A group of former Meta engineers is building a platform to help organizations quickly deploy machine learning models for major tech companies. start them up, TrueFoundryIt has raised $2.3 million in a financing round.
The San Francisco, California-based startup is automating repetitive tasks in its machine learning pipeline to allow data scientists and engineers to focus on higher-value, more creative tasks. The custom platform, built on Kubernetes, acts as a non-cloud solution that can be deployed on Amazon Web Services (AWS), Google Cloud and Microsoft Azure.
TrueFoundry says it helps machine learning teams get results 10 times faster and cuts production timelines from “several weeks to a few hours.” This is especially useful for companies that do not have a large machine learning team.
Unlike the traditional method that requires a significant amount of time, TrueFoundry says that machine learning developers using its platform can put their models into production as hosted endpoints along with automatic scaling in less than five minutes and monitor results from scratch.
Nikunj Bajaj, co-founder and CEO of TrueFoundry, said in an interview with TechCrunch that some key information from Meta helped the startup solve machine learning deployment issues. Bajaj worked as an ML Tech Leader at Meta and San Mateo-based software development firm Reflektion after completing a master’s degree in computer science from the University of California, Berkeley.
He founded TrueFoundry in June 2021, along with fellow IIT Kharagpur, Anuraag Gutgutia and Abhishek Choudhary. Choudary, who is the chief technology officer of TrueFoundry, also worked at Meta as a software engineer and helped the social networking giant develop products including mobile apps and live video.
TrueFoundry considers Amazon, Google, and Microsoft Azure to be some of its main competitors because they also have their own native machine learning platforms. However, Gutgutia believes that large cloud players are not very friendly with developers.
“Our goal from day one is to provide a top developer experience. The learning curve to get started with our system is no more than one hour.”
TrueFoundry serves clients with small teams of data scientists and works in sectors such as fintech, e-commerce, financial services, healthcare, and retail, among others.
Before venturing into TrueFoundry, Bajaj, Choudhary and Gutgutia co-founded AI-based recruitment platform EntHire, which Info Edge acquired last year.
TrueFoundry, which currently has 16 employees and is located mostly in India, said Tuesday it has raised $2.3 million in a round led by Sequoia India’s Surge. Other co-funders include Eniac Ventures and angels such as AngelList co-founder Naval Ravikant, CIO of Deutsche Bank Dilip Khandelwal, President of GitHub India Manish Sharma, CTO of Greenhouse Software Mike Buford and Kaggle founder Anthony Goldblum.
The startup, which plans to deploy new money to expand its platform and hire more individuals, recently opened early access to its platform and is working with companies as early customers for its beta. Gotgotia said he aims for a public launch within the next month or two.
It is also looking for onboard consultants who can help promote the platform and expand its reach.