Eta Compute Closes $12.5 Million Series C Funding Led By Synaptics

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

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

Eta Compute Will Demo Person Detection and People Counting in milliwatt At The 2020 Embedded Vision Summit

Virtual interactive event provides a first-look at the TENSAI Platform and People Detection and People Counting demo; allows attendees to text or chat 1-1 with Eta Compute experts.

WESTLAKE VILLAGE, Calif., September 1, 2020Eta Compute Inc., a company dedicated to delivering machine learning to low power IoT and edge devices using its revolutionary TENSAI® Platform, announced it will exhibit at the 2020 Embedded Vision Summit, the premier event for innovators adding computer vision and AI to products.

This year’s Summit will be 100% online, allowing attendees to watch presentations, engage with speakers, visit the virtual exhibit hall, view live product demos on a seamless virtual platform. The event takes place September 15, 17, 22, and 24, 2020, from 9:00 a.m. to 2:00 p.m. PT,

Eta Compute’s Interactive Virtual Booth will feature its TENSAI® Platform that enables ultra-low power machine vision for edge devices. The TENSAI Platform includes the recently launched TENSAI Flow software and neural network compiler, which enables seamless development for machine learning applications in IoT and low power edge devices.

Leveraging TENSAI Flow and its neural network compiler, Eta Compute will demonstrate three uniquely optimized vision algorithms using low power CMOS image sensors:

  • CIFAR10 object detection algorithm: Compared to direct implementation on a competitive device Eta Compute’s CIFAR10 neural network improves energy per inference to a staggering 200x factor.
  • Person detection algorithm: Detect people in 3mW and 0.5 inference per second.
  • People counting algorithm: Count people in less than 5mw and 1 inference per second.

All three neural networks are optimized for efficiency and memory usage and can run on an ultra-low power TENSAI Neural Sensor Processor from Eta Compute.

The people detection and people counting networks are typically used in space utilization and social distancing monitoring in office buildings and retail stores. This type

Eta Compute Introduces TENSAI® Flow, Enables Seamless Development of Machine Learning Applications in Low Power IoT Devices, from Concept to Firmware

Eta Compute’s TENSAI Flow and neural network compiler helps developers accelerate time-to-design, giving them an edge to bring innovative, intelligent products to market quickly.

WESTLAKE VILLAGE, Calif., August 4, 2020Eta Compute Inc., a company dedicated to delivering machine learning to low power IoT and edge devices using its revolutionary TENSAI® Platform, announced its TENSAI®  Flow software. The software suite complements its existing development resources and enables seamless design from concept to firmware, speeding the creation of machine learning applications in IoT and low power edge devices.

“Neural network and embedded software designers are seeking practical ways to make developing machine learning for edge applications less frustrating and time-consuming,” said Ted Tewksbury, CEO of Eta Compute. “With TENSAI Flow, Eta Compute addresses every aspect of designing and building a machine learning application for IoT and low power edge devices. Now, designers can optimize neural networks by reducing memory size, the number of operations, and power consumption, and embedded software designers can reduce the complexities of adding AI to embedded edge devices, saving months of development time.”

Eta Compute’s TENSAI Flow software de-risks development by quickly confirming feasibility and proof of concept. TENSAI Flow enables seamless development for machine learning applications in IoT and low power edge devices. It includes a neural network compiler, a neural network zoo, and middleware comprising FreeRTOS, HAL and frameworks for sensors, as well as IoT/cloud enablement. 

“In order to best unlock the benefits of TinyML we need highly optimized hardware and algorithms. Eta Compute’s TENSAI provides an ideal combination of highly efficient ML hardware, coupled with an optimized neural network compiler,” says Zach Shelby, CEO of Edge Impulse. “Together with Edge Impulse and the TENSAI Sensor Board this is the best possible solution to achieve extremely low-power ML applications.”

The TENSAI Flow exclusive

Eta Compute Introduces The Industry’s First Integrated, Ultra Low Power AI Sensor Board for Machine Learning At The Edge

Eta Compute will host a free online workshop with Edge Impulse on July 14 for designers working on low power machine learning applications.

WESTLAKE VILLAGE, Calif., June 23, 2020Eta Compute Inc., a company dedicated to delivering machine learning to IoT and edge devices using its revolutionary TENSAI Platform, announced the debut of the world’s first integrated, ultra low power AI Sensor Board, the ECM3532 AI Sensor Board. Designed specifically for machine learning at the edge, the board reduces the initial phase of smart sensor development using its TENSAI SoC, including feasibility, proof of concept, and board design, from several months to weeks or even days.

The company also announced it is hosting a free online workshop with Edge Impulse July 14, 2020. The first 50 qualified developers planning or working on projects will receive a complementary ECM3532 AI Sensor Board. Developers should apply on the Eta Compute web site here. The board can be purchased through Digikey.

“Our fully integrated ECM3532 AI Sensor Board reduces risk, complexity, and costs for developers creating low power smart sensors and accelerates their time to proof of concept,” said Ted Tewksbury, CEO of Eta Compute. “For the first time, they can rely on a single, fully integrated board complemented by Edge Impulse’s comprehensive SaaS development platform to drive innovative IoT solutions to market.”

“Designing low-power devices with embedded machine learning has been a huge challenge,” said Zach Shelby, CEO of Edge Impulse. “The new Eta Compute AI Sensor Board opens up endless application possibilities for developers without compromising on power consumption, and with full support on Edge Impulse we reduce development time to days instead of months.”  Its small form factor (1.4 inch x 1.4 inch), the embedded battery socket and Bluetooth connectivity with the

AI Sensor Board Webinar

Register now to our virtual workshop with Edge Impulse on July 14 2020!

Webinar Description

Teaching your sensors new tricks with Machine Learning

Ultra-low power or detecting complex events, pick… Both?! When we think about machine learning we think of data centers full of servers, crunching numbers. But machine learning is just as useful on small devices: it lets you draw conclusions directly on the sensor thus lowering power consumption, and detect much more complex patterns without explicit programming. In this hands-on workshop we’ll use Eta Compute’s ultra-low power ECM3532 AI Sensor board together with Edge Impulse’s embedded machine learning platform to build battery-powered applications that can detect vibrations, audio signals, or perform anomaly detection on realtime sensor data.

Webinar on July 14, 2020 at 8:00 AM PST, with Edge Impulse and Eta Compute. Presentation by Jan Jongboom, CTO of Edge Impulse

If you would like a board to use during the webinar, they will be available on Digikey at the below link:

*** In regards to the free board drawing, the 50 winners have already been selected.

Eta Compute Named in Forbes top IoT Startups 2020

Eta Compute has been able to adapt quickly to the COVID-19 hard reset by offering a variety of licensing models designed to meet the unique needs of each industry they serve.

Louis Columbus, Forbes Senior Contributor

Use the below link to view the full story. Eta Compute is labeled number 6 in the top 20.

Eta Compute’s ECM3532 cover as cool product by Ganssle Group

This Week’s Cool Product
I’ve been following Eta Compute for a while. Like some other vendors, their interest is putting a little machine learning capability at the “edge” – in a microcontroller right at the sensors. What makes them a bit different is their focus on doing this at extremely low power levels.Eta’s new ECM3532 is an MCU with a Cortex M3 and DSP with dual MACs. The latter, of course, is optimized for multiply-accumulate operations, which are at the heart of inferencing. The company claims (I’ve seen their eval boards running off 1 cm2 solar cells) power consumption of under 5 µA/MHz, which is around an order of magnitude better than most ultra-low-power MCUs. Instead of dynamic voltage and frequency scaling, they tout continuous voltage and frequency scaling, with a near-threshold low-end Vdd of 0.54 V.Near- and sub-threshold operation yields very low power operation at low frequencies. Ambiq is one of the pioneers in this area. FETs can operate in three regions: subthreshold, linear, and saturated. But in the subthreshold region leakage is a problem, and temperature even more so. Transistors are not well characterized at those voltage levels, so vendors resort to clever, often secret, tricks. I’m told digital watches, at least the non-smart versions, operate in the subthreshold region giving them tremendous battery lives. For more on subthreshold voltage operation of FETs see this.One of those tricks Eta uses is a non-synchronous architecture. Though there is a clock, the logic isn’t conventionally clocked. It’s self-timed. Synchronous circuits need plenty of margin to insure all of the timing is properly closed; self-timed versions report back as soon as an operation has completed so the next can begin. Absent this, since FETs operating in or near the subthreshold region can have wildly-varying characteristics depending on temperature, huge

Eta Compute named Cool Vendor by Gartner

Eta Compute Named as a Cool Vendor in Gartner’s May 2020 Cool Vendors in IoT Thingification Report

WESTLAKE VILLAGE, Calif., May 27, 2020 – Eta Compute Inc., a company dedicated to delivering machine learning to IoT and edge devices using its revolutionary Neural Sensor Platform, announced that it was recognized in Gartner’s May 2020 Cool Vendors in IoT Thingification* report.

“We are delighted to be named a Cool Vendor by Gartner,” said Ted Tewksbury, CEO of Eta Compute. “Our innovative multicore processor and self-timed CVFS technology are changing the way designers approach machine intelligence for energy-constrained products. In our opinion this Gartner recognition  validates our vision of enabling intelligence everywhere in the smallest embedded devices and making IoT a reality.”

Eta Compute’s unique approach has been to attack constraints directly by reinventing the way intelligent devices are architected and designed. The company leverages its transformative low power technology and hybrid multicore design to address performance, power and cost constraints. With its patented Continuous Voltage Frequency Scaling (CVFS) technology and production of its ECM3532, the world’s first true AI multicore processor, the company has solved the hardware issues hindering the wide deployment of AI at the extreme edge.

Gartner subscribers can view the full Cool Vendors in IoT Thingification report at this link.

*Gartner, “Cool Vendors in IoT Thingification,” Bill Ray, Alan Priestly, George Brocklehurst, and Martin Reynolds, 14 May 2020

Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of