Solutions
Start from the thing you are trying to do
Nine engagements. Each one is a named piece of work with a shape, a first step and something at the end of it that is yours.
Ship something new
There is a thing you want that does not exist yet.
Build an agentic software factory
We install the factory, run it beside your team, and hand it over with the runbooks. Your cluster, your data, open source underneath.
Launch a product in a regulated vertical
Build the application on a kernel that already knows about policy, approvals and evidence, so the compliance work is architecture rather than a phase at the end.
Take the AI demo to production
The model is not the hard part. We build the durability, the permissions and the evaluation around it, and put the thing in front of real users.
Fix the foundation
Something you already run is holding everything else up.
Move off the warehouse without a Friday night
Snowflake, Synapse, Teradata or SQL Server onto Databricks, in validated waves, with a cutover that has a tested way back.
Make the estate answer for itself
Grants that hold, lineage that survives a refactor, and an evaluation suite that says whether the thing got better. So the audit is a query.
Modernise the estate that outgrew itself
The systems that got you here are now the reason things take a quarter. We take them apart in an order that keeps the business running.
Build to compound
The work should leave you stronger than it found you.
Keep people in charge of the agents you already run
You have several agents working. We give you the console, the approvals and the ledger, so somebody can answer what they did and who allowed it.
Leave your team able to do it without us
Our engineers work inside your team, on your priorities, in your repository. The handover is the point rather than the ending.
See what production is doing, and be allowed to act
Signals, severity from policy, and the authority to intervene. So the person who notices is the person who can fix it.