Join the early access cohort.
We're working with a small group of pilot customers. Hands-on setup, direct access to the team, and pricing that reflects the early stage.
We spend the first week learning how you work — your voice, your clients, your workflows, your standards. Your agents don't start running until they're trained on what actually matters to you.
Most AI tools tell you what they can do. They're quieter about what happens when something goes wrong.
"A scheduled cleanup task ran with database write access. The AI agent interpreted 'remove stale entries' more broadly than intended. Twelve thousand customer records were gone before the monitoring alert fired — six hours later. The company had enabled agentic mode, but nobody had reviewed what permissions that actually granted."
This wasn't a data breach. Nobody broke in. A well-meaning AI did exactly what it was told — with access it should never have had.
Powerful agents need real guardrails. Not a checkbox in a settings panel, but a considered decision about what your agents can actually reach, and an audit log that tells you exactly what they did.
How we approach this differently → Security & Trust
"Every agent action is logged and auditable. Your data never trains a shared model. Your API keys never leave your infrastructure."
Choose a starting point. We customize it around your business before anyone flips the switch.
No months of implementation. A focused onboarding, then your team is live.
Intake call, a set of structured questions, and a review of how your business actually runs — not just what you wish it did. We build the context your agents need before they do anything.
Your dedicated server is provisioned, your team is configured, and your agents are trained on your business context. You see it before it goes live.
Your team starts handling real work. Monthly tuning sessions, upstream security reviews, and support when something needs adjusting. You're never managing this alone.
Every tier runs on a dedicated server — your data stays yours. Pick the level that matches your workload.
AI agents that haven't learned your business are generic. Here's what the first six weeks actually look like.
Week 1: Context, not just configuration. The onboarding isn't a setup wizard. We ask how you work, what you've tried before, where things usually break down, and what your clients actually need. That's what goes into your team's starting state — not defaults.
Weeks 2–3: Your team starts running. Agents handle real tasks, and you start seeing where the gaps are. You'll correct them. That feedback is how they get better — not through retraining a model, but through refining the knowledge and instructions they work from.
Weeks 4–6: The rhythm settles. Most customers find a working pattern in the first six weeks. Some agents become indispensable quickly. Others need more context before they're useful. We run a tuning session at 30 days to address whatever isn't working yet.
This isn't set-and-forget. It's a team you're managing — with support from us every step of the way.
We're working with a small group of pilot customers. Hands-on setup, direct access to the team, and pricing that reflects the early stage.