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!

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!