A team of former Meta engineers is building a platform to help businesses deploy machine learning models at the speed of big tech companies. Their start-up, TrueFoundryraised $2.3 million in a funding round.
San Francisco, California-based startup automates repetitive tasks in machine learning workflows to allow data scientists and engineers to focus on higher-value tasks , More creative. Built on Kubernetes, the custom platform acts as an agnostic cloud solution that can be deployed on Amazon Web Services (AWS), Google Cloud, and TensorFlow.
TrueFoundry says it helps machine learning teams get results 10 times faster and cuts their production schedule from “weeks to hours”. This is especially useful for businesses that don’t have large machine learning teams.
Unlike the traditional way that requires large amounts of time, TrueFoundry says machine learning developers using its platform can bring their models to production as a hosted endpoint along with automation. scale in less than five minutes and track results right from the start.
Nikunj Bajaj, co-founder and CEO of TrueFoundry, said in an interview with TechCrunch that some of the key lessons from Meta have helped the startup solve its machine learning implementation problems. Bajaj worked as the ML Engineering Team Leader at Meta and San Mateo-based software development company Reflektion after completing his master’s degree in Computer Science at the University of California, Berkeley.
He founded TrueFoundry in June 2021, with his IIT Kharagpur lotmates Anuraag Gutgutia and Abhishek Choudhary. Choudhary, who serves as CTO at TrueFoundry, also worked at Meta as a software engineer and helped the social media giant develop products including mobile apps and live video.
TrueFoundry considers Amazon, Google, and Microsoft Azure as some of its main competitors because they also have their own machine learning platforms. Gutgutia, however, believes that the big cloud players are not developer-friendly.
“Our goal from day 0 is to provide a great developer experience. The learning time to get started on our system is no more than an hour,” he said.
TrueFoundry is serving customers with small teams of data scientists and operating in sectors like fintech, e-commerce, financial services, healthcare and retail, etc.
Before venturing into TrueFoundry, Bajaj and Gutgutia co-founded an AI-based recruiting platform EntHire, which was acquired by Info Edge last year.
TrueFoundry, with its current staff of 16 and mainly in India, said on Tuesday that it had raised $2.3 million in a round led by Sequoia India’s Surge. Others involved in funding include Eniac Ventures and angels like AngelList co-founder Naval Ravikant, Deutsche Bank Global CEO Dilip Khandelwal, GitHub India head Maneesh Sharma, Greenhouse software CTO Mike Boufford and Kaggle founder Anthony Goldbloom.
The startup, which plans to roll out new funds to expand its platform and hire more individuals, recently opened early access to its platform and is working with companies as an investor. how to be the original customer for beta release. Gutgutia said it aims to go public within the next month or two.
It is also looking for integration advisors who can help promote the platform and expand its reach.