
TrueFoundry is a Cloud-native PaaS for Machine learning teams to build, deploy and ship ML/LLM Applications on their own cloud/on-prem Infra in a faster, scalable, cost efficient way with the right…

TrueFoundry is a Cloud-native PaaS for Machine learning teams to build, deploy and ship ML/LLM Applications on their own cloud/on-prem Infra in a faster, scalable, cost efficient way with the right…
What they do: Cloud-native PaaS to build, deploy, manage, and optimize LLM/agentic AI applications across cloud, VPC, hybrid, and on-prem
Founded: June 2021
Founders: Nikunj Bajaj, Abhishek Choudhary, Anuraag Gutgutia
Funding: Seed $2.3M (2022); Series A $19M (2025) — total > $21M
Investors: Intel Capital (Series A lead), Peak XV (Sequoia Surge), Eniac Ventures, Jump Capital, angels
Operationalizing LLMs and agentic AI at enterprise scale across diverse infrastructure footprints while enforcing governance and cost efficiency.
2021
Software Development
$2.3M
Participation from Eniac Ventures and angel investors
$19M
Participation from Peak XV, Eniac Ventures, Jump Capital and multiple angel investors
“Led by Intel Capital at Series A with participation from established VCs and prominent angel investors”
Build the Future of Scalable AI at TrueFoundry At TrueFoundry , we're redefining how ML teams train, deploy, and scale their models. Our LLMOps and MLOps platform empowers organizations to experiment faster, train large-scale models reliably, and deploy them seamlessly on Kubernetes with the same muscle as Big Tech.
We're looking for ML Engineers who are passionate about scaling deep learning workloads, optimizing multi-GPU training, and shipping production-grade solutions. If you live and breathe PyTorch, multi-node training, and love solving gnarly infra challenges this is your place.
What You'll Work On
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