Your data isn't the problem.
The wait for it is.
The answer to your operator's question is already in your systems. It's just stuck behind seven logins, three SQL dialects, and someone's lunch break. We deploy a multi-agent system that reads, reasons, and answers — in plain English, in your environment, in 8–12 weeks.
The answer exists. Just not in one place anyone can reach.
Your ops team isn't short on data. They're short on time to chase it across six systems built across three decades.
Specialist agents. One coordinated answer. Plain English in, traceable answer out.
One big monolithic model can't read your ERP, reason about your business rules, and cite the result. We split the work: small, swappable agents — each doing one job well, orchestrated to answer the question end to end.
We didn't theorize the governed agent. We built it twice.
One engine — deterministic gates between the agent and the data, every answer cited and signed or refused outright — retargeted to two very different regulated problems. Building the second from the first is the proof it ports to yours.
Compliance command center
An agent over a manufacturer's security data that produces a live compliance posture and an auditor-ready evidence pack — self-hosted, running on a local model, nothing leaving the enclave.
What it proves — The control framework is just a ruleset. Our reference build enforces US CMMC / NIST 800-171; the same engine takes EU NIS2, DORA, GDPR or ISO 27001 — swap the rules, keep the signed audit and the evidence pack.
Manufacturing data-trust center
Natural-language search over messy real sensor data — semiconductor wafer lots, turbofan run-to-failure — where every number has passed deterministic quality gates. When the data is bad, the agent refuses and names the exact rule that blocked it.
What it proves — The agent provably never reports bad data. The refusal — typed, signed, explained — is the feature, not the failure.
Same orchestration, same signed provenance chain, same policy engine — the rules swap, the guarantees don't. Point it at your compliance data, your quality data, or your knowledge base; the engine doesn't care which, and the answer is always cited, signed, or honestly refused.
We're integrators. Not a platform you have to license forever.
The agentic AI market is full of vendors who'll sell you their platform, their cloud, their seat fees, and a multi-year contract. We don't. We assemble the right agent stack for your problem from the best building blocks — and we leave it running clean.
No vendor lock-in
Open weights where possible, your data stays in your environment, your business rules in your repo. When the engagement ends you keep what was built — including the right to swap us out and have someone else run it.
Best model for the agent
Different agents need different brains. Routing wants a small fast model. Reasoning wants a frontier model. Citation wants a deterministic retriever. We pick per agent, not per platform.
Leverage what you already own
If your ERP, MES, ticketing, or data warehouse already holds the answer — we connect to it. No re-platforming, no "first you migrate everything to our lake," no rip-and-replace.
Integrator, not platform vendor
We don't sell an agentic platform you have to license forever. We assemble the system from open building blocks — open-source orchestration, your data systems, your auth — and we walk away when it's running clean.
Walk-through to working command center in 8–12 weeks.
Decisions land in minutes. Answers come with their receipts.
Every engagement has a success number signed before week one. Milestone-gated payment. You pay for results, not for hours.
What ops leaders ask first.
We don't have a data lake. Is that a blocker?
What stops an agent from hallucinating a number?
How do we control what each agent can see?
Who owns the agents and the data?
How is this priced?
Pick the report that takes the longest to assemble. We'll show you what Day Two looks like.
One conversation, one workflow, one signed success number. That's the on-ramp.