Nerqon is a self-hosted Energy Management & BI platform. Connect your databases and machines, see every kilowatt on live dashboards, and ask questions in plain language — answered by an AI that runs entirely on your own hardware.
Built for industrial teams that own their infrastructure
Live dashboards on the left. A private AI that speaks SQL on the right. Both running on your server.
Illustration of the Nerqon interface with sample data.
From live monitoring to AI answers — every capability runs against your own databases and machines, on your own hardware.
Ask “Where can we save energy?” in plain language. The AI writes and runs SQL on your data, then shows the answer with the table, a chart and the exact query it used.
Drag-and-drop dashboards with 15+ widget types. 66 ready-made energy analytics and 9 prebuilt dashboards for consumption, cost, power quality, OEE and more.
7/14/30-day forecasts of energy, cost and peak demand with confidence bands — Prophet and XGBoost models trained on your own historical readings.
Threshold rules on any metric with scheduled evaluation and full alert history. Catch anomalies before they reach the bill.
CO₂ tracking straight from your meters — emission factors, savings calculations, and water/waste sustainability metrics. No spreadsheets.
Generated PDF and Excel reports on a schedule — audit-ready numbers delivered automatically, stored on your own object storage.
One docker compose up -d and you’re running — typically in under 15 minutes.
Point Nerqon at your databases and machines — 25+ connectors from PostgreSQL to Modbus. Every connection performs a real protocol handshake, not just a ping.
9 prebuilt dashboards light up with your consumption, cost and power quality. Rearrange them or build your own from 15+ widget types.
Question your data in plain language. The local AI answers with numbers, charts and the SQL it ran — grounded in your database, not the internet.
Forecast the next 7–90 days, set threshold alerts, track CO₂, and schedule audit-ready PDF/Excel reports for the people who need them.
Unlike cloud BI tools, the entire Nerqon stack ships as Docker containers on your own server — including a local large language model and a local vector database.
25+ connectors, including 10 industrial & streaming protocols. Every one performs a real protocol handshake on setup — with live read testing for industrial endpoints.
No. Every component — including the AI language model and vector search — runs as Docker containers on your own server or private cloud. There are no cloud API calls, no OpenAI keys and no per-token fees. Nerqon can run fully air-gapped, with no internet connection at runtime.
Nerqon runs on modest hardware — from a single server with 32 GB RAM. A GPU is optional and auto-detected: it speeds up AI answers but isn’t required.
Nerqon ships as Docker containers and deploys with one command — docker compose up -d. From bare server to running product typically takes under 15 minutes.
25+ connectors: relational databases (PostgreSQL, MySQL, SQL Server, Oracle…), cloud warehouses (Snowflake, BigQuery, Redshift, ClickHouse), time-series stores (TimescaleDB, InfluxDB, QuestDB, Prometheus), MongoDB — plus 10 industrial/streaming protocols including Modbus TCP/RTU, OPC-UA, BACnet/IP, MQTT, SCADA, Kafka, REST APIs, OSIsoft PI and AVEVA Historian. Full list →
You ask in plain language. The AI writes and runs read-only SQL against your databases, then answers with text plus the result table, an instant chart, a CSV download and the exact SQL it used. It knows your schemas and built-in energy standards (BEE/ASHRAE benchmarks), and it’s powered by a local 14-billion-parameter model — grounded in your database, not the internet.
Request a demo and we’ll contact you personally to arrange a guided tour on your screen — dashboards, the chatbot answering real questions, and forecasting. Demo access is provided individually after contact.
Book a personal demo — we’ll walk you through live dashboards, the AI chatbot and forecasting, tailored to your industry.