Abhishek Choudhary is the Co-Founder and CTO of TrueFoundry, a Series A-backed AI infrastructure platform that helps enterprises deploy, manage, and govern machine learning models at scale. A former Senior Staff Engineer at Meta — where he worked on infrastructure serving over a billion users — he left to build the platform he wished had existed at Facebook: one that brings Meta-level AI automation to every enterprise. An IIT Kharagpur alumnus, he co-founded TrueFoundry in 2021 alongside batchmates Nikunj Bajaj and Anuraag Gupta, and has since grown it to serve clients like NVIDIA, Siemens Healthineers, and ResMed, raising $21.3M in total funding.
Anuraag Gutgutia is co-founder of TrueFoundry, a San Francisco-based enterprise AI platform that lets companies build, deploy, and govern generative and agentic AI inside their own cloud infrastructure. A quantitative analyst turned repeat entrepreneur, he spent seven years at WorldQuant rising to VP of Portfolio Management and the CEO's office before co-founding the talent platform EntHire (acquired by InfoEdge/BigShyft) and then TrueFoundry in 2021 alongside two IIT Kharagpur batchmates. TrueFoundry has raised $21.3M in total funding - including a $19M Series A led by Intel Capital in February 2025 - and serves Fortune 1000 companies seeking to run AI workloads without infrastructure complexity or data-sovereignty tradeoffs.
Nikunj Bajaj is the Co-Founder and CEO of TrueFoundry, a San Francisco-based enterprise AI infrastructure platform that lets companies build, deploy, and govern machine learning and generative AI applications on Kubernetes - in cloud, on-prem, or hybrid environments. An IIT Kharagpur and UC Berkeley alum, Bajaj previously led machine learning at Facebook where he helped launch the company's first on-device model on Messenger and built the Proactive Assistant. He founded TrueFoundry in 2021 alongside two IIT Kharagpur batchmates, raised $21.3M (including a $19M Series A led by Intel Capital in 2025), and counts Siemens Healthineers, NVIDIA, and Automation Anywhere among customers - compressing typical AI deployment timelines from 14 months to under four.