Embed
Engineers and a product designer sit with the people who run the process, on your systems and your data. We learn how the work actually happens, not how the manual says it does.
Forward deployed engineering for regulated operations
Our engineers sit inside your operation, write the contract for one process, and take it live on CortexOS in weeks. Then the next one.
How it works
Not a transformation programme. A named team, one outcome, real data, and a written contract before anything runs.
Engineers and a product designer sit with the people who run the process, on your systems and your data. We learn how the work actually happens, not how the manual says it does.
A written description of the process: what must be achieved, which steps are fixed, where a person must decide, and what proves it is done. Agreed before anything runs.
The process goes live on CortexOS, over the systems you already operate. Current-process baselines are captured first, so the change is measured from day zero.
Agents start by assisting. They act alone only once their recommendations match your people's decisions, scored on evidence. The ladder is below.
The record of what happened, who decided and on what, produced by the work itself. An auditor replays it from a tamper-evident ledger. Nothing assembled afterwards.
Each drop review reads the evidence with you and decides the next process. New ones reuse the same governed trunk. Your team is trained to run it; the system is yours.
Trust
The way every organisation already extends trust to a new member of staff. The safety story and the adoption story are the same story.
The agent prepares the case and the evidence. A person decides everything.
The agent proposes the decision. Agreement with your people is scored.
The agent acts; high-risk moments pause for approval. The gate cannot be bypassed.
Within the posture you set, with every action checked before it runs and logged after.
The platform underneath
The governed operating system for agentic AI. It sits over the systems you already run, self-hosted inside your perimeter. It orchestrates models rather than hosting them, so your data and inference stay yours.
Agent teams, governance, memory, models and channels, run as one service. No agents to wire, no pipelines to assemble.
A risk posture set once and enforced on every action. The 22-stage gate checks before any tool runs. First reject wins.
A live decision trace as it happens, and a hash-chained audit ledger after. Nothing in the dark.
Data residency: in country, sovereign cloud, or inside your own perimeter. Model agnostic across the leading providers, so the choice stays commercial.
Where it has run
A proof of concept delivered on CortexOS: rapid campaign deployment, autonomous sales follow-through, and personalisation across the merchant portfolio. Next stage under negotiation.
AI at petabyte scale inside a restricted national infrastructure environment. We embedded into the platform engineering function and delivered a governance-first architecture. Every change tracked and evidenced.
Insights were fragmented across surveys, spreadsheets and regional sources. We designed the platform and delivered the first phase. Disconnected reporting became a single decision intelligence layer.
Safeguarding assessments took 10 to 35 minutes each. AI-guided assessments with a person in the loop on every decision, explainable outputs and complete audit trails. Every decision defensible on inspection.
Next step