So how would it live in a language model? The knowledge that decides whether a deployment works has been in someone's hands for fifteen or twenty years. It isn't written down anywhere you can point a retrieval pipeline at. The only way to get it is to go sit with the person who has it.
The last twenty-five months of confident proselytizing from tech CEOs implied that expertise like this is easy to replicate. It isn't. Watching someone do a job they've done for two decades is worth more than any amount of requirements gathering, and it's the part almost nobody budgets for.
Every industry has them, and every job classification has its own version: the person who has run this particular work for fifteen or twenty years and carries the whole thing in their head. Some of who we've sat with, and who we expect to:
The list doesn't end, and it isn't ours to write. Yours are already on payroll, and the most essential window in a deployment opens while we're sitting next to one of them. That's the part you can't outsource, can't shortcut, and can't buy in a box.
An intense stretch on-site with senior employees, managers, and founders. We watch the work run: its cadence, its battle rhythms, the workarounds nobody documented.
We map the use-cases and applications already latent in the organization. Most of them nobody has articulated yet, and a few of them are the whole reason to do this.
We recommend a short-list we've proven, you pick, we install it. Any hardware, any open-weight model, any data server rack, sized with room to grow.
Complete onboarding, because a deployment that leaves behind a team thinking differently is the one still working a year later.
Everyone doing serious work right now is freely swapping hardware and weights to suit the moment, because the gear turns over every few months and the open models turn over faster. Anybody still selling you a fixed product is protecting their inventory, not solving your problem. A $7,000 laptop runs open-weight models in the frontier weight class now. The substrate stopped being the constraint, and what's left is whether anyone bothered to learn how your organization actually operates.
So we don't have a lineup. We consult, we hand you a short-list we've actually proven, and then we install what you want. That runs from an enterprise floor on H100s and H200s with adjacent data server racks, down to a small business getting real work done on two DGX Sparks and a few M5 laptops. Both are legitimate answers, and which one you end up with falls out of Discovery rather than out of our catalog, because we don't have one.
Already own hardware? We wire the serving stack, set the air-gap configuration, and train your team on gear we didn't sell, because on-premise AI failing in regulated industries helps nobody.
A system shaped around how someone already works gets used. A system that ignores them gets quietly routed around until it's shelfware with a budget line. That's the whole difference, and it gets decided in week one, not at go-live.
What stays behind when we leave: an independent on-site deployment your organization owns outright, the Woven Security & Governance Fabric holding every action to an identity and a receipt, and a team that understands the thing well enough to change it. More on that last part in Education Is the Deployment.
Tell us whose desk the work runs through and what hurts about it. One conversation, no sales pitch, and a straight answer about whether we can help.
Start a Scoping CallOr call directly: 1-341-441-8740