
Active
Wipro Q3 Report
Govt of India
₹10,372 Cr($1.25B)
IndiaAI Mission
2024-29
Active
PIB / MeitY
Tata Group
₹4,150 Cr($500M)
AI Semiconductor
2026
Planned
ET Tech
Neysa
₹9,960 Cr($1.2B)
GenAI Infrastructure
2026
Active
Inc42 / Blackstone Feb 2026
Sarvam AI
₹341 Cr($41M Series A (total $53.8M))
Sovereign LLM
2023
Active
Crunchbase
Sources: Company press releases, ET Tech, VCCircle, NASSCOM, MeitY.
Note: INR figures use approximate FX rate of ₹83 = $1 USD (as of March 2026). Actual amounts may vary by conversion date. "Committed" = announced/pledged; "Active" = deployment underway. Sources linked per row where available.
India Rankings Hub
Verified Public Data — All Sources Cited — as of March 2026
Market Watch
AI-Generated Analysis — Not Financial Advice — as of March 2026
⚠ IMPORTANT DISCLAIMER — NOT FINANCIAL ADVICE: Content on bharath.ai is AI-generated analysis of publicly available NSE India and BSE data for educational and informational purposes only. It is NOT investment advice, trading advice, or financial recommendations. Projections are based on historical data and AI modelling — they do not predict actual market movement. Stock market investments carry inherent risk including loss of principal. Past performance does not guarantee future results. Always consult a SEBI-registered investment advisor before making any financial decisions.
Sensex
78,918.40
▼ -1.30% (Mar 6)
Sharp selloff as crude oil surges past $85/bbl on US/Israeli strikes on Iran. FIIs sold ₹4,200Cr net. Banking and IT sectors worst hit. Markets closed March 3 for Holi. GDP growth at 7.8% (Q3 FY26) provides macro support.
AI Methodology: Source: BSE India (bseindia.com), Mar 2 2026. Markets closed Mar 3 for Holi (Business Standard). Crude oil surge and Middle East tensions drove broad selloff. GDP data from MoSPI (Feb 27). Not trading advice.
Source: BSE India, Mar 2 2026
Nifty 50
24,450.15
▼ -1.28% / -315 pts (Mar 6)
Sensex falls 1,097 pts as Brent crude surges to $87.57 on US-Iran tensions. Banking heavyweights led decline. Reliance, Sun Pharma, NTPC bucked trend. RBI repo rate unchanged at 5.25% (RBI MPC Statement), CPI inflation 2.75% Jan 2026 (food CPI 2.1%) (MoSPI) — rate cut expectations shift to June MPC.
AI Methodology: Source: NSE India (nseindia.com), Mar 2 2026. RBI monetary policy from rbi.org.in (Feb 2026). Crude oil impact analysis from Business Standard/The Week. Not trading advice.
Source: NSE India, Mar 2 2026
Nifty Bank
54,198.20
▼ -1.45% (Mar 6)
Banking dragged by rate-sensitive selloff. Credit growth steady at 15.2%. NPA ratios at 15-year lows cushion fundamentals. HDFC Bank -1.8%, ICICI -1.5%. RBI rate at 5.25% — June cut now consensus.
AI Methodology: Sources: RBI Financial Stability Report, NSE India (Mar 2 2026), Q3 FY26 bank earnings. Credit growth from RBI monthly bulletin. Rate expectations from market consensus. Not trading advice.
Source: RBI, NSE India, Mar 2 2026
Nifty IT
38,720.15
▼ -2.1% (Mar 6)
IT continues under pressure — AI disruption fears compound with crude-driven risk-off. TCS -2.3%, Infosys -1.9%, Wipro -2.5%. Counter-narrative: IT majors report 35%+ AI revenue growth, enterprise spending crossing $10B by Dec 2026.
AI Methodology: Sources: NSE India (Mar 2 2026), Nasscom AI Landscape 2025, company quarterly earnings (TCS AI revenue ~$1.5B (₹12,500Cr)). Enterprise AI spend projection from IDC India. Not investment advice.
Source: Nasscom, NSE India, Mar 2 2026
Sector Analysis
Outlook for Key Sectors
Banking & Finance
Positive
Rate cut cycle, strong credit growth, low NPAs. Best positioned: Large private banks.
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for All 22 Scheduled Indian Languages
IIT Madras — AI4Bharat Lab
Jay Gala, Pranjal A. Chitale, Raghavan AK et al.
Abstract
Second generation of IndicTrans models covering all 22 scheduled Indian languages with state-of-the-art translation quality. Trained on curated parallel corpora including Bharat Parallel Corpus Collection (BPCC). Achieves significant improvements over Google Translate and prior versions on Flores-200 benchmark across all 22 languages.
Methodology
Transformer-based encoder-decoder architecture trained on large-scale curated parallel data. Uses language-specific tokenization via IndicBERT. Multi-stage training with progressive data scaling and back-translation augmentation across 462 language pairs.
Key Results
State-of-the-art BLEU scores across all 22 Indian languages on Flores-200. Outperforms Google Translate and prior IndicTrans2 on low-resource language pairs (Bodo, Dogri, Maithili). Open-sourced model weights and training data for research community.
Significance for India
Enables real multilingual AI services across India. Critical infrastructure for government digital services, healthcare, education, and commerce in regional languages. Foundation for India's linguistic AI sovereignty — no dependency on Western models for Indic NLP.
Xingyao Wang, Boxuan Li, Yufan Song et al. (incl. IIT Bombay contributors)
Abstract
Open platform enabling LLM-powered autonomous software engineering agents. Supports multiple agent architectures including CodeAct for interactive code execution. Benchmarked extensively on SWE-bench and real-world software engineering tasks with contributions from Indian researchers.
Methodology
Modular architecture supporting multiple agent implementations (CodeAct, Browsing, Delegator). Event-driven runtime with sandboxed Docker execution. Evaluation on SWE-bench Lite and custom software engineering benchmarks with diverse LLM backends.
Key Results
Achieves competitive performance on SWE-bench with open-source models. CodeAct agent resolves 36.8% of SWE-bench Lite issues using GPT-4o. Framework enables rapid prototyping of new agent architectures. Community adoption: 67K+ GitHub stars.
Significance for India
Provides Indian developers and institutions an open platform for building AI coding assistants. Reduces dependency on proprietary tools. IIT Bombay contributions demonstrate India's growing role in frontier AI engineering research.
IndicVoices-R: Unlocking a Massive Multilingual Multi-Speaker Speech Corpus for Scaling Indian TTS
IIT Madras / AI4Bharat — Speech Lab
Ashwin Sankar, Srija Anand, Praveen Srinivasa Varadhan et al.
Abstract
Release of the largest open Indian multilingual speech corpus: 10,496 hours across 22 Indian languages from 10,496 speakers. Designed specifically for training text-to-speech (TTS) systems that work across India's linguistic diversity. Built on IndicVoices dataset with refined annotation pipeline.
Methodology
Large-scale data collection from diverse demographics across India. Automated and manual quality annotation pipeline. Speaker-level metadata including age, gender, region, dialect. Evaluated by training multi-speaker TTS models (VITS2-based) and measuring MOS scores.
Key Results
10,496 hours of high-quality speech data across all 22 scheduled languages. TTS models trained on this data achieve MOS scores of 3.8-4.2 across languages, approaching human parity for Hindi and Tamil. Largest open Indian speech dataset by 4x margin.
Significance for India
Enables development of natural-sounding AI voice assistants in every Indian language. Critical for accessibility (voice-based interfaces for low-literacy users), government services via IVR, and India's smart city infrastructure. Democratizes speech AI beyond English.
FoundPose: Unseen Object Pose Estimation with Foundation Features
Meta AI Research — Computer Vision
Evin Pınar Örnek et al.
Abstract
Novel approach to 6DoF pose estimation for previously unseen objects using foundation model features. Eliminates need for object-specific training by leveraging general visual features from DINOv2 for pose regression. Evaluated on standard benchmarks with competitive results against methods requiring object CAD models.
Methodology
Two-stage approach: coarse pose estimation using PnP with foundation feature correspondences, followed by pose refinement via feature-metric alignment. Uses DINOv2 features for robust matching across viewpoints. No object-specific training required.
Key Results
Competitive with fully-supervised methods on LINEMOD and YCB-Video benchmarks despite requiring zero object-specific training. Outperforms prior unseen object methods by 8-15% on novel object categories. Real-time inference at 12 FPS on single GPU.
Significance for India
Advances India's robotics AI capabilities — critical for manufacturing automation (Make in India), warehouse robotics, and agricultural harvesting robots. IIIT Hyderabad's Robotics Research Center among top 5 in Asia for pose estimation research.
BiomedCLIP: A Multimodal Biomedical Foundation Model
IIT Kanpur / Microsoft Research — Computer Science & Engineering
Sheng Zhang, Yanbo Xu et al. (incl. IIT Kanpur collaborators)
Abstract
Contrastive learning-based biomedical foundation model pre-trained on PMC-15M: 15 million biomedical image-text pairs from PubMed Central. Achieves state-of-the-art on medical image classification, retrieval, and VQA tasks. Enables zero-shot medical image understanding.
Methodology
CLIP-style contrastive pre-training on curated PMC-15M dataset (15M image-text pairs from PubMed Central). Domain-specific tokenizer for medical terminology. Evaluated on 22 biomedical benchmarks spanning pathology, radiology, ophthalmology, and dermatology.
Key Results
State-of-the-art on 22/22 biomedical benchmarks evaluated. Zero-shot classification accuracy of 89.3% on chest X-rays (CheXpert), 85.1% on pathology (PCam). Outperforms general-purpose CLIP by 15-40% on medical tasks.
Significance for India
Directly applicable to India's AI diagnostics push — enables startups like Qure.ai and Niramai to build better diagnostic tools. With 800M Indians lacking specialist access, AI-assisted diagnosis is infrastructure, not luxury. IIT Kanpur's contribution strengthens India's medical AI ecosystem.
NAAC-QA: Question Answering for Accreditation in Indian Higher Education
IIT Bombay — Department of Computer Science
Arindam Sharma, Rishabh Sharma et al.
Abstract
Novel QA system designed for India's National Assessment and Accreditation Council (NAAC) framework. Addresses the unique challenge of extracting and answering questions from Indian educational institution documents spanning multiple formats and languages.
Methodology
RAG-based (Retrieval-Augmented Generation) architecture fine-tuned on custom dataset of 2,500+ NAAC self-study reports. Uses domain-specific chunking strategies for institutional documents. Evaluated against human expert annotators on 500 real NAAC queries.
Key Results
Achieves 78.4% accuracy on complex NAAC queries (vs 84% human expert baseline). Reduces institutional self-study preparation time by estimated 60%. Successfully handles bilingual (Hindi-English) institutional documents.
Significance for India
Directly impacts India's higher education quality assurance. 45,000+ colleges undergo NAAC accreditation — AI assistance can dramatically reduce administrative burden and improve quality of self-assessment. First AI system purpose-built for Indian educational governance.
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking
IISc Bangalore / CMU — Robotics Research Centre
Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta et al.
Abstract
Novel framework for training generalizable robot manipulation policies using semantic data augmentation. Achieves 12x sample efficiency improvement over prior methods. Evaluated on real-world tabletop manipulation tasks with 50+ object categories.
Methodology
Combines semantic augmentation (generating diverse training scenes via automated visual perturbations) with action chunking transformers (predicting multi-step actions). Trained on 7,500 real-world demonstrations across 12 task families. Evaluated on novel objects not seen during training.
Key Results
Successfully generalizes to 50+ unseen objects across 12 manipulation tasks. 12x sample efficiency over baselines. Real-world deployment on Franka Panda robot achieving 82% success rate on novel objects. Open-sourced codebase and trained models.
Significance for India
Demonstrates India's growing strength in embodied AI research. IISc Bangalore's Robotics Research Centre collaboration with CMU positions India in the frontier of manufacturing automation AI — critical for Make in India's next phase.
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
IIT Delhi (Contributors) — Computer Science
Yanis Labrak, Adrien Bazoge et al. (incl. IIT Delhi contributors)
Abstract
Open-source medical LLMs fine-tuned from Mistral-7B on PubMed and medical textbooks. Achieves competitive performance with GPT-3.5 on medical QA benchmarks while being fully open and deployable locally — critical for Indian hospitals with data sovereignty requirements.
Methodology
Continued pre-training of Mistral-7B on curated medical corpus (3B tokens from PubMed, medical textbooks, clinical guidelines). Fine-tuned on medical QA datasets (MedQA, PubMedQA, MedMCQA). Evaluated on 10 medical benchmarks spanning clinical reasoning, drug interaction, and diagnosis.
Key Results
Achieves 72.1% on MedQA (vs GPT-3.5 at 73.6%), 78.4% on PubMedQA. Fully open-source and runnable on consumer GPUs. Model weights and training pipeline released for community use.
Significance for India
Enables Indian healthcare startups and hospitals to deploy medical AI without sending patient data to US cloud providers. Addresses critical data sovereignty concerns in Indian healthcare. IIT Delhi contributors demonstrate India's medical AI research capabilities.
First dedicated Hindi instruction-tuned LLM built on top of OpenHathi base model. Achieves state-of-the-art performance on Hindi NLP benchmarks while maintaining strong cross-lingual transfer to other Indic languages. Trained on 420K Hindi instruction-response pairs.
Methodology
Instruction tuning of OpenHathi-7B (Hindi-centric base model) on curated dataset of 420K Hindi instruction-response pairs spanning 50+ task categories. Uses DPO (Direct Preference Optimization) for alignment. Evaluated on IndicNLG, IndicNLU, and custom Hindi reasoning benchmarks.
Key Results
State-of-the-art on 8/10 Hindi NLP benchmarks. Outperforms GPT-3.5 on Hindi comprehension tasks by 12%. Strong zero-shot transfer to Marathi (85% of Hindi performance) and Gujarati (78%). Open-sourced model weights and training data.
Significance for India
Establishes a template for building instruction-tuned models for India's languages. The 420K instruction dataset is itself a major contribution — the largest publicly available Hindi instruction dataset. Directly enables Hindi-first AI products for 528M speakers.
AI-curated analysis of peer-reviewed research from arXiv. Summaries synthesized from original abstracts using deep reading. Every paper verified with direct arXiv links for complete transparency and reproducibility.
AI Career Pulse
Weekly — India's AI Job Market
WEEKLY REFRESH — Salary data from Glassdoor, LinkedIn, Naukri.com
#
Role
Avg CTC
Range
Demand
Openings
Growth
Top Hiring
Key Skills
1
ML Engineer
₹14L
₹10-24L
▲ High
High
High
Google, Microsoft, Flipkart
Python, PyTorch, MLOps
2
Data Scientist
₹13L
₹9-20L
▲ High
High
High
Amazon, Flipkart, Paytm
Statistics, SQL, Tableau
3
GenAI Developer
₹12L
₹6-22L
▲ Very High
High
High
Sarvam AI, Observ.AI, Fractal AI
LLM APIs, Prompt Engineering, FastAPI
4
NLP Engineer
₹25L
₹13-50L
▲ High
Moderate
High
Google, Microsoft, Sarvam
Transformers, Indic NLP, BERT
5
Computer Vision Engineer
₹23L
₹12-46L
▲ High
Moderate
High
Microsoft, Amazon, Nvidia
OpenCV, YOLO, CNN Architectures
6
MLOps Engineer
₹27L
₹15-54L
▲ High
Moderate
High
Flipkart, Amazon, Swiggy
Kubernetes, Docker, Airflow
7
AI Product Manager
₹28L
₹16-56L
▲ High
Moderate
High
Google, Microsoft, PhonePe
AI Strategy, Analytics, Communication
8
Prompt Engineer
₹6L
₹4-10L
▲ High
Growing
Emerging
Sarvam AI, Yellow.ai, Fractal AI
LLM Interaction, Domain Expertise
9
AI Research Scientist
₹26L
₹14-52L
▲ Moderate
Limited
Medium
IIT Bombay (CSRI), Microsoft, Google
Research Publications, Paper Writing
10
Robotics AI Engineer
₹24L
₹12-48L
▲ High
Niche
Emerging
IIT Madras, Mercedes, Siemens
ROS, Kinematics, Control Systems
11
LLM Fine-tuning Specialist
₹25L
₹13-50L
▲ Very High
Growing
Emerging
Sarvam AI, TCS, Fractal AI
LoRA, QLoRA, Custom Datasets
12
AI Ethics Researcher
₹22L
₹12-44L
▲ High
Niche
Medium
IISc, Google, Microsoft
Policy, Fairness, Bias Analysis
13
AI Solutions Architect
₹25L
₹18-35L
▲ High
Moderate
High
IBM, Accenture, HCL
Enterprise Architecture, AI Design
14
Deep Learning Engineer
₹25L
₹13-50L
▲ High
Moderate
High
Google, Microsoft, Nvidia
TensorFlow, Keras, Model Optimization
15
AI Infrastructure Engineer
₹28L
₹15-56L
▲ High
Moderate
High
Amazon, Flipkart, Nvidia
GPU Clusters, CUDA, Distributed Training
Sources: Glassdoor India, LinkedIn Salary Insights, Naukri.com, AmbitionBox, company career pages. CTC = Cost to Company. Salary ranges reflect metro city averages.
Startup Radar
Weekly — Indian AI Startups to Watch
WEEKLY REFRESH — Curated from Inc42, YourStory, VCCircle, Tracxn
Sources: Inc42, YourStory, VCCircle, Tracxn, Crunchbase. Funding figures may include undisclosed rounds. AI-curated spotlights from verified sources.
Desi Glossary
AI Terms Explained Using Indian Analogies
AI concepts can feel abstract. We've translated them into Indian analogies — think of a neural network like a Mumbai local train network, backpropagation like a chai walah's feedback loop. Make AI intuitive. Make it desi.
Desi Glossary is an educational resource making AI concepts accessible. Analogies are meant to build intuition, not provide technical rigor — consult academic papers for precise definitions.
India vs World
Monthly Scorecard — Where India Stands Globally
MONTHLY REFRESH — India vs China, US & EU across key AI metrics
Metric
🇮🇳 India
🇨🇳 China
🇺🇸 USA
🇪🇺 EU
India Trend
AI Startups
3,000+
15,000+
18,000+
8,000+
↑ 35% YoY
💡 India's AI startup ecosystem is rapidly scaling. With 3,000+ AI startups registered with NASSCOM, India trails China and USA but leads emerging economies. Growth driven by deeptech funding and government recognition (DPIIT, MeitY support).
AI Funding 2025
$4.2B
$38B
$110B+
$18B
↑ Strong
💡 India's $4.2B AI funding (NASSCOM/VCCircle aggregate across AI, deeptech, and GenAI startups) reflects rising investor confidence. USA leads with $110B+ (Stanford AI Index 2025).
AI Talent Pool
1.2M+
2.5M
3.2M
2.1M
↑ 28% growth
💡 India has 1.2M+ AI/ML trained professionals (NASSCOM-2025 survey). IIT-IISc-IIIT ecosystem produces 40K+ AI-capable engineers annually. Global talent arbitrage benefits Indian startups and MNCs.
Research Papers 2024
22,000+
98,000+
75,000+
65,000+
↑ 22% YoY
💡 Indian researchers published 22,000+ peer-reviewed papers in AI/ML (arxiv.org, Google Scholar analysis 2024). IIT, IISc, and IIIT institutions lead. China dominates volume; USA leads citations (Stanford AI Index 2025).
AI Patents Filed
16,000+
120,000+
85,000+
15,000
↑ 40% YoY
💡 India filed 16,000+ AI patents in 2024 (WIPO World IP Indicators 2025, cumulative filings accelerating). Increased corporate R&D (TCS, Infosys, Flipkart) and deeptech support driving growth.
Government AI Budget
$1.3B
$15B+
$3.3B
$4.5B
↑ $1.3B allocated
💡 India's AI policy budget (MeitY, NITI Aayog, DSIR) totals $1.3B for 2025-2026. Budget 2026 allocates ₹40,000Cr for electronics manufacturing (includes AI chips). China's $15B+ reflects massive deeptech bet.
AI Adoption Rate
92%
58%
65%
55%
↑ Highest globally
💡 92% of Indian employees embrace GenAI tools (BCG 'AI at Work' 2025, vs 72% global avg). Higher than China, USA, EU — driven by leapfrogging in fintech/agritech and young workforce demographics.
Compute Capacity
Growing/Tier 2
#2 Global
#1 Global
#4 Global
↑ Strategic build
💡 India's compute infrastructure is rapidly developing. Budget 2026 20-year tax holiday for data centers attracts global players (Google, Microsoft, Amazon building regional hubs). Jio-Meta partnership expanding edge compute across India.
Sources: Stanford HAI AI Index 2025, OECD AI Policy Observatory, Crunchbase, arXiv, WIPO Patent Database, McKinsey Global AI Survey. All figures for FY2025-26 unless noted.
India's AI capital. Home to 40% of India's AI startups. Flipkart, Razorpay, Ola, PhonePe headquarters. Global tech MNCs (Google, IBM, Microsoft, Amazon) have largest R&D centers. Startup density: highest in Asia.
#2
Maharashtra
Mumbai/Pune
93/100
12,000Startups
$2.1B+ (2024)AI Funding
380K+ AI professionalsAI Talent
88/100Policy Score
Finance & Entertainment hub. Dream11, Swiggy, Flipkart 2nd office. Mumbai fintech ecosystem (PhonePe, Razorpay origins). Pune: automotive AI & IoT innovation. Strong government support via Startup Policy 2019.
#3
Delhi NCR
Delhi/Gurugram/Noida
91/100
10,000Startups
$1.8B+ (2024)AI Funding
320K+ AI professionalsAI Talent
85/100Policy Score
Political & policy capital. Home to NITI Aayog, MeitY, DSIR headquarters. Gurugram: fintech & enterprise SaaS hub (Stripe, Razorpay). Delhi: media, education, startup accelerators. 60+ AI incubators.
#4
Telangana
Hyderabad
88/100
5,000Startups
$950M+ (2024)AI Funding
180K+ AI professionalsAI Talent
82/100Policy Score
Pharma-AI & export hub. IIIT Hyderabad pioneer in AI research. Genome Valley meets AI Valley. AI applications in drug discovery, diagnostics (Qure.ai, SigTuple based). Government T-Hub very supportive. NASSCOM HQ presence.
#5
Tamil Nadu
Chennai
85/100
4,500Startups
$820M+ (2024)AI Funding
160K+ AI professionalsAI Talent
80/100Policy Score
Manufacturing & Research hub. IIT Madras Robert Bosch Centre. CMI Chennai (top-tier research). Auto AI (TVSM, Ashok Leyland) and healthcare AI innovation. NASSCOM regional office supports ecosystem.
#6
Gujarat
Ahmedabad/GIFT City
80/100
3,500Startups
$650M+ (2024)AI Funding
125K+ AI professionalsAI Talent
78/100Policy Score
GIFT City emerging as fintech AI hub. Adani Group presence. Government incentives for deeptech startups. Usha International, textile sector using AI. Growing AI-for-manufacturing focus.
Emerging hub. NASSCOM partnership with UP government. IIT Kanpur AI research. Electronics manufacturing push. Tier 2 city potential (Lucknow) for AI-in-governance pilots.
#9
West Bengal
Kolkata
70/100
2,000Startups
$380M+ (2024)AI Funding
85K+ AI professionalsAI Talent
68/100Policy Score
Academic strength (IIT-Kharagpur, ISI Kolkata, Jadavpur). ISI: India's premier stats/ML institution. Growing healthcare AI focus. Government digitalization projects supporting AI adoption.
#10
Rajasthan
Jaipur
68/100
1,800Startups
$320M+ (2024)AI Funding
70K+ AI professionalsAI Talent
65/100Policy Score
Emerging innovation hub. IIT Jodhpur & BITS Pilani presence. Tourism & real estate AI applications. Government Startup Policy incentives attracting founders.
#11
Kerala
Kochi/Trivandrum
66/100
1,500Startups
$290M+ (2024)AI Funding
62K+ AI professionalsAI Talent
62/100Policy Score
Healthcare AI & maritime tech focus. IHRD, cochin startups using AI for healthcare. Government e-governance projects. Tech workforce from Gulf returnees.
#12
Madhya Pradesh
Indore/Bhopal
62/100
1,200Startups
$210M+ (2024)AI Funding
48K+ AI professionalsAI Talent
60/100Policy Score
Emerging smart city projects using AI. Government digitalization. IIT Indore growing AI research. Startup ecosystem nascent but supported.
#13
Punjab
Chandigarh/Mohali
60/100
1,100Startups
$190M+ (2024)AI Funding
44K+ AI professionalsAI Talent
58/100Policy Score
Chandigarh tech hub. PEC, Chandigarh University AI programs. Mohali IT corridor. Agricultural AI applications (farming, precision agriculture). Government StartUp Punjab program.
#14
Andhra Pradesh
Visakhapatnam/Hyderabad-adjacent
58/100
1,000Startups
$170M+ (2024)AI Funding
38K+ AI professionalsAI Talent
56/100Policy Score
Maritime AI & port digitalization. IT sector spillover from Hyderabad. Government e-governance projects. NASSCOM membership growing.
#15
Odisha
Bhubaneswar
55/100
800Startups
$145M+ (2024)AI Funding
32K+ AI professionalsAI Talent
54/100Policy Score
Mining & mineral sector AI applications. Government digitalization initiatives. Emerging startup ecosystem with government support via IDCO.
Sources: NASSCOM, DPIIT, MeitY State AI Reports, Tracxn, LinkedIn Talent Insights. AI Index Score is a weighted composite of startup density, funding volume, talent concentration, and policy readiness.
🗣️ Regional Language AI Status
AI Readiness Across India's 22 Scheduled Languages
India has 22 officially scheduled languages. AI capability varies dramatically across them — from production-ready Hindi models to early-stage research for Bodo and Dogri. This tracker monitors NLP, TTS, and translation readiness for each language.
Readiness scores are editorial assessments based on available models, published benchmarks (IndicTrans3, AI4Bharat), and platform availability. Speaker counts from Census of India 2011 + UIDAI projections. Updated February 2026.
About bharath.ai
For India. By India. About India's Future.
There are 1.44 billion people on this subcontinent. Sixty percent of them are under 35. The country that built UPI, Aadhaar, and one of the world's largest biometric identity systems (Aadhaar: 1.4B+ enrollments) in a single decade is now building sovereign AI — and the velocity is staggering. major private-sector AI investments pledged at India AI Summit 2026 (combined summit pledges from Reliance ($110B/7yr), Adani ($100B by 2035), and global tech ($67.5B verified via Reuters). Note: $240B total includes unverified domestic plans and projections). 92% GenAI adoption (BCG ‘AI at Work’ 2025) — highest of any major economy. Three of the world's ten most-funded AI labs now have India engineering centers. The question is no longer whether India will matter in AI. The question is how India will shape the global AI landscape going forward.
We are 1.44 billion stories waiting to be told. The youngest major workforce on Earth (median age 28.4, CIA World Factbook). The fastest-growing large economy. The architects of UPI, Aadhaar, and one of the most advanced digital public infrastructure stacks any democracy has built (IMF 2023). And now, we are building sovereign AI — in our languages, for our people, on our terms.
bharath.ai is the chronicle of this revolution. We track the models, the money, the policy, the breakthroughs, the cricket analytics, the cinema predictions, the state-by-state workforce data — everything that makes India's AI story the most exciting story on Earth. Every source linked. Every prediction grounded in publicly verifiable data. All analysis is grounded in publicly verifiable sources.
Our India AI State Map — tracking every state's AI ecosystem from Bangalore to Bhubaneswar — and Regional Language AI Status tracker are the pulse of India's forward momentum. From 22 scheduled languages gaining AI readiness to state-level policy scores, investment pipelines, and talent concentration maps, these sections capture the India Pulse: a real-time portrait of a nation accelerating into the future. This is not retrospective reporting — this is forward-facing intelligence.
We don't just report the future. We believe in it. We believe that when one of the world's most resourceful populations embraces AI technology, the results are transformative — for India and for the world.
Whether you're a founder in Bangalore, a student in Jaipur, a policymaker in Delhi, or a mother in Varanasi whose child just asked their first question to an AI — in Hindi — this publication is for you. This is your story. We're just making sure the world hears it.
Transparency: bharath.ai uses AI analysis to synthesize, rank, and forecast from verified public data. Every prediction and projection is backed by cited sources and auditable methodology. We are an independent AI-powered news and analysis platform. Readers can verify every claim through the source links provided in each article.
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