Datastreak.AI

After working side by side with data engineering teams on cloud migration programs, we kept seeing the same story. The data moved fine, but everything around it: the logic, the scripts, the old jobs, turned into the real mess. Engineers were stuck decoding years of legacy code, validating reports no one trusted, and rewriting workloads with little to no documentation. That’s why we built Datastreak. It’s a practical AI platform that helps engineers assess legacy systems, rebuild pipelines, and validate everything as they go. It understands how dependencies are connected, how business logic flows, and why migrations often stall in the final stretch, not because of the data, but because of everything surrounding it. One of our earliest rollouts was with a global payments leader decommissioning its Hadoop-based infrastructure. The team needed to migrate over 6,500 production jobs with minimal business disruption. Using Datastreak, they accelerated assessment, auto-rewrote critical workloads, and generated validation logic in days instead of weeks. The result? Zero critical job failures during cutover and a migration that went live ahead of schedule. Across other programs, Datastreak has helped teams: - Speed up pipeline development by up to 3x - Improve engineering productivity by 40–50% - Cut migration costs by nearly 40% We’ve sat in the rooms where migrations dragged for months, where dashboards failed during cutover, and where no one had answers. Datastreak is built for those moments and for the engineers who carry the weight of making it all work. We’re proud of what we’ve built and we’d love for you to try it.