New Delhi, 13 November 2026: AION Private Limited has launched AION, a decision intelligence platform for India’s power utilities, disaster and water authorities, and police. That helps in making faster, better-informed, and fully auditable decisions.
Its seven products, PowerGenie, REDSM, RE-cast, PowerIntel, FloodCast, TerraLens and AION Rakshak, help these institutions take faster, better-informed decisions and, when a decision is questioned later, show the exact basis of the decision-making process.
Karan Dhaul, Director, AION Private Limited, said, “AION focuses on making every decision traceable and auditable, showing where the data came from, how reliable a forecast was, and what information was available when a decision was made. Simply put, AION is a technology and decision-intelligence company that helps Indian institutions make better, data-backed decisions while maintaining a clear record of the information and assumptions behind every decision.”
A power purchase bid, a renewable settlement bill or a flood alert may be challenged weeks or months after the event. AION keeps the record that answers the challenge, where each number came from, what the forecast said at the time it was issued, and how that forecast compared with what the grid, the river or the plant went on to record.
The platform runs on three rules:
Sourced. Every figure names the data feed it came from and how old it is. A value that is not available is shown as a dash, never as a zero.
Scored every day. Forecasts are stored exactly as issued and compared with measured outcomes.
Held back when beaten. When a simple baseline outperforms a model, the product uses the baseline and says so on screen.
India’s grid is scheduled in 96 blocks of 15 minutes each day. With more solar and wind on the system and electricity markets that clear at short intervals, a utility has to decide block by block whether to buy, sell or hold. AION’s power products are built around that day.
PowerGenie issues a buy, sell or hold plan for every 15-minute block of the next seven days, with quantities, rupee cost and deviation exposure. The plan is rebuilt three times a day, and an issued plan is never edited. A cross-state view covers 32 states and Union Territories.
REDSM runs forecasting, scheduling and deviation settlement for wind and solar in one system of record. Each charge is computed under the regulation in force on the date of the block, so a bill can be explained line by line months later.
RE-cast forecasts generation for individual solar and wind plants in 15-minute blocks, day ahead and intraday. It combines weather physics with a model trained on each plant’s own output, and exports the schedule in the format the state load dispatch centre accepts.
PowerIntel maps who owns which generating assets, who buys and sells power and who regulates, with the public source of every fact recorded.
FloodCast polls 200 Central Water Commission River gauges every hour and watches 746 Himalayan glacial lakes by satellite every day. Alerts come from measurements alone. Modelled forecasts reach the map only when they beat a simple baseline, and the two are always labelled apart.
ravens is a 3D map of the Earth operated by hand gesture, voice or keyboard. Any dataset an institution owns becomes a layer with its source and licence shown alongside. The gesture and speech models run inside the browser, so no audio or video leaves the device.
AION Rakshak forecasts the registration workload of each police station seven days ahead, starting from a state’s own published FIR data, and writes every override, surge alert and dispatch decision to a tamper-evident ledger. It forecasts workload for stations; it does not score, rank or predict individuals.
AI co-pilots are built into the power products and work from the same records the operators see. PowerGenie’s co-pilot answers questions in cited numbers. REDSM’s co-pilot can explain why a bill moved or which substation breached a cap and cites the rows it used.
Products can be deployed on the institution’s own infrastructure or on AION’s, with private data kept behind the institution’s own proxy. Plans are time-stamped when issued and never overwritten, and logs are hash-chained so that any later change is visible.
The platform is built on a simple principle: every important number should show its source. Deployments can run locally on institutional infrastructure or secure proxies, keeping sensitive data protected
AI agents are software systems that use AI to pursue goals and complete tasks on users’ behalf. They show reasoning, planning, and memory and have a level of autonomy to make decisions, learn, and adapt.
About AION
AION, a decision intelligence company, focuses on transparency, ensuring that every data point and forecast is traceable. Every number cites its original data feed, and logs are tamper-evident so you can audit historical decisions months later. The platform stores forecasts exactly as they are issued and continuously scores them against actual recorded outcomes (weather, grid load, river levels). If a simple baseline model outperforms a complex one, the system defaults to the baseline. For more information, please visit https://ai-on.agency.
