Enlyra gives EPCs, IPPs and O&M teams a single platform for telemetry ingestion, deterministic analytics, AI diagnostics and edge device management — across utility-scale and C&I portfolios.
The principles that shape how we build, support, and grow with our customers.
AI can explain results, but it cannot replace the math. Every PR, expected generation and loss number in Enlyra is reproducible from normalised datasets — auditable for IEC reports and EPC contracts.
Our Engineering Principles →Bidirectional config sync, Modbus parameter mapping, offline data replay, MCR/ICR lifecycle management — the unglamorous work that actually keeps fleet operations running.
Our Technology →Every feature we ship is measured by one question: does this help operators recover lost kWh and protect contracted PR? Nothing else.
Our Promise →“We started Enlyra after seeing the same pattern across plants: tons of telemetry, almost no answers. PR was off and nobody could explain why. Generation reports disagreed with billing. Inverter alarms drowned in noise. We built Enlyra so operators can finally answer "what just happened, why, and what should I do" — with the math to back every answer.”
Commitments we make to every customer, team member, and partner.
Analytics must be reproducible. AI explains; it never replaces the calculation.
Every query, every dashboard, every job is scoped to tenant_id. Multi-tenant safety is non-negotiable.
We build with bandwidth, latency and field reality in mind — offline replay, edge config and OTA done right.
Our roadmap comes from O&M heads, asset managers and field engineers — not feature checklists.
Modbus catalogues, MQTT topics, weather station integrations — Enlyra plays well with the protocols solar already runs on.
Plants generate 365 days a year. The platform that monitors them must too.
We are former O&M leads, SCADA engineers and ML researchers who got tired of stitching Excel onto SCADA. Enlyra is what we wished we had on-site.
“The best solar engineer never sleeps, never misses an inverter trip, and always shows the math. That is the AI we are building for every operator.”
How Enlyra fits into your solar operations stack.
Enlyra ingests data from inverters, MFMs (LT/HT), weather stations, plant export meters, transformer devices and digital IO cards over Modbus TCP/RTU — bridged to the platform via the Enlyra Edge Device (MCR/ICR) or PC Client over MQTT.
Both are computed deterministically from normalised 1-minute and 15-minute datasets in PostgreSQL — never from raw telemetry. The Expected Generation engine uses plane-of-array irradiance, temperature correction and plant-specific configuration; PR is reconciled against contracted IEC methodology.
Eight engines run on top of the analytics layer: performance insight, anomaly detection, predictive fault, degradation, cleaning recommendation, energy forecasting, natural-language chatbot, and an autonomous root-cause investigation engine. Daily insight batches summarise the fleet; the chatbot answers in plain English using your plant data.
Yes. The platform supports two tenant types — Client tenants and EPC tenants — with strict tenant_id isolation in every table and query. EPC tenants can manage multiple clients and plants from a single login.
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