The reason custom AI usually fails is process — not models. We borrow the embedded delivery model that works in defense and high-stakes industry, strip out the on-site theatre, and ship.
We sit with the people doing the work — sales, ops, finance, support — and build a precise model of how decisions actually get made today. Not the wiki version. The real one.
Where is judgment repeated? Where do humans copy data between five systems? Where do good decisions wait on slow ones? Those are where AI earns its keep.
We wire models into your CRM, your warehouse, your ticketing system, your SharePoint. The AI sees what your team sees — and writes back where it should.
First working version live in 4–6 weeks, not 9 months. Real users, real workflows, measurable lift. Iterate from there.
You can take ownership of the code and models on day 1. Or we keep operating it for you. Either way, no lock-in, no surprise renewals.
These are the patterns that show up across customers. Yours will look different in the details — but the shape rhymes.
The reason embedded delivery wins is depth — engineers who actually understand the customer's operations. The reason it stays expensive is logistics: hotels, flights, badge access, week-long travel cycles. We kept the depth. We dropped the travel.
Pick the one that matches the risk you're comfortable taking. Most teams start with Discovery and graduate from there.
The depth of an embedded model comes from access to your people, data, and tools — not from being in the same building. Modern collaboration tools make that access trivial. Travel adds cost and slows the work down without making it better.
We ship working software, not slide decks. Engagements end with code, models, and live workflows in your environment — not a recommendation. We're also fixed-scope by default, so a Discovery is $25k whether it takes ten days or fifteen.
Yours. From day one. Code, prompts, models, fine-tunes, data pipelines — all written to your repos, your accounts, your environment. We don't put your workflows behind a proprietary platform you can't leave.
Engagements run inside your perimeter — your cloud, your VPN, your SSO. We sign your MSA, your DPA, and your security questionnaire. For regulated workflows (healthcare, finance, public sector), we'll build to the framework you already operate in.
Neither. We work the way good contractors do — under your tech leadership, alongside whoever's already there. If we're still here a year in, it's because the work compounds, not because there's lock-in.