Physics-native AI for engineering, manufacturing, energy and mobility: from scientific data to foundation models to industrial platforms.
Most AI is built for language. We build for physics, across the full stack, from model to platform to people.
Foundation models pre-trained from scratch to reason over scientific and engineering domains, not wrappers around foreign models.
An AI-native R&D environment that accelerates simulation and turns industrial knowledge into a working asset.
The skilling and research OS for engineers and researchers: the talent layer powering the AI Hub Network.
Transforms industrial, academic and simulation data into validated assets for BrahmAI.
Data flows in through BrahmX, trains BrahmAI at the core, and powers every platform, for industry, institutions and citizens.
AI-native R&D for enterprises and manufacturing.
Talent & Research OS for institutions and industries.
Sovereign, on-device intelligence for everyday users.
Most AI companies can't say where their data comes from. We can. The AI Hub Network embeds ZenteiQ labs inside leading institutions: a sovereign engine for talent, data and collaboration.
Industry partners contribute real simulation and engineering data, and receive accelerated R&D and AI capability in return.
Researchers contribute domain and validation datasets through grants and co-authorship, strengthening the models and their own work.
Students gain AI-native skills, fellowships and direct hiring pathways, becoming the trained scientific AI workforce the ecosystem runs on.
Pre-trained from scratch on sovereign infrastructure to reason over the outputs of scientific and engineering systems. These are the domains we build for.
Heat transfer, cooling, dissipation and thermal performance.
Field behaviour, flux, losses, motors and electromagnetic design.
Material behaviour, property inference and microstructure-aware reasoning.
Stress, deformation, fatigue, vibration and finite-element outputs.
Securing national, industrial and critical digital systems.
Grounded in physics and numerical methods, not pattern-matching. Technical depth is available to partners under review.
Physics-native models trained on PDEs, simulations, sensor data and numerical systems.
Industrial and academic validation workflows for simulation acceleration and domain reliability.
Detailed architecture and benchmark materials available under NDA or partner review.
Two platforms put BrahmAI to work: one for industry, one for talent.
An AI-native R&D platform that accelerates simulation and turns engineering knowledge into a living, queryable asset.
Not an EdTech app: the skilling and research OS for the AI Hub Network, where students learn, faculty research, and AI talent is discovered.
While much of the market adapts general-purpose language models, ZenteiQ builds physics-native foundation models from scratch, on sovereign infrastructure, with an auditable supply chain.
That is the moat. A general-purpose app can be copied; a sovereign scientific foundation model with verifiable provenance cannot. We're building the AI infrastructure the world's engineering and national systems will depend on.
ZenteiQ brings together scientists, AI researchers, engineers, and product builders with a shared mission to transform frontier AI research into real-world engineering systems. Together, we are developing Scientific AI and foundation models that help industries design, simulate, optimize, and accelerate innovation.
Professor at the Indian Institute of Science (IISc), Bangalore, Prof. Ganesan founded ZenteiQ with a single vision: to build the world's Engineering Intelligence platform. Combining deep scientific foundations with frontier AI, ZenteiQ is creating sovereign AI infrastructure and foundation models for engineering, manufacturing, materials, healthcare, and scientific discovery.
Founder's Office
Officially selected and funded by the Ministry of Electronics & Information Technology to build India's sovereign scientific foundation models.
Collaborating in this DST-backed ecosystem to scale data pipelines and foundation engineering platforms.
Formally incubated for deep-science co-innovation and national R&D projects.
Industrial extension of the AI for Research & Engineering eXcellence Lab at IISc CDS.
Part of the global open-science consortium founded by Meta and IBM.





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