• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

AIStorm Raises $13.2M to Bring Real-Time AI-in-Sensor Technology to the Edge at a Fraction of the Cost

February 11, 2019 By admin Leave a Comment

AIStorm, an innovator of high-performance AI-in-sensor processors, has closed $13.2 million in Series A financing from Egis Technology Inc., a major biometrics supplier to handsets, gaming, and advanced driver-assistance systems (ADAS); TowerJazz, the global specialty foundry leader that specializes in image sensors for commercial, industrial, AR, and medical markets; Meyer Corporation, a world leader in food preparation equipment; and Linear Dimensions Semiconductor Inc., a leader in biometric authentication and digital health products.

Team of experienced semiconductor executives, backed by leading sensor and equipment manufacturers, aims to equip the next generation of handsets, IoT devices, wearables, and vehicles with a new approach to AI processing at the edge; compared with edge GPU solutions, AIStorm’s technology boosts performance while lowering power requirements and system cost

“This investment will help us accelerate our engineering & go-to-market efforts to bring a new type of machine learning to the edge. AIStorm’s revolutionary approach allows implementation of edge solutions in lower-cost analog technologies. The result is a cost savings of five to ten times compared to GPUs — without any compromise in performance,” said David Schie, CEO of AIStorm.

Using sensor data directly—without digitization—enables real-time processing at the edge

The semiconductor industry is striving to process sensor information at the edge to reduce the cost and security risk associated with transmitting large amounts of raw data from edge sensors. AI systems require information be available in digital form before they can process data, but sensor data is analog. Processing this digital information requires advanced and costly GPUs that are not suitable for mobile devices: they require continuous digitization of input data, which consumes significant power and introduces unavoidable digitization delay (latency). AIStorm aims to solve these problems by processing sensor data directly in its native analog form, in real time.

“The reaction time saved by AIStorm’s approach can mean the difference between an advanced driver-assistance system detecting an object and safely stopping versus a lethal collision,” said Russell Ellwanger, CEO of TowerJazz.

“Edge applications must process huge amounts of data generated by sensors. Digitizing that data takes time, which means that these applications don’t have time to intelligently select data from the sensor data stream, and instead have to collect volumes of data and process it later. For the first time, AIStorm’s approach allows us to intelligently prune data from the sensor stream in real time and keep up with the massive sensor input tasks,” said Todd Lin, COO of Egis Technology Inc.

“It makes sense to combine the AI processing with the imager and skip the costly digitization process. For our customers, this will open up new possibilities in smart, event-driven operation and high-speed processing at the edge,” said Dr. Avi Strum, SVP/GM of the sensors business unit of TowerJazz.

AIStorm’s management includes CEO David Schie, a former senior executive at Maxim, Micrel and Semtech; CFO Robert Barker, formerly with Micrel and WSI; Andreas Sibrai, formerly with Maxim and Toshiba; and Cesar Matias, founder of ARM’s Budapest design center.

About AIStorm
AIStorm is the pioneer and leader in AI-in-Sensor processing, which eliminates the latency, power and cost associated with digital GPU-based implementations at the edge. AIStorm is headquartered in Silicon Valley, with offices in Phoenix & Graz, Austria. The team includes industry veterans responsible for development of thousands of products, as well as for P&L and significant revenue growth at leading semiconductor companies. For more information, visit https://aistorm.ai.

Filed Under: Tech

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Footer

Recent Posts

  • The Humanoid Trap: Form Factor as Distraction in Industrial Robotics
  • Hark Raises $700M Series A at $6B: The Vertical Integration Bet on Personal AI
  • Apple Brings Apple Intelligence to Accessibility, Adds Wheelchair Eye Control for Vision Pro
  • RADAR Raises $170M to Bring Real-Time Inventory Intelligence to Physical Retail
  • Anthropic’s Stainless Acquisition Is an Infrastructure Seizure Disguised as a Developer Tools Deal
  • Blackstone and Google Are Building an AI Infrastructure Giant Outside the Traditional Cloud Model
  • Mind Robotics Crosses $1B in Total Funding; Rivian Is the Quiet Disclosure
  • Quantum Motion Raises $160 Million Series C to Scale Silicon-Based Quantum Computing
  • Fazeshift Raises $17 Million Series A to Automate Accounts Receivable With Autonomous AI Agents
  • Instant Power Becomes the Next AI Infrastructure Battleground as Nyobolt Raises $60 Million

Media Partners

  • Market Analysis
  • Cybersecurity Market
  • App Coding
Quantum Computing Stocks Face Violent Selloff the Moment Markets Reopen Tuesday
The $2.6 Trillion Signal: What Gartner’s AI Spending Forecast Actually Tells You
The Productivity Is Already Here. The Bubble Narrative Is Not.
The Collingridge Dilemma
Why Memory Prices Won’t Come Down
The Bill Comes Due
The Software-Defined Camera Won. The Open OS Did Not.
Cars Are Computers Now, and Most Carmakers Aren’t
Gartner: Global IT Spending to Hit $6.31 Trillion in 2026, Driven by AI Infrastructure
The SDK Generator Benchmarks: Infrastructure vs. Convenience
IdentityTheft.org Sells for $30,000 on Sedo
Infosecurity Europe 2026, June 2–4, London
Ocean Launches From Stealth With $28 Million to Reinvent Email Security Using AI Agents
Salt Typhoon, Volt Typhoon, Flax Typhoon: China’s 2024 Campaign Against U.S. Infrastructure
Foreign Criminal Cyberattacks Against the United States: Ransomware, Botnets, and Financial Fraud
Iran’s Cyber Operations: Infrastructure Attacks, Election Interference, and IRGC Proxies
North Korea’s Cyber Program: From Sony to Blockchain Theft
Russia’s State Cyber Operations: From SolarWinds to Logistics Warfare
China’s Cyber Campaigns Against the United States: Two Decades of Documented Operations
How the U.S. Government Attributes Cyberattacks — and Why It Is Harder Than It Looks
DigitalOcean Launches AI-Native Cloud at Deploy 2026
Verdent Updates AI Platform to Function as a Full Engineering Team for Solo Builders
The Side Project App Is Not Dead. The Side Project App Business Is.
The App Monetization Landscape Has Changed and Most Teams Have Not Caught Up
Building Offline-First Mobile Apps Is Harder Than It Looks and Worth It
State Management in React Native Has Too Many Options and One Right Answer
Mobile Accessibility Is the Case Developers Keep Ignoring
Testing Mobile Apps at Scale Without Losing Your Mind
App Store Optimization in 2026 Is a Different Game Than It Was
Cross-Platform vs Native: The Honest Assessment Nobody Gives You

Media Partners

  • Market Research Media
  • Technology Conferences
  • API Coding
Tuesday Open: AI Earnings Engine Holds the Line as Iran Overhang Fades to Noise
China’s U.S. Treasury Holdings: The Great Repositioning (2021–2025)
Infographic: Why the 2025 CIPA Data Proves the APS-C Renaissance is Real
How WiFi Changed Media
Canva Acquires Simtheory and Ortto to Build End-to-End Work Platform
Netflix Price Hikes, The Economics of Dominance in a Saturated Streaming Market
America’s Brands Keep Winning Even as America Itself Slips
Kioxia’s Storage Gambit: Flash Steps Into the AI Memory Hierarchy
Mamdani Strangling New York
The Rise of Faceless Creators: Picsart Launches Persona and Storyline for AI Character-Driven Content
Baird 2026 Global Consumer, Technology & Services Conference, June 2–4, New York
D.A. Davidson Technology Conference, June 11, 2026, Nashville
Bank of America Global Technology Conference, June 4, 2026, San Francisco
William Blair Growth Stock Conference, June 3, 2026, Chicago
TD Cowen Technology, Media & Telecom Conference, May 27, 2026, New York
J.P. Morgan Global Technology, Media and Communications Conference, May 18–20, 2026, Boston
Technology Investor Conference Circuit, May–June 2026
Automate 2026 Sets Its Agenda Around AI’s Role in Industrial Transformation, June 22–25, 2026, McCormick Place in Chicago
IBM Think 2026, May 5–8, Boston, Massachusetts, USA
AI & Creativity Summit New York 2026, May 14, The Lighthouse Brooklyn
Why Private Domain Data Is the Real Key to AI That Actually Works
Orkes Raises $60M to Bring Production-Grade AI Orchestration to Enterprise Developers
Form.io Launches MCP Server and Agentic Coding Toolset for Governed Enterprise AI Development
Appdome Upgrades MobileBOT Defense With Identity-First Mobile API Protection
Five SDK Generators Compared: Speakeasy, Stainless, Fern, APIMatic, and OpenAPI Generator
API Monetization Models That Work and the Ones That Drive Developers Away
gRPC in Production: What the Documentation Doesn't Tell You
Event-Driven Architecture vs Request-Response: Choosing the Right Communication Pattern
The Business Case for Internal APIs That Most Engineering Leaders Ignore
Breaking Changes: How to Avoid Shipping Them and What to Do When You Must

Copyright © 2026 Technologies.org

Media Partners: Market Analysis · Market Research · Referently · Photography