Every Sotaire deployment is shaped to one organization: the models it runs, the agents it ships, the data it learns from, and the compliance it enforces. We do the building; your team does the work.
We select and configure the models that fit your tasks and hardware — sized for capability, latency, and the documents your teams actually work with.
Purpose-built agents for your real workflows, with the right tools wired in and a human-in-the-loop gate on anything consequential.
Grounded in your internal knowledge — policies, tickets, contracts, wikis — so answers reflect how your organization actually operates.
Access rules, retention, and audit configured to your industry and internal policy. Tailored controls, not a generic checkbox.
We sit with your teams to map the workflows, data sources, and compliance constraints that matter — and where AI is worth deploying first.
We propose the model mix, the agents to build, the data to ground them in, and the access and audit rules — scoped to your environment.
We install the hardware in your office, connect your sources, and build the tailored agents and bots end to end. You don't lift a server.
Your team starts running it day to day. We tune against real usage and add agents as new workflows surface — everything staying on-prem.
Agents that read against your clause library and flag risk, grounded in your own precedents and playbooks.
A bot that answers from your runbooks and ticket history — fast, sourced, and never sending data outside.
Extract, reconcile, and summarize across invoices and statements with approvals gated to a human.
Grounded in your private repos and docs, running on hardware inside your network — no code leaves the building.
A scoping session covers your data, workflows, and compliance — and what we'd build for each team.