We build the engine that turns real-world operations — with their constant updates, tweaks, and exceptions — into solved, provably-correct schedules. It now outperforms every published agentic logistics system.
DCP-Bench-Open: 164 real combinatorial problems, natural language in, formal solved model out. The best published system scored 91%. Ours — built for our own operations, not for benchmarks — scored 156/164 (95.1%) in a single clean run, one attempt per problem.
To be clear: we did not build this to beat a benchmark. We built it to solve real-world logistics — the kind that demands constant updates, tweaks, and exceptions. We started as an outsourced scheduling company and grew inside major healthcare centers, where the duty-hour rules are federally mandated and "close enough" isn't a schedule.
To run those operations we built our own programming language for constraints, the verification layer that proves every schedule correct, the machinery to model complex networks of interdependent schedules, and the tooling to run an entire company on this engine — ours. Beating the benchmark fell out of that: a unique approach to logistics, distilled into a repeatable, automated process.
The result is that outsourced-quality logistics becomes self-service, with the same level of customer input — describe your operation, get a verified system your team runs.
Our constraint language turns plain-English operations into formal models — coverage, rest rules, fairness, routing, inventory — solved to proven optimality.
prompt → working modelEvery schedule ships with an audit-grade receipt: independently re-verified, objective recomputed, optimality certified. Tampered plans are rejected.
gap 0.0 · provenProduction feeds staffing feeds fleet feeds maintenance — whole operations as a living dependency graph, re-solving downstream when anything changes.
one org, one graph"Crew 101 is out on shift 1" — re-solved in seconds, moving as little as possible, everyone notified. No consultants, no spreadsheets, no re-planning day.
plain-English managementHealthcare is live and growing. The same engine already expresses the operations trio every industry runs on:
AI agents are measurably weak at combinatorial optimization. Ours is the engine they hire: MCP access, 13 tools, verified receipts they can act on — solve, manage, verify, explain, stress-test, what-if.
If your operation lives on schedules — people, vehicles, inventory, rooms, machines — we'll show you how our system can power it more effectively and autonomously, with the responsiveness of an in-house team.
Talk to us →For the right investors, as we dive deep into multiple verticals and push the capabilities further. Benchmark evidence, live revenue, and the agentic roadmap — diligence materials on request.
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