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Energy & Power Generation

Asset intelligence, from people who've stood next to the machine.

Two decades of power and rotating-equipment engineering, now rebuilt on AI: fuse sensors, alarms, your asset graph and every manual behind one reasoning layer — and get answers with receipts.

Runs on your servers · your data stays private · security-reviewed

Sensor data
Alarms & events
Asset graph
Manuals & reports
Grounded reasoning
Cited answer
Outage-risk flag
the provenance

The same system, two decades apart.

What the industry now calls APM, digital twins and data fusion, our engineers were building for turbine fleets long before it had a name. The architecture was right then — AI is the engine it was waiting for.

Field engineering · two decades

Fleet monitoring, self-hosted

  • FleetFleet-wide turbine and equipment monitoring for power producers and utilities.
  • IntegrationVendor-neutral controls integration — one data model across many controller types.
  • MonitoringReal-time readings, alarms and events, with start / load / shutdown detection.
  • ReportingOperations, outage, performance and emissions-compliance reports from the live record.
  • InfrastructureSelf-hosted servers — chosen for security, reliability and independence from any one vendor.

2024–now · Business Logistics

The same architecture, on AI

  • KnowledgeA production platform that brings documents, sensor data, images and audio into one place you can ask questions of.
  • IngestionReads any source or format — the modern version of that vendor-neutral integration layer.
  • DetectionAn automatic checker reads the record against itself and flags where it disagrees.
  • AnswersGrounded, cited answers — with an honest "the data doesn't say" when the evidence isn't there.
  • SecuritySelf-hosted, encrypted, and security-reviewed — your data never leaves your servers.
the architecture

A plant makes four kinds of data. Most tools read one.

Historian time-series, alarm and event logs, an asset-and-parts relationship graph, and a mountain of unstructured documents — manuals, inspection reports, outage records, OEM bulletins. The value is in fusing them behind a single reasoning layer.

Sensor data

The sensors

Vibration, temperature, pressure, output, efficiency — live readings over time.

Alarm & event log

The anomalies

Trips, alarms and state changes — the signals that something is drifting before it fails.

Asset graph

The relationships

Units, sections, parts, spares and service history — what connects to what, and what’s due.

Documents

The knowledge

Manuals, inspection reports, outage plans and OEM bulletins — decades of expertise, unstructured.

The reasoning layer

One place to ask the fleet a question

An LLM synthesizer reasons across all four sources under strict grounding discipline — every answer traced to the sensor, the alarm or the page it came from, and an honest "the data is silent on this" when the evidence isn't there.

Why this transfers

Swap "plant" for any document-heavy operation and the data model is identical — time-series, event logs, a relationship graph and unstructured documents, unified behind one reasoning layer. It's the same pattern we bring to every engagement.

how we build it

Engineered, secured, self-hosted.

Not no-code stitching, and nothing leaves your infrastructure — the operating discipline the work demands.

20+yr
Engineering behind it
power & rotating equipment
4
Data types fused
sensors · alarms · graph · docs
Private
Runs on your servers
your data stays put
Secure
Security-reviewed
before every launch

Track-record figures reflect the team's engineering history; platform capability is scoped to your fleet. We don't publish another client's private production numbers as our proof.

what we build

From sensors and manuals to answers.

Each capability maps to a system we build and deploy on your infrastructure.

Ask the Fleet

Ask a plain-English question across sensor data, alarms and every document — grounded, cited answers, no invented numbers.

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Anomaly & drift detection

Automated detection of the trends and inconsistencies that precede unplanned outages — the alarm log, made intelligent.

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Document intelligence

Manuals, inspection reports and OEM bulletins ingested and searchable — every answer cited back to the page.

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Performance & compliance

Efficiency and availability analytics plus regulatory reporting generated from the record, not rekeyed by hand.

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Asset knowledge graph

Units, parts, spares and service history as a graph — "what’s connected and what’s due" is one query, not a spreadsheet hunt.

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Human-in-the-loop review

The machine proposes, your engineer confirms. Nothing reaches a decision unverified — reliability discipline, not autopilot.

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who we build for

Priced and scoped for operators.

Bespoke data fusion, deployed in weeks on your terms — not a seven-figure platform that assumes a data-science team.

IPPs & utilities

Plant & fleet operators

Real asset intelligence without a seven-figure enterprise contract or a two-year rollout.

O&M & service

Service providers

Turn decades of inspection reports and outage records into an intelligence layer your field engineers can query.

OEM & aftermarket

OEMs & parts suppliers

Fuse product data, bulletins and field returns into a reasoning layer that surfaces what your fleet is telling you.

Talk to someone who has stood next to the machine.

An engineer who's commissioned and monitored the equipment, now building production AI — self-hosted, secured, and live in weeks. Let's scope your fleet.

Book a call →