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§ Private Profile · Irvine, CA, USA
Syntiant is a technology company.
Syntiant develops low-power processors embedding artificial intelligence and deep learning directly into edge devices. Its technology enables efficient, always-on sensor applications by moving complex AI computation from the cloud. These proprietary processors significantly enhance performance, facilitating extensive tasks with lower power or faster processing for embedded systems.
Kurt Busch founded Syntiant in January 2017, envisioning AI at the device level, not solely in the cloud. A semiconductor veteran, Busch recognized the critical need for high-efficiency, always-on AI processing in embedded systems. This insight empowered devices with immediate, localized intelligence, expanding edge AI's potential.
Syntiant's products serve diverse applications demanding responsive, on-device intelligence, including voice interfaces in consumer electronics, automotive, and security. The company's mission is to make deep learning ubiquitous, an integral component of edge devices, fundamentally shifting computational intelligence distribution. It aims to be foundational to pervasive smart technology future.
Syntiant has raised $171.0M across 4 funding rounds.
Syntiant has raised $171.0M in total across 4 funding rounds.
Syntiant has raised $171.0M in total across 4 funding rounds.
Syntiant's investors include Jay Chong, Mirae Asset Capital, Sailesh Chittipeddi, Arrive, Atlantic Bridge University Fund, Bennu, Browder Capital, Flex Capital, Founder Collective, Gigascale Capital, Greylock, Horizon 3 Venture Studio.
Syntiant has raised $171.0M across 4 funding rounds. Most recently, it raised $55.0M Other Equity in March 2022.
Syntiant is a deep learning technology company specializing in ultra-low-power edge AI solutions, delivering Neural Decision Processors (NDPs), hardware-agnostic machine learning models, MEMS microphones, and vibration sensors for always-on applications in consumer electronics, automotive, industrial, and defense sectors.[1][2][3][5] It serves device manufacturers and developers by solving the challenge of running efficient deep learning on battery-powered edge devices, enabling real-time processing for audio, speech, sensors, vision, and more—from hearing aids to automobiles—with near-zero latency and microwatt power levels.[1][2][5] The company has shipped over 100 million processors and models, plus billions of sensors, raised $65 million in funding, and recently acquired Knowles' Consumer MEMS Microphones business to expand into turnkey edge AI solutions amid strong growth momentum.[2][3][5]
Founded in 2017 and headquartered in Irvine, California, Syntiant emerged from the vision of its co-founders, including CTO Jeremy Holleman, who addressed the pre-2017 limitation of confining AI to power-hungry cloud GPUs and CPUs.[1][2][3][4] The idea crystallized around custom silicon for edge devices: pioneers in deep learning recognized that always-on, battery-constrained hardware needed purpose-built Neural Decision Processors to enable feasible machine learning deployments.[1][2] Early traction came with flagship NDPs like NDP100 and NDP101 for microwatt voice processing, leading to tens of millions of deployments worldwide; pivotal moments include surpassing 100 million units shipped, the 2025 Knowles acquisition, and awards like "Tech Deal of the Year."[1][2][3]
Syntiant rides the edge AI megatrend, shifting computation from energy-intensive clouds to devices for privacy, latency, and efficiency amid exploding IoT, 5G, and always-on smart products.[1][5][6] Timing aligns with market forces like battery constraints in wearables/automotive, demand for on-device processing in defense/industrial, and post-2025 growth in sensor fusion—exemplified by their 100M+ deployments and Knowles deal unlocking billions more units.[3][5] They influence the ecosystem by democratizing edge ML (hardware-agnostic models accelerate adoption), powering sectors from smart homes to telematics, and setting benchmarks like MLPerf Tiny, fostering innovation in low-power AI interfaces.[2][3][4][5]
Syntiant's trajectory points to dominance in turnkey edge AI, with next steps including scaling post-Knowles integration for sensor-processor-software stacks and expanding into high-growth areas like automotive telematics and medical diagnostics.[3][4][5] Trends like MLPerf advancements, AI democratization on MCUs, and edge proliferation in defense/Industrial IoT will propel them, potentially driving deployments toward billions as power efficiency becomes table stakes.[2][3][5] Their influence may evolve from chip innovator to full-stack enabler, reshaping device interactions much like they redefined always-on AI from cloud impossibility to ubiquitous reality.[1]