Innovate UK

Diffblue Limited, based in Oxford, United Kingdom, specializes in artificial intelligence software that automates various coding tasks, primarily focusing on enhancing Java development through automated testing solutions. Founded in 2016 as a spin-out from the AI research group at Oxford, Diffblue's technology autonomously generates unit tests, which helps developers save time and ensure software robustness. The software not only creates fully formed tests guaranteed to compile and run, but also identifies and fixes bugs, refactors code, and maintains regression tests. By providing insights into test coverage, code testability, and complexity, Diffblue aims to transform the software development process, making it more efficient and less error-prone.

Brarista specializes in AI-driven solutions tailored for online lingerie retailers, focusing on enhancing the customer experience through personalized bra fittings. The company has developed proprietary visual technologies that allow consumers to accurately determine their bra size from the comfort of their homes. By enabling users to take photos of their upper bodies using smartphones, laptops, or tablets, Brarista helps women better understand their bodies and make informed purchasing decisions. This innovative approach not only reduces sizing confusion but also significantly boosts retailers' revenues, with reported increases of up to 30%. Through its offerings, Brarista aims to make bra-fitting more accurate, accessible, and personalized for consumers.

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 text analytics, utilizing artificial intelligence and advanced linguistics to help businesses analyze customer feedback effectively. Their platform is designed to process large volumes of unstructured text, including online reviews and survey results, allowing clients to gain actionable insights from consumer data. By teaching computers to understand language and make informed decisions, Wordnerds transforms the internet into a vast resource for understanding customer preferences and behaviors. This capability enables companies to listen to their audience, comprehend the feedback, and identify suitable customers, ultimately enhancing their decision-making processes.

Purple Transform is an artificial intelligence company that enhances decision-making accuracy through digital intelligence. It offers a range of business intelligence software services, including trespasser detection, crowding analysis, vehicle analysis, IoT insights, and financial insights, to help organizations create safer and more secure workplaces.

Renude is a company that offers personalized skincare advice through advanced artificial intelligence technology. The business aims to make reliable and individualized consultations accessible to a broad audience by leveraging a team of dermatologists, formulation chemists, licensed aestheticians, data scientists, and machine learning engineers. Renude develops dermatologist-approved AI skin advisors that facilitate virtual consultations, allowing users to receive tailored skincare plans based on their specific skin goals, individual needs, preferences, budget, and lifestyle. Through this innovative approach, Renude seeks to empower individuals to achieve their skincare objectives effectively.

AMPLY Discovery is a biotechnology company focused on utilizing machine learning and synthetic biology to discover novel drug and nutraceutical candidates. By employing a proprietary platform that combines in silico and in vitro approaches, AMPLY aims to develop first-in-class therapeutic molecules to address significant health challenges, including cancer, metabolic diseases, and multi-drug resistant infections. The company’s innovative engine digitizes the natural diversity of life, allowing for the identification of potential drug candidates based on their functional properties. This methodology enhances the predictability and cost-effectiveness of drug discovery, enabling research entities to uncover new treatments for difficult-to-treat diseases.

OctaiPipe is a technology company that specializes in Federated Learning Operations (FL-Ops) specifically designed for Edge AIoT devices. Its architecture streamlines the entire lifecycle of AI model development, encompassing setup, training, deployment, fine-tuning, and continuous learning. By facilitating the creation of distributed IoT solutions, OctaiPipe empowers data scientists to develop systems that learn and adapt efficiently at scale. This approach not only enhances the operational effectiveness of critical infrastructure but also promotes sustainability, resilience, and security in a globally connected environment. Furthermore, OctaiPipe's solutions significantly reduce the costs associated with monitoring, maintenance, upgrades, and auditing, making it easier for organizations to manage their AI systems.

Multiverse Computing SL is a software development company based in San Sebastian, Spain, with an additional office in Toronto, Canada. Founded in 2019, the company specializes in creating quantum computing software that addresses complex financial and macro-economic challenges. Its products are tailored for various applications, including portfolio optimization, risk analysis, and market simulation. By leveraging probabilistic and nondeterministic technologies, Multiverse Computing aims to help organizations across diverse sectors such as banking, energy, manufacturing, and logistics navigate the complexities of the second quantum revolution, ultimately providing them with a competitive advantage in their respective industries.

Intellegens specializes in applying artificial intelligence and machine learning to enhance innovation in various fields, including materials, chemicals, and manufacturing. The company’s flagship software, Alchemite™, originated from research at the University of Cambridge and is designed to train deep neural networks using sparse and noisy data, where conventional methods often struggle. By utilizing Alchemite™, users can conduct analyses through a user-friendly web interface and leverage advanced graphical tools, which streamline the integration of AI into existing workflows and tools. This capability allows clients to achieve significant improvements, such as reducing the number of required experiments by up to 90%, thereby saving time and costs. Intellegens has successfully implemented its technology in diverse applications, including drug discovery, materials development, and manufacturing processes, enabling clients to extract greater value from incomplete datasets.

Genie AI Limited is a company based in London, United Kingdom, that specializes in artificial intelligence solutions for the legal sector. It has developed a platform called SuperDrafter, which utilizes machine learning to assist lawyers in drafting contracts more efficiently by leveraging the collective knowledge of their firm. Additionally, Genie AI offers a feature known as Anonymiser that automatically redacts sensitive information from contracts. The company also organizes educational events and training sessions focused on smart contracts and the application of artificial intelligence in legal practices. Founded in 2017, Genie AI aims to enhance the contract drafting process, allowing lawyers to manage client risks and negotiate effectively within tight deadlines.

Cogs AI is a London-based company founded in 2021 that focuses on providing personalized learning software for students with special educational needs and disabilities. The app is designed to enhance academic outcomes for neurodiverse children by adapting to their individual learning requirements. It generates tailored learning experiences, content, and tasks based on each child's unique cognitive traits, thereby enabling them to reach their full academic potential. Cogs AI aims to create a supportive learning environment that caters specifically to the needs of neurodiverse young people.

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

MeVitae operates an online recruitment platform designed to enhance diversity and inclusivity in hiring processes for organizations. The platform utilizes data-driven technology to assist businesses in attracting, screening, and retaining top talent while ensuring a fair approach to building diverse and productive teams. By integrating seamlessly with existing applicant tracking systems (ATS) and customer relationship management (CRM) tools, MeVitae allows companies to maintain their current processes without disruption. The solution emphasizes the importance of personalized hiring that aligns with a company's culture, all while eliminating algorithmic and neurological biases. This enables clients to achieve a more transparent and efficient automated talent acquisition process.

Brarista specializes in AI-driven solutions tailored for online lingerie retailers, focusing on enhancing the customer experience through personalized bra fittings. The company has developed proprietary visual technologies that allow consumers to accurately determine their bra size from the comfort of their homes. By enabling users to take photos of their upper bodies using smartphones, laptops, or tablets, Brarista helps women better understand their bodies and make informed purchasing decisions. This innovative approach not only reduces sizing confusion but also significantly boosts retailers' revenues, with reported increases of up to 30%. Through its offerings, Brarista aims to make bra-fitting more accurate, accessible, and personalized for consumers.

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 is a computer vision startup based in Cambridge, United Kingdom, founded in 2017. The company specializes in designing and developing simultaneous localization and mapping (SLAM) algorithms and advanced 3D sensing technologies tailored for automotive and industrial applications, including autonomous driving and machine automation. RoboK focuses on enhancing safety and performance in industrial workplaces through innovative, privacy-preserving technology that optimizes the capabilities of existing CCTV systems. By transforming visual data from large-scale transport and logistics infrastructures into actionable insights, RoboK collaborates with major operators in critical sectors to deliver enhanced object detection, classification, and tracking. The company aims to maximize the value of visual data, turning passive surveillance systems into proactive tools for efficiency and safety.

Watermarq specializes in providing decision-useful insights to promote investment and collective action for water security. The company utilizes innovative technologies, including artificial intelligence and machine learning, to analyze satellite imagery and generate high-resolution, basin-specific data on water availability, quality, value, and access. This data is designed to assist clients in the public, private, and financial services sectors in making informed decisions regarding environmental, social, and governance risks. By focusing on operational insights, Watermarq enables its clients to estimate future risks based on observed data, rather than relying on speculation.

Cogitat specializes in artificial intelligence technology that interprets brain waves and converts them into digital commands. The company has developed a machine learning-driven electroencephalogram decoding software that allows for seamless brain-computer interaction. This technology is designed to be device and subject agnostic, enabling users to navigate and interact with digital environments using only their thoughts. By utilizing real-life EEG data and integrating virtual reality technology, Cogitat's brainwave decoder eliminates the need for lengthy calibration sessions, enhancing the user experience and making brain-computer interfaces more accessible.

Productive Machines specializes in software optimization for the machining industry, helping manufacturers enhance productivity and sustainability. The company utilizes a digital twin of the machining process, incorporating physics, mechanics, dynamics, distortion, and vibration data to simulate and test millions of parameters. This approach allows manufacturers to refine their CAM and Gcode, ultimately improving part quality and reducing cycle times. By addressing issues such as chatter vibrations and tooling costs, Productive Machines enables machining companies to achieve better surface finishes and dimensional accuracy, streamlining their operations and reducing costs. The company emerged as a spin-out from the UK Advanced Manufacturing Research Centre, reflecting its commitment to advancing manufacturing technologies.

Lumai specializes in the development of fully optical computing systems, integrating photonics and machine learning to create faster and more energy-efficient computing solutions. By leveraging optical technologies, Lumai aims to provide significant advantages over traditional electronic systems, including reduced energy consumption and enhanced processing speeds. The company's innovations are designed to support the advancement of next-generation artificial intelligence, enabling consumers and businesses to benefit from quicker and more sustainable computing capabilities.

DeepMirror is a software platform that integrates human expertise with artificial intelligence to enhance drug discovery processes. The company specializes in predicting the properties of molecules and their affinity for various targets, thereby streamlining the research and development efforts of biopharmaceutical teams. By employing structured perception and feature fusion techniques, DeepMirror's platform delivers advanced 3D insights while maintaining low power consumption. This capability simplifies the analysis of complex data, ultimately allowing researchers to focus on the most promising drug candidates and conduct fewer experiments, leading to more efficient drug development.

Syndi is a digital health platform that focuses on enhancing health outcomes through technology and research, initially targeting mental health. The platform employs machine learning and digital phenotyping to provide personalized and immediate care by utilizing moment-by-moment passive smartphone data collection. This approach allows for effective and accessible support tailored to individual needs. Syndi's services aim to improve the treatment of invisible disabilities by facilitating connections between patients and healthcare providers, while also measuring the effectiveness of its applications and digital services. Through its innovative solutions, Syndi seeks to transform the way people access and engage with healthcare.

Elaniti leverages advances in machine learning and DNA sequencing to enhance soil biology insights for farmers and agronomists, facilitating informed decision-making. The company offers a predictive analytics service that links soil biology to essential crop health outcomes, such as yield, disease prevalence, and nutrient content. This approach enables growers to optimize input efficiency, thereby saving time and costs while promoting environmental sustainability. Elaniti's platform addresses the data gap in soil health by employing a combination of physics, microbiology, and biochemistry to improve crop health and yields. By focusing on the soil microbiome, Elaniti supports the transition to regenerative agriculture, emphasizing the importance of beneficial microbial activity and biodiversity. Through its innovative crop prediction insights, Elaniti aims to highlight the value of soil's complex biological makeup and contribute to a data-driven transition towards Net-Zero agriculture.

Multus is a London-based company established in 2019 that specializes in providing affordable and efficient growth media for the cultivated meat industry. By employing a machine learning approach, Multus develops entirely animal-free growth media tailored specifically for animal cells, helping cultivated meat companies scale their production while maintaining high performance. The company focuses on optimizing growth factor proteins produced by genetically engineered microorganisms, thereby eliminating the environmental drawbacks associated with traditional animal serum-based media. This innovative solution supports the growth of diverse animal cell types and tissues, enabling clients to produce sustainable meat products while minimizing the environmental and economic impacts of 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 that focuses on discovering new biological molecules through the integration of artificial intelligence, automation, and synthetic DNA. Founded in 2012, the company has developed a robotic platform known as EVA, which acts as a robot scientist capable of designing, conducting, and learning from its own experiments. LabGenius specializes in developing next-generation protein therapeutics aimed at addressing unmet medical needs, including conditions like Inflammatory Bowel Disease. Their innovative approach utilizes advanced machine learning and synthetic biology to engineer the properties of protein drugs, enhancing attributes such as protease stability and tissue penetration. This technology enables the efficient creation of protein therapeutics, providing physicians with access to cutting-edge treatments developed through robotic automation.

Libereat is a technology company specializing in allergen detection software aimed at enhancing food safety for businesses. Its machine learning software identifies dangerous errors in food data that traditional safety processes often overlook. By analyzing food labeling, packaging, supplier information, ingredient lists, and supply chain data, Libereat enables large brands to automatically detect and address potential issues before products reach consumers. This proactive approach helps prevent harm to consumers while mitigating significant costs, regulatory challenges, and reputational damage for food businesses.

AMPLY Discovery is a biotechnology company focused on utilizing machine learning and synthetic biology to discover novel drug and nutraceutical candidates. By employing a proprietary platform that combines in silico and in vitro approaches, AMPLY aims to develop first-in-class therapeutic molecules to address significant health challenges, including cancer, metabolic diseases, and multi-drug resistant infections. The company’s innovative engine digitizes the natural diversity of life, allowing for the identification of potential drug candidates based on their functional properties. This methodology enhances the predictability and cost-effectiveness of drug discovery, enabling research entities to uncover new treatments for difficult-to-treat diseases.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops by automating fieldwork. The company initially focuses on its green asparagus harvest technology while planning to expand its capabilities to other crops. Additionally, Muddy Machines is exploring the use of its robotic platform for other labor-intensive tasks, such as weeding and precision applications. The robots utilize computer vision and machine learning to assess crop maturity and perform selective harvesting, ensuring that crops are picked with care to minimize damage. This innovation enables farmers to increase local produce yields and maintain the freshness of their crops.

Built AI is a company that provides a real estate investment analysis platform aimed at assisting professionals in the commercial property sector. The platform utilizes artificial intelligence and natural language processing to enhance the analysis of investment opportunities. It offers a range of tools for screening and prospecting, investment analysis, and risk assessment, while also incorporating insights from historical deal pipelines and existing portfolios. By leveraging key local factors and social referencing, Built AI enables its clients to make informed decisions more efficiently, thus gaining a competitive edge in the real estate market.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops by automating fieldwork. The company initially focuses on its green asparagus harvest technology while planning to expand its capabilities to other crops. Additionally, Muddy Machines is exploring the use of its robotic platform for other labor-intensive tasks, such as weeding and precision applications. The robots utilize computer vision and machine learning to assess crop maturity and perform selective harvesting, ensuring that crops are picked with care to minimize damage. This innovation enables farmers to increase local produce yields and maintain the freshness of their crops.

OctaiPipe is a technology company that specializes in Federated Learning Operations (FL-Ops) specifically designed for Edge AIoT devices. Its architecture streamlines the entire lifecycle of AI model development, encompassing setup, training, deployment, fine-tuning, and continuous learning. By facilitating the creation of distributed IoT solutions, OctaiPipe empowers data scientists to develop systems that learn and adapt efficiently at scale. This approach not only enhances the operational effectiveness of critical infrastructure but also promotes sustainability, resilience, and security in a globally connected environment. Furthermore, OctaiPipe's solutions significantly reduce the costs associated with monitoring, maintenance, upgrades, and auditing, making it easier for organizations to manage their AI systems.

DeepMirror is a software platform that integrates human expertise with artificial intelligence to enhance drug discovery processes. The company specializes in predicting the properties of molecules and their affinity for various targets, thereby streamlining the research and development efforts of biopharmaceutical teams. By employing structured perception and feature fusion techniques, DeepMirror's platform delivers advanced 3D insights while maintaining low power consumption. This capability simplifies the analysis of complex data, ultimately allowing researchers to focus on the most promising drug candidates and conduct fewer experiments, leading to more efficient drug development.

Watermarq specializes in providing decision-useful insights to promote investment and collective action for water security. The company utilizes innovative technologies, including artificial intelligence and machine learning, to analyze satellite imagery and generate high-resolution, basin-specific data on water availability, quality, value, and access. This data is designed to assist clients in the public, private, and financial services sectors in making informed decisions regarding environmental, social, and governance risks. By focusing on operational insights, Watermarq enables its clients to estimate future risks based on observed data, rather than relying on speculation.

Zinia is a company that specializes in providing a human-centered AI platform designed to align artificial intelligence with business objectives. Its platform enables organizations to implement advanced AI solutions with minimal training and without the need for extensive technical expertise, facilitating rapid monetization of AI capabilities. Zinia focuses on simplicity, flexibility, adaptivity, and explainability in its offerings, allowing businesses across various industries and geographies to enhance decision-making processes through AI assistance. As an award-winning startup supported by prominent investors, Zinia aims to optimize business outcomes by leveraging cutting-edge AI technology.

Vamstar operates a B2B healthcare supply chain platform that addresses inefficiencies in the sourcing and procurement processes for medical devices and pharmaceuticals. By utilizing advanced data automation technologies such as machine learning, Vamstar aggregates demand from millions of sources, creating a comprehensive marketplace that connects buyers, including hospitals and health systems, with a vast network of suppliers. The platform provides real-time analytics and valuable tools for search and bid development, allowing users to quickly identify suitable opportunities and finalize transactions. With access to a significant volume of global demand and millions of contracts, Vamstar simplifies the procurement process, helping healthcare organizations reduce costs and improve access to essential products and services. The company is dedicated to building a digital marketplace that fosters innovation in healthcare and is supported by leading investors in the field.

Grayscale AI is a company focused on developing advanced machine learning algorithms and artificial intelligence solutions, particularly for autonomous drones. By leveraging neuromorphic computing, the company aims to enhance the integration of Computer Vision, Neural Computation, and Robotics. Grayscale AI operates a vision-based intelligence platform that facilitates integrated human-autonomous fleet operations, offering services such as real-time localization and mapping, sensor fusion, and visual motion estimation. These capabilities enable customers to utilize optimization-driven AI that mimics human neural networks. The company is backed by venture capital and has participated in notable programs like NATO DIANA, xTech, and Zenzic, reflecting its commitment to innovation in the field.

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 by automating fieldwork. The company initially focuses on its green asparagus harvest technology while planning to expand its capabilities to other crops. Additionally, Muddy Machines is exploring the use of its robotic platform for other labor-intensive tasks, such as weeding and precision applications. The robots utilize computer vision and machine learning to assess crop maturity and perform selective harvesting, ensuring that crops are picked with care to minimize damage. This innovation enables farmers to increase local produce yields and maintain the freshness of their crops.

Abtrace specializes in AI-based solutions designed to enhance medical expertise and streamline healthcare processes. The company focuses on developing clinical decision-making tools that transform the detection, monitoring, and treatment of chronic and long-term health conditions. By utilizing machine learning and big data techniques, Abtrace's software analyzes patient data to provide insights that help healthcare professionals manage current diseases and identify early signs of new conditions. This approach not only improves patient safety but also reduces the misuse of antibiotics and enhances treatment outcomes. Additionally, Abtrace's solutions automate key aspects of disease monitoring, enabling general practitioners and healthcare assistants to make informed decisions and deliver effective care while lowering practice costs and saving time.

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 by automating fieldwork. The company initially focuses on its green asparagus harvest technology while planning to expand its capabilities to other crops. Additionally, Muddy Machines is exploring the use of its robotic platform for other labor-intensive tasks, such as weeding and precision applications. The robots utilize computer vision and machine learning to assess crop maturity and perform selective harvesting, ensuring that crops are picked with care to minimize damage. This innovation enables farmers to increase local produce yields and maintain the freshness of their crops.

Glamorous AI develops an artificial intelligence-based drug discovery platform that focuses on low-data scenarios in pharmaceutical research. The platform utilizes AI to identify and optimize novel chemical compounds, facilitating the discovery of new medicines by analyzing prior experimental results. It is designed to handle sparse, noisy, and small datasets, making it particularly effective for tackling complex drug discovery challenges. By leveraging a large repository of pre-trained and customizable AI models, Glamorous AI enables researchers to screen extensive chemical libraries and address novel and first-in-class therapeutic targets, ultimately driving innovation in drug development and contributing to the advancement of treatments for various diseases.

People Matter is a software development company focused on mental health and well-being. It creates applications that utilize machine learning and artificial intelligence to monitor and understand human behavior. By applying a scientific approach to psychology and data science, People Matter's proprietary measurement scale, known as PEBB, helps users identify their inner resources and the external demands they face. This enables individuals to recognize what energizes them and facilitates lasting changes toward improved wellness and balance in their lives.

Vamstar operates a B2B healthcare supply chain platform that addresses inefficiencies in the sourcing and procurement processes for medical devices and pharmaceuticals. By utilizing advanced data automation technologies such as machine learning, Vamstar aggregates demand from millions of sources, creating a comprehensive marketplace that connects buyers, including hospitals and health systems, with a vast network of suppliers. The platform provides real-time analytics and valuable tools for search and bid development, allowing users to quickly identify suitable opportunities and finalize transactions. With access to a significant volume of global demand and millions of contracts, Vamstar simplifies the procurement process, helping healthcare organizations reduce costs and improve access to essential products and services. The company is dedicated to building a digital marketplace that fosters innovation in healthcare and is supported by leading investors in the field.

Etiq AI develops a lightweight AI testing tool that assists companies in assessing their data and models. The platform is designed to identify errors, risks, and potential bias issues, offering repair recommendations to enhance accuracy. By providing real-time analytics and decision-making capabilities, Etiq AI enables organizations, particularly in the financial sector, to address bias and mitigate associated risks. This functionality allows firms to deploy AI applications more effectively, ultimately leading to improved business outcomes.

People Matter is a software development company focused on mental health and well-being. It creates applications that utilize machine learning and artificial intelligence to monitor and understand human behavior. By applying a scientific approach to psychology and data science, People Matter's proprietary measurement scale, known as PEBB, helps users identify their inner resources and the external demands they face. This enables individuals to recognize what energizes them and facilitates lasting changes toward improved wellness and balance in their lives.

Vamstar operates a B2B healthcare supply chain platform that addresses inefficiencies in the sourcing and procurement processes for medical devices and pharmaceuticals. By utilizing advanced data automation technologies such as machine learning, Vamstar aggregates demand from millions of sources, creating a comprehensive marketplace that connects buyers, including hospitals and health systems, with a vast network of suppliers. The platform provides real-time analytics and valuable tools for search and bid development, allowing users to quickly identify suitable opportunities and finalize transactions. With access to a significant volume of global demand and millions of contracts, Vamstar simplifies the procurement process, helping healthcare organizations reduce costs and improve access to essential products and services. The company is dedicated to building a digital marketplace that fosters innovation in healthcare and is supported by leading investors in the field.

Freyda is a technology company that utilizes artificial intelligence to streamline data extraction from documents, specifically targeting the financial services sector. By automating the process of manual data entry, Freyda's platform enhances productivity, allowing users to manage data significantly faster. The company's machine learning algorithms are designed to recognize, extract, and normalize essential information, making it easier for clients to analyze data directly from documents without the need for manual intervention. This innovation not only simplifies workflows but also supports informed decision-making in investment strategies.

Your FLOCK is a software-as-a-service (SaaS) platform that enhances employee engagement and productivity by leveraging data and science to analyze motivations at work. The platform focuses on the cultural alignment and values of teams rather than solely on skills and experience. By providing machine learning-driven tools, Your FLOCK enables managers to effectively coach their teams through tailored activities that foster better synchronization and collaboration among team members. This approach aims to improve overall performance, particularly for remote teams, by creating a more engaged and motivated workforce.

Abtrace specializes in AI-based solutions designed to enhance medical expertise and streamline healthcare processes. The company focuses on developing clinical decision-making tools that transform the detection, monitoring, and treatment of chronic and long-term health conditions. By utilizing machine learning and big data techniques, Abtrace's software analyzes patient data to provide insights that help healthcare professionals manage current diseases and identify early signs of new conditions. This approach not only improves patient safety but also reduces the misuse of antibiotics and enhances treatment outcomes. Additionally, Abtrace's solutions automate key aspects of disease monitoring, enabling general practitioners and healthcare assistants to make informed decisions and deliver effective care while lowering practice costs and saving time.

TutorHero is an online learning platform focused on providing high-quality tutoring in English and Maths for children. By utilizing machine learning, TutorHero customizes tutoring sessions to meet individual student needs, ensuring effective learning experiences. The platform offers one-to-one tutoring, along with access to hundreds of revision videos and quizzes, all from the comfort of home. Additionally, TutorHero features interactive revision lessons and creative tutoring methods designed to foster a love of learning in students. This approach aims to help children catch up on educational gaps that may have arisen during the Covid-19 pandemic.

Decorte Future Industries is a venture-backed startup focused on utilizing artificial intelligence to extract health data from sound. The company has developed advanced machine-learning methods that enable the extraction of complex biometrics, including cardiovascular and respiratory health, from audio recorded via standard microphones. This innovative approach allows clients to gather intricate health data efficiently and at scale, simplifying the process of health monitoring.

Intelligent AI is a developer of a platform focused on risk underwriting management, aimed at reducing business interruption claims and addressing underinsurance in property underwriting. Established in April 2022 by Anthony Peake in Exeter, Devon, the company offers a solution that integrates global location intelligence with artificial intelligence, data science, satellite image analysis, and risk data sets. This comprehensive platform provides insurers and corporations with a 360-degree view of risks associated with their commercial property portfolios. By enabling real-time measurement, prediction, and mitigation of these risks, Intelligent AI equips businesses with actionable insights to protect their interests and enhance their risk management strategies.

Liopa Ltd, established in 2015 and based in Belfast, UK, specializes in biometric authentication and verification technology. The company's flagship product, LipVerify, uses advanced machine learning and AI to analyze lip movements and validate a user's identity. Liopa's innovative Visual Speech Recognition (VSR) technology, first commercialized through the SRAVI app, enables individuals who have lost their ability to speak to communicate by deciphering lip movements. This technology is currently being trialed in NHS Intensive Care units.

Intellegens specializes in applying artificial intelligence and machine learning to enhance innovation in various fields, including materials, chemicals, and manufacturing. The company’s flagship software, Alchemite™, originated from research at the University of Cambridge and is designed to train deep neural networks using sparse and noisy data, where conventional methods often struggle. By utilizing Alchemite™, users can conduct analyses through a user-friendly web interface and leverage advanced graphical tools, which streamline the integration of AI into existing workflows and tools. This capability allows clients to achieve significant improvements, such as reducing the number of required experiments by up to 90%, thereby saving time and costs. Intellegens has successfully implemented its technology in diverse applications, including drug discovery, materials development, and manufacturing processes, enabling clients to extract greater value from incomplete datasets.

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 specializes in developing quantum and AI solutions aimed at molecular design, particularly in the fields of drug discovery and development. Founded in 2020 and based in London, the company integrates quantum simulation with machine learning to create effective enzyme inhibitors. Its innovative discovery platform employs target quantum mapping alongside AI-driven chemistry, facilitating the faster and more efficient development of superior drug candidates. Kuano's technology is applicable across several sectors, including pharmaceuticals, crop protection, and industrial chemistry, ultimately enhancing the quality of new therapeutics while reducing the time required for their discovery.

Vamstar operates a B2B healthcare supply chain platform that addresses inefficiencies in the sourcing and procurement processes for medical devices and pharmaceuticals. By utilizing advanced data automation technologies such as machine learning, Vamstar aggregates demand from millions of sources, creating a comprehensive marketplace that connects buyers, including hospitals and health systems, with a vast network of suppliers. The platform provides real-time analytics and valuable tools for search and bid development, allowing users to quickly identify suitable opportunities and finalize transactions. With access to a significant volume of global demand and millions of contracts, Vamstar simplifies the procurement process, helping healthcare organizations reduce costs and improve access to essential products and services. The company is dedicated to building a digital marketplace that fosters innovation in healthcare and is supported by leading investors in the field.

Knowledge Officer Ltd is a UK-based company that provides software solutions aimed at managing information overload and enhancing the relevance of content for users. Established in 2016, the company offers a platform that collects and filters content from various online resources, utilizing machine learning and human expertise to deliver essential information tailored to individual needs. This approach enables users to create personalized and dynamic learning paths aligned with their career aspirations. Knowledge Officer focuses on equipping individuals with industry-relevant skills, facilitating a smooth transition from novice to employable professional. By offering targeted learning experiences and assessments, the company aims to support users in achieving their career goals efficiently.

Feebris Ltd is a technology company founded in 2017 and based in Saffron Walden, United Kingdom. The company specializes in developing artificial intelligence and machine learning algorithms aimed at the detection of respiratory conditions. Its platform integrates with various point-of-care devices, such as digital stethoscopes and wearables, to facilitate community-based diagnosis and monitoring. By leveraging its AI-driven software, Feebris enables non-clinical users to identify clinical deterioration early, thereby helping to prevent complications and reduce hospitalizations. The team at Feebris combines expertise in biomedical engineering, machine learning, and global health, all driven by a commitment to transforming healthcare into a more equitable, personalized, and patient-centered system.

Chief.AI marshals global AI resources, channeling them on demand for metered consumption in a marketplace environment. Chief.AI accelerates MLOps and reduces time to business insight, making it easy to discover and consume artificial intelligence programmatically. Connect your machine to Chief Artificial Intelligence and benefit from the world's premier AI services.

Cambridge Spark specializes in personalized data science training, providing a range of educational services including intensive boot camps, graduate schemes, apprenticeships, and customized corporate training courses. The company leverages its proprietary AI-powered platform to enhance the learning experience and enable organizations to develop their workforce in data science and artificial intelligence. By focusing on practical, industry-relevant skills, Cambridge Spark supports businesses in accelerating their digital transformation efforts through tailored educational solutions delivered by experts from both industry and academia.

Filmily is a fan engagement platform that leverages patented machine learning technology to automate the creation of branded content from mobile devices. By capturing and analyzing videos recorded by attendees at events, Filmily enhances the value of user-generated content for event owners and sponsors. The platform identifies and curates key moments, transforming them into compelling short-form films optimized for promotional use. This approach not only benefits sponsors by allowing them to brand the content effectively but also connects event owners with their fans in a meaningful way. Fans enjoy the opportunity to relive and share personalized video stories, enriching their overall experience.

BIOS Health is a pioneering company focused on developing neural digital therapies by leveraging data from the human nervous system. By identifying neural biomarkers that correlate nerve activity to specific medical conditions, BIOS aims to revolutionize precision medicine. Their research offers the potential for innovative treatments for a range of chronic diseases, including hypertension, diabetes, and neurodegenerative disorders such as Parkinson's and Alzheimer's. Co-founded by experts from Cambridge University, the team includes professionals from diverse fields such as neuroscience, machine learning, and biotechnology. Additionally, BIOS is working on prosthetic connectors that standardize connections between bionic devices and neural systems, facilitating neural control and feedback for amputees. This dual approach positions BIOS at the forefront of improving the quality of life for individuals with chronic conditions and those requiring prosthetic solutions.

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

Sentireal specializes in developing software applications that transform mobile devices and AR/VR headsets into intelligent learning assistants for the medical and healthcare sector. Their platforms deliver personalized, immersive training and guidance, continuously assessing learning progress using AI. By adapting content to real-time user activities and needs, Sentireal enhances learning outcomes and facilitates personalized healthcare guidance.

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 specializes in developing speech technologies tailored for low-resource languages, particularly those spoken in Africa. The company is currently in private beta, offering products that support five African languages. Its technology encompasses system integration, voice user interfaces, and voice consulting, while also enhancing authentication processes through voice verification. By focusing on these specialized services, Ajala aims to help businesses improve their customer experience and address the unique challenges associated with low-resourced languages.

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. specializes in providing hyper-local data solutions for smart cities and intelligent transport systems. Founded in 2015 and based in London, the company offers a range of services that include car parking and bus occupancy sensing, traffic monitoring, and insights into rail management through predictive analytics. To enhance urban transport management, Vivacity is deploying thousands of sensors across the UK, including in Milton Keynes, which is being developed as the country's first transport-focused smart city. These sensors leverage machine learning and artificial intelligence to analyze video feeds and generate valuable data on traffic patterns, cyclist movements, and more. Vivacity's advanced predictive algorithms aim to improve road safety and reduce congestion by providing transport managers with unprecedented insights into future transport scenarios.

Ajala specializes in developing speech technologies tailored for low-resource languages, particularly those spoken in Africa. The company is currently in private beta, offering products that support five African languages. Its technology encompasses system integration, voice user interfaces, and voice consulting, while also enhancing authentication processes through voice verification. By focusing on these specialized services, Ajala aims to help businesses improve their customer experience and address the unique challenges associated with low-resourced languages.

Sensing Feeling Limited, established in 2013 and based in London, specializes in developing IoT-based human behavior sensing products for businesses. The company leverages advanced technology, including computer vision and machine learning, to provide real-time measurement of behavioral indices. Sensing Feeling's products enhance the reliability and effectiveness of analyzing aggregated human behavior in physical spaces, allowing organizations to better understand risks, improve safety, and enhance customer experiences. By utilizing smart visual sensing software, the company enables accurate, simultaneous behavior sensing of individuals and groups, as well as vehicles and other assets, thereby assisting businesses in managing safety and risk within critical operational environments.

Warwick Analytics specializes in advanced predictive analytics and process automation, focusing on transforming raw data into structured formats. The company's flagship product, PrediCX, employs proprietary technology known as Optimised Learning to automatically classify textual data using machine learning. This approach minimizes the need for human input while maximizing accuracy in data labeling. PrediCX is versatile, providing insights into verbatim text data, facilitating Robotic Process Automation, and conducting sentiment analysis for consumer feedback. By lowering the cost barriers associated with predictive analytics, Warwick Analytics enables customers to enhance quality, improve throughput, and better predict customer behavior and associated risks.