The control your regulator expects.
ZeroTwo Labs builds sovereign AI agents around the systems you already use. Frontier-grade capability, running inside your perimeter — with security, governance, and traceability built into the architecture rather than promised in a policy document.
Send sensitive client data to a public AI platform and you get real capability — with no control over where it goes, who trained on it, or what you can show an auditor. Lock everything down instead, and you get control over a system nobody wants to use. Both options leave value on the table.
We don't ask you to trade capability for compliance, and we don't ask you to replace your CRM. The agents work around the systems you already operate.
The cost of running it is the cost of the infrastructure it runs on — known in advance, and the same next quarter.
One line in the budget
Infrastructure plus our engagement. Nothing that moves with volume.
Forecast it a year out
No surprise invoice because a team found a use case that works.
Adoption isn't a cost risk
Nobody has to ration prompts or justify a query to finance.
Your cloud, your region, or your own hardware. The data never crosses a boundary you haven't approved.
Nothing you process is retained by a vendor or used to improve anyone else's model. Contractually and architecturally.
Agents inherit the access rules your staff already work under. Nobody sees more through an agent than they would directly.
Each output links back to the records behind it, so it can be checked, challenged, and defended.
Who asked what, which data was touched, and what came back — retained on your schedule, exportable on demand.
Agents propose; your people approve. Actions that touch a client or a ledger require a named sign-off.
Which clients look most likely to leave this quarter?
Reads activity, service history, and renewal dates together.
Summarise this client's last two years before my 3pm.
Turns the whole relationship into a one-page brief.
Flag anything in this book that a reviewer would question.
Checks records against your own policy, not a generic template.
What did we commit to this client, and did we deliver it?
Traces promises back to the notes and documents that made them.
Where are we leaving money on the table across the book?
Compares holdings against comparable client profiles.
Draft the follow-up, in our tone, with the right numbers.
Written from the record — checkable line by line.
Every one of these runs inside your perimeter, under your permissions, with a citation trail back to the record it came from.
We start where the risk is, not where the demo is. One session on your systems, your obligations, and the use cases already queued up.
We deploy the highest-value use case inside your perimeter, with the governance and audit trail live from day one.
We stay on to run, evaluate, and extend it as the models improve and the business grows.
Thirty minutes with a founder. We'll tell you what a sovereign version of it looks like, what it costs, and where the honest limits are.