Machine Intelligence Garage helps businesses access the computation power and expertise they need to develop and build machine learning and artificial intelligence solutions. Participating startups get access to computation power and relevant expertise, as well as a range of support activities.

You can find out more about cohorts and their work in the garage below.

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Parallel AI
Company Size: 16
Team Size: 12

Parallel AI is the world’s first machine learning as a service (MLaaS) platform and marketplace. Its aim is to make AI adoption cost effective and integration ...

Parallel AI is the world’s first machine learning as a service (MLaaS) platform and marketplace. Its aim is to make AI adoption cost effective and integration seamless via an accessible marketplace allowing companies of all sizes to gain equitable benefits.

How has Machine Intelligence Garage helped the company?

The Machine Intelligence Garage programme allowed Parallel AI to gain access to tech, talent and potential customers. With access to cloud credit grant, it was able to win a big contract with reseller increasing its share of the potential market

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axial3D
Company Size: 12
Team Size: 6

axial3D makes 3D printing in medicine routine.

Complex injuries are hard to interpret in 2D medical images; however, 3D printed models of these images have ...

axial3D makes 3D printing in medicine routine.

Complex injuries are hard to interpret in 2D medical images; however, 3D printed models of these images have shown to have a huge impact on a patients care. The process of turning these images into 3D data for 3D printing is extremely complex, time consuming & expensive, obstructing worldwide adoption. axial3D is creating a unique software category in this early stage market, utilising machine learning to automate every process in creating functional 3D models from 2D files and eliminating costly human intervention. This opens the multibillion dollar medical 3D printing market to the masses.

How has Machine Intelligence Garage helped the company?

With the rapid expansion of axial3D’s team, datasets and market, it wanted to partner with industry experts in this space to ensure it could deliver its products to globally improve patient care as soon as possible. axial3D’s development on the Machine Intelligence Garage programme allowed it to look at the long term needs for its technology & what its will need to put in place as a result of our development. The programme has given axial3D extensive information on the variable resources that are out in the market at its disposal and guidance to pick the best resources as we grow.

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Glass
Company Size: 10
Team Size: 9

Glass use AI technology to interpret open text on the web.

Glass’ mission is to read the entire internet to build an unparalleled open resource ...

Glass use AI technology to interpret open text on the web.

Glass’ mission is to read the entire internet to build an unparalleled open resource for the world’s researchers. Most organisations have to do research in order to understand markets and find new customers. With this innovation in the field of machine language understanding, Glass is building a new capability for market, economic and social research. Initial users are data scientists, economists and market analysts. Through Glass, users can gain insights into themes and sectors, monitor trends, find opportunities, and perform market analysis. The application is built entirely with AI that digests content from the web, the world’s biggest research resource and system of record.

How has Machine Intelligence Garage helped the company?

Participation in The Machine Intelligence Garage programme has given Glass access to more computation power in the cloud through the Garage partners. The Machine Intelligence Garage programme has also offered Glass relevant workshops around user-centric product design and other key aspects of its company.

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Humanising Autonomy
Company Size: 7
Team Size: 4

Humanising Autonomy is developing a culture and context specific platform for pedestrian intent prediction to improve autonomous vehicles’ decision making, safety, societal acceptance and deployment ...

Humanising Autonomy is developing a culture and context specific platform for pedestrian intent prediction to improve autonomous vehicles’ decision making, safety, societal acceptance and deployment in urban environments.

It envisions a world of natural interactions between people and autonomous systems.

How has Machine Intelligence Garage helped the company?

MI Garage has correctly identified that a major constraining factor in small AI-related startups is access to powerful (and expensive) hardware to train models on. Humanising Autonomy has taken part in workshops and talks that are providing support for training models on the cloud. The Machine Intelligence Garage programme’s knowledge and expertise in the AI industry is something that Humanising Autonomy feels is an equally valuable form of support for early stage companies in the field.

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Yossarian
Company Size: 3
Team Size: 3

Yossarian looks to augment human creativity by using machine learning to find novel lateral associations between content.

Current search and discovery tools optimize for literal ...

Yossarian looks to augment human creativity by using machine learning to find novel lateral associations between content.

Current search and discovery tools optimize for literal associations, which work very well for most people’s day to day search activities. However, for individuals working in creative fields these types of returns can be problematic in that they reinforce existing connections and knowledge. Through metaphorical approaches, Yossarian’s tools help individuals to find concepts that they would be unable to discover using traditional search tools, helping them generate new insight and creative direction.

How has Machine Intelligence helped the company?

The Machine Intelligence Garage has allowed Yossarian to radically accelerate its current development activities, and implement various machine learning components that would have been very difficult for it to implement otherwise. Yossarian had the opportunity to connect with experts in artificial intelligence for guidance on development directions, join a community of other researchers and companies, and to get concrete support with additional computing power.

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Chirp
Company Size: 11
Team Size: 8

Chirp is a technology company addressing the need for frictionless, portable and secure device-to-device communication.

Its core data-over-sound technology provides a robust means of encoding, ...

Chirp is a technology company addressing the need for frictionless, portable and secure device-to-device communication.

Its core data-over-sound technology provides a robust means of encoding, transmitting, and decoding digital assets, with maximum device interoperability from the latest smart hubs and IoT devices to legacy mobile phones and low-cost toys. By using sound, it is able to provide connectivity solutions that are truly device agnostic, do not require device pairing, work offline, leverage existing audio infrastructure such as streaming and public address systems, and can be used for both one-to-one and one-to-many communications. It offers a broad suite of SDKs for developers to seamlessly integrate its technology, covering a range of applications including authorising user credentials, ticketing, payment transactions, and onboarding smart devices.

How has Machine Intelligence Garage helped the company?

The Machine Intelligence Garage has given computational resources and the ability to rapidly accelerate the development of Chirp’s core technology. Beyond the compute power, Chirp has been able to work with experts at the Digital Catapult to help develop specific areas of its technology, explore new use cases, and obtain first-hand advice from industry partners such as Nvidia and Amazon AWS. Chirp has gained exposure to the extensive knowledge partnerships on offer and the opportunity to learn from like-minded companies developing cutting-edge deep technology at the edge.

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Content Innovation Limited
Company Size: 3
Team Size: 2

Content Innovation helps clients add intelligence to their content. It saw a need for a product that could read any document and give background reading, ...

Content Innovation helps clients add intelligence to their content. It saw a need for a product that could read any document and give background reading, key facts and an overall summary. It developed Scholarcy, initially aimed at the edtech sector, to help researchers, students and journalists read and understand the pile of papers and reports on their hard drives or on the web. While there are plenty of tools that help you find papers, Scholarcy is the only tool that will actually read a full paper or report for you.

How has Machine Intelligence Garage helped the company?

Content Innovation needed to improve its machine learning models for summarisation and data extraction beyond what it could build on a laptop. The Machine Intelligence Garage programme gave access to cloud compute resources to help it do this.

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WILD Technologies AI
Company Size: 6
Team Size: 4

WILD pioneers “dataology”: understanding your body, through your data, and acting on it – to never be ill again.

WILD believes the traditional reactive medical ...

WILD pioneers “dataology”: understanding your body, through your data, and acting on it – to never be ill again.

WILD believes the traditional reactive medical model is outdated – you get sick, see the doctor, take drugs and eventually get cured is outdated. It helps you live smarter – starting with runners, cyclists and swimmers, helping them train smart.

How has Machine Intelligence Garage helped the company?

WILD has been given access to GCP and has been invited to a female founders in AI breakfast with Softbank, which will be a very good opportunity to meet stakeholders interested in our sector.

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Skin Analytics
Company Size: 6
Team Size: 3

Skin Analytics’ provides an AI screening service, when used in primary care; it can improve patient outcomes and significantly reduce the number of referrals and ...

Skin Analytics’ provides an AI screening service, when used in primary care; it can improve patient outcomes and significantly reduce the number of referrals and the cost of finding melanoma.

Melanoma cases have quadrupled in last 40 years. A 2014 Kings Fund report stated that there are 2 million GP appointments for skin cancer and demand is increasing, putting increasing pressure on meeting the 2 week wait guidance. Skin Analytics’ work with Royal Free Hospital suggested two-thirds of referred patients could have been dealt with in primary care.

How has Machine Intelligence Garage helped the company?

The programme has allowed Skin Analytics to gain access to people and hardware generating credibility within the health sector.

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Bloomsbury AI
Company Size: 10
Team Size: 10

Bloomsbury AI deploy machine learning, in particular cutting-edge natural language processing, to extract information from text documents and develop a question-answering system. Their tool Cape ...

Bloomsbury AI deploy machine learning, in particular cutting-edge natural language processing, to extract information from text documents and develop a question-answering system. Their tool Cape is available to use through an online demo.

How has Machine Intelligence Garage helped the company?

As part of their involvement in the Machine Intelligence Garage programme, Bloomsbury AI had dedicated access to an NVIDIA DGX-1 deep learning computer. Using this technology they could train algorithms much faster than before whilst creating a better model for text understanding. Guillaume Bouchard, CEO Bloomsbury AI reported that: “Machine Intelligence Garage as a programme is more focused on what resources the startups need. The system made a huge change to the team’s productivity and throughput of our solutions.” Shortly after their involvement in the programme, Bloomsbury AI were acquired by Facebook to further natural language processing research and applications, as covered in TechCrunch.

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Cambridge Bio-Augmentation Systems
Company Size: 13
Team Size: 10

Cambridge Bio-Augmentation Systems (CBAS) is a leading neural engineering startup, creating the open standard hardware and software interface between the human nervous system and bionics.

...

Cambridge Bio-Augmentation Systems (CBAS) is a leading neural engineering startup, creating the open standard hardware and software interface between the human nervous system and bionics.

CBAS uses applied materials, machine learning, software engineering, neuroscience, and the experience of its surgeons and clinicians to solve the complex problems of successfully integrating bionics into the human body. Its first product is the prosthetic interface device (PID), a universal connector integrated directly into the arm and connected to the nervous system – a “USB connector” for bionic arms. CBAS currently has the largest neural data set in the world, performing cutting edge machine learning research, and is also exploring implementing this technology to other conditions throughout the body, revolutionising chronic healthcare from delivery to recurrent care.

How has Machine Intelligence Garage helped the company?

CBAS has gained the opportunity to access a wide range of experts from within the artificial intelligence industry and given its team skills beyond just increased machine learning capability. The programme also allowed CBAS access to machine learning expertise and resources that were not present in-house. Machine Intelligence Garage has enabled CBAS to run huge tests on its models and datasets, accelerating its growth and R&D.

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GTN Ltd
Company Size: 11
Team Size: 7

GTN is transforming drug discovery through interdisciplinary innovation.

Bringing a single new drug to the market costs $2.9bn and can take up to 15 years, ...

GTN is transforming drug discovery through interdisciplinary innovation.

Bringing a single new drug to the market costs $2.9bn and can take up to 15 years, with a high chance of failure. GTN combine machine learning and quantum physics and use its unique patented technology, Generative Tensorial Networks, to discover innovative new drug-like molecules. This will create substantial efficiencies in the whole drug development cycle.

How has Machine Intelligence Garage helped the company?

The programme has provided the necessary computational power to develop and train GTN’s model, as well as expertise and networking opportunities.

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Predina Tech
Company Size: 5
Team Size: 3

Predina uses AI to dynamically predict and prevent the risk of road accidents in real time. Their machine learning model processes live contextual information, e.g. ...

Predina uses AI to dynamically predict and prevent the risk of road accidents in real time. Their machine learning model processes live contextual information, e.g. on road conditions, traffic and weather, to infer potential hazards and suggest alternative routes. Predina has built its tech for fleets, insurers, cities and autonomous vehicles.

How has Machine Intelligence Garage helped the company?

Through The Machine Intelligence Garage Programme, Predina has received access to the latest hardware for machine learning and the expertise to build their model in a future-proof and scalable way in the cloud. This helped the company to run a successful pilot project with of the largest industrial fleet operators in the UK.

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Intellisense.io Ltd
Company Size: 25
Team Size: 17

Intellisense.io uses artificial intelligence and industrial IoT technologies to develop optimisation software for the mining industry.

Intellisense.io’s out of the box applications have proven to ...

Intellisense.io uses artificial intelligence and industrial IoT technologies to develop optimisation software for the mining industry.

Intellisense.io’s out of the box applications have proven to drastically reduce operating costs and improve efficiencies across the extraction, processing and utility systems in world leading mining companies. This is achieved with zero capital expenditure and minimal disruption to mines.

How has Machine Intelligence Garage helped the company?

Through the programme the company gained access to state-of-the-art cloud computing facilities that it couldn’t have otherwise. This significantly accelerated its machine learning research progress and allowed the building of a more robust product that is being been deployed internationally. Machine Intelligence Garage has helped with technical aspects of cloud-based machine learning as well as inviting Intellisense.io to participate in a number of workshops that are focused on cutting edge technology and business development.

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Wiggly-Amps
Company Size: 21
Team Size: 8

Wiggly connect patients to clinicians and other health services.

Wiggly design and manufacture touch screens that sit in doctors’ surgeries to consulting online. Wiggly has ...

Wiggly connect patients to clinicians and other health services.

Wiggly design and manufacture touch screens that sit in doctors’ surgeries to consulting online. Wiggly has been providing hosted services for over a decade. One of its strengths is the integration it has achieved with the major clinical systems in use, breaking open data silos and allowing patients to use and contribute to their records more effectively. Wiggly work in an environment where data security and information governance sit alongside clinical safety as key considerations in everything it does.

How has Machine Intelligence Garage helped the company?

Wiggly-Amps received the opportunity to start exploratory work with experts at Newcastle University.

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Geek Talent
Company Size: 3
Team Size: 3

GeekTalent develops machine learning solutions for a detailed labour market analysis to support strategic funding decisions for recruitment, education and skills.

Using state-of-the-art natural language ...

GeekTalent develops machine learning solutions for a detailed labour market analysis to support strategic funding decisions for recruitment, education and skills.

Using state-of-the-art natural language processing techniques GeekTalent extract and organise information from documents such as CVs and job advertisements and help customers to improve their workflows and results.

How has Machine Intelligence Garage helped the company?

Geek Talent now have a clear set of AI investment options to further differentiate its product and provide additional insight in to plan its product roadmap.

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