Designed with our team, not bought from a page.
Your AI workforce, engineered for you — custom agents, dedicated team, no ceiling. There's no checkout — we scope it with you, because at this size the useful conversation is about your operation, not our feature list.
Everything in Business, plus the parts that only make sense built for you.
- Everything in Business — plus a dedicated buildout
- Custom agents designed around your operation
- Dedicated cloud compute — 200 hrs/mo, 4-hour runs, 20 at once
- Your data, connectors & workflows wired by us
- Direct line to the team + white-glove onboarding
- Quarterly operating reviews on your numbers
- Scales with usage — no per-seat ceiling
Every action the agents take is provable.
Each one is recorded as a signed, hash-chained receipt your auditors can verify without trusting our database — including who authorised it and whether the agent stayed inside the authority it was given. Actions that can't be undone say so, rather than offering an undo button that doesn't work.
How this actually gets into production.
Written to survive a security review rather than to sound impressive — every claim below is something you can hold us to.
- / 01Isolation the database enforces, not the application
Every tenant-scoped table has row-level security enabled AND forced, with policies keyed on the session's tenant. The application never adds a tenant filter to those reads — scoping is the database's job, so a missing WHERE clause in new code cannot leak another customer's data. Model traffic fails over automatically across seven inference providers, so one vendor being down or out of credit is a routing event rather than an outage.
- / 02You choose how much we build
We build it end to end with you co-owning the design and sign-off, or your engineers lead on the public API, typed SDK, and MCP server with our team on call. Both routes end with the same thing: agents running against your real systems, inside limits your team set.
- / 03A sequence, with sign-off at each step
Discovery and solution design, implementation, testing against your own scenarios, then go-live — each stage signed off by both teams before the next begins. Agents can run in shadow mode first, proposing actions and recording what they would have done without touching anything, so the first real action is not the first time you see its judgement.
- / 04What carries to the next deployment
Go-live includes a care period with the team that built it still on call. After that, every guardrail, approval rule, and evaluation written for one deployment is available to the next — a new region or business unit starts from everything already learned rather than from a blank workspace.