Forecasting errors are costly
Poor generation forecasting costs IPPs 6-8% of annual revenue in DSM penalties every year.
We fuse satellite earth-observation with deep learning to forecast demand, map grid assets, and reduce operational risk, in live systems.
Poor generation forecasting costs IPPs 6-8% of annual revenue in DSM penalties every year.
4-5 million DISCOM assets, poles, lines and transformers, remain unmapped, and rooftop solar has zero SCADA visibility across roughly 23 GW.
National AT&C losses sit near 15%, two to three times the 5-8% global benchmark, and transmission losses alone cost ₹120 billion a year.
Nearly 10 GW of renewable generation is curtailed every day in Rajasthan and Gujarat because the grid can't absorb it fast enough.
Solar and wind output forecast in sub-15-minute intervals by fusing satellite imagery, sky-camera feeds and SCADA data, validated at 94% accuracy across gigawatt-scale sites.
Satellite and drone LiDAR map the transmission backbone and the 4-5 million distribution assets, poles, lines, transformers, that most DISCOMs still track in spreadsheets.
A four-layer platform, asset mapping, system integration, AI intelligence and enterprise reporting, that unifies 30-40 disconnected DISCOM systems into one data lake, with a validated 10x return on investment.
BESS charge and discharge decisions plus DAM, RTM and Green Market bid waterfalls, cutting DSM penalties by roughly 50% for live clients including ReNew Power, Serentica, Sembcorp and Resolven.
Empower renewable planning with predictive analytics.
Monitor and optimize grid stability with remote sensing.
Enable demand-side intelligence and efficiency.
Headquartered at the IIT Delhi Research & Innovation Park, BioSky works with utilities and developers to turn orbital data into operational decisions.
Point world-class AI at one of the hardest, most consequential problems on the planet. Engineers, scientists and builders, come help keep the lights on.
Backed by SIDBI, FITT IIT Delhi, Microsoft Unnati Program, IN-SPACe, ANRF