model-deployment
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Automaton AI Infosystem Pvt. Ltd.
Automaton AI is betting that enterprise AI will be won in the unglamorous stretch between a promising model and a system that survives production. Its answer is ADVIT Studio - a self-hosted workspace built to keep data, training, deployment and oversight under one roof.
Anuraag Gutgutia
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.
DataRobot
DataRobot is an enterprise AI platform company founded in 2012 that helps organizations build, deploy, govern, and monitor predictive and generative AI. A pioneer of automated machine learning (AutoML), the company has since expanded into MLOps, generative AI, and agentic AI, letting technical and business teams move models from experimentation into production with governance and observability built in. More than 1,000 organizations - including enterprises, hospitals, and government agencies - rely on its platform, now centered on an Agent Workforce Platform co-engineered with NVIDIA.
VESSL AI
VESSL AI is an MLOps and GPU-cloud company that helps AI teams train, deploy, and scale machine learning models without wrestling with infrastructure. Its platform pools GPU capacity across on-premise clusters and multiple cloud providers, automatically routing workloads to the cheapest available resources - a hybrid, multi-cloud approach the company says can cut GPU spend by up to 80%. Founded in 2020 by ex-Google and PUBG engineers and split between Seoul and the San Francisco Bay Area, VESSL serves roughly 50 enterprise customers and 2,000-plus users, and has expanded into AI-agent tooling with its open-source Hyperpocket project.
Cake
Cake is a New York-based startup that bundles the sprawling open-source AI stack into a single managed platform, so companies - especially in regulated industries like finance, insurance and healthcare - can deploy AI inside their own cloud without wiring together 100+ tools by hand. Founded in 2022 by Misha Herscu and Skyler Thomas and launched from stealth in December 2024 with a $13M seed led by Google's Gradient Ventures, Cake handles the integration, security, governance and cost-monitoring glue around open-source components like LangChain, Ray, MLflow and vector databases, all deployed inside a customer's own VPC so data never leaves.
James Rebesco
James (Jim) Rebesco is the co-founder and CEO of Striveworks, an Austin-based AI company that helps the U.S. defense and national-security community build, deploy, and monitor machine-learning models at scale through its Chariot platform. A physicist by training (Caltech) and a computational neuroscientist by doctorate (Northwestern), he spent seven years as a partner at high-frequency trading firm Virtu Financial before turning to operational AI. Under his leadership Striveworks has landed a $70M enterprise government agreement, raised a Series B led by Washington Harbour Partners, and become the first company to bridge the U.S. Army's two largest battlefield AI efforts.
Striveworks
Striveworks is an Austin-based AI operations company whose Chariot platform helps organizations build, deploy, monitor, and retrain machine learning models in hours rather than months. Built for highly regulated and contested environments - especially U.S. national security and allied defense - Chariot pairs a fast MLOps workflow with end-to-end data and model lineage, giving customers governance and provenance over models that must keep working when conditions change.
Abhishek Choudhary
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.
TrueFoundry
TrueFoundry is a San Francisco-based enterprise agentic AI platform that helps Fortune 1000 companies deploy, govern, and scale AI and machine learning applications. Founded in 2021 by former Meta engineers from IIT Kharagpur, it provides an end-to-end MLOps/LLMOps platform covering model deployment, AI gateway, model registry, prompt lifecycle management, and observability - all on the customer's own infrastructure with SOC 2, HIPAA, and GDPR compliance. With $21.3M in total funding led by Intel Capital and Peak XV, TrueFoundry's platform manages 1,000+ clusters, processes 10+ billion monthly API requests, and delivers 40-50% infrastructure cost reductions for customers including Siemens Healthineers, ResMed, NVIDIA, and Automation Anywhere.
Nick Elprin
Nick Elprin is the Co-Founder and CEO of Domino Data Lab, the enterprise MLOps platform trusted by 20% of the Fortune 100. A Harvard computer science graduate who spent seven years as a senior technologist and quantitative researcher at Bridgewater Associates, he co-founded Domino in 2013 to solve the scaling problem he witnessed firsthand: companies could start data science projects but couldn't industrialize them. Under his leadership, Domino has raised $226+ million, been named a Gartner Magic Quadrant Visionary, and become the infrastructure layer for AI in regulated industries including pharma, financial services, and defense. Elprin is also a decade-long meditation practitioner and a vocal advocate for the irreplaceable role of human intelligence in data science.
Nikunj Bajaj
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.