Underwrite, monitor and defend energy assets with physics-grounded AI — from solar farms to transformers.
PowerVision ingests real production, irradiance and equipment data to compute performance ratio and degradation, underwrite land and lease finance, track O&M SLAs and the penalties owed, and detect developing faults such as transformer dissolved-gas (DGA) trends. Crucially, it knows when not to trust the data: when a sensor reads dead, PowerVision refuses to underwrite the asset rather than guessing — the difference between a number and a number you can stand behind.
Computes performance ratio and true degradation from production and irradiance.
Underwrite ground leases and PPAs on measured, not assumed, degradation.
Track uptime and response vs guarantees, and the credits owed on breach.
Spot developing faults from load, temperature and dissolved-gas trends.
Refuses to underwrite untrustworthy data — a dead sensor is not a green light.
Ask questions of your imported portfolio in plain language.
Asset owners, energy financiers and REITs, O&M contractors, and reliability engineers.
A look at the PowerVision workspace — live dashboards, analytics and operations in one place.
Talk to our team about a tailored walkthrough for your environment.
Talk to SalesPowerVision is designed to support the safety, reliability and cybersecurity standards that govern power generation, solar and microgrid assets.
Consumes substation and power-asset data models used across the sector.
Read-only, zone-segmentable deployment inside your OT boundary.
Condition-based maintenance for inverters, storage and power plant.
Portfolio-wide, risk-based asset decisions.
Designed to support and align with the frameworks above. Alignment describes how the platform fits your program; it is not a claim of independent certification unless separately stated.
PowerVision is designed to deliver value on day one for a small team, and to scale to a governed, multi-site enterprise deployment on the same platform.
Illustrative walkthroughs of how PowerVision is used and the value it creates. Your figures are set on your own data during a proof-of-value engagement.
An inverter trending toward a thermal or efficiency problem is flagged and ranked, so the crew services the unit before it drops a string.
Battery state-of-health drift across a portfolio is surfaced early, protecting round-trip efficiency and warranty position.
Every site ranked worst-first so a small central team dispatches to the highest-value problem first.
A scoped engagement shows the results measured on your own operation before any wide rollout — then scale across the organization on the same platform.
Book a proof of value
