Oorja fuses physics with machine-learning for engineering analytics!
- ByBhawana Ojha
- 31 Aug, 2025
- 0 Comments
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Oorja Energy a Bengaluru deep-tech startup founded in 2022 combines physics-based modeling with machine learning to deliver faster, more accurate predictive analytics for engineering systems. Led by Vineet Dravid, along with co-founders Prajakta Sabnis and Prashant Kumar Srivastava, the team raised roughly $1.5 million in seed funding from Micelio, Axilor Ventures, Java Capital, and Anicut Ventures. Their initial focus: electric-vehicle batteries critical components costing up to half the vehicle’s price where predictive analytics can mitigate thermal runaway risks and enhance design efficiency.
Oorja’s hybrid approach overcomes the limits of standalone physics simulation, which is computationally heavy, and pure data-driven models, which require massive datasets. By merging both, Oorja produces high-fidelity simulations with minimal data and at much higher speeds. Their tools support battery performance tuning across conditions like temperature, charge cycles, and degradation offering OEMs downloadable, integrable analytics and soon, a low-code interface customizable to each engineering workflow.
Backed by global clients across India, the US, and Europe, Oorja aims to be the “Google for engineering analytics,” ushering in a more agile era of product design and innovation
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