Try out our Alpha Release for your ML Experimentation and Monitoring needs!

Our mission is to make Machine Learning productionisation and monitoring simpler for anyone!

Developers (SEs, ML Engineers, DSs) should just focus on writing the business logic at very high iteration speeds and everything else should be abstracted out from them!

About Us

90% of ML Models don’t end up in Production! For the ones that do, it takes most companies anywhere from 2-3 months. Compare this to 15 minutes it takes teams in FaceBook to deploy a model. Half of these models deployed by most companies break because of scaling issues. A good % of the remaining is discarded due to issues that can’t be detected because of absence of right monitoring and Observability Systems!

At TrueFoundry, we want to automate the parts in the ML pipeline that can be automated and empower Data Scientists and ML Engineers to be able to test models in production and iterate fast with as few dependencies on other teams as possible. We draw our motivation from products created by Platform teams in top tech companies like Facebook, Google, Netflix etc that allow all teams to move much faster and deploy and iterate on their own!

Our Workflow stores provide a structure to Data Scientist's code, makes it production ready and deploys model APIs with auto scaling enabled, monitoring and observability dashboards, business user facing demos - automatically.

Basically, you can go from Model to Live in 15 minutes with the best Practices!

Our Vision

Imagine a flow where after writing the code — you can call a genie and tell about your requirements like kind of service (Serverless, CronJob, Database, an API service), resource requirements like CPU, memory, etc and the genie creates the service with the best practices like Gitops, Infrastructure as Code (IAC) and then shows a dashboard with all the metrics created.

First Principles Thinking

Join us to Solve the unique challenge ML Teams face using First Principles

Extreme Ownership

If we take up a challenge, we will own it till the end and complete it. We expect the same from team members

Customer Empathy

We believe we learn the best from customers by being empathetic towards them

No Question is wrong

We encourage teammates to ask any questions. Questions that seem stupid at first make all the difference

Meet the Founding Team

Built by Founders based on their experience at Top Tech companies

Nikunj Bajaj

Recent — Lead ML Engineer @ FaceBook

Abhishek Choudhary

Recent — Senior Staff Software Engineer @FaceBook

Anuraag Gutgutia

Recent — CEOOffice and VP Portfolio Management, WorldQuant

Backed & Supported By

Naval Ravikant

Co-founder AngelList, Investor in Uber/Twitter etc

Anthony GoldBloom

Founder at

Maneesh Sharma

Head of GitHub India

Dilip Khandelwal

CEO Deutsche India, Global CIO Deutsche Bank


Work with us to build the next generation of Machine Learning tools!

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