Syntiant Corp.
@Syntiantcorp
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The recognized leader in low-power edge AI deployment.
Irvine, CA
Joined April 2018
Our new edge-optimized Vision Transformer (ViT) is built for national security missions that demand low-power, real-time image analysis in SWaP-constrained environments. Proud to advance mission-critical edge AI and to deepen our partnership with In-Q-Tel, accelerating next-gen
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Join us November 11–12 at EDGE AI Taipei 2025. Hosted by the Edge AI Foundation, the event brings together innovators, executives and researchers for hands-on demos, workshops, panels and keynotes from some of the leading experts in #edgeAI. We’ll be showcasing our latest
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Here this week at the Hong Kong Electronics Fair hosted by @hktdc. The Electronics Fair (Autumn Edition) and #electronicAsia bring together more than 3,200 exhibitors from 20 countries and regions to showcase the latest electronic products and technological solutions. Register
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NEW PRODUCT ALERT! Developed using our #NDP100 and Positioning Universal's advanced acoustic sensors and software, the all-new TM94 delivers real-time sound sensing at ultra-low power, expanding telematics from passive tracking to active environmental awareness, all without
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Here at @thebatteryshow with our partner, Eatron. Visit us at Eatron’s booth (UK Pavilion, Booth 3222) for a demo of the new 48V AI-BMS with our embedded hardware, enabling faster development cycles, advanced diagnostics and smarter optimization. #batterymanagement
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🏆 Excited to share we won "Deal of the Year" at the High Tech Awards hosted by @OctaneOC! This honors our strategic acquisition of Knowles’ Consumer MEMS Microphone business. Big congrats to CEO Kurt Busch & team for accepting the award! https://t.co/HlPorsCkSy
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Save the Date! We’re joining Eatron Technologies at @thebatteryshow in Detroit. Discover how our joint solution is redefining battery intelligence. Running on our NDP120, this AI-powered Battery Management System on Chip (AI-BMS-on-chip) delivers highly accurate #SOC, #SOH,
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🚀 Join us Oct. 1 in Mountain View, CA with @EdgeImpulse (a @Qualcomm company) at #Imagine2025 to explore: ✅ Real-world deployments ✅ Hands-on demos & workshops ✅ The future of development 🎥 Attend in person or tune into the livestream (10am PT) 👉 https://t.co/6jsHjXHgGj
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🚀 The results are in! Syntiant’s #NDP120 leads @MLCommons' @MLPerf Tiny v1.3 with sub-milliwatt power + ms latency across modes: 🫠 30.7 MHz → 0.51 mW | 31.5 µJ/inference 🫠 49.2 MHz → 0.70 mW | 4.37 µJ/inference 🫠 98.7 MHz → 1.48 mW | 43.8 µJ/inference ⚡ That’s 10–100×
mlcommons.org
New data reveals advances in tiny neural network performance
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Syntiant Brings Real-Time Sensor AI to Avnet Technology Showcase on Sept. 9 in Minneapolis. Click link below to learn more and register for next week's showcase, where we'll be: 🎆Leading a workshop session titled, "Advanced Signal Processing: Leveraging NPUs for Real-Time
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Once seen as a mature, commodity-driven sector, #MEMS sensors are now at the heart of #AI, automotive safety and IoT innovations, according to an analysis from @WoodsideCapital published by the @edgeaivision. Strategic moves, like STMicroelectronics’ $950M acquisition of
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Did you know? On average, people spend about two weeks of their lives searching for lost remote controls. No kidding. With Syntiant’s #edgeAI voice technology, you can skip the search. Our always-on, voice control is built directly into TV remotes, so you can simply say “Find my
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Victory in future conflicts will go to the side that can think and act the fastest. In our latest blog, Ethan Wais, director of product management & GM of federal, explores how #edgeAI empowers U.S. warfighters to make split-second decisions when it matters most, even in the face
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Check out our latest blog by CEO Kurt Busch on how #edgeAI is enabling faster, more private, energy-efficient and intuitive interactions between humans and machines. https://t.co/efIFw9jcSI
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If you missed "From tinyML to Edge AI: Powering Real-World Intelligence" at @SensorsConverge 2025, then click the link below for a replay. https://t.co/UvfkenueMY Moderated by Michael Kuptz of the Edge AI Foundation, this panel featured leading voices in edge computing and AI
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