Voltage Monitor with Digital Output (Multi-domain supply monitoring), TSMC N5
Eta Compute Closes $12.5 Million Series C Funding Led By Synaptics
Eta Compute expands its focus to ready-to-deploy, system-level solutions and announces strategic partnership with Synaptics
WESTLAKE VILLAGE, Calif., December 15, 2020 – Eta Compute Inc., the leader in energy-efficient endpoint AI solutions for intelligent sensing anywhere, announced it closed its Series C funding of $12.5 million, bringing the company’s total funds raised to $31.9 million. The round was led by Synaptics Incorporated along with participation from existing investors. Satish Ganesan, Chief Strategy Officer at Synaptics will join the Eta Compute Board of Directors.
“We are delighted and privileged to have Satish as the newest member of the Eta Compute board,” said Dr. Ted Tewksbury, CEO of Eta Compute. “He brings a wealth of strategic, business and technology experience and we look forward to collaborating with Synaptics to address the multi-billion dollar opportunity in Edge AI.”
Additionally, Eta Compute announced a co-development and co-marketing partnership with Synaptics. The partnership gives Eta Compute access to Synaptics’ just announced ultra-low power Katana Edge AI SoC, and Synaptics access to Eta Compute’s TENSAI® Flow software and neural network compilers, models and AI applications. The joint partnership accelerates the introduction of innovative ultra-low power audio- and vision-based edge AI solutions for smart home consumer IoT markets, and for smart industrial IoT (IIoT) applications in buildings, factories, and cities.
“Synaptics continues to aggressively expand into high growth markets and applications in the IoT space,” said Satish Ganesan, Chief Strategy Officer at Synaptics. “Eta Compute is a recognized leader in energy-efficient edge inferencing. The combination of Synaptics’ low power Katana Edge AI SoC coupled with Eta Compute’s power optimized machine learning compiler and software enables us to deliver the industry’s most power-efficient AI solutions at the edge.”
Earlier this year, Eta Compute introduced TENSAI®, the world’s most energy efficient endpoint AI platform, consisting of the ECM3532 neural sensor processor, the TENSAI® Flow software and neural network compiler, and a growing family of board-level solutions and optimized neural networks. While Eta Compute will continue to develop its TENSAI® AI software platform, it will expand its focus to complete systems that address its customers’ unmet need for commercially deployable whole product solutions.
“We’re seeing growing customer interest in our ECM3532 processor and AI sensor boards for a wide range of energy-constrained IoT applications requiring multi-year battery life and energy harvesting. Partnering with Synaptics for our next generation silicon enables us to rapidly and cost-effectively extend TENSAI® into new applications requiring higher performance sound, image and sensor processing,” added Dr. Tewksbury. “Combined with our new funding, we will now be able to expand our available market, grow design wins and accelerate the introduction of new modules and software that satisfy customers’ unmet need for easy-to-use, ready-to-deploy system solutions.”
About Eta Compute
Eta Compute delivers the most energy-efficient AI processing which eliminates battery capacity as a barrier for innovative industrial and consumer applications. Our patented Continuous Voltage and Frequency Scaling (CVFS) technology results in the world’s lowest power embedded platform and delivers unparalleled machine intelligence for energy-constrained products. In 2018, the company received both Design Innovation Of The Year and Best Use Of Advanced Technologies awards at ARM TechCon. Visit EtaCompute.com, or contact the company via email at info@etacompute.com.
|
Related News
- Pragmatic Semiconductor increases Series C funding to $125 million
- Mythic Raises $70 Million in Series C Funding Led by BlackRock and Hewlett Packard Enterprise
- Hailo Raises $12.5 Million Series A Round to Develop Deep Learning Processor for Embedded AI Applications
- Nanochip Secures $10 Million in Series C Funding Led by Intel Capital; Investment Round to Provide for Commercialization of Ultra-High-Capacity Removable Storage Chips
- Panmesia Raises $12.5 Million in Seed Funding with a Valuation Exceeding $81.4 Million in the CXL Semiconductor Arena
Breaking News
- TSMC November 2023 Revenue Report
- Getting Ready for IoT Security in the AI Era
- CEA-Leti Paper in Nature Communications Reports First Complete Memristor-Based Bayesian Neural Network Implementation For Real-World Task
- Siemens' new Calibre DesignEnhancer boosts Samsung Foundry design quality and speeds time to market
- Bluetooth Channel Sounding: Achieving 10cm Ranging Accuracy
Most Popular
- Pragmatic Semiconductor secures £182m ($231m) investment led by M&G and UK Infrastructure Bank
- Cadence Signoff Solutions Empower Samsung Foundry's Breakthrough Success on 5G Networking SoC Design
- Top 10 Foundries Experience 7.9% QoQ Growth in 3Q23, with a Continued Upward Trend Predicted for Q4, Says TrendForce
- What Is Holding Back Neuromorphic Computing?
- Lattice Collaborates with NVIDIA to Accelerate Edge AI
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |