BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping machine learning local to the chip, independent of the cloud, also dramatically reduces latency while improving privacy and data security. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet.

• Demand for AI enabled Edge and Internet of things (IOT) devices forecasted to grow at double-digit annual growth rates for the foreseeable future.
• Due to bandwidth, data security, latency and power constraints on edge devices, product demand will shift from cloud-dependent AI devices to solutions where data is captured on the device.
• Massive power consumption and emissions resulting from AI data centers will force a shift in AI processing from traditional cloud data centers to processing on the device. Akida’s cloud independence capabilities are uniquely suited to address these AI related infrastructure and sustainability issues.
• The Akida architecture is both scalable and flexible to and addresses the requirements for the vast and growing number of IoT and edge devices in consumer and industrial applications.
• MetaTF software makes adoption easy, automating conversion from traditional networks into immediately usable and efficient “spiking” networks.
• Marquee brands including Mercedes, Valeo, Vorago and NASA, as well as commercial IP licenses with Renesas and MegaChips.
• Commercial availability of semiconductor chips, IP, tools, and boards.
• Revenue model includes IP licensing, product sales & support, and high-margin royalty streams.

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