Most clients arrive in one of three situations. Find yours — each has a different first step, and a different thing it's worth to you.
"I'm responsible for it now, but I don't know what's in it or whether it's safe."
We start with an independent audit — code, infrastructure, and the vendors you rely on — then stabilize what's fragile before anything else is touched.
"We tried an LLM demo. It impressed everyone, then fell over in production."
We build AI-native apps and wire LLMs into your workflows — grounded, evaluated, guard-railed, human-reviewed — so what ships is something you can stand behind.
"Leadership and regulators want to know it's safe. 'Trust the model' won't fly."
Our glass-box discipline is built for scrutiny: documented approvals, controlled access, traceable delivery, and an evidence trail attached to every change.
Six advantages that map straight to what matters — reliable, robust, transparent, and continuously delivered. Each one is something we show, not just say.
Most AI is a black box. Every pipeline we ship carries its evidence — groundedness, eval scores, guardrail status, and the human-review trail — visible to you, always.
From the Linux server to the LLM. Your AI is reliable because every layer beneath it is ours to keep reliable too — there is no seam we hand off and hope holds.
Vendor-neutral assurance. We audit and verify your systems — including the third parties you already rely on. No conflicts, no lock-in.
Grounded, evaluated, guard-railed, human-reviewed. Eval thresholds gate every release — nothing reaches users on hope.
Ship multiple times a week behind eval gates, with instant rollback. Improvement is constant; surprises aren't.
Documented approvals, controlled access, structured handover. The docs, credentials, and code are yours to hold — by design.
So we own the whole stack. AI-native is the spearhead; every other service is a foundation layer that makes the AI production-grade. One product line, ordered top to bottom — reliability flows up.
LLM features to production — grounded, evaluated, guard-railed, human-reviewed.
LLMs embedded into existing workflows with audit trails and human-in-the-loop.
Secure auth and data mapping so your systems can talk to the model.
Fast, reliable queries and backups — the data layer AI depends on.
Legacy PHP/JS modernized into a clean, AI-ready codebase.
Patched, tuned Linux servers the whole stack runs on.
Independent audit of code, infra, and vendors. Verify, don't trust.
Get the inherited system under control. Independent audit, patched servers, no surprises.
Layer 03Refactor legacy code, tidy the data, wire the APIs — make the system AI-ready.
Layer 02Ship grounded, evaluated, guard-railed AI features and workflows into production.
Layer 01Continuous delivery, live evals, and monitoring keep it reliable as it grows.
All layersIndependent, vendor-neutral, and we show our work — the same discipline applied from the boardroom to the server.
Most AI is a black box. We build the kind you can put in production — grounded, evaluated, guard-railed, human-reviewed — and ship every pipeline with its evidence attached. Glass box, not black box.
It's the same discipline we apply everywhere: documented approvals, controlled access, and traceable delivery. The goal is never to dazzle you with output — it's to show you the controls behind it.
Nothing changes without a written, agreed scope. Every decision is on record.
Least-privilege by default. Access is granted, logged, and revoked deliberately.
Every change is attributable — what shipped, when, by whom, and why.
You keep the documentation, credentials, and control. No lock-in by design.
A small, independent team of senior engineers. The same people who scope your audit do the work and hand it over — organized around the three layers of our stack.
Grounding, evaluation, guardrails, and human review for production AI.
APIs, databases, and legacy modernization — the AI-ready substrate.
Infrastructure and independent security audit. Vendor-neutral.
Production AI — grounding, evals, and the kind of systems that ship with their evidence attached.
APIs, data, and legacy modernization — the substrate that makes AI production-ready.
Infrastructure, security audits, and independent vendor review.
No bait-and-switch. The senior who scopes it delivers it.
We audit third parties without conflict — including ones you already use.
Documentation, credentials, and code stay yours. No lock-in by design.
A few representative engagements across the three layers. Numbers are the kind we report — real results will replace these placeholders.
A grounded LLM workflow with human review in the loop — shipped to production with its evidence attached.
Legacy PHP/JS refactored into a clean, AI-ready codebase, with the data tidied behind it.
Inherited code, infrastructure, and vendors audited and stabilized before any new build began.
A client testimonial will appear here — the best ones name the fear we removed, not the technology we used.
You don't have to commit to a rebuild to work with us. Start with a fixed-scope audit — we look, we report, you decide. No access is granted until the scope is in writing.
A senior engineer reviews your code, infrastructure, and the vendors you depend on — then hands you a plain-language report of what's solid, what's risky, and what to do first. Credited toward any build you decide to do with us.
The honest answers to what teams worry about before letting anyone near their systems.
Start with an independent audit. No access is granted until the scope is documented — you stay in control from the first email. Tell us where you are and we'll reply within one business day.