A general purpose model is good at sounding right. A water utility needs an answer that is right and provably so. Syfter is built the second way. Each specialist agent is trained for one domain, and each answer it returns carries the path back to the source.

RouterSyfter.aiHydrologyComplianceMaintenanceGeotechProcurement
Architecture

How Syfter is built.

Five specialist agents

Hydrology, Compliance, Maintenance, Geotech, and Procurement. Each agent has its own knowledge base, its own tools, and its own evaluation harness. A general router decides which agent or combination of agents answers a given question.

Multi modal RAG

Answers are grounded in real source material. Sensor streams, PDF pages, GIS layers, SCADA tags, and Excel sheets are indexed in vector form and retrieved at query time. The model weights generate language. The retrieval gives the model facts.

The Citation Path

Every Syfter answer carries a structured trace back to the documents, pages, sensors, and rules it relied on. The trace is visible in the UI and exportable as part of the audit log. If a citation cannot be produced, Syfter says so.

In the day-to-day

What Syfter does day to day.

For the dam safety engineer

Ask why a piezometer reading drifted, and Syfter returns the reading, the historical baseline, the last three inspection notes that mention it, and the page in the design memo where the original threshold was set.

For the control room operator

Ask for the top three things to watch this shift, and Syfter returns the ranked list, the sensor tags behind each, and the previous shift’s handover summary.

For the compliance officer

Ask whether a recent release meets the downstream environmental flow obligation, and Syfter returns the answer, the relevant clause, the actual release schedule, and the gauge data that confirms the answer.

For procurement

Ask which spare parts ICE has flagged as needed in the next 30 days, and Syfter returns the list, the work orders that triggered the request, and the inventory check against the warehouse system.

FAQs

Common questions.

Why agents instead of one general model?

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Domain accuracy. A general model averaged across hydrology, compliance, and maintenance is worse at each of them than a specialist trained for one. Syfter routes the question to the agent qualified to answer it.

One asset. Thirty days.
Full Digital Twin.

Pick one critical asset. We instrument it, fuse the data, and stand up the Digital Twin in under 30 days. No rip and replace. Sovereign deployment.