edge-ai
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The Dashcam That Wants to Give a City Eyes
NAYAN’s cameras ride buses, police vehicles and commercial fleets, turning ordinary journeys into a live index of potholes, violations and risky driving. The clever part is not the lens - it is the workflow that turns street footage into evidence someone can act on.
Qualcomm gets paid for the chip. And the idea inside it.
The company behind Snapdragon built a business selling silicon and licensing wireless inventions. Its next test is carrying the economics of the smartphone into cars, PCs and industrial AI.
Hanwha Vision Europe wants your cameras to earn their keep
A warehouse conveyor, an airport checkout and a Finnish substation explain Hanwha Vision Europe’s bet: cameras become more useful when they help people act on what they see.
Gorilla Technology’s Next AI Act Comes With a Bigger Bill
Gorilla made its name teaching cameras to spot trouble. Its next act is financing and deploying AI compute across Asia - a bigger business with a much bigger bill.
The AI That Watches the Moment - Not the Person
Intent HQ sells large companies a sharper sense of when customers are ready to act. Its wager is that relevance can improve without turning privacy into collateral damage.
The Software Company You Notice Only When Everything Goes Wrong
Wind River put an operating system on Mars, watched it stumble, and helped patch it from Earth. Four decades later, its business still rests on the same promise: make complicated machines behave when the deadline is literal.
CEVA Sells the Part of the Chip You Never See - and Gets Paid Again Every Time It Ships
CEVA is the rare semiconductor company that does not need to manufacture a chip to collect from billions of them. Its bet is simple: as intelligence moves out of the cloud, the best tollbooth may be a small, power-efficient block of reusable silicon IP.
Chooch Taught Cameras to Count - Now It Wants to Run the Hospital Supply Room
The decade-old vision-AI company has traded a sprawling menu of use cases for a sharper bet: hospital shelves that count themselves. The prize is fewer stockouts and less waste; the catch is that cameras, integrations and local reality still have to cooperate.
The Startup That Turns Drone Photos of Cell Towers Into Money
Anne Zink built a company that lets you inspect a 300-foot cell tower without climbing it. The trick isn't the drone - it's what happens to the pictures after they land.
The Startup Teaching Cameras to Catch What Tired Human Eyes Miss on the Assembly Line
Akridata spent years fixing AI's boring, expensive data problem - then pointed the same tools at factory defects and got acquired by DIMAAG in 2026.
Azion
Azion wants to make the edge feel less like a map of servers and more like a programmable workbench. Its bet: the next important application will be built, secured and observed closer to the people using it.
Automaton AI Infosystem Pvt. Ltd.
Automaton AI is betting that enterprise AI will be won in the unglamorous stretch between a promising model and a system that survives production. Its answer is ADVIT Studio - a self-hosted workspace built to keep data, training, deployment and oversight under one roof.
ArcSoft
ArcSoft spent three decades teaching cameras to do more than record a scene. Now its code improves phone photos, reads the cabin and helps cars understand the road - usually without the person using it ever seeing the name.
Cactus
Cactus is a cross-platform, open-source AI inference engine built in C/C++ to run language, speech, and vision models directly on smartphones, laptops, wearables, and other low-power edge hardware. It gives mobile developers Flutter, React Native, Kotlin, and Swift SDKs to deploy quantized models on-device - cutting latency to under 100ms, keeping data private, working offline, and avoiding cloud API bills - with automatic cloud fallback for heavier tasks. A YC Summer 2025 company, Cactus already powers production apps serving 500,000+ weekly inference tasks.
Exla
Exla (YC W25) is a San Francisco startup building Libra, an AI site-reliability engineer that watches production logs, traces and deploys around the clock. When something breaks, Libra detects the failure, finds the deploy that caused it, opens a fix pull request with a regression test, and verifies recovery in production - so engineers do not have to wake up at 3am. The company began as an SDK for running large transformer models on edge devices and pivoted to autonomous incident response.
General Instinct
General Instinct is a Y Combinator (Spring 2026) startup building inference infrastructure for physical AI. Its software distills, quantizes, and deploys large frontier models onto resource-constrained edge hardware - drones, robots, IoT devices, and old PCs - fully offline. The flagship product, Instinct Edge, takes a model, a target device, and a latency budget and returns an optimized offline runtime that hits that budget on hardware like Jetson, mobile NPUs, ARM CPUs, and Apple Neural Engine. The company also ships an open-source compression toolkit, InstinctRazor.
Tiliter
Tiliter is a Sydney-based computer-vision company that turns ordinary camera images into structured operational data. It began by solving product recognition at retail scale - identifying fresh produce and unbarcoded goods at self-checkout with high accuracy and no stickers - and has since expanded into a broader platform of AI 'Vision Agents' for verification, inspection, counting, damage detection, OCR and cleanliness auditing across retail, logistics, manufacturing, healthcare and industrial operations.
Bulzi, Inc.
Bulzi, Inc. (styled Bulzī, pronounced 'bulls-eye') is a dual-use technology company that uses edge-AI and Internet of Things (IoT) sensors to deliver situational awareness, security, and safety solutions. Originally built to measure out-of-home advertising audiences by passively detecting nearby mobile devices, Bulzi adapted its RF-sensing platform for defense and public-safety missions with roughly $2M in SBIR funding from the U.S. Air Force and Army. Its products span passive C5ISR sensing (SAFER), base access control (z-BASE), and medical-grade vital-signs monitoring (BioSCOUT), serving warfighters and first responders alongside commercial advertising customers.
Distributed Spectrum
Distributed Spectrum builds AI-powered radio-frequency sensors and software that automatically detect, classify, and locate signals - drones, jammers, tactical radios, GPS spoofers - in real time. Founded by three Harvard engineers, the company packs commercial hardware and edge AI into sub-one-pound sensors that give soldiers and analysts persistent spectrum awareness without specialist RF expertise. It raised a $25M Series A in March 2025 and has fielded systems with US military branches and partners in Ukraine.
EdgeTensor
EdgeTensor is a Dallas, Texas-based deep-tech company building Gen AI-powered video telematics and fleet-management software that runs at the edge and in the cloud. Founded in 2017 by computer-vision researchers Rajesh Narasimha and Soumitry Ray, the company makes AI affordable and scalable on low-cost cameras and embedded chips, turning raw dashcam and in-cabin video into structured safety, compliance and risk insights. Its hardware- and sensor-agnostic platform serves fleets, telematics service providers, automotive Tier-1s/OEMs and insurers who want driver-safety analytics without being locked to a single device vendor.
Liquid AI
Liquid AI is an MIT CSAIL spinout building Liquid Foundation Models (LFMs), a family of general-purpose AI models engineered to run fast and privately on-device - phones, laptops, wearables, and cars - instead of relying on the cloud. Rooted in the founders' 'liquid neural network' research inspired by the nervous system of a roundworm, the company pairs a first-principles model architecture with LEAP, a developer platform that deploys models into mobile apps in a few lines of code, and Apollo, a fully local AI chat app. It raised a $250M Series A led by AMD in December 2024 at a roughly $2.35B valuation.
Oxipital AI
Oxipital AI is a Bedford, Massachusetts company building AI-enabled machine vision systems for food processing, agriculture and consumer-goods manufacturing. Emerging in 2024 from the rebrand of Soft Robotics after that company sold its gripper hardware line to Schmalz, Oxipital AI now centers on its V-CORTX vision platform and VX2 hardware, which use synthetic data and computer vision to handle quality inspection, foreign-object detection, yield optimization and vision-guided robotic picking in high-variability production lines.
webAI
webAI is an Austin-based sovereign AI company that lets enterprises build, train, and run custom AI models on their own local hardware instead of the cloud. Founded in 2019 by David Stout, Ethan Baird, and Tyler Mauer, its end-to-end platform - spanning the Navigator development environment, the Companion assistant, and webFrame clustering software for Apple silicon - keeps sensitive data on-device while delivering cloud-grade intelligence. The company reached a reported $2.5 billion valuation in early 2026 and serves customers across healthcare, retail, logistics, and aviation.
XMOS
XMOS is a fabless semiconductor company based in Bristol, UK, that designs the XCORE family of multicore, deterministic processors for embedded voice, audio, AI and control at the edge. Founded in 2005 by a team rooted in the University of Bristol and Inmos transputer heritage, XMOS built its name on far-field voice processing (VocalFusion, the first far-field solution qualified for Amazon Alexa) and now positions XCORE as a 'Generative System-on-Chip' (GenSoC) - silicon whose behaviour can be described in natural language while guaranteeing real-time, deterministic performance.
DataPattern
DataPattern is a San Ramon, California based IT services and consulting firm founded in 2019 that helps regulated and data-heavy enterprises move from legacy systems to modern data, AI and IoT platforms. Its teams build data engineering pipelines, generative AI and machine learning solutions, IoT use cases, cloud migrations and DevOps/MLOps practices, with a stated emphasis on data governance, quality and lineage as the foundation for reliable AI. The company works across manufacturing, healthcare, finance and energy, positioning itself as a hands-on transformation partner rather than a single-product vendor.
Excelfore Corporation
Excelfore Corporation is a Fremont, California software company that builds the connectivity layer for software-defined vehicles. Its flagship eSync platform delivers secure over-the-air (OTA) updates and bi-directional data pipelines between the cloud and every electronic control unit inside a vehicle, while its in-vehicle networking stacks (Automotive Ethernet, TSN/AVB) and eDatX data-aggregation and edge-AI products round out an end-to-end cloud-to-edge toolkit. Founded by the brothers behind MARGI Systems, Excelfore helped create the industry-wide eSync Alliance and today has technology deployed across more than 17 million vehicles worldwide.
Fingermark
Fingermark is a New Zealand technology company that builds purpose-built AI, computer vision, and digital signage for quick-service restaurants. Its platform turns existing store cameras into operational intelligence (Eyecue), powers self-service ordering kiosks (Supersonic), and centrally manages digital menu boards (Supernova) - helping global chains like McDonald's, KFC and Yum! Brands serve customers faster and lift order accuracy and value.
Huddly
Huddly is an Oslo-based company that builds AI-powered conference cameras for hybrid meeting rooms. By running computer-vision neural networks directly on the camera (edge AI), Huddly devices automatically frame speakers, switch angles like a TV director, and improve over time through software updates. Its products work with Microsoft Teams, Zoom and Google Meet, and range from the single wide-angle IQ to the L1 and S1 and the multi-camera Huddly Crew system marketed as the world's first AI director. Founded in 2013, Huddly listed on Euronext Growth Oslo in December 2023.
IntelliVision
IntelliVision is a San Jose-based developer of AI and deep-learning video and audio analytics software for smart cameras. Founded in 2002, its software runs on the edge, on-server and in the cloud to power face detection and recognition, license plate recognition, object detection and classification, intrusion detection, and driver-assistance (ADAS/DMS) systems. Sold primarily to camera makers (ODMs), chipset vendors, security integrators and OEMs, its analytics have shipped in millions of cameras across smart home, smart city, retail, banking/ATM, transportation and automotive markets. The company was acquired by Nortek Security & Control in 2018 and now operates as part of Nice.
Lantronix
Lantronix is an Irvine, California-based global provider of secure IoT and remote environment management solutions that combine intelligent hardware, connectivity, software-as-a-service and engineering services. Founded in 1989 and publicly traded on Nasdaq as LTRX, the company builds device servers, IoT gateways, cellular routers, console servers and PoE switches, paired with cloud management platforms like Percepxion and ConsoleFlow, to help organizations connect, compute, comprehend and control equipment at the edge across automotive, industrial, smart city, defense and enterprise IT markets.