Summary
AIStorm announced earlier this week that it secured over $13 million in a Series A financing round to bring real-time AI-in-sensor technology to the very hard edge of the IoT, enabling devices like handsets, wearables, and vehicles to process AI tasks at a fraction of the cost of GPU-based solutions. The funding, led by investors such as Egis Technology and TowerJazz, will accelerate the company’s go-to-market efforts for its analog, charge-domain AI processors, which promise 5–10× cost savings without performance compromise.
Why it matters
Coverage in IoT Evolution World—a premier resource for industrial and enterprise IoT professionals—highlights AIStorm’s pioneering role in mobile-edge AI, validating its charge-domain approach for low-power, high-throughput in-sensor processing. For hardware engineers and OEM designers, this means access to sub–10 µW neural processing directly in-sensor, reducing system complexity and power budgets; for strategic partners and system integrators, it signals broad applicability across IoT, wearables, automotive, and AR/VR markets.
Read the full article
AIStorm Goes After Mobile Edge Computing with $13 Million Financing Round
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