Web Analytics

3 Latest Announced Rounds

  • $3,500,000
    Seed

    1 Investors

    Technology, Information and Internet
    Dec 20th, 2024
  • $5,619,170
    Series B

    1 Investors

    Research Services
    Dec 20th, 2024
  • $8,000,000
    Unknown

    5 Investors

    Computer & Network Security
    Dec 20th, 2024
$671.88M Raised in 44 Funding Rounds in the past 7 Days - View All

Funding Round Profile

TrueFoundry

start up
United States - San Francisco, California
  • 20/09/2022
  • Unknown
  • $2,300,000

Founded by alumni from IIT Kharagpur, UC Berkeley, and ex-FaceBook Engineers and funded by top global Investors. TrueFoundry is the US and India-based start-up disrupting the space of developer productivity, starting initially with productivity for data science teams.
90% of ML Models don’t end up in Production! It takes most companies anywhere from 2-3 months for those that do. Compare this to the 15 minutes it takes teams on Facebook to deploy a model. Half of these models deployed by most companies break because of scaling issues. A good % of the remaining is discarded due to issues that can’t be detected because of the absence of the right monitoring and Observability Systems!
At TrueFoundry, we want to automate the parts in the ML pipeline that can be automated and empower Data Scientists and ML Engineers to be able to test models in production and iterate fast with as few dependencies on other teams as possible. We draw our motivation from products created by Platform teams in top tech companies like Facebook, Google, and Netflix, which allow all teams to move much faster and deploy and iterate on their own!
Our Workflow stores provide a structure to Data Scientist's code, makes it production ready and deploys model APIs with auto scaling enabled, monitoring and observability dashboards, business user facing demos - automatically.
Basically, you can go from Model to Live in 15 minutes with the best Practices!


Related People

Nikunj BajajCo Founder

Nikunj Bajaj United States - Berkeley, California

I am interested in using machine learning, data science and analytical skills to provide solutions- to problems people face or problems that never seemed to be (i.e. by making lives comfortable in ways no one knew existed).

Technology and impact are two pillars that drives me to work. Being aware of my surroundings, openness to learn from people and situations, a lot of reading and a lot of discussions is how I love progressing.

I have a background in machine learning, data science, theoretical computer aided design, robotics and computer vision.

This is a stage in my career when I am taking conscious, calculated steps towards my medium term goal- making an impact in the world through the touch of entrepreneurship.