Innovate UK

DiffBlue is a software company that develops AI-powered automated testing and code automation tools. It automates coding tasks such as generating unit tests, bug fixing, refactoring, translating code between languages, and producing original code to meet specifications. Its automated testing software for Java creates fully autonomous unit tests, maintains regression tests, and provides insights into test coverage, code testability, complexity and dependencies. The technology uses reinforcement learning to write tests that compile, run, and detect bugs, reducing manual testing effort and accelerating software development. In addition to test generation, DiffBlue offers security testing capabilities to identify and fix exploits. DiffBlue originated as a spin-out of the University of Oxford's AI research group and is based in Oxford, United Kingdom.

Brarista is a technology company specializing in AI-powered solutions for online lingerie retailers, focused on enhancing the customer experience in bra fitting. By utilizing proprietary visual technologies, Brarista enables consumers to accurately determine their bra size from the comfort of their own homes. Users can take photos of their upper bodies using smartphones, laptops, or tablets, which the software analyzes to provide personalized sizing recommendations across various intimate-wear brands. This approach not only alleviates sizing confusion but also empowers women to better understand their bodies and make informed purchasing decisions. Additionally, Brarista's innovative solutions have been shown to increase retailers' revenues significantly, creating a win-win scenario for both consumers and businesses in the lingerie market.

Electric Sheep is dedicated to accelerating the Visual Effects (VFX) industry with cutting-edge AI technology. With a focus on speed, security, and scale, we are streamlining Film/TV workflows. The first step on our journey is rotoscoping. After years of camera to post experience for Netflix, Amazon and Disney among others, we saw an opportunity to take the challenges faced in VFX and leverage emerging AI technology to solve them. Thus Electric Sheep was born. Our mission is to allow artists to get back to what they do best - telling stories through creative, stunning and impactful visual effects.

Wordnerds specializes in AI-powered linguistics to analyze vast amounts of unstructured text data. Their platform enables businesses to derive actionable insights from customer feedback, online reviews, and surveys, facilitating informed decision-making.

Renude operates a personalized skincare advice platform powered by AI. It aims to make reliable, tailored consultation accessible to all users. The company's team comprises dermatologists, formulation chemists, licensed aestheticians, data scientists, and machine learning engineers dedicated to developing dermatologist-approved AI skin advisors.

AMPLY Discovery uses machine learning and synthetic biology to mine large biological datasets and identify novel drug and nutraceutical candidates. The company combines an in silico and in vitro platform to discover first-in-class molecules and to tackle cancer, metabolic diseases, and multidrug-resistant infections. It develops a drug discovery studio that leverages artificial intelligence to digitize life’s natural diversity and to identify putative drug candidates based on function, enabling researchers to pursue new therapeutic molecules for hard-to-treat diseases.

OctaiPipe specializes in Federated Learning Operations (FL-Ops) for Edge AIoT devices. It streamlines the entire lifecycle of developing distributed IoT solutions, enabling data scientists to create scalable, adaptable systems while minimizing monitoring and maintenance costs.

Founded in 2019 with headquarters in San Sebastian, Spain, Multiverse Computing develops quantum computing software tailored to solve complex real-world challenges. Its software leverages probabilistic technology for portfolio optimization, risk analysis, and market simulation, serving clients across industries such as finance, energy, manufacturing, and logistics.

Intellegens is a company that specializes in applying machine learning to enhance innovation across various industries, including materials, chemicals, and manufacturing. Its flagship product, Alchemite™, was initially developed at the University of Cambridge and is designed to train deep neural networks using sparse and noisy data, where conventional machine learning methods often struggle. This platform allows scientists, engineers, and analysts to optimize formulations, products, and processes while significantly reducing the number of experiments required, often by up to 90%. Alchemite™ features a user-friendly web interface and powerful graphical analysis tools, and it can be seamlessly integrated into existing data science workflows. The technology has been successfully applied in multiple fields, including drug discovery, materials development, and additive manufacturing, thereby enabling clients to extract greater value from their data and accelerate their development timelines.

Genie AI is a London-based legal tech company offering an AI-powered platform for drafting contracts. Its product SuperDrafter leverages the knowledge of a law firm to accelerate drafting, while Anonymiser redacts sensitive information. The platform understands contracts semantically and supports smart contract development. Genie AI also provides educational talks and practical training on smart contracts to improve risk management and efficiency. Founded in 2017, the company serves law firms seeking faster, more accurate contract workflows and exploration of smart contract adoption.

Brarista is a technology company specializing in AI-powered solutions for online lingerie retailers, focused on enhancing the customer experience in bra fitting. By utilizing proprietary visual technologies, Brarista enables consumers to accurately determine their bra size from the comfort of their own homes. Users can take photos of their upper bodies using smartphones, laptops, or tablets, which the software analyzes to provide personalized sizing recommendations across various intimate-wear brands. This approach not only alleviates sizing confusion but also empowers women to better understand their bodies and make informed purchasing decisions. Additionally, Brarista's innovative solutions have been shown to increase retailers' revenues significantly, creating a win-win scenario for both consumers and businesses in the lingerie market.

Wowment is a digital platform and app that connects mentors and beneficiaries by utilizing cutting-edge AI and machine learning technology.

Deep Vision specialises in developing real-time, intelligent machine perception technology. Deep Vision's unique and proprietary technology enables systems or devices to detect, recognise, and interpret objects and events, in their environment.

RoboK develops innovative computer vision technology to enhance safety and efficiency in industrial workplaces. Founded in 2017, the company transforms on-site visual data from CCTV cameras into valuable actionable insights for critical infrastructure operators.

Watermarq is a company focused on developing decision-useful data to enhance water security through investment and collective action. By utilizing advanced technologies such as artificial intelligence and machine learning, Watermarq extracts high-resolution data from satellite imagery to provide operational insights into various environmental, social, and governance risks. Their outputs include accessible information on water availability, quality, value, and access, tailored for stakeholders in the public, private, and financial services sectors. This approach allows clients to make informed decisions based on observed data, facilitating better risk assessments and fostering sustainable water management practices.

Cogitat is a technology company specializing in artificial intelligence that translates brain waves into digital commands. It has developed a machine learning-driven electroencephalogram decoding software that allows users to interact with devices through their thoughts, employing device and subject agnostic technology. By utilizing a brainwave decoder trained on real-world EEG data, Cogitat enhances plug-and-play brain-computer interaction, eliminating the need for lengthy calibration sessions. This innovative approach enables seamless navigation and interaction within virtual environments, making it a significant player in the field of brain-computer interfaces.

Productive Machines enhances metal cutting efficiency by employing digital twins of machining processes. This enables rapid simulation of millions of parameters, improving CAM and G-code for increased productivity and part quality.

Lumai specializes in fully optical computing technology, harnessing photonics and machine learning to accelerate artificial intelligence processing. Its innovative processor uses beams of light for rapid data processing, enhancing energy efficiency, and reducing operational expenses.

DeepMirror develops AI-driven drug design software that combines human expertise with artificial intelligence. Its platform aims to help chemists focus on the most promising drug candidates by simplifying complex data analysis workflows, enabling more efficient drug molecule discovery and development.

Syndi is a digital health support recommendation platform that utilizes machine learning and digital phenotyping, with a primary focus on mental health. The company develops technology-driven solutions aimed at enhancing individuals' health by providing effective and accessible support. Syndi's platform employs passive smartphone data collection to gather moment-to-moment information about users, allowing it to deliver personalized and immediate care. This innovative approach not only facilitates connections between patients and healthcare providers but also measures the effectiveness of applications and digital services in treating invisible disabilities. Through its commitment to leveraging technology and research, Syndi seeks to improve healthcare outcomes for its users.

Elaniti is an agricultural data company that combines machine learning with DNA sequencing to reveal soil microbiome insights for farmers and agronomists. Its platform provides outcome-based predictive analytics that link soil biology to crop health metrics such as yield, disease incidence, and nutrient content, enabling precise decisions and more efficient input use. By decoding the soil microbiome and applying proprietary models, the company aims to improve soil health, increase productivity, and support sustainable farming practices. The approach emphasizes data-driven decision making and aims to enable a de-risked transition toward Net-Zero agriculture by validating the value of soil's biological makeup for growers.

Multus is a London-based company established in 2019 that specializes in providing tailored growth media solutions for the cultivated meat industry. By utilizing a machine learning-based approach, Multus develops completely animal-free growth media designed specifically for the efficient growth of animal cells. This innovative technology enables cultivated meat companies to scale their production affordably and sustainably, allowing them to focus on creating delicious and environmentally friendly meat alternatives. Additionally, Multus optimizes a variety of growth factor proteins produced by genetically engineered microorganisms, thereby eliminating the reliance on traditional animal serum-based media. Through its efforts, Multus aims to address the diverse needs of various animal cell types and tissues, facilitating the growth of the cultivated meat sector while significantly reducing the environmental and economic impacts associated with conventional meat production.

Appella AI is revolutionizing retail e-commerce with hyper-personalized AI personal shoppers. By recreating the in-store shopping experience online, we help brands deliver tailored journeys that boost customer satisfaction, drive conversions, and foster loyalty. Leveraging cutting-edge recommender systems and large language models (LLMs), Appella’s AI provides conversational, intuitive shopping assistance. Beyond recommending products based on preferences and behavior, our solution offers trend insights and personalized marketing, ensuring every interaction reflects the brand’s unique identity. Launching on Shopify, Appella empowers e-commerce retailers to elevate their customer experience and unlock actionable insights to fuel growth.

LabGenius Ltd is a biopharmaceutical company based in London, United Kingdom, focused on discovering and developing new protein therapeutics to address unmet medical needs, including conditions like Inflammatory Bowel Disease. Founded in 2012, the company utilizes a machine learning-driven evolution engine and a robotic platform known as EVA, which is capable of designing, conducting, and learning from its own experiments. This innovative approach integrates advanced technologies from synthetic biology, robotics, and machine learning, enabling the engineering of protein drugs with enhanced properties such as protease stability and tissue penetration. By leveraging these cutting-edge methodologies, LabGenius aims to provide physicians with access to novel protein therapeutics that are developed through automation and intelligent design.

Libereat employs machine learning SaaS technology to automatically detect hazardous errors in food data for large brands, which traditional safety methods often overlook. This helps prevent consumer harm and fatalities, reducing severe costs, regulatory issues, legal liabilities, and reputational damage for food businesses.

AMPLY Discovery uses machine learning and synthetic biology to mine large biological datasets and identify novel drug and nutraceutical candidates. The company combines an in silico and in vitro platform to discover first-in-class molecules and to tackle cancer, metabolic diseases, and multidrug-resistant infections. It develops a drug discovery studio that leverages artificial intelligence to digitize life’s natural diversity and to identify putative drug candidates based on function, enabling researchers to pursue new therapeutic molecules for hard-to-treat diseases.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops. The company's primary focus is on enhancing its technology for harvesting green asparagus, while also exploring applications for other crops. Utilizing computer vision and machine learning, Muddy Machines' robotics platform enables precise harvesting by predicting crop maturity and selectively gathering produce, minimizing damage and ensuring freshness. In addition to harvesting, the company is investigating other labor-intensive agricultural tasks, such as weeding and precision applications, to further support farmers in improving efficiency and productivity in their operations.

Built AI is a developer of an advanced real estate investment analysis platform aimed at enhancing the efficiency and effectiveness of commercial property evaluations for real estate professionals. The platform leverages artificial intelligence and natural language processing to provide tools for screening and prospecting, investment analysis, and risk assessment. It also offers insights into historical deal pipelines and existing portfolios, as well as key local factors that influence investment decisions. By streamlining the analysis process, Built AI enables clients to gain a competitive edge in the challenging real estate market.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops. The company's primary focus is on enhancing its technology for harvesting green asparagus, while also exploring applications for other crops. Utilizing computer vision and machine learning, Muddy Machines' robotics platform enables precise harvesting by predicting crop maturity and selectively gathering produce, minimizing damage and ensuring freshness. In addition to harvesting, the company is investigating other labor-intensive agricultural tasks, such as weeding and precision applications, to further support farmers in improving efficiency and productivity in their operations.

OctaiPipe specializes in Federated Learning Operations (FL-Ops) for Edge AIoT devices. It streamlines the entire lifecycle of developing distributed IoT solutions, enabling data scientists to create scalable, adaptable systems while minimizing monitoring and maintenance costs.

DeepMirror develops AI-driven drug design software that combines human expertise with artificial intelligence. Its platform aims to help chemists focus on the most promising drug candidates by simplifying complex data analysis workflows, enabling more efficient drug molecule discovery and development.

Watermarq is a company focused on developing decision-useful data to enhance water security through investment and collective action. By utilizing advanced technologies such as artificial intelligence and machine learning, Watermarq extracts high-resolution data from satellite imagery to provide operational insights into various environmental, social, and governance risks. Their outputs include accessible information on water availability, quality, value, and access, tailored for stakeholders in the public, private, and financial services sectors. This approach allows clients to make informed decisions based on observed data, facilitating better risk assessments and fostering sustainable water management practices.

FourJaw Manufacturing Analytics provides a machine-agnostic data analytics platform that aims to maximize machining productivity through data-driven manufacturing. The platform offers real-time visibility of the shop floor, enabling users to monitor each machine's status, identify unplanned downtime, and respond quickly, with cloud-based monitoring and analytics designed for small and medium-sized manufacturers.

DeGould Ltd is a leading provider of automated vehicle inspection solutions, specializing in the development of imaging and machine learning software for quality assurance in the automotive industry. The company is dedicated to enhancing customer value by delivering cutting-edge automated vehicle inspections and high-resolution imaging technology. DeGould's innovative product, Auto-compact, captures a multitude of images in seconds using advanced lighting techniques, allowing for the accurate detection of defects such as scratches, dents, and wheel scuffs. By replacing traditional manual inspections with AI-driven solutions, DeGould enables original equipment manufacturers (OEMs) and their supply chain partners to improve quality control while reducing operational costs. With a commitment to continuous technological advancement, DeGould serves a growing and satisfied global customer base.

Drone Ag is a UK-based company focused on enhancing agricultural productivity through drone automation and artificial intelligence software. Comprising a team of farmers, agronomists, drone pilots, and software engineers, the company leverages its extensive experience from operating drone systems on its own 6,000-acre farm. Drone Ag develops practical software solutions and provides training courses for farmers and agronomy companies. Its technology includes systems that collect and analyze leaf-level crop data, allowing farmers to optimize the use of ground machinery and drone sprayers by targeting specific areas of fields at the right times. This approach not only helps in efficient crop assessment but also promotes precision agriculture, ensuring that farmers can enhance their operations effectively.

Zinia is a start-up that focuses on enhancing business outcomes through human-centered artificial intelligence. The company offers a platform that simplifies the integration of AI into organizational processes, allowing businesses to leverage AI-assisted decision-making without needing extensive training or technical expertise. This approach emphasizes simplicity, flexibility, adaptivity, and explainability, enabling organizations to rapidly realize the value of advanced AI solutions. Zinia serves a diverse range of industries and is backed by notable investors, reflecting its commitment to delivering effective AI-driven tools that align with business objectives.

Vamstar is a company that operates a B2B healthcare supply chain platform aimed at streamlining sourcing and procurement processes for medical device and pharmaceutical companies. The platform utilizes machine learning to capture demand for medical device and pharmaceutical products and services globally, matching this demand with suppliers worldwide. This enables customers to optimize their sourcing and procurement processes, reduce costs, and improve access to essential healthcare products and services. Vamstar's platform aggregates over $2 trillion of global demand across more than 70 countries, providing real-time analytics to facilitate transactions between buyers and suppliers. The company has onboarded some of the world's most innovative healthcare companies and continues to expand its capabilities in the digital marketplace.

Grayscale AI specializes in advanced machine learning algorithms and artificial intelligence solutions. It focuses on developing autonomous drone technologies using neuromorphic computing and AI at the intersection of Computer Vision, Neural Computation, and Robotics.

3AI is a machine learning company dedicated to building the world’s most advanced and usable AI for investment professionals, founded by an award-winning data science team of industry experts. 3AI is enhancing investor decision making with big data predictions and insights, enabling better judgement and results. ALBA is 3AI's self-learning equity prediction intelligence, producing reliably accurate global equity forecasts and insights. ALBA's top picks have consistently outperformed the S&P 500 since the 1980s.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops. The company's primary focus is on enhancing its technology for harvesting green asparagus, while also exploring applications for other crops. Utilizing computer vision and machine learning, Muddy Machines' robotics platform enables precise harvesting by predicting crop maturity and selectively gathering produce, minimizing damage and ensuring freshness. In addition to harvesting, the company is investigating other labor-intensive agricultural tasks, such as weeding and precision applications, to further support farmers in improving efficiency and productivity in their operations.

Abtrace offers AI-driven solutions that enhance medical expertise, reducing duplication and improving patient safety. Its machine learning algorithms assist healthcare professionals in managing current diseases, detecting new conditions early, and making informed decisions.

Predictiva is a company that provides an artificial intelligence platform designed to enhance financial trading and investment management using advanced Deep Reinforcement Learning algorithms. It offers solutions that cater to various financial assets, focusing on optimizing decision-making in complex financial markets. By leveraging cutting-edge AI technology, Predictiva aims to deliver predictable profits while minimizing risks, enabling users to engage in a more accurate, data-driven approach to trading. The platform is accessible to users without a background in AI or data science, utilizing autonomous machine learning algorithms to simplify the trading process and enhance financial intelligence for traders and investment managers.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops. The company's primary focus is on enhancing its technology for harvesting green asparagus, while also exploring applications for other crops. Utilizing computer vision and machine learning, Muddy Machines' robotics platform enables precise harvesting by predicting crop maturity and selectively gathering produce, minimizing damage and ensuring freshness. In addition to harvesting, the company is investigating other labor-intensive agricultural tasks, such as weeding and precision applications, to further support farmers in improving efficiency and productivity in their operations.

Glamorous AI develops an artificial intelligence driven drug discovery platform that accelerates pharmaceutical research by leveraging prior experimental results to identify and optimize chemical scaffolds, predict activities, and screen ultra-large chemical libraries. The platform addresses low-data, sparse, and noisy datasets, enabling the discovery of novel compounds and potential therapeutics.

People Matter is a software development company focused on enhancing mental health through innovative technology. It specializes in creating applications that monitor and analyze human behavior using machine learning and artificial intelligence. By leveraging a scientific understanding of psychology and data science, the company offers a proprietary measurement scale, known as PEBB, to help users identify the balance between their internal resources and external demands. This approach enables individuals to recognize what energizes them, ultimately facilitating lasting changes for improved well-being. People Matter aims to support those affected by stress, promoting healthier lifestyles and enhanced mental resilience.

Vamstar is a company that operates a B2B healthcare supply chain platform aimed at streamlining sourcing and procurement processes for medical device and pharmaceutical companies. The platform utilizes machine learning to capture demand for medical device and pharmaceutical products and services globally, matching this demand with suppliers worldwide. This enables customers to optimize their sourcing and procurement processes, reduce costs, and improve access to essential healthcare products and services. Vamstar's platform aggregates over $2 trillion of global demand across more than 70 countries, providing real-time analytics to facilitate transactions between buyers and suppliers. The company has onboarded some of the world's most innovative healthcare companies and continues to expand its capabilities in the digital marketplace.

Etiq AI develops an artificial intelligence-driven testing software. This platform analyzes data and models to identify potential biases in real-time, providing analytics for decision-making and applying fixes to mitigate these issues. It enables financial firms to improve business outcomes by deploying fairer applications.

People Matter is a software development company focused on enhancing mental health through innovative technology. It specializes in creating applications that monitor and analyze human behavior using machine learning and artificial intelligence. By leveraging a scientific understanding of psychology and data science, the company offers a proprietary measurement scale, known as PEBB, to help users identify the balance between their internal resources and external demands. This approach enables individuals to recognize what energizes them, ultimately facilitating lasting changes for improved well-being. People Matter aims to support those affected by stress, promoting healthier lifestyles and enhanced mental resilience.

Vamstar is a company that operates a B2B healthcare supply chain platform aimed at streamlining sourcing and procurement processes for medical device and pharmaceutical companies. The platform utilizes machine learning to capture demand for medical device and pharmaceutical products and services globally, matching this demand with suppliers worldwide. This enables customers to optimize their sourcing and procurement processes, reduce costs, and improve access to essential healthcare products and services. Vamstar's platform aggregates over $2 trillion of global demand across more than 70 countries, providing real-time analytics to facilitate transactions between buyers and suppliers. The company has onboarded some of the world's most innovative healthcare companies and continues to expand its capabilities in the digital marketplace.

Freyda is a technology company that provides an artificial intelligence based content management platform designed to eliminate manual data entry from documents. Its platform uses machine learning and artificial intelligence to recognize, extract, and normalize data, enabling financial services clients to automate repetitive data entry and retrieval tasks. By converting unstructured documents into structured data, Freyda allows users to extract, retrieve, and analyze information directly from documents with significantly higher efficiency, reportedly increasing productivity up to 75 times. The solution helps reduce obscure data and supports faster, smarter decision making in investing and other data-driven workflows.

Your FLOCK is a software-as-a-service (SaaS) platform that focuses on enhancing employee engagement and productivity within organizations, particularly for remote teams. The company leverages data and scientific insights into workplace motivations to develop machine learning-driven software. This software aids managers in coaching their teams by offering tailored activities that align with individual motivations, fostering better synchronization among team members. By emphasizing values and cultural alignment rather than merely skills and experience, Your FLOCK helps organizations create a more engaged workforce and improve overall team performance.

Abtrace offers AI-driven solutions that enhance medical expertise, reducing duplication and improving patient safety. Its machine learning algorithms assist healthcare professionals in managing current diseases, detecting new conditions early, and making informed decisions.

TutorHero is an online learning platform focused on providing high-quality tutoring in English and Mathematics for children. By utilizing machine learning, TutorHero customizes its tutoring services to meet the unique needs of each student, ensuring effective and personalized learning experiences. The platform offers one-to-one tutoring sessions, along with access to a wide array of revision videos and quizzes, all designed to facilitate learning from the comfort of home. Additionally, TutorHero features interactive revision lessons and creative tutoring methods aimed at fostering a love of learning, particularly to help students recover from educational setbacks experienced during the Covid-19 pandemic.

Decorte Future Industries develops artificial intelligence that extracts health data from audio captured by a standard microphone. Its technology uses machine learning to infer biometric measures such as cardiovascular and respiratory health, as well as other health markers, enabling clients to gather complex health information at scale through noninvasive audio analysis.

Intelligent AI develops an intelligent risk underwriting management platform that reduces global business risk and business interruption claims. The platform provides global location intelligence by combining artificial intelligence, data science, satellite imagery analysis, and risk data sets to deliver a comprehensive view of risk across insurers' or corporations' commercial property portfolios. This enables insurers and businesses to measure, predict, and mitigate commercial property risks in real-time and to gain actionable insights to safeguard their operations.

Liopa is a technology company focused on visual speech recognition and biometric verification. Founded in 2015 and based in Belfast, United Kingdom, it commercializes LipVerify, a biometric authentication solution, and develops SRAVI, a smartphone app that infers speech by analyzing lip movements. Employing artificial intelligence and machine learning, Liopa's technology interprets lip motion in video to derive spoken content, enabling communication in environments with noisy audio. SRAVI runs on mobile devices and is designed to help patients who have lost the ability to speak communicate with carers and loved ones, with trials in clinical settings such as intensive care units.

Intellegens is a company that specializes in applying machine learning to enhance innovation across various industries, including materials, chemicals, and manufacturing. Its flagship product, Alchemite™, was initially developed at the University of Cambridge and is designed to train deep neural networks using sparse and noisy data, where conventional machine learning methods often struggle. This platform allows scientists, engineers, and analysts to optimize formulations, products, and processes while significantly reducing the number of experiments required, often by up to 90%. Alchemite™ features a user-friendly web interface and powerful graphical analysis tools, and it can be seamlessly integrated into existing data science workflows. The technology has been successfully applied in multiple fields, including drug discovery, materials development, and additive manufacturing, thereby enabling clients to extract greater value from their data and accelerate their development timelines.

Corridor Technology is a technology company. It will entail the development of a fully standardised imagery and video data review system to allow asset inspectors in road, rail and energy corridors to review remote condition monitoring data (RCM), output from Corridor’s Machine Learning systems.

Kuano Ltd is a London-based company that specializes in providing quantum and artificial intelligence solutions for molecular design, particularly in the fields of drug discovery and development. Founded in 2020, Kuano has developed a unique discovery platform that integrates quantum simulation with AI-led chemistry, enabling the design of effective inhibitors by analyzing the mechanisms of target enzymes. This innovative approach allows for faster and more efficient development of drug candidates, enhancing the quality of new pharmaceuticals while simultaneously reducing the time required for discovery. The company's solutions are applicable across various sectors, including pharmaceuticals, crop protection, and industrial chemistry.

Vamstar is a company that operates a B2B healthcare supply chain platform aimed at streamlining sourcing and procurement processes for medical device and pharmaceutical companies. The platform utilizes machine learning to capture demand for medical device and pharmaceutical products and services globally, matching this demand with suppliers worldwide. This enables customers to optimize their sourcing and procurement processes, reduce costs, and improve access to essential healthcare products and services. Vamstar's platform aggregates over $2 trillion of global demand across more than 70 countries, providing real-time analytics to facilitate transactions between buyers and suppliers. The company has onboarded some of the world's most innovative healthcare companies and continues to expand its capabilities in the digital marketplace.

Knowledge Officer Ltd is a company based in Mitcham, United Kingdom, that specializes in providing software and solutions to address information overload and enhance the contextual understanding of content. Established in 2016, the company offers a platform that collects, filters, and aggregates relevant learning materials from various online sources. This enables users to access essential data tailored to their specific interests and career aspirations. Knowledge Officer focuses on equipping individuals with the most sought-after industry skills, facilitating their transition from novices to hireable professionals. Through personalized and dynamic learning paths, the platform supports users in achieving their career goals efficiently, incorporating engaging quizzes to assess their progress along the way.

Feebris Ltd is a UK-based company, founded in 2017 and headquartered in Saffron Walden, that specializes in developing artificial intelligence and machine learning algorithms for the detection of respiratory conditions. The company creates a mobile software platform that integrates with various point-of-care devices, such as digital stethoscopes and wearables. This technology is designed for community-based diagnosis and monitoring, allowing non-clinical users to identify early signs of deterioration in patients, thereby preventing complications and reducing the need for hospitalization. Feebris' team comprises experts in biomedical engineering, machine learning, global health, and business, all dedicated to transforming healthcare into a more equitable, personalized, and patient-driven system.

Chief.AI operates a global marketplace that provides on-demand access to artificial intelligence resources and services, enabling metered consumption and programmatic discovery of AI capabilities. The platform accelerates MLOps and reduces time to business insight by connecting machines to AI offerings, and it develops generative AI solutions that enhance data analysis and create novel models and algorithms for precision medicine and personalized treatments, helping healthcare providers and researchers deliver more accurate diagnoses, tailored therapies, and improved patient outcomes through data-driven insights and automation.

Cambridge Spark specializes in personalized Data Science training. They offer intensive bootcamps, apprenticeships, and bespoke corporate courses led by industry experts, supplemented by their AI-powered talent development platform.

Mendelian is a company focused on accelerating the diagnosis of rare genetic diseases. It employs advanced machine learning and knowledge reasoning techniques to analyze patients' clinical features, allowing physicians to identify the genes and mutations responsible for various undiagnosed conditions. By utilizing an intelligent agent, Mendelian streamlines the process of matching patients' phenotypic characteristics with potential genetic causes, thereby enhancing the ability of healthcare professionals to diagnose rare diseases more efficiently. This innovative approach aims to improve patient outcomes by enabling earlier detection and treatment of these complex conditions.

Filmily is a platform utilizing patented machine learning technology to automate the creation of branded content from mobile phones. It captures user-generated videos at events, analyzes them for context and content, then generates engaging short films for promotional purposes, benefiting event owners, sponsors, and fans alike.

We democratise sports performance data using machine learning, image recognition and analytics

BIOS Health is a pioneering company focused on developing neural digital therapies by harnessing data-driven insights from the human nervous system. Co-founded by researchers from Cambridge University, the firm aims to revolutionize precision medicine through the identification of neural biomarkers that link nerve activity to various medical conditions. BIOS's innovative approach holds promise for treating chronic diseases such as hypertension, diabetes, rheumatoid arthritis, and neurodegenerative disorders like Parkinson's and Alzheimer's. The company's expertise encompasses a diverse range of fields, including neuroscience, machine learning, software engineering, and biotechnology, allowing it to create advanced solutions for improving the quality of life for individuals suffering from these conditions. Additionally, BIOS is engaged in developing prosthetic connectors that standardize the interface between bionic devices and the body's nervous and soft-tissue systems, enabling enhanced control and feedback for patients with prosthetics.

Leapian research and develop the most efficient and effective ways for people to learn, manage knowledge and solve problems. We use emerging technologies to develop software and innovative algorithms. We aim to bring automation to the process of learning, finding information and mapping out knowledge.

Ajala develops enterprise speech technologies for low-resource languages, with a focus on African languages. The company offers voice automation technology, system integration, voice user interface design, and voice consulting, and provides voice verification to streamline authentication. Its products support five African languages and are in private beta, aiming to help organizations improve customer experience through multilingual speech solutions.

Scout is developing an innovative web assistance technology that aims to transform how individuals navigate the internet. The company is creating a content-aware browser that not only presents webpages but also comprehends their content and understands user intentions across multiple tasks. This advanced browser will function as a digital assistant, facilitating various online activities such as shopping by finding alternative prices and summarizing reviews, and event planning by checking users' calendars and suggesting routes. By employing techniques such as semantic graphing, natural language processing, and reinforcement learning, Scout's software will enable users to access relevant information seamlessly, eliminating the need for manual searches and enhancing overall online efficiency.

Vivacity Labs Ltd. is a London-based company that specializes in hyper-local data solutions for smart cities and intelligent transport systems. Founded in 2015, it focuses on enhancing urban mobility by providing services such as car parking sensing, bus occupancy monitoring, and comprehensive traffic analysis. The company employs advanced technologies, including machine learning and artificial intelligence, to install thousands of sensors across the UK, including in Milton Keynes, the UK's first transport-focused smart city. These sensors collect unprecedented data from video feeds, enabling deep insights into transport operations and predictive management. Additionally, Vivacity Labs offers video analytics services that extract meaningful information from visual data and provides detailed transport metrics, such as speed, counts, and heat maps, through API access and online interfaces. By empowering transport managers with enhanced insights, Vivacity Labs aims to reduce congestion and improve road safety.

Ajala develops enterprise speech technologies for low-resource languages, with a focus on African languages. The company offers voice automation technology, system integration, voice user interface design, and voice consulting, and provides voice verification to streamline authentication. Its products support five African languages and are in private beta, aiming to help organizations improve customer experience through multilingual speech solutions.

Founded in London in 2013, Sensing Feeling develops IoT-based products that use computer vision and machine learning to measure human behavior in real-time. Their solutions enhance safety, improve customer experiences, and help businesses manage risks effectively.

Outcomes Based Healthcare is a company dedicated to enhancing the healthcare system through outcome-based methodologies. It focuses on co-creating healthcare outcomes alongside patients, employing both academic and technical rigor in measuring and contracting for these outcomes. The company develops technology products that assist commissioners and health providers in tracking and measuring health outcomes for specific population segments. By integrating health and non-health datasets and utilizing big data analytics with machine learning techniques, Outcomes Based Healthcare aims to predict health outcomes effectively. Additionally, it creates smartphone applications to assess Patient Reported Outcomes. The team comprises professionals with diverse expertise in medicine, business, economics, computer science, and web technology, all committed to designing patient-centered care and empowering the health system through innovative technological solutions.

Warwick Analytics specializes in advanced predictive analytics and process automation. Its core product, PrediCX, uses proprietary machine learning technology to automatically classify text-heavy data with minimal human effort, enabling enhanced insights into verbatim text data, robotic process automation, and sentiment analysis for consumer feedback.