Solar Intelligence Platform · Live

Run Solar Plants Like an Engineer, Analyst & Operator
— powered by AI.

Enlyra unifies SCADA-grade telemetry, deterministic generation analytics and an AI Solar Engineer — so EPCs, IPPs and O&M teams run utility-scale and C&I portfolios from inverter to fleet view, in real time.

Up to  4% of fleet generation typically lost — caught and attributed automatically
Pilot-ready in daysNo SCADA rip-and-replaceMulti-tenant from day one
40+ EPC engagements|Monitoring 200+ plants across our fleet
app.enlyra.ai · Live Operations ConsoleLIVE · 2s refresh
Sunfield Solar Park · Phase 2
12 inverters · 30 MW · India · just now
842.6 MW
Active power
10/12
Inverters online
−4,200 kWh
Loss flagged today
4.09M kWh
Plant export
Active Alarms · 62 critical
MAJOR
INV-07 · String current
I = 4.2A vs 9.4A avg · 12m ago
MINOR
CB-14 · Temperature
68°C exceeds 60°C · 45m ago
WARN
INV-04 · Voltage
246V near upper band · 2h ago
INFO
PLANT · Soiling
Soiling loss 4.1% · 6h ago
Inverter Fleet · 12 devices10 ONLINE · 1 FAULT · 1 WARN
INV-01
72.8 MW
INV-02
76.0 MW
INV-03
73.0 MW
INV-04
69.9 MW
INV-05
71.0 MW
INV-06
75.1 MW
INV-07
0.0 MW
INV-08
69.0 MW
INV-09
68.3 MW
INV-10
72.8 MW
INV-11
73.4 MW
INV-12
69.9 MW
+12 anomalies caught today
Trusted by EPCs, IPPs and O&M teams running solar at scale
4,200 kWh
Loss avoided in one early-warning catch
<2 sec
Live dashboard latency
<5 sec
Server-to-edge config sync

Still Hunting kWh Across Three SCADA Dashboards?

Every untracked loss is generation revenue you never bill. Here is what is happening, in real time, on most fleets.

🌞

PR drifts and nobody can explain why

PR is 1.8% below contract — but is it soiling, curtailment, an inverter, or weather? Without loss attribution it is a guess, and your O&M ticket queue stays cold.

⚠️

Real faults drown in alarm noise

Hundreds of inverter alarms a day, mostly transient. The string fault that actually cost you 4,200 kWh shows up as one alarm in a sea of green and red.

🧮

Three SCADAs, two dashboards, one Excel

Live data here, analytics there, reports in Excel, configuration on the laptop in the substation. PR you cannot reconcile is just a number.

Enlyra unifies all of this — from edge device to AI insight.
📊Loss Attribution Engine

Most Plants Lose 3–5% of Possible Generation.
Enlyra Tells You Exactly Where It Went.

Every kWh between Expected and Actual generation is decomposed into curtailment, soiling, inverter downtime, MPPT loss, weather and inverter underperformance — with rupee/dollar impact at your contracted tariff. No more "PR is low, we will check it next week."

Per-cause loss waterfall computed on normalised 1-min and 15-min datasets — not raw telemetry
Tariff-aware financial impact: every lost kWh tied to revenue at the contracted rate
EPC benchmarking across plants — see which sites underperform and why, side by side
Auditable calculation trace — every PR and loss number reproducible from the underlying data
6 bucketsCurtailment, soiling, downtime, MPPT, weather, underperformance
15 minRefresh cadence on loss attribution
IECPR methodology, audit-grade reproducible
See loss attribution live →⚡ Reproducible math from your existing telemetry
📊 Plant Inverter Dashboard — Sunfield · Phase 2LIVE · 24h
Sunfield Solar Park · Phase 2
DC/AC 1.27 · 12 inverters · just now
4,098,408
Plant export · kWh
842.6 MW
Active power
92.4%
Availability
INVERTER
STATUS
DC/AC CAP
LIVE DC
LIVE AC
EXPORT
LOSS
INV-01
ACTIVE
80 / 75 MW
71.0
68.3
435 kWh
10 kWh
INV-02
ACTIVE
80 / 75 MW
76.9
74.0
393 kWh
28 kWh
INV-03
ACTIVE
80 / 75 MW
79.3
76.3
466 kWh
13 kWh
INV-04
ACTIVE
80 / 75 MW
81.6
78.0
461 kWh
35 kWh
INV-05
ACTIVE
80 / 75 MW
81.2
78.0
434 kWh
16 kWh
INV-06
ACTIVE
80 / 75 MW
79.2
76.1
417 kWh
8 kWh
INV-07
OFFLINE
80 / 75 MW
0.0
0.0
0 kWh
0 kWh
INV-10
SAFE MODE
80 / 75 MW
68.5
65.9
477 kWh
12 kWh
Loss flagged today · −4,200 kWh
Soiling 44%
Inverter 28%
Curt. 20%
Wx 8%
📡Multi-Source Telemetry Ingestion

Inverters, MFMs, Weather Stations — All Streaming.
Enlyra Ingests Every One.

MQTT pipeline ingests from Enlyra Edge Devices (MCR/ICR) and PC Clients with Telegraf, in real time and through bad networks. Offline replay, deduplication, rate limiting, MQTT topic ACLs and per-device JWT all handled at the platform layer.

Edge Device family — MCR aggregates ICRs over Modbus TCP and ships JSON over MQTT
PC Client with Telegraf — connects via Modbus TCP, persists offline, replays at configurable rate
InfluxDB hot store + PostgreSQL analytical layer — 1-min and 15-min aggregates, 24h hot retention
Server-side deduplication on (device_id, timestamp) — replays never pollute the historical record
50 msg/sDefault offline replay throughput
<500 msHeartbeat processing latency
20–100Inverters per plant, supported
See the ingestion stack →✓ Robust through bandwidth drops and brownouts.
📡 Telemetry Ingestion — MQTT · MCR/ICR · PC Client42 devices online
TOTAL
12
ONLINE
10
WARNING
0
FAULT
1
OFFLINE
1
POWER
842.6 MW
U_1_ICR4 inverters
GATEWAY_1 · 10.0.1.10 · 4 INV
INV-01
72.83 MW24/24
INV-02
75.97 MW24/24
INV-03
72.99 MW24/24
INV-04
69.87 MW24/24
U_2_ICR4 inverters
GATEWAY_2 · 10.0.2.10 · 4 INV
INV-05
70.98 MW24/24
INV-06
75.12 MW24/24
INV-07
0.00 MW0/24
INV-08
69.00 MW24/24
U_3_ICR4 inverters
GATEWAY_3 · 10.0.3.10 · 4 INV
INV-09
68.26 MW24/24
INV-10
72.80 MW22/24
INV-11
73.42 MW24/24
INV-12
69.90 MW24/24
🎯0 telemetry gaps · MQTT bridge · offline replay enabled · 1-min resolution
🧠AI Solar Engineer

AI That Diagnoses, Forecasts and Recommends.
Not a Chatbot. An Engineer.

Eight purpose-built AI engines run on top of the analytics layer — anomaly detection, predictive faults, degradation, cleaning recommendations, energy forecasting, autonomous root-cause investigation, and a natural-language chatbot that answers in plain English from your plant data.

Anomaly detection on string and inverter behavior — flagging real faults under noise
Predictive fault detection from electrical signatures — IGBT, fuse, contactor patterns
Module degradation tracking via PR trend, validated against irradiance and temperature
Natural-language plant Q&A — "why was PR 1.8% off yesterday?" with the math attached
8 enginesPerformance, anomaly, fault, degradation, cleaning, forecast, NL, RCA
DailyAI insight batch generation across the fleet
0 hallucinationEvery AI answer cites underlying telemetry
Meet the AI Solar Engineer →⚡ Grounded in your plant data — never generic.
🧠 AI Solar Engineer · Plant Q&Agrounded · just now
You · Asset Manager · 14:08
Why is Sunfield · Phase 2 generation 1.8% below expected this afternoon?
🧠 AI Solar Engineer · grounded in 1-min telemetry
Three causes attributed for the 14:00 – 16:00 window. Total impact −4,200 kWh at contracted tariff.
−1.18%
Soiling drift
Modules 12–18 · 14 days since cleaning · ticket T-148 opened
−0.42%
INV-07 / String-12 underperformance
Current 6.4% below sibling strings · stable POA · ticket T-149 routed to O&M
−0.20%
Irradiance below seasonal expected
POA 6.8% below forecast · non-recoverable
Actual vs Expected · 14:00 – 16:00cited from 1-min dataset
ExpectedActualgap −4,200 kWh
8 AI engines
AnomalyPredictive FaultDegradationCleaningForecastRCAPerformanceNL Q&A

Sixteen Modules + Eight AI Engines — One Platform

From MQTT ingestion to AI-driven RCA. Replace SCADA + Excel + email with one operations cockpit.

📡

Multi-Source Telemetry Ingestion

MQTT pipeline from MCR/ICR and PC Clients. Offline replay, deduplication, topic ACLs, device JWT — all built in.

📊

Loss Attribution & Financials

Decompose PR shortfall into curtailment, soiling, downtime, MPPT, weather and inverter underperformance — with tariff-aware impact.

🧠

AI Solar Engineer (8 Engines)

Anomaly, predictive fault, degradation, cleaning, forecasting, NL chatbot, RCA — running daily on every plant.

🔔

Smart Alerts + O&M Ticketing

Rule and AI alerts feed straight into the ticketing workflow with priority and SLA tracking. Real faults, not noise.

🛰

Edge Management

MCR/ICR/PC Client lifecycle — heartbeats, OTA, remote commands and bidirectional config sync with version tracking.

🏢

Multi-Tenant for EPC Portfolios

EPC and Client tenants with strict tenant_id isolation. Manage many clients and plants from one dashboard.

See How Enlyra Catches Faults Before They Cost You

📊 MFM SCADA Trends · Sunfield · Unit_1LIVE · 24h
Active PowerV R-PhaseI R-PhaseFrequencyPower Factor
1H6H24H7D30D
00:0003:0006:0009:0012:0015:0018:0021:0024:00
Active Power
842.6 kW
V R-Phase
240.5 V
I R-Phase
412.3 A
Frequency
50.02 Hz
Power Factor
0.98
Energy
1.28M kWh
4,200 kWh saved
in a single early-warning catch

Helios EPC caught an inverter issue and saved 4,200 kWh — explore live SCADA trends and inverter telemetry end-to-end.

Request a demo — guided walkthrough

Built for Every Solar Operator

One Operations Cockpit Across Your Entire Fleet

IPPs run heterogeneous portfolios — different inverter brands, different EPCs, different ages. Enlyra unifies all of them under one tenant view with PR, loss and financial impact rolled up across the fleet.

📊 PR, loss & financial impact across the whole portfolio
Talk to our team
🟢 Live Fleet — TodayLIVE · 2s
PLANT / CLIENT
STATUS
PERFORMANCE
Plant A — 50 MW Rajasthan
PR 81.4% · 18 inverters
✓ On target
+1.2% vs ref
Plant B — 30 MW Gujarat
PR 78.9% · 12 inverters
⚠ Soiling flag
−1.8% vs ref
Plant C — 110 MW MP
PR 80.7% · 36 inverters
✓ On target
+0.4% vs ref
🟢 PR within band on 14 of 16 plants — soiling flagged on 2

Recover 0.5% of PR. Enlyra Pays for Itself.

A 30 MW plant generating ~50 GWh/year × Rs 3/kWh tariff loses Rs 7.5 lakh per 0.5% of PR shortfall. Recover that with loss attribution and AI fault detection — and your subscription is covered many times over.

Plant SizeAnnual GenerationPR RecoveredTariffAnnual Revenue Recovered
10 MW~17 GWh/yr+0.5%Rs 3.0/kWh+Rs 2.5 L/yr
30 MW~50 GWh/yr+0.5%Rs 3.0/kWh+Rs 7.5 L/yr
100 MW~170 GWh/yr+0.5%Rs 3.0/kWh+Rs 25.5 L/yr
500 MW~850 GWh/yr+0.5%Rs 3.0/kWh+Rs 1.27 Cr/yr
0.5%
Typical PR recovery from disciplined loss attribution + AI fault detection
4,200 kWh
Single-event saving from one early-warning catch on Helios EPC
15 min
Analytics refresh — losses become visible while you can still act

From a Single C&I Plant to a Multi-GW Fleet

Every plan includes monitoring, deterministic analytics, smart alerts and edge management. AI engines and SLA features unlock as you grow.

Starter
$299/mo
~Rs 24,000/month
For one C&I plant
Real-time monitoring, PR & loss analytics, smart alerts, edge management for 1 plant.
Start a pilot
Enterprise
Custom
Tailored
For EPC & IPP portfolios
Unlimited plants, dedicated infrastructure, custom AI tuning, on-call solar engineering.
Talk to Sales

✓ Pilot-ready in days | ✓ No SCADA rip-and-replace | ✓ Multi-tenant from day one | ✓ IEC-aligned PR methodology

Operators Running Solar at Scale on Enlyra

AR
3 → 1
SCADA tools collapsed to one
Enlyra replaced three legacy SCADA dashboards. We finally see PR, loss attribution and financial impact in one place — and it actually reconciles with our IEC reports.
Anita Rao
Head of Asset Management — SunGrid IPP
VM
4,200 kWh
Saved in one early-warning catch
The AI anomaly engine flagged a string fault two days before our scheduled inspection would have caught it. Saved roughly 4,200 kWh of generation.
Vivek Menon
O&M Head — Helios EPC
PI
14 sites
Configured from the office
The bidirectional config sync alone saved us an enormous amount of site travel. Pushing Modbus updates to 14 plants from the office is a different way of working.
Priya Iyer
Director, Solar Assets — Voltara Energy

Bring Your Fleet Online. See Every kWh, Every Loss, Every Fault.

Edge device onboarding, plant topology, analytics dashboards and AI insights — pilot-ready in days, not quarters. Talk to our solar engineers and we will scope a deployment that fits your portfolio.

Pilot-ready in daysNo SCADA rip-and-replaceMulti-tenant from day one