Case Study: Deepomatic achieves 12x faster feature development with Redpanda Data

How a computer vision software startup accelerated development 12X to meet enterprise demands

Deepomatic, an AI-powered computer vision platform for enterprise field operations, needed to move beyond a rigid monolithic architecture and complex APIs that slowed new development and made data harder to access. To support its scale in telecommunications, utilities, and green energy, the company turned to Redpanda Data’s Redpanda Cloud to help transition toward microservices and improve scalability.

With Redpanda Data, Deepomatic simplified its streaming architecture, separated front/read APIs from operational services, and gave teams easier access to data for building new features. The results were significant: feature development sped up 12x, custom feature delivery dropped from six months to two weeks, 95% of customers now use data streams, and the company reported zero data loss incidents.

Deepomatic

Juliette Tisseyre

VP of Engineering