Summary
AIStorm entered the market with a $13.2 M Series A round, launching its charge-domain AI-in-sensor approach to process neural-network tasks at the signal level—claiming devices delivering 2.5 TOPS and 11.1 TOPS/W in a 7×7 mm form factor and sampling 65 nm silicon AFEs by year-end. David Schie, CEO and co-founder, emphasized that eliminating GPUs at the edge in favor of in-sensor processing enables equivalent performance at lower power using mature process technologies.
Why it matters
Coverage in EE Times—a cornerstone publication for electronics design—highlights AIStorm’s early innovation in sensor-level neural processing, validating our technical roadmap and signaling investor confidence EE Times. For hardware engineers, it showcases reference designs and silicon proven at industry-standard nodes; for strategic partners and early adopters, it demonstrates the commercial viability of charge-domain AI as a power-efficient alternative to GPU-centric edge computing.
Read the full article
Startup Accelerates AI at the Sensor
Next steps
- Review our Solutions page for technical briefs and silicon demos.
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