About
Our goal is simple:
we want to be the tool that allows your team to do more with less
Today’s data teams are being asked to do more than ever. Support AI initiatives, maintain reliability, control costs, govern data, and enable the business, all while operating with lean teams and increasingly complex infrastructure.
At the same time, AI is reshaping how data work gets done. But without the right context, agents and copilots fall apart across real production environments.
That’s why we built Sidecar.
Sidecar is the context layer for the data team. We unify metadata, operational signals, lineage, and business context into a system that helps teams automate operational work and power more accurate AI workflows across the stack.
We’ve spent our careers building in data and AI. We believe data teams need tooling that understands how their platforms actually work and helps small teams operate like much larger ones.
Meet the team behind Sidecar
Sidecar Data
Helping lean data teams operate like much larger ones
Cofounder, CEO
We built Sidecar after years of watching small data teams get buried in operational work. As AI reshapes the industry, we believe context will become the foundation for how modern data teams build, operate, and scale.
