Dimaag designs electric-vehicle powertrains (motors, inverters, battery modules, software) for off-road machinery and deploys AI-driven manufacturing optimization in ultra-high-volume environments—some applications exceed 200M units monthly. The tech stack reveals dual technical centers: embedded systems (SolidWorks, LabVIEW, MATLAB, PyTorch) for EV component design, and a modern AI/ML layer (LangChain, LlamaIndex, vector databases, OpenAI, Anthropic) built atop React for factory-floor visibility. Engineering-focused hiring (9 of 13 roles) skews senior, indicating deep domain work and production-readiness validation.
Founded in 2018 and based in Silicon Valley, Dimaag develops proprietary EV component ecosystems (ENCORE) for off-road vehicles and fast-charging solutions for both on-road and off-road fleets. The company partners with major OEM manufacturers to integrate swappable battery modules, motors, and power electronics into production vehicles. Separately, Dimaag operates an AI-driven smart-factory division that optimizes manufacturing workflows; current deployments handle extreme throughput demands. The organization spans offices in Fremont, California; Osaka, Japan; and Bangalore, India, with approximately 150+ employees.
ENCORE—a proprietary ecosystem of EV components (batteries, motors, inverters, power electronics, software) for off-road electric vehicles and charging systems, plus AI-powered manufacturing optimization deployed in high-volume production.
Embedded/mechanical: SolidWorks, MATLAB, LabVIEW, PyTorch. Frontend/AI: React, TypeScript, LangChain, LlamaIndex, vector databases (Pinecone, Qdrant, Weaviate), OpenAI, Anthropic. CI/CD: Jenkins, Git.
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