Portfolio performance
96.3%
Actual ÷ expected
Solar intelligence for asset owners
ArraySignal connects portfolio health, expected-versus-actual production, and modeled financial impact so commercial solar asset owners can decide which sites deserve attention first.
ArraySignal reference experience
A sample operating view connecting fleet health to modeled impact and review priority.
Portfolio performance
96.3%
Actual ÷ expected
Modeled revenue impact
$14,820
Sample monthly estimate
Sites requiring review
3
Across 6 sample sites
Phoenix Distribution Center
78.4% performance
Denver Warehouse
89.2% performance
Austin Manufacturing
98.1% performance
Fictional site names and illustrative values—not customer telemetry. These values do not represent guaranteed savings or unreleased functionality.
The operational problem
Asset owners need to understand whether each system is meeting its modeled potential, but monitoring data, weather context, and financial exposure often live in separate workflows.
Different monitoring sources make it difficult to compare performance consistently across sites.
A production variance is hard to prioritize when its potential energy and revenue impact are unclear.
Teams can spend the same review effort on a minor deviation and a persistent high-impact issue.
Workflow
ArraySignal keeps measured production, modeled expectations, data quality, and economic estimates distinct so owners can see why an asset is ranked.
Normalize site telemetry into a consistent portfolio view.
Compare actual production with weather-adjusted expected behavior.
Estimate potential lost energy and financial exposure with uncertainty visible.
Rank assets by health, evidence, and modeled business impact.
Relevant capabilities
Review performance, availability, and data completeness together instead of relying on a single score.
Use weather-adjusted expected production to identify meaningful asset-level variance.
Convert known production gaps into cautious modeled energy and financial estimates.
Focus review on the sites with the clearest combination of severity and potential impact.
Potential outcome
A connected performance and impact view could help owners spend less time reconciling dashboards and more time deciding where technical review is warranted.
Financial values are modeled estimates, not guaranteed savings. Outcomes depend on telemetry quality, commercial assumptions, and follow-through by the operating team.
Frequently asked questions
ArraySignal is designed to complement existing monitoring by adding vendor-neutral expected-production analysis, data-quality context, and prioritization. The current MVP begins with CSV telemetry rather than replacing plant controls or monitoring hardware.
Known performance gaps can be translated into estimated lost energy and then valued using an explicit commercial assumption. ArraySignal labels the result as modeled and does not treat missing telemetry as confirmed production loss.
The product architecture uses canonical measurements and explicit units so sites can be reviewed consistently without tying the analysis layer to one equipment vendor.
Coverage and data-quality issues remain visible. ArraySignal does not silently fill missing telemetry or present unknown impact as zero.
Request demo
Request an early-access walkthrough using a representative asset-management workflow and clearly labeled demonstration data.
ArraySignal is in early access. The walkthrough uses fictional reference sites and demonstration analytics—not customer data.
A focused walkthrough
Tell us about your role, portfolio scale, monitoring platform, and primary challenge. After your request is saved, the next step will present scheduling when a provider is available.