Feedback loop
Action and proof can be weeks apart.
AI that works for weeks to complete jobs end-to-end.
You only pay for outcomes.
Built by AI/ML and industrial experts
AI agents need to wait, remember, and recover across people, documents, equipment, and approvals to minimize irreversible risks.
Action and proof can be weeks apart.
The actual reason a pump is behaving incorrectly may be known by a technician, written on paper, visible at the site or nowhere at all.
Industrial work frequently spans operators, engineers, contractors, clients, equipment, weather, permits and legacy systems.
The workflow state must remain intelligible after multiple handoffs, interruptions and personnel changes.
Cayu is model-agnostic, results in 60-70% token savings, and allows for on-premise deployments
Webhooks, documents, field events, prior results, and human input kick off the loop.
The harness chooses tools, side effects, and waits with deterministic policy.
Scheduled work across systems: minutes, hours, or days out.
Human checkpoints with full evidence. Then the next signal.
The loop continues as new signals arrive and until the job is done.
Long-running agents can work for weeks and deliver business outcome for operations in energy services, logistics & supply chain, and modernizing legacy systems
Energy services
Send utility bills to agent. Continue selling. Receive accurate energy model
Model and savings review ready · Day 5
Energy services
Coordinate on-sites. Track compliance. Keep state until the gate clears.
Cleared for work · Day 4
Logistics
Find lanes. Chase brokers. Keep the trail across calls and email.
Lane booked · Day 2
Modernization
Rebuild legacy app and unlock AI-roadmap
Cutover approved