AIS. AI-in-Sensor. No digitizing. No latency. No distortion. No bus. No power -- almost. No problem.

AIS. AI-in-Sensor. No digitizing. No latency . No distortion. No bus. No power -- almost. No problem.

A storm is coming. AIStorm presents its AI-in-Sensor SoCs…

Sensors are not digital devices. To convert sensor information into a digital representation takes time, power, silicon, and adds distortion & noise. AIS solutions can be finished processing before the competition even has enough digital information to begin. So why not skip the middle man and consider our SoCs for your next project?

HIGHEST PERFORMANCE

Our patented charge domain technology guarantees a high performance, fully integrated SoC that you can’t find anywhere else.

 

LOWEST POWER

Because we don’t have to digitize sensor information, we offer the lowest power usage for performance in the industry.

LOW COST

We pass cost savings onto you by eliminating energy-intensive GPUs and DSPs so that you can focus on making your next project even better.

Technology

We’ve all heard about process in memory. Why stop there?

The sensors are the system's eyes, ears and fingers. Sensors can focus on what we care about and ignore the rest – a face, another car, an intruder, a sound, a change…

…event-driven digital just isn’t & memory needs something to remember. Consider an image sensor watching a warehouse. Only a few pixels are involved with the area around a door in the far corner where an intruder might enter.

So the system has to poll, or incorporate some complicated handshake scheme with the processing system to try to work out where to focus. No matter how it is done it is slow and complicated. So why bother? Now consider a camera scanning faces at an intersection. Distractions abound… cars, trees, clouds, winds, rain, snow, debris blowing by. How is a digital system going to deal with that with all those ADCs and handshakes going on?

AIS technology is analog and mixed signal technology, but it's more than that. For the first time the sensor itself is smart enough to deal with events, make decisions and can perform complex analysis…often before the other guy even receives his digital sensor representation to start processing.

Imagine a smart car braking faster; or a camera lasting years on a single battery; biometric login by small wearable devices like watches, bands and glasses. AIS has the power to enable new technologies like handset gesture control, heart-based security, through screen image sensors and advanced machine vision.

The Nitty Gritty

- compatible with TensorFlow & other AI abstraction languages

- programmable architecture

- >10 TOPs/W

- >2.5 TOPs

- up to 100’s of thousands of neurons in a few square mm’s

- Mhz to Multi-GHz DEC* clocking speeds

- distributed wavefront memory

- fast deep learning capable

- no noise penalty

- integrated sensors

- low cost

*Digital Equivalent

Applications

Through Screen Fingerprint Sensor

Augmented Transportation

Security & Traffic Cameras

A Warehouse Security Camera

A digital system watching the door in the background could easily miss an intruder due to the need to continuously poll different areas of the image. Otherwise, complicated interface schemes are required. AIS offers true event driven operation that can allow years of operation on a single battery.


Digital systems need complex arbiters to ignore background information like trees, cars, rain, snow, wind, clouds, debris, etc. and focus on faces. With AIS the cost and complication of digital processing is not needed.


A Face Recognition Traffic Camera

Security & Traffic Cameras

A Warehouse Security Camera

A digital system watching the door in the background could easily miss an intruder due to the need to continuously poll different areas of the image. Otherwise, complicated interface schemes are required. AIS offers true event driven operation that can allow years of operation on a single battery.


A Face Recognition Traffic Camera

Digital systems need complex arbiters to ignore background information like trees, cars, rain, snow, wind, clouds, debris, etc. and focus on faces. With AIS the cost and complication of digital processing is not needed.

A digital system watching the door in the background could easily miss an intruder due to the need to continuously poll different areas of the image. Otherwise, complicated interface schemes are required. AIS offers true event driven operation that can allow years of operation on a single battery.


"Heart Muscle Waveform Authentication" vs. "Fingerprint"

Wearable devices require a continuous, long life, authentication scheme. AIStorm and its partner companies own the patents to this technology and are using AIS to make it work.

Gesture control

Gesture control sensors can operate in the 50mW range, but the current level of processing takes too much power for handsets or watches. AIS technology enables this function by making it usable in portable applications.

Food service automation

Freeing personnel from redundant tasks and lowering costs for consumers, AI is already redefining the food industry. AIStorm is partnered with leaders in the food equipment industry to help usher in the next generation of AI-powered products.

medical imaging diagnosis

AI-augmented medical machine diagnostics is helping the medical industry reduce errors, distribute leading techniques and bring their services to remote locations. AIS technology can help improve medical devices by improving performance and lowering costs.

Edge voice processing

Voice is a key human interface device (HID). Already cell phones and stand-alone devices offer high-performance voice solutions. However, they are often dependent upon the cloud for operation. By pushing more capability into the device, bandwidth requirements can be reduced and the technology can be used for transportation and other applications where the cloud connection may not be reliable.

 

AIStorm – Recognized by Frost & Sullivan for Innovation

AIStorm has recently received the Technology Innovation Award for System-on-Chip Artificial Intelligence Sensor for Fast Edge Processing by leading global research organization Frost & Sullivan.

Our unique AIS technology can be integrated into existing facilities to enhance and streamline applications in a wide range of industries including consumer, automotive, security, medical imaging and industrial automation.

“AIStorm’s AIS solution, powered by its charge domain and switched charge circuit processing technology, has the opportunity to overcome the shortcomings of existing GPUs and NPUs for high-performance, AI-based edge computing applications and is positioned to become a significant standard for edge computing and AI systems.”

In the News:

Learn more about our technology
AIStorm Introduces Real-Time AI-in-Sensor Solutions for Driver Assistance, Mobile Handsets, Cameras, and IoT
AIStorm raises $13.2M for its analog data-reading sensor chips
Startup Accelerates AI at the Sensor
AIStorm Goes After Mobile Edge Computing with $13 Million Financing Round
AIStorm Introduces Real-Time AI-in-Sensor Solutions
AIStorm Debuts Analog Data AI Chips for IoT and Driverless Cars
AIStorm Raises $13.2 Million to Bring Real-Time AI-In-Sensor Technology to the Edge at a Fraction of the Cost
AI Company Raises $13M For Real-Time Sensors

Make sure you us below!

Careers

AIStorm is hiring in San Jose, Phoenix, Graz, Dresden, Hsinchu & Austin:

• Analog IC Designers

• Digital IC Designers

• IC Verification Engineers

• IC Layout

• Test Engineering

• Algorithm Engineers

• Business Managers

Please send your resume to:

Responsibilities

We’re growing our team -- if you’re a high-energy, self-starting engineer with hands on experience with Artificial Intelligence and good understanding of Analog applications, AIStorm is the place for you. AIS technology is analog and mixed signal technology, where the sensor does all the decision making and perform complex analysis rather than performing a digital sensor processing and then start the decision making
-Develop solutions for real-world, using Artificial Intelligence/Machine Learning; and help team minimize the parameters and design the best network for audio and image applications
-This role bridges the gap between Analog Engineer and a Software Developer
-Develop key techniques for Audio and Image applications in domains such as audio recognition, Computer vision, etc. and interdisciplinary domains

Qualifications

-MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field with understanding in Analog Circuits
-Ideal candidate will be skilled in audio and image processing, and machine learning applications
-Working experience with Deep Learning using Tensor Flow, Cafe
-Hands on Python, Matlab experience
-Technically oriented, proactive, and enthusiastic, with extreme attention to detail

About Us

Our backers include a group of more than forty investors, including one of the world’s leading suppliers of authentication systems, one of the world’s largest CIS image sensor manufacturers, a leading food service equipment supplier owning many of the world’s best known brands, a leading wearable OEM company and many others.

Our investors are also our customers.

Our partners are leaders in their fields offering AI Storm unique access to properly define solutions and the technology needed to outperform competitors.

Our team is comprised of engineering, manufacturing and business leaders from the semiconductor industry. Our team has collectively produced more than one thousand SoCs for industry leading semiconductor companies. We know how to define, develop and manufacture microchips.

AIStorm is based in San Jose, CA with offices in Austria, Taiwan, Phoenix and soon Dresden and Israel.

Why invest in AIStorm?

Sensor AI is predicted to be a 5 Trillion dollar opportunity (ARM)

Biometric HID / Authentication AI powered device market to grow from 45B in 2018 to 140B in 2024

Machine Vision AI powered device market to grow from 18B in 2018 to 48B to 2024

Robotics AI to grow from 80B in 2018 to 150B in 2024

Agricultural AI powered device market to grow from 8B in 2018 to 74B by 2024

Our proven team has produced over 1000 commercial Ics, represent hundreds of years of experience with major analog IC companies, and were responsible for P/L for major analog IC companies

Our major investors are leaders in the handset authentication, CMOS image sensor, food service equipment, and wearables markets.

They are also our customers. Our technology outperforms any known competitor.

Our costs and die size performance metrics are more competitive than any known competitor.

For more information please contact:

Robert Barker, CFO

Our Offices

For more information, contact sales@aistorm.ai

North America

California - Cupertino

Ohio - Cleveland

Texas - Houston

Europe

Hungary - Budapest

Austria - Premstätten

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All Rights Reserved.