FigureAsia 35 Under 35 · Business
Adarsh Hiremath
Age 22 · AI talent and expert-work infrastructure · United States / Indian diaspora
Built expert-labour infrastructure for commercial artificial-intelligence development
- Approximate age at the edition boundary
- 22
- Field
- Business
- Country or region
- United States / Indian diaspora
- FigureAsia U35 Assessment
- 92.5 / 100
Profile
Career and operating record
The platform paid about US$1.5 million a day to a network of roughly 30,000 experts across professional disciplines. That operating evidence explains why Adarsh Hiremath entered the final comparison.
Adarsh Hiremath is a technical founder and operator and serves as co-founder and chief technology officer at Mercor. In enterprise software and business services, the work addresses matching specialised human experts with companies that need high-quality training, evaluation and domain work for artificial-intelligence systems.
The platform paid about US$1.5 million a day to a network of roughly 30,000 experts across professional disciplines. Hiremath led technical systems for matching, work allocation and quality control as the company scaled beyond conventional recruitment.
As co-founder and CTO, Hiremath owns the platform’s technical architecture; commercial contracting and corporate leadership remain shared with his two co-founders.
Mercor made expert human judgement a visible operating input to AI development and created paid work at a scale larger than many model-evaluation programmes. The limitations are equally clear: Annualised revenue and payment figures are company reported, while worker classification and quality-assurance controls need continuing scrutiny.
FigureAsia selection
Why Adarsh Hiremath is on the list
Mercor reported reaching approximately US$500 million in annualised revenue during 2025 as demand for expert work expanded. As co-founder and CTO, Hiremath owns the platform’s technical architecture; commercial contracting and corporate leadership remain shared with his two co-founders.
Hiremath’s technical accountability and realised expert-payment system outweighed young founders whose cases depended chiefly on paper valuation.
The platform paid about US$1.5 million a day to a network of roughly 30,000 experts across professional disciplines. Hiremath led technical systems for matching, work allocation and quality control as the company scaled beyond conventional recruitment.
Annualised revenue and payment figures are company reported, while worker classification and quality-assurance controls need continuing scrutiny.
Verified work
The 2025–26 business record
Operating result
Mercor reported reaching approximately US$500 million in annualised revenue during 2025 as demand for expert work expanded. As co-founder and CTO, Hiremath owns the platform’s technical architecture; commercial contracting and corporate leadership remain shared with his two co-founders.
Market consequence
The platform paid about US$1.5 million a day to a network of roughly 30,000 experts across professional disciplines. The result was completed within Hiremath’s verified responsibilities as co-founder and chief technology officer at Mercor, while delivery remains credited to the relevant team and partners.
Strategic execution
Hiremath led technical systems for matching, work allocation and quality control as the company scaled beyond conventional recruitment. The evidence connects Hiremath to strategy and accountable execution; organisational output is not assigned to the individual wholesale.
Market context
The work in its market
Adarsh Hiremath is assessed against founders and operators in enterprise software and business services. Company performance establishes scale; individual credit follows only where the public record ties decisions and execution to the person’s role.
FigureAsia U35 Assessment
Assessment breakdown
92.5out of 100
Operating execution
27.8 / 30
Mercor reported reaching approximately US$500 million in annualised revenue during 2025 as demand for expert work expanded. As co-founder and CTO, Hiremath owns the platform’s technical architecture; commercial contracting and corporate leadership remain shared with his two co-founders. The result is completed and operational rather than announced.
Commercial consequence
23.1 / 25
The record produced measurable consequence in ai talent and expert-work infrastructure, with company-wide outcomes kept distinct from personal credit.
Individual agency
18.5 / 20
As Co-founder and technical leader, Adarsh Hiremath held an identifiable decision-making and execution remit.
Industry influence
13.9 / 15
Built expert-labour infrastructure for commercial artificial-intelligence development. The work established a reference point beyond one financing or publicity cycle.
Asian and global relevance
9.2 / 10
Indian-American entrepreneur from an immigrant family The work also carries consequence beyond one immediate market.