Built by people who have lived the problem.
CemanticaAI began with founders who met in the field, trained at India's foremost institutes, and served in the Indian Defence Forces — where they saw first-hand the gap between what autonomous systems need and what existing silicon delivers.
A gap in silicon, identified from inside the field.
The machines that protect and serve increasingly need to decide on their own — yet the chips available to them were designed for cloud throughput, not deterministic judgement at the edge.
CemanticaAI was founded to close that gap with purpose-built hardware: an inference engine where intelligence and reliability are designed in from the first transistor.
Providential convergence
Closing this gap demands more than conviction — it requires a providential convergence of the right minds and skills at the right moment. The team draws on practitioners at the very leading edge of the semiconductor industry: engineers who have architected and delivered multi-node silicon through tape-out and production, including designs at process nodes down to 2nm.
Field-hardened domain knowledge meets fab-grade execution. That is what turns a problem statement into a product roadmap — and a roadmap into silicon.
Tech solvers
Futuristic outlook, ahead of the silicon curve.
26 years
Semiconductor architect and deep-tech innovator spanning memory design, standard-cell development, custom AI circuits, and advanced process technologies — delivering high-performance, production-ready silicon across generations of computing platforms.
15 years
Semiconductor architect and deep-tech innovator spanning AI accelerators, GPU architecture, custom silicon design, and hardware–software co-design — transforming advanced machine learning workloads into power-efficient, production-grade computing platforms.
Indo-American strategy
A dual-geography model — sovereign engineering and partnerships rooted in India, with access to global talent, capital and the semiconductor supply chain across the United States.
From validated architecture to the frontier nodes.
FPGA
Architecture validated with end-to-end inference.
12nm
First production silicon for early platforms.
7nm
Performance and efficiency at scale.
3nm
Frontier nodes for the most demanding autonomy.
A decision-compute company, not a single chip.
Agentic AI systems
Hardware that runs goal-directed agents on-device — sensing, reasoning and acting without a round trip to the cloud.
Migration platforms
A path that lets existing defence and industrial systems adopt AI-native compute without rebuilding from zero.
End-to-end stack
From the instruction set to the toolchain to the silicon — owned, sovereign and built to compound.