• 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

AEye’s $40M Series B Includes Numerous Automotive Leaders Including SUBARU, Hella, LG, and SK

December 20, 2018 By admin

Strategic Automotive Investors Support AEye’s iDAR™ Technology Approach in Addressing the Perception Needs of Both ADAS and Mobility Markets

AEye, a world leader in artificial perception systems and the developer of iDAR™, today announced the second close of its Series B financing, bringing the company’s total funding to over $60 million. AEye Series B included global automotive OEM, Tier 1 and Tier 2 strategic investors Hella Ventures, SUBARU-SBI Innovation Fund, LG Electronics, and SK Hynix. AEye previously announced that the round was led by Taiwania Capital along with existing investors Kleiner Perkins, Intel Capital, Airbus Ventures, R7 Partners, and an undisclosed OEM. Series B will be used to scale AEye’s operations to meet global demand for its artificial perception systems for both ADAS and Mobility solutions.

AEye takes a disruptive approach to vehicle perception by putting intelligence at the sensor layer and making it extensible and controllable via a software-driven architecture. AEye’s iDAR is the first and only perception system that can easily scale from modular ADAS solutions to complete 360-degree vision for Mobility applications. iDAR physically fuses the industry’s only 1550nm, solid-state, agile LiDAR with a hi-resolution camera to create a new data type called Dynamic Vixels. This real-time integration occurs in the IDAR sensor, rather than post fusing separate camera and LiDAR data after the scan. By capturing both geometric and true color (x,y,z and r,g,b) data, Dynamic Vixels uniquely mimic the data structure of the human visual cortex, capturing better data for vastly superior performance and accuracy.

“This funding marks an inflection point for AEye, as we scale our staff, partnerships and investments to align with our customers’ roadmap to commercialization,” said Luis Dussan, AEye founder and CEO. “The support we have received from major players in the automotive industry validates that we are taking the right approach to addressing the challenges of artificial perception. Their confidence in AEye and iDAR will be borne out by the automotive specific products we’ll be bringing to market at scale in Q2 of 2019. These products will help OEMs and Tier 1s accelerate their products and services by delivering market leading performance at the lowest cost.”

“The AEye investment aligns perfectly with SUBARU’s aim to invest in leading-edge technology to advance our assisted and autonomous driving efforts,” said Itaru Ueda, Manager of SUBARU-SBI Innovation Fund. “AEye is a front-runner in developing accurate, low-latency, low cost perception systems, and we anticipate great synergy in working with AEye towards safe, reliable vehicle autonomy.”

Built on a robust and rapidly-growing patent portfolio, AEye’s iDAR recently set a new benchmark for solid state LiDAR range. In performance tests validated by VSI Labs, iDAR acquired and tracked targets at more than 1000 meters and at scan rates exceeding 100 Hz – a major breakthrough in speed and long-range threat detection.

AEye has also recently announced the appointment of Blair LaCorte as president. An accomplished executive and strategist, LaCorte brings extensive leadership experience to the company as it scales global operations.

For more information about AEye and its innovative approach to artificial perception, please visit www.aeye.ai or come see us at CES booth #2100 at the Westgate Convention Center, Las Vegas.

About AEye
AEye is an artificial perception pioneer and creator of iDAR™, a perception system that acts as the eyes and visual cortex of autonomous vehicles. Since its demonstration of its solid-state LiDAR scanner in 2013, AEye has pioneered breakthroughs in intelligent sensing. The company is based in the San Francisco Bay Area, and backed by world-renowned investors including Kleiner Perkins Caufield & Byers, Taiwania Capital, Intel Capital, Airbus Ventures, Hella Ventures, LG Electronics, SK Hynix, and Subaru-SBI Innovation Fund. For more information, please visit www.aeye.ai.

Filed Under: Tech

Footer

Recent Posts

  • Adobe MAX 2026 Opens Photoshop and Premiere to Outside AI Agents and Deepens Its Google Partnership
  • Zendesk Launches Outcome AI Platform and Drops Seat Limits From New Plans
  • Otto One Is a $599 Screenless Computer Built for an AI Agent to Live On
  • PuppyGraph Raises $10 Million Series A to Let AI Agents Query Thousands of Tables as a Graph
  • Lumbra Raises $25 Million to Take AI Agents From Top-Secret Networks to Regulated Industries
  • Graphon Labs Raises $35 Million Series A to Give AI Agents Memory That Persists
  • Bay Exits Stealth With $50 Million to Check Every AI Agent Action Before It Runs
  • Path Robotics Raises $300 Million at $2.45 Billion to Take Its Welding AI Beyond Welding
  • Mercor Raises $750 Million at a $20 Billion Valuation to Sell AI Evaluation to Every Enterprise
  • TI Lets AI Agents Write, Build and Debug Code in CCStudio as Expedera Pairs Its NPU With Cadence and EV Group Pitches Packaging for Qubits

Media Partners

  • Market Analysis
  • BareProxy.com
  • App Coding
Marvell vs Lumentum, Which AI Infrastructure Stock Is the Better Investment?
Lucid Grows Revenue 4% While the US EV Market Shrinks 41% and Adds 1.75 Billion Dollars of Saudi-Backed Credit to Reach Its Midsize Car
Entegris (ENTG) Targets 15 Percent Annual Growth and Onto Innovation (ONTO) Posts a Record Quarter as Chipmakers Struggle to Measure AI Returns
SovAI Joins NVIDIA Inception With Two Grid-Connected AI Factory Sites Built to the DSX Reference Design
Dropbox (DBX) Pays 350 Million Dollars for Tigris Data to Sell AI Storage as Its Core Business Stays Flat at 2.56 Billion Dollars ARR
Why Tech Stocks Are in Free Fall, AI Spending Fears and the November 5 Selloff
Semicap Pulse Reads 48.5 Steady as Chip Equipment Stocks Slump While Orders and Exports Run Hot
Memory Cycle Gauge Reads 82 Shortage as Micron Stock Breaks Trend While Supply Stays Sold Out
AI Market Analyzer Falls to 31.8 Cooling as Price Gauges Hit AI Winter and Leverage Stays Greedy
AI Capex Tracker November 2026, Hyperscalers Spend $237 Billion in One Quarter as Free Cash Flow Turns Negative
BareProxy Adds AI Crawler Control That Tells Real GPTBot and ClaudeBot Requests From Fakes
BareProxy Adds Bot Challenges That Make Scrapers Posing as Browsers Solve a Puzzle First
BareProxy Adds Cookie Consent That Holds Back Tracking Cookies Until a Visitor Says Yes
BareProxy Adds Markdown Serving That Turns Markdown Files Into Web Pages With No Build Step
BareProxy Ships Its First Nine Plugins, From Maintenance Pages and CORS to Geo Rules and Rate Limits
BareProxy 0.2.0 Runs WebAssembly Plugins Through the Proxy-Wasm Interface
BareProxy 0.3.0 Writes Its Plugins in Rust, Where a Plugin Adds 15 Microseconds Instead of 42
BareProxy Is an Operating System for Web Traffic: A Small Core and a Long Stream of Plugins
BareProxy Plugins Go WebAssembly, Starting With RenderCache and AI Crawler Control
BareProxy Runs on Linux, macOS and Windows, and One Plugin File Runs on All of Them
Claude Code on GitLab vs GitHub: Thinner Integration and a Fifth of the Free CI Minutes
How k4i.com Publishes Posts Unattended With Small AI Models, Groq and GitHub Actions
How to Ship In-Browser AI Apps With No Server and No Inference Bill
Microsoft Authenticator Android Flaw Shows Why Apps Must Verify Who Is Calling Them
Zero-Budget AI Apps Work Best as Self-Feeding Sites, Not Open Tools
A Useful Software Primitive Should Be Easy to Explain and Hard to Replace
Apple's US Link-Out Fee Is Zero Until a Judge Sets It, and Apple Is Asking for Up to 15%
20 Primitive Project Ideas: Tiny Go Engines That Do the Essential 10% of Redis, Kafka and Etcd
40 Projects Worth Building: SQLite for X, Tiny Infrastructure, MCP Tools and Edge Systems
40 Radically Different Infrastructure Primitives, From Reach and Expect to Ignorance and Stop

Media Partners

  • AltSql.com
  • Technology Conferences
  • API Coding
AltSql Is a Native Hybrid of Key-Value and SQL, From the Sensor to the Gateway
AltSql Core and AltSql DB Are Now Open Source Under the Apache License 2.0
Introduction
AltSql DB 0.3 Adds Secondary Indexes and Statement Savepoints: A Lookup on a Million Rows Ran 198 Times Faster Than a Full Scan
How It Works
AltSql DB 0.2: SQL and Direct Calls Wrote Byte-Identical Files Over 100,000 Random Steps
AltSql DB Keeps a Whole Fleet in One File and Reads by Key 5 Times Faster Than SQLite Through SQL
AltSql Core and Six Prototypes Built Around It
AltSql Ask Puts One SQL Question to 500 Simulated Machines and Brings Back Only the Answers
Machine Monitoring Case Study: Overheat Alarm Handled on the Sensor While Wi-Fi Was Down
HLTH 2026, November 15-18, The Venetian Expo, Las Vegas
electronica 2026, November 10-13, Messe München, Munich
KIOXIA Forum 2026, November 26, TODA Hall and Conference Tokyo, Tokyo
Black Hat Europe 2026, December 7-10, Excel London, London
ISC East 2026, November 3-5, Javits Center, New York
Cantor Convergence 2026, November 10-12, The Ritz-Carlton South Beach, Miami Beach
MATLAB EXPO Online 2026, November 4-5, Online
SGLang Summit 2026, November 12-13, Fort Mason Center for Arts and Culture, San Francisco
Visual Semiconductor and INCERGO at CES 2027, January 6-9, Las Vegas Convention Center, Las Vegas
Conferences Are Theatre and the Hallway Is the Product
RFC 9457 Problem Details Gives API Errors One Shape Instead of Fifty Ad Hoc JSON Bodies
Idempotency Keys: How One Header Stops a Retry From Charging a Customer Twice
A Tiny ETL Binary Competes With curl, jq and SQLite in a Cron Job, So Build It That Small
An AI Agent Flight Recorder Belongs in One Portable File, the Way HAR Did It for HTTP
Benchmarking MCP Servers and Stateful API Workflows: Latency, Throughput and Tokens per Call
Diagnose a Slow API From One Request: DNS, Connect, TLS, Server Wait and Transfer
Finding API Endpoints, Tables and Flags Nobody Uses Takes Code and Traffic Together
Fuzzing MCP Servers: Generate Bad Arguments From the Tool Schema and Watch What Breaks
Give Any API a History: Poll It, Hash It and Query Old Versions With SQL
Infer Your API's Real Contract From Traffic, Then Diff It Against the Docs

Copyright © 2026 Technologies.org

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