Your data has the answers. Our engineers come in and put them to work.

In the data science world, AI is just another tool — but a very powerful one. We've learned through experience how to leverage it to solve complex data problems, and it's reshaped what's possible in ways the old toolkit couldn't. But it isn't the only tool we depend on. Plenty of problems are still better solved with classical statistics, well-built pipelines, or a sharp SQL query — and we know when to reach for which. Being AI-native means we don't bolt AI on as a separate workstream; we treat it as part of the kit, and pick the right tool for the job.

Two things. First, we're hands-on — we sit alongside your team, write code in your repo, and ship things, rather than delivering a slide deck. Second, we've actually built data products end-to-end, so the work product is something that runs in production, not a recommendation for someone else to build.

A short discovery period to map your data and your goals, then an embedded build phase where we work alongside your team — pairing, shipping, and transferring knowledge. We end with a hand-off so the systems we build keep running and your team can extend them.

No. Most of our work starts with data that's scattered, undocumented, or partially trapped in someone's head. Piecing the data picture together is a normal part of the engagement — not a prerequisite.

Problems where you have data that should be answering a question and isn't — because it's spread across systems, because no one has had time to dig in, or because the right question hasn't been framed yet. For example, if you're a legal firm sitting on terabytes of discovery documents, depositions, billing records, and matter histories, the answers about patterns across cases, exposure, billing leaks, or candidate matters are usually already in there — they just aren't accessible. We come in and make them accessible.

Yes — that's the point of embedding. We work in your repos, in your stack, with your conventions. We pair with the people who will own the work afterwards, so by the time we hand off, your team has been part of building it.

We work inside your security perimeter — your accounts, your infrastructure, your access controls. We follow your data handling policies and sign whatever paperwork your legal team needs. Nothing is sent to external systems without your sign-off — and even then, we operate under a strong security posture by default. See our data security page for details.

You do. Your data stays yours, and any data we derive from it — models, indexes, cleaned datasets, analytical outputs — is yours too. Bespoke code we write for you during the engagement is yours (i.e. for integrations). The only carve-out is for pre-existing software and tools we bring with us: those remain under their original licenses (ours, or third-party).

Reach out via the form below or email us directly. The first conversation is usually a 30-minute call to understand what you're trying to figure out and whether we're the right fit — no pitch deck, no commitment.