Forecasting is getting harder
Extreme weather, EVs and rooftop solar make demand and generation harder to predict than ever.
We fuse satellite earth-observation with deep learning to forecast demand, map grid assets, and reduce operational risk, in live systems.
Extreme weather, EVs and rooftop solar make demand and generation harder to predict than ever.
Ageing assets spread across vast terrain create blind spots no ground team can cover.
Operators run on partial, noisy data, reacting to failures instead of preventing them.
There's no way to explore enough possible futures to catch risk before customers feel it.
Model electricity demand and renewable generation across time horizons, fusing orbital weather signals with grid data to capture the volatility legacy methods miss.
Map grid assets, rooftop solar and vegetation from orbit, revealing the blind spots across the distribution network that ground crews never reach.
Move beyond static models by learning how stress propagates across the network, even when measurements are noisy or incomplete.
Test thousands of possible grid futures, from storms to cascading outages, to identify risk and failure modes before they occur.
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