Agents that do the work built for production, owned by you.
The demo is the easy part. We build custom agent harnesses around your workflow, with the code and keys in your hands.
Built on your hardware, reviewed by your people
A lot of agentic projects are expensive automation wearing a new label. We tell you when you do not need autonomy.
Four ways teams put agents to work
Custom Agent Harnesses
An agent runtime built around your work: tool calling, memory, retry semantics, and human approval gates.
Workload-Automation Agents
Agents that triage, draft, reconcile, summarise and follow up, escalating the exceptions to a person.
On-Premise Document Intelligence & RAG
Question-answering over your contracts, specs and SOPs, with citations. The documents never leave your network.
Real systems, not slideware
On-premise document intelligence for a property brokerage
A local-first brokerage CRM with a RAG layer: documents answered with citations on the firm's own hardware.
Agentic ops + secure edge for the field
Private agentic software over a client's own RFIs and project documents, paired with on-device vision at the edge.
A B2B platform we built and operate
atmosverde, a B2B carbon platform we designed, built and run in production.
What we build, how it runs, and what you sign
Agents that handle the routine and route the rest
Triage, drafting, reconciliation, summarising, follow-up, and question-answering over your own documents with citations.
Bounded harnesses, approval gates, and a trace you can read
The agent runs inside limits you set, hands anything consequential to a named person, and leaves a trace.
The runtime, the keys, the stores and the source
Built on open standards and handed over, so your engineers can run and extend it without us.
Targets set with you, measured on your data
How much routine the agent closes, how often a person intervenes, and how many raised items are real.
Straight answers
Does our data leave our network?
No, not unless you decide it should. Self-hosted inference, local stores, role-based access and audit logs are the default.
What happens when the model gets something wrong?
Not what you fear. Approval gates sit on anything consequential, outputs are validated before they are acted on, and a trace shows why.
Are we locked into you?
No. You own the runtime, the keys, the stores and the source, handed over on open standards.
Start with one pain point
Share one workflow that hurts and we will scope a small build around your real data.
Book a discovery call