Xailient provides computer vision AI for Edge devices

Xailient the company

Xailient’s computer vision AI for Edge devices enables innovators to bring their visions to life.

Our software solutions allow companies to deploy Face Recognition and detection features for continuous monitoring and updating while always ensuring privacy-safe data collection.

Xailient solves the hardest problems in bringing AI to Edge devices.

Continuing our path in solving hard, real-world computer vision problems at the Edge, we are proud to announce our first product solution, Orchestrait^TM.

Orchestrait is the world’s first privacy-safe Face Recognition solution that uses state-of-the-art Edge AI to ensure full compliance with biometric data and privacy protection laws across all jurisdictions.

Our team

Lars Oleson

CEO and Co-Founder

22 years in Enterprise Software.
Serial entrepreneur.
Experienced CEO with 100+ employees at exit.
Alipay, Symantec, Oracle.
MIT electrical engineering.

Shivy Yohanandan

Strategic Advisor and Co-Founder

RMIT PhD in AI and Computer Vision.
Built Australia’s first bionic eye.
Honors degree in neuroscience and bioengineering.
IMB research.

Andy Atkinson

VP of Engineering

20+ years in high-tech, new product development.
200+ projects from start-ups to multinational companies.
Loves the creative power that disruptive technology and high-quality engineering brings to the table.

Bec Smith

Director of Operations

Operator who scaled 2 billion-dollar global biz.
Simultaneously scaled investee startups.
Startmate fellow.
Masters in technology.

Herman Yau

VP of Strategic Partnerships

14+ years in the consumer IoT, Camera, Video Services, and Computer Vision Industry.
Deep end-to-end operational experience and market knowledge of the consumer IoT business.
Built and sold a consumer IoT product and services business to the market share leader in access control in North America.
4 CES Innovation Awards for Products.

Founder’s Story

Our story begins in 2016 with one of Xailient’s co-founders, Shivy Yohanandan. While researching for his PhD in Artificial Intelligence (AI) and Computer Vision (CV) at the Royal Melbourne Institute of Technology, Shivy had a profound insight – existing AI CV was based around trying to process data through brute strength.

By contrast, visual data is processed on a selective basis in the human brain by focusing on the most relevant regions of interest and concentrating resources. Visual data processed this way is more efficient and accurate.

Shivy used his PhD to develop an algorithm that replicated the human brain for Computer Vision, producing a technique that is an order of magnitude faster than the alternative approaches.

Following his PhD, in mid-2019, Shivy joined the Antler start-up incubator program to help commercialize his algorithm. It was there that he met Lars Oleson, his co-founder and Xailient CEO.

They worked together to develop a business plan for commercialization, began hiring staff, and officially formed the company in August 2019. In September & October, they conducted three proofs of concept in diverse markets and raised USD 1.2 million seed capital.

In February 2020, Xailient launched their MVP and used it to work with two customers as pilot projects, one in retail automation, and the other in agriculture monitoring technology.

Xailient’s story

By mapping biological neural networks (NNs) into artificial neural networks, Detectum, a NN algorithm that can run on very low power, was born.

In becoming more efficient at managing Detectum, the company built a suite of tools to help our internal Customer Success team support various partner POCs.

We realized that in order to empower Edge computer vision at scale, the suite of tools we created was directing the path to a more automated, repeatable, and observable way of doing things.

Talking with our partners, it was apparent that value could be created in building an automated management platform for Edge AI computer vision. In particular, we wanted to provide an operational management toolkit that took a holistic approach.

This is how Xailient arrived at the exciting new chapter of Orchestrait^TM.

Orchestrait^TM is a management tool for engineers and developers working in the smart home and security space to better manage information about Edge Face Recognition models running onboard their cameras.

With Orchestrait^TM, we found a way to efficiently take care of AI management and privacy-compliance issues so that engineers and developers don’t have to.

Strategy going forward

Xailient’s software products empower companies to bring AI computer vision products to market faster and with less investment to compete in the emerging IoT world.

Companies wanting to deploy Face Recognition and detection features now have an effective strategy for ensuring their data collection is always privacy-compliant.

Xailient has commercial partnerships with

Sony [Sony Semiconductor Solutions Corporation]

Xailient announced the world’s most power-efficient Face Recognition AI, which runs on the IMX500, the world’s first intelligent vision sensor with Edge AI processing capability from Sony. Xailient’s Face Recognition enables high-speed Edge AI processing with low-power consumption using Sony’s IMX500 – a chip so small it can fit on the tip of your finger. On the IMX500, Xailient provides the world’s most power-efficient Face Recognition AI.

Maxim Integrated

Maxim teamed with Xailient to provide the world’s fastest and lowest-power loT Face Detection. Maxim Integrated’s MAX78000 ultra-low-power neural-network microcontroller detects and localizes faces in video and images using Xailient’s proprietary Detectum neural network. Maxim Integrated’s microcontroller paired with Xailient’s neural network improves overall power efficiency and battery life of hybrid Edge/cloud applications that employ a low-power ‘listening’ mode, which awakens more complex systems when a face is detected.

Intel OpenVINO

Together, Xailient and OpenVINO deliver every inference of Computer Vision on all configurations of Intel hardware, from microwatts to Gigawatts, efficiently and super fast. Intel OpenVINO improved Xailient FPS 9.5x on Intel hardware – to an eye-watering 448 FPS. No camera needs 448 FPS, but what this means for customers is the ability to drive 15 cameras through a single Intel system, with room to spare for other applications.

OnEdge Newsletter

A weekly newsletter with the best hand-picked resources about Edge AI and Computer Vision

OnEdge is a free weekly newsletter that keeps you ahead of the curve on low-powered Edge devices and computer vision AI.

You’ll get insights and resources into:

Edge computing use cases.
Market trends in Edge computing.
Computer Vision AI at the Edge.
Machine learning at the Edge.

About Us

Xailient the company