Turning AI infrastructure into a tradable commodity—meet the team behind the marketplace
A New Marketplace for AI Compute
Niraj Yagnik co‑founders FPX AI with chief executive Dhyay Bhatt to create the first open exchange for artificial intelligence resources. The platform treats GPUs, rackspace, and power as standardized commodities that can be listed, bought, sold, and deployed in real time.
Why the AI Compute Gap Matters
The current landscape is dominated by the biggest players who lock early access to hard‑to‑train models and idle hardware. Chips are scarce, power contracts are inefficient, and much inventory remains unused. Yagnik describes this imbalance as a market failure that keeps millions of dollars in capacity idle while startups and research teams wait in line.
How FPX Is Rebalancing the Market
- Liquidity – Sellers list idle inventory; buyers can snap it up immediately.
- Transparency – Pricing is clear and terms are consistent.
- Fairness – Access is driven by need and speed rather than size or influence.
Yagnik says the effect is two‑fold: it improves efficiency and creates a fairer system for innovation. The current setup leaves capacity wasted on one end and progress restricted on the other.
Background and Experience
Before founding FPX, Yagnik led product at BitOoda, a digital infrastructure investment bank. He worked across AI, software, legal, technical, and compliance domains, gaining a deep understanding of the demand for compute infrastructure. Paradoxically, his work revealed the lack of transparency in the industry. Traditional commodities benefit from mature marketplaces; AI infrastructure still operates in a fragmented, informal system.
Yagnik blends engineering with academic research. He grew up in central Mumbai, began coding at 12, earned a Bachelor’s in Computer Engineering, and most recently completed a Master of Science in Computer Science at UC San Diego with a concentration in AI. His research spans explainable AI and evolutionary algorithms.
Beyond AI: Building for Construction
Alongside FPX, Yagnik and Bhatt are developing Aurexis, an AI‑native platform for engineering, procurement, and construction firms. The construction industry, one of the largest globally, remains poorly digitized. Aurexis offers AI‑driven support for everything from site selection to safety tracking and field operations, aiming to reimagine workflows rather than layer automation onto broken systems.
In Massachusetts, the team is working with contractors on multimillion‑dollar projects, helping teams execute faster and with greater visibility.
Mission to Lower Barriers
Yagnik’s guiding principle is accessibility: FPX gives smaller players a path to GPU access without insider connections; Aurexis grants mid‑size contractors tools historically reserved for the biggest firms. Both ventures focus on lowering technological entry barriers.
Teaching and Thought Leadership
He advises the Generative AI for Value Creation program at Southern Connecticut State University, designs curricula that marry technical expertise with business relevance, and has lectured at UC San Diego and Manipal Institute of Technology on AI ethics, infrastructure economics, and market translation.
Personal Foundations
Raised in Mumbai’s resource‑rich, tight‑knit community, Yagnik values resourcefulness and grit. His longstanding partnership with Bhatt dates back to childhood, fostering a trust essential for high‑pressure ventures. He credits family support for his unconventional career path.
Looking Ahead
Yagnik envisions FPX as a global backbone for AI infrastructure— a neutral marketplace where GPUs and power are traded with clarity and confidence. With Aurexis, he aims to modernize construction software, prioritizing execution, safety, and long‑term impact.
In an era brimming with “what AI can do,” Yagnik concentrates on “what it requires.” Compute, power, coordination. He works on the unseen systems that everyone depends on, without chasing fleeting attention.
