Portfolio

A platform to print human tissue

Aspect Biosystems occupies a unique place in the biotech market, having developed a platform for in-house innovation and licensed research partnerships with academia and industry. The promise of this technology – and its platform model – could reshape the business of tissue therapeutics.

Current tissues under development in Aspect’s bio engineering pipeline include personalized liver tissue as well as a pancreatic tissue for type 1 diabetes. Aspect’s proprietary bioprinting platform is behind over 20 collaboration projects with leading pharma, biotech and research centres around the world. In 2019 Aspect announced deals with GSK, Merck and JSR.

Universal AI platform for robotics

From food distribution to healthcare to e-commerce, the global supply chain is facing unprecedented pressure to deliver orders quickly, reliably and efficiently, while keeping workers safe. Automation is the key to meeting those challenges.

While repetitive and predictable tasks like the movement of goods have successfully been automated, complex and unpredictable tasks that require hands, such as picking, placing and unloading, have not. Traditional automation can’t handle the constant change and infinite variability of these tasks. Automating them requires advanced AI that can understand, learn and adapt.

Founded in 2017, Covariant is building the Covariant Brain, universal AI that enables robots to see, reason and act autonomously in the real world. Covariant robots learn general abilities such as robust 3D perception, physical affordances of objects, few-shot learning and real-time motion planning which gives them the intelligence to learn how to manipulate new objects they’ve never seen before in environments where they’ve never operated.

With a world leading team of AI researchers and robotocists, Covariant has built a universal artificial intelligence platform that will reshape the future of robotics. We expect Covariant to create a global standard for the deployment and adoption of robotics across many facets of the economy.

Augmented intelligence that improves health outcomes

DawnLight provides a platform called PerceptionNet for AI-based analytics and decision-making that connects edge computing devices for better understanding objects and people in the real world. The team is led by AI and medical researchers Jia Li and Dr. Arnold Milstein and supported by advisors including former Stanford Hospital COO, Dan Ginsburg and former Philips Healthcare CEO, Deborah DiSanzo. While the technology is applicable to all geographies and a wide variety of industries, the company’s primary target market is healthcare, particularly large hospitals and insurance companies.

Unifying AI and Biotech

Genesis Therapeutics pairs proven drug developers with the industry’s most advanced small molecule discovery platform. A world class team of drug developers, AI researchers and software engineers, Genesis Therapeutics is using AI to create transformative therapies for patients.

Patient-centered diagnostic image sharing platform

Traditional image management systems leave patients on the outside looking in while their doctors and hospitals share data between themselves. This too often fails patients at times when they are most in need.

PocketHealth gives patients ownership of their imaging data and equips their hospitals with an industry-leading image management solution. The PocketHealth team is removing hard costs and friction for hospitals and health care providers while fundamentally empowering patients with a simple-to-use platform to participate in their care.

Beyond streamlining the medical imaging industry, PocketHealth is showing itself to be a trusted steward of patient health data. Its focus on patient-centered care, privacy and security is a blueprint for the future of the electronic medical records industry.

A fully integrated production platform for the digital manufacturing and assembly of buildings.

Promise Robotics is transforming how buildings get made, with the aim of creating a more sustainable and affordable built environment. Promise Robotics brings together artificial intelligence, advanced manufacturing, and construction under one roof to create a platform for digital manufacturing.

By helping builders, real estate developers, and other industry professionals leverage the efficiencies of industrialized automation, Promise Robotics aims to usher in a new era of sustainable construction.

Smart diagnostics for infrastructure

Assessing roads has been done the same way for thousands of years, with people riding around and subjectively determining what to fix and when. Billions of dollars in road maintenance costs are spent every year relying on an antiquated system – an enormous financial cost mostly borne by governments and taxpayers.

RoadBotics’ computer vision platform enables a smartphone, placed on a vehicle dashboard, to collect images of road surfaces, predict road damage and to prioritize repairs in a colour-coded map. RoadBotics is already delivering efficiencies to city managers and road owners, offering comprehensive infrastructure assessments at scale. Additionally, RoadBotics provides communities a mechanism to visualize, plan and communicate priorities to their constituents, bringing an unprecedented level of transparency to key infrastructure decisions.

RoadBotics is a perfect example of Artificial Intelligence fixing an enormous global problem. It reduces costs and improves lives.

Using AI to reimagine the receipt

A receipt management solution that’s supercharging mobile banking. Sensibill’s machine learning technology reads physical and digital receipts, then organizes the data to generate useful insights and auditing tools. Global financial institutions are turning to Sensibill’s data-driven, customer-facing AI solution to help small business customers manage their purchase receipts, reconcile their bank statements and file their taxes.

But what makes Sensibill’s technology so exciting is its capacity to collect SKU-level data and to match it to time, location and pricing. Such granular level insights have the potential to unlock entirely new business lines that may soon compete with the largest tech companies.

Non-invasive blood monitoring technology

Using magnetic resonance, the same underlying principle used in Magnetic Resonance Imaging (MRI), Synex is building wearable devices that would tell a person, in real time, how their body is performing by measuring glucose, lactate, and ketones – critical metabolites that affect everything from weight gain to athletic performance to the likelihood of developing diabetes.

Glucose monitoring, one the most common monitoring use-cases, currently relies on an antiquated and barbaric approach involving regular pin pricks and test strips. Synex’s combination of machine learning and novel magnetic resonance technology is non-invasive technology that introduces the possibility of an entirely new category of applications to enable everyone to understand their bodies in real-time.

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Unlocking the power of AI in a single chip

There is an expanding yet unmet need for inference applications, where AI is required to make rapid, real-world determinations. Much of that demand is for “on device” capabilities – high-volume AI computations that can’t rely on sending data to the cloud. Untether AI is using a market-leading architecture to create a high performance, ultra-efficient and scalable chip to meet these market demands.

Untether AI’s chip has the potential to disrupt a range of industries, from data centers, autonomous vehicles, vision processing and other embedded applications.

A quantum computer for everyone

Xanadu is building the world’s first practical quantum computer. Instead of using electrons to carry information and perform calculations, the company uses photons – particles of light – to perform extremely fast and complex computations at room temperature.

Most quantum computers in development require enormous chambers where specialized chips are cooled to just above the coldest possible temperature. Xanadu’s chips aim to generate quantum effects on a thumbnail-sized chip at room temperature. The end result is a more commercially viable and scalable quantum computer.