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TrueFoundry raises $2.3 million from Sequoia India’s Surge and others

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  • The US-based machine learning developer platform will use the investment to expand its specialized technology team and product development.
  • The round saw the participation of Eniac Ventures and AngelList co-founder Naval Ravikant, among others.
  • The platform aims to automate repetitive tasks in the ML pipeline.

Machine learning developer platform TrueFoundry today raised $2.3 million in seed funding. The investment round was led by: Sequoia India and the Southeast Asia Surge Program.

Eniac Ventures and prominent angels such as AngelList co-founder Naval Ravikant were other participants in the round. Other angel investors include Deutsche Bank Global’s CIO Dilip Khandelwal; head of GitHub India Maneesh Sharma; Greenhouse Software’s CTO Mike Boufford and Kaggle founder Anthony Goldbloom.

TrueFoundry will use the investment to expand its specialized technology team and product development.

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“Data is the new oil and we want to enable companies to use machine learning faster and generate more business value. Our investors and team share the belief that TrueFoundry is paving the way for innovation that moves companies forward for the future, and their participation in our pre-launch funding is a great testament to that.” Nikunj Bajajco-founder and CEO of TrueFoundry.

The platform aims to automate repetitive tasks in the ML pipeline, such as infrastructure and deployments, so data scientists and ML engineers can focus on more valuable, creative tasks. This allows companies to continuously upgrade existing models and release new models to gain a competitive advantage.

TrueFoundry, headquartered in the US, was founded in June 2021 by Abhishek Choudhary, Anuraag Gutgutia and Nikunj Bajaj — all experienced software and ML engineers. They also built and scaled major engineering systems to drive product excellence at Facebook in their earlier period.

Machine learning offers huge opportunities for businesses, but developing and launching ML models is a time-consuming and complex process for software engineers, ML engineers, and data scientists.

“TrueFoundry was born from the idea that no company – big or small – should miss out on the opportunities of machine learning. Our automated platform enables data scientists and engineers to implement machine learning models with the speed and maturity of big tech, reducing their production timelines from a few weeks to a few hours,” added Bajaj.

From Amazon Web Services (AWS), Google Cloud and Tensorflow to Kubernetes, the TrueFoundry platform is agnostic and helps integrate with the existing stack for seamless deployment.

The startup claims ML developers with its platform will take less than five minutes to get models into production – as hosted endpoints along with autoscaling and monitoring dashboards are automatically available from the get-go.

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