Records pull from many sources with no shared IDs for people, vehicles, or locations.
Solution
Connected every source into one records model with entity resolution across it.
Outcome
Investigators use AI agents over every record to solve crime faster and keep communities safer.
Frequently asked questions
What do you actually do?
We're a forward deployed team of data engineers. We embed with your team and build the infrastructure your AI systems run on. Pipelines, platforms, evaluation, the unglamorous plumbing that decides whether anything you ship actually works at scale. Everything custom, sized to your stack and your data.
What does forward deployed mean in practice?
The engineers who scope the work are the ones writing the code and sitting in your Slack. No account managers, no handoffs, no translation layer between you and the build. We work alongside your team day to day, on your problems, in your stack. The job isn't to blend in quietly. It's to move your systems forward, raise the bar your stack operates at, and leave your team building at a level higher than when we showed up.
What if our data is a mess?
That's usually the starting point. Schemas drifting across systems, pipelines no one fully understands, lineage that lives in one engineer's head. We've seen most of it before. We come in, figure out what's actually load bearing, and build the foundation your AI systems can run on. If the data were already clean you probably wouldn't need us.
What kinds of problems are you best at?
The hard ones. Data fragmented across a dozen systems. Pipelines that buckle the moment you ask them to support inference or evaluation. Retrieval that has to be right, not just fast. Observability that actually catches failures in production. The work where just using a vendor stopped being a real answer somewhere around your current scale.
Who's on the team?
Senior data, infrastructure, and AI engineers. The people who scope your build are the people who write the code and answer your Slack. That continuity is the only way to solve hard data problems well, and it's why we don't subcontract, don't hand off to juniors, and don't offshore. Senior end to end, every engagement.
Where does the code live, and what if we already have a data team?
In your repos, on your accounts, built on open standards. We don't build on a Galaxy platform and we don't lock anything in, because your team needs to own the infrastructure AI runs on. Most of our customers already have a data team. We embed with them on the problems they don't have the time or specialty for, transfer ownership as we go, and leave them stronger. The goal is to make your team better at the work, not dependent on us to do it.
