A group of former meta engineers is building a platform to help organizations deploy machine learning models at the speed of big tech companies. Their startup, TrueFoundry, raised $2.3 million in a funding round.
The San Francisco, Calif.-headquartered startup automates repetitive tasks in a machine learning pipeline so data scientists and engineers can focus on higher-value, more creative tasks. Built on Kubernetes, the custom platform serves as a cloud-agnostic solution that can run on Amazon Web Services (AWS), Google Cloud, and TensorFlow.
TrueFoundry says machine learning helps teams achieve results 10x faster and shortens their production timelines from “several weeks to a few hours.” This is especially helpful for businesses that don’t have large machine learning teams.
TrueFoundry says machine learning developers can use its platform to generate their models in less than five minutes with auto-scaling as well as hosted endpoints and monitor the results from the start, unlike the time-consuming traditional method.
Nikunj Bajaj, co-founder and CEO of TrueFoundry, told Technology Flow in an interview that some key learnings from Meta have helped the startup solve machine learning deployment problems. Bajaj worked as an ML tech lead at Meta and San Mateo-based software development company Reflection after completing a master’s degree in computer science from the University of California, Berkeley.
He co-founded TrueFoundry in June 2021 with his IIT Kharagpur batchmates Anurag Gutgutia and Abhishek Chaudhary. Chaudhary, who serves as CTO at TrueFoundry, also worked as a software engineer at Meta and helped the social networking giant develop products including mobile apps and live video.
TrueFoundry considers Amazon, Google and Microsoft Azure as some of its main competitors as they have their own native machine learning platforms. However, Gutgutia believes that the big cloud players are not very developer friendly.
“Our mission from Day Zero has been to deliver the highest developer experience. The learning curve to get started on our system is no more than an hour,” he said.
TrueFoundry serves customers with small teams of data scientists and operates in sectors such as fintech, e-commerce, financial services, healthcare and retail.
Before venturing TrueFoundry, Bajaj and Gutgutia co-founded AI-based recruitment platform EntHire, which was acquired by InfoEdge last year.
TrueFoundry, which has a current headcount of 16 and is mostly based in India, on Tuesday said it raised $2.3 million in a round led by Sequoia India’s Surge. Angels like Eniac Ventures and AngelList co-founder Naval Ravikant, Deutsche Bank Global CIO Dilip Khandelwal, GitHub India Head Manish Sharma, Greenhouse Software CTO Mike Bouford and Cagle founder Anthony Goldblum participated in the funding.
The startup, which plans to use the fresh funding to expand its platform and hire more people, recently opened early access to its platform and is working with companies as early customers for its beta release. It aims to open publicly in the next month or two, Gutgutia said.
It is also looking for onboard advisors to help promote the platform and expand its reach.