The future is intelligent. Products and experiences in our near future—from image-recognition software that helps diagnose cancer to voice-assistants that let us operate devices hands-free—rely on artificial intelligence and machine learning models to function.
In this intelligent future, models are the new code. But while the tools to develop production-ready code are mature, scalable, and robust, the tools and processes to develop ML models are new and brittle. Between the difficulty of managing model versions, rewriting research models for production, and streamlining data ingest, the development and deployment of production-ready models is a frustrating struggle for small and large companies alike.
At Verta, we are building software for data science teams to manage this intelligent world. We started by addressing the problem of model management — how to track, version, and audit models used across products. We built upon our research at MIT CSAIL on ModelDB, an open-source model management system deployed at multiple Fortune 500 companies, to create the Verta MLOps software ecosystem.
Verta MLOps software supports model development, deployment, operations, monitoring, and collaboration enabling data scientists to manage models across their lifecycle.
If the mission to enable businesses to create intelligent experiences inspires you, join us.