Sovereign decision silicon, at the inflection point.
Three forces are converging: machine learning is replacing rule-based systems, model compression has made edge inference viable, and power-efficient silicon has made deployment real. We are building for that moment.
$114B
Edge-AI accelerator market by 2034, compounding at 30.8% a year — with the AI-radar segment growing at 12%+ on its own.
$10B
2025
$38B
2030
$114B
2034
Closest to Helsing in mission, Groq in compute philosophy, Shield AI in deployment — the only one combining all three with sovereign silicon at the edge.
Groq
$20BDeterministic latency (LPU)
Cerebras
$22BWafer-scale compute
Helsing
$13.2BAI for autonomous defence
Shield AI
$5.3BGPS-denied autonomy
Tenstorrent
$2.7–3.2BRISC-V dataflow
d-Matrix
$2.0BDigital in-memory
Valuations as of 2026. In India, peers include Ola Krutrim ($1B+), Netrasemi ($74M), Agrani Labs (~$40–50M) and Mindgrove (~$26M).
12
Patents filed across four domains — on a roadmap to 100+ by December 2026.
Deterministic AI compute
AI-enabled radar systems
AI vision SoC · 500+ TOPS
Autonomous robotics & sensor fusion
A ~$15M pipeline before first silicon.
Around 30,000 chips across committed and prospective partners over the next 12–18 months, at roughly $500 average selling price.
Why take a peep — or a plunge
Partner in orchestrating a futuristic, AI-propelled era — one that thrives on the edge.
The next wave of computing will not be won in the data center. It will be decided at the edge — where machines must perceive, reason and act in real time, without waiting on a cloud that may never be there.
Edge eats the cloud.
CemanticaAI is building the silicon layer for that shift — sovereign, deterministic, and purpose-built for autonomous decision-making. This is an invitation to co-orchestrate that transition: not merely to fund a chip, but to help define the infrastructure of an AI-propelled era that thrives where it matters most.
2028–29
$3–5M
~10,000 units / yr
2030–31
$15–25M
~50,000 units / yr
2032+
$30–60M+
100,000+ units / yr