Comma3 Ventures snagged Shashank Yadav’s its marque speaker for 20 Sep 2025. The summit happens alongside TOKEN2049 in Singapore. The pick snagged quick coverage across tech and crypto. Shashank Yadav leads Fraction AI, on-chain AI on ethereum. And he mixes IIT Delhi rigor, Goldman Sachs ML experience and Auquan scale-up success. He supports open ai development. And he wants everyone to teach brokers in English. No code needed. It takes advantage of contests with on-chain rewards. It fuels momentum, security and fairness. All just feels like a watershed moment for AI and blockchain. Central labs hold power today. Community systems now push forward.
Vision and platform
Here’s how it works. Fraction AI fuels on-chain agent fights Smart contracts trace submissions, regulations, and incentives. Users send job requests in natural language. Agents test and optimize with data. Winners earn tokens or ETH. Scoring stays public and auditable. Barriers drop for new builders. No special hardware is needed. Guided tasks structure the work. This helps students and small groups. It beats big tech to opening the gates.
The model targets core bottlenecks. Central labs burn huge budgets. Tiny teams can’t toy with that budget. Issues of control and privacy also escalate. Fraction AI prioritizes training. Laws your on chain stay in sight That creates trust and breathtaking paths. It avoids single points of failure. Communities should be able to fork the assignments. Frequent contests drive iteration. The loop amplifies returns. Contributors share upside through tokens. Domain ‘Spaces’ organize work by subject. We did have healthcare and logistics tracks as well. Metrics stay clear and simple. Builders aim for real outcomes.
Global impact
This shift extends broadly. Open tracks bring diverse talent. So builders in Lagos or hanoi can opt in. Labor and blessings that are transparent establish righteous laws. That mirrors open-source momentum. Small wins add up fast. Public review prunes bad ideas quick. Strong ideas gather help quickly. Shashank Yadav stresses concrete proof. Yadav points to sold networks and usage. He pushes demos over slides. He shows scoreboards and payouts. That invites scrutiny and trust. It also trains new teams quickly. They learn by doing, not dithering!
Real use cases stick now. Hospitals could trial agents on synthetic data. Labels and rules are open and confirmable. Supply chains may push route assignments out. Costs and results stay transparent. Security groups can play red-blue agent gamesRewards flow to effective defenses Incentives stay aligned with outcomes. Grants can fund high-signal tracks. Schools may have tracks. That broadens the talent pool fast. It also lowers hiring bias. Shashank Yadav live with this! TOKEN2049 energizes the stage and audience. The timing helps adoption.
Conclusion
Shashank Yadav’s headliner slot embodies that transition in very human terms. Decentralized AI ships past pilots. Fraction AI clears a path. Use prompts, not code. Run contests on-chain. Pay for measurable gains. Make data flows auditable end to end eliminate centralized bottlenecks eliminate single points of failure share ownership with contributors. It also minimizes waste and over production. It generates trust and confidence as well. The summit gives a strong stage. TOKEN2049 brings proof-hungry builders. If demos land, momentum follows. Fields like health and supply chain might realize immediate benefits. Shashank Yadav, however, would like to have a data-based argument about that.
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