We
provide End-to-End ML as service from development to deployment at
Scale, accelerating the production process. No more need for a dedicated
cloud team to maintain cloud infrastructure, or standby engineers for
addressing model failures.
Transform an idea or a prototype to a scalable Machine Learning solution. Build data processing pipelines that address your data needs.
Evaluate, Prune and Optimize the trained model to improve its efficiency at Inference.
A complete ML Life cycle process to deploy the solution at scale. Optimize cloud infrastructure, build APIs, balance user query loads.
24/7 support to instantly identify and address model and infrastructure related failures, to minimize production and related opportunity costs.
All data drift over time. Continual Learning framework that periodically learns from identified challenging data points.