TrueFoundry raises $2.3 million seed fund led by Sequoia India and Surge
US-based machine learning startup TrueFoundry said it has raised $2.3 million seed fund led by Sequoia India and Southeast Asia's Surge. Angel List cofounder Naval Ravikant and Eniac Ventures also participated in the funding round. The startups said that the money will be invested in hiring tech talent and also in product development.
Founded in 2021 by former Meta executives Abhishek Choudhary and Nikunj Bajaj, and angel investor Anuraag Gutgutia, TrueFoundry provides tools for startups and small businesses to deploy and monitor machine learning models at the speed of big tech companies like Alphabet and Meta.
The company said that for small businesses developing such machine learning models on their own would take significant time, money, and effort. TrueFoundry's product can be deployed in five minutes by machine learning developers of small businesses and startups, making them 10x faster. This will help the machine learning engineers to focus more on higher value and more creative tasks, the company said.
TrueFoundry said that its tools are platform agnostics and can be easily integrated with servers like Amazon Web Services (AWS), Google Cloud, Tensorflow, and Kubernetes.
"With our automated platform, data scientists and engineers are able to deploy machine learning models at the speed and maturity of big tech, cutting their production timelines from several weeks to a few hours," Bajaj, who also happens to be the CEO TrueFoundry. "Data is the new oil, and we want to enable companies to use machine learning faster and generate greater business value."
The startup's other angel investors include Deutsche Bank Global CIO Dilip Khandelwal, Head of GitHub India Maneesh Sharma, Greenhouse Software CTO Mike Boufford and Kaggle Founder Anthony Goldbloom.
Founded in 2021 by former Meta executives Abhishek Choudhary and Nikunj Bajaj, and angel investor Anuraag Gutgutia, TrueFoundry provides tools for startups and small businesses to deploy and monitor machine learning models at the speed of big tech companies like Alphabet and Meta.
The company said that for small businesses developing such machine learning models on their own would take significant time, money, and effort. TrueFoundry's product can be deployed in five minutes by machine learning developers of small businesses and startups, making them 10x faster. This will help the machine learning engineers to focus more on higher value and more creative tasks, the company said.
TrueFoundry said that its tools are platform agnostics and can be easily integrated with servers like Amazon Web Services (AWS), Google Cloud, Tensorflow, and Kubernetes.
"With our automated platform, data scientists and engineers are able to deploy machine learning models at the speed and maturity of big tech, cutting their production timelines from several weeks to a few hours," Bajaj, who also happens to be the CEO TrueFoundry. "Data is the new oil, and we want to enable companies to use machine learning faster and generate greater business value."
The startup's other angel investors include Deutsche Bank Global CIO Dilip Khandelwal, Head of GitHub India Maneesh Sharma, Greenhouse Software CTO Mike Boufford and Kaggle Founder Anthony Goldbloom.