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Emmi AI specializes in real-time, AI-driven industrial simulation. Their platform, powered by AI and physics models, calculates complex physical processes instantly, enabling industries like aerospace, automotive, and energy to accelerate product development and reduce computational costs.

BLNG is a generative AI company specializing in design software and data products tailored for the jewelry industry. It offers AI-powered tools that empower creators to personalize jewelry designs, enhancing the creative process and enabling users to forge meaningful connections with their creations. By leveraging advanced AI technology, BLNG transforms the jewelry design experience and helps businesses realize the potential of AI-driven solutions, positioning itself as a leader in the future of personalized jewelry design.

Oze is a technology company focused on bringing small and medium-sized enterprises (SMEs) in Africa into the digital age. It offers an application that allows businesses to easily track sales, expenses, and customer information. By analyzing this data, Oze provides tailored recommendations and business education to help entrepreneurs improve their operations. The platform also connects users with Oze Coaches for additional support, enhancing their learning experience. With over 150,000 registered users, Oze claims to be the largest online community of SMEs in West Africa. The company leverages machine learning to assess credit risk, enabling it to offer affordable capital through banking partners. Notably, 97% of businesses that have utilized Oze for at least nine months report growth or profitability, indicating the effectiveness of its services in fostering business success.

GetVocal AI specializes in automating customer service processes for businesses. It offers a conversational AI phone agent platform that can handle call outreach and customer service tasks, freeing up human agents for more complex issues. The platform uses AI to source new leads, prioritize warm leads, engage in conversations, and continuously learn, enabling companies to grow sales without increasing their workforce.

Orakl Oncology specializes in expediting cancer drug discovery by employing advanced biology and AI-driven analysis. It maintains a unique collection of patient tumor avatars, integrating biological and clinical data, to create realistic tumor models that mimic real-life drug responses. By mining multi-modal experimental data and combining it with deep patient data, Orakl enables oncology companies to identify relevant targets and develop more effective treatments at an accelerated pace.

Prewave GmbH is a technology company based in Vienna, Austria, founded in 2017. It specializes in developing a data analytics platform that utilizes machine learning to predict risks in supply chain networks. By analyzing social media data, Prewave's solution monitors and communicates potential supply chain anomalies, allowing businesses to anticipate upcoming risk events and address sustainability challenges. The company's innovative approach enables organizations to enhance their logistics management and mitigate disruptions through timely and informed decision-making.

Exactly.ai is an artwork creation platform. It allows users to create their personal AI models trained on their work and publish them.

EnliteAI specializes in applying artificial intelligence techniques, particularly Reinforcement Learning, to complex decision-making problems in sectors such as logistics, manufacturing, and power grids. The company is known for developing MazeRL, an open-source framework that facilitates the practical application of Reinforcement Learning. In addition, EnliteAI offers Detekt, a modern geospatial data platform designed for object detection in mobile mapping, which supports the entire asset management lifecycle. This platform provides advanced capabilities for infrastructure and asset management professionals, enabling them to efficiently monitor and analyze assets. By leveraging cutting-edge technologies in computer vision and reinforcement learning, EnliteAI aims to enhance the effectiveness of asset management practices across various industries.

Genie empowers data science and R&D teams to rapidly turn their data analysis code, AI models and simulations into shareable web applications. With Genie’s low/no-code web development tools, they can build a wide range of data apps, from analytics dashboards to AI prototypes and products, simulation apps and smart tools, driving business impact faster and at a fraction of the cost of traditional software development.

Orakl Oncology specializes in expediting cancer drug discovery by employing advanced biology and AI-driven analysis. It maintains a unique collection of patient tumor avatars, integrating biological and clinical data, to create realistic tumor models that mimic real-life drug responses. By mining multi-modal experimental data and combining it with deep patient data, Orakl enables oncology companies to identify relevant targets and develop more effective treatments at an accelerated pace.

Sylvera is a carbon data provider based in London, United Kingdom, established in 2020. The company specializes in developing machine learning-based tools to monitor the performance of carbon offset projects. These tools enable remote tracking of project performance at intervals of up to a week, facilitating the integration of carbon data into both internal and external reporting frameworks. By offering enhanced transparency around carbon offsets, Sylvera aims to assist businesses and governments in reducing reputational risks associated with carbon emissions, ultimately promoting real-world climate action.

Prewave GmbH is a technology company based in Vienna, Austria, founded in 2017. It specializes in developing a data analytics platform that utilizes machine learning to predict risks in supply chain networks. By analyzing social media data, Prewave's solution monitors and communicates potential supply chain anomalies, allowing businesses to anticipate upcoming risk events and address sustainability challenges. The company's innovative approach enables organizations to enhance their logistics management and mitigate disruptions through timely and informed decision-making.

Solvo.ai is a developer of an artificial intelligence-based platform aimed at enhancing the resilience and efficiency of global supply chains. The company focuses on creating a human-influenced automated decision-making system that integrates human expertise with advanced machine learning technology. This platform is designed to facilitate better management of supply chain dynamics by offering an optimization engine that allows businesses to run scenarios, evaluate tradeoffs, and improve transparency. By addressing real-world challenges, Solvo.ai helps organizations respond effectively to disruptions and changing market conditions, enabling them to mitigate risks and achieve improved operational outcomes.

Prewave GmbH is a technology company based in Vienna, Austria, founded in 2017. It specializes in developing a data analytics platform that utilizes machine learning to predict risks in supply chain networks. By analyzing social media data, Prewave's solution monitors and communicates potential supply chain anomalies, allowing businesses to anticipate upcoming risk events and address sustainability challenges. The company's innovative approach enables organizations to enhance their logistics management and mitigate disruptions through timely and informed decision-making.

Bitfount is a company that offers an innovative platform for federated data science and artificial intelligence, facilitating secure collaborations between organizations without the need for data sharing. Its platform employs federated learning and other privacy-preserving technologies, allowing data providers, data scientists, and governance teams to collaborate effectively. By enabling these partnerships, Bitfount aims to enhance the training of advanced AI models while maintaining the highest standards of privacy and data integrity. The company's focus on privacy-enhancing measures positions it as a leader in the field of data collaboration.

Yokoy is a FinTech company specializing in automated spend management for medium to large enterprises. Its platform integrates expense management, supplier invoice processing, and smart corporate cards, leveraging AI and machine learning to streamline workflows and enhance efficiency over time. The solution enables users to upload images of expenses for automatic report generation, saving time, preventing fraud, and providing valuable data insights. Founded in 2019 as Yokoy Group AG (formerly Expense Robot GmbH), the company aims to revolutionize spend management through innovative technology.

Boltzbit Limited, established in 2020 and headquartered in London, United Kingdom, focuses on developing an artificial intelligence platform that enhances the speed and efficiency of generating and learning models. The company specializes in creating self-learning models that streamline and automate the development of AI software. By providing tools for dynamic strategy optimization, intelligent data analytics, and interactive graphics generation, Boltzbit enables data scientists to accelerate the prototyping of various neural network frameworks, facilitating a simplified learning experience in artificial intelligence technologies.

Tenyks is a University of Cambridge spin-out focused on enhancing interactions between humanity and artificial intelligence to mitigate risks associated with advanced AI technologies. The company has developed a monitoring and validation platform tailored for machine learning engineers, particularly those working with computer vision data. This platform facilitates the rapid generation of production-ready models by enabling users to validate, test, and monitor model behavior effectively. It identifies common failure patterns and explains the reasons behind distribution shifts, thereby streamlining the troubleshooting process. By reducing the amount of labeled data needed to achieve high performance, Tenyks empowers AI developers to build more reliable machine learning operations efficiently. The foundation of Tenyks' technology stems from extensive research in Explainable AI, including two PhD and one Master's theses conducted at the University of Cambridge.

Pimloc Ltd., established in 2016 and headquartered in London, specializes in deep learning technology for video security and data privacy. The company's flagship product, Secure Redact, is an automated platform designed to bulk redact personal data from video content, safeguarding sensitive information and ensuring visual privacy for both private businesses and public organizations. Pimloc's mission is to advance visual AI systems responsibly, protecting individuals' freedoms by enabling safe management of video surveillance data.

Oze is a technology company focused on bringing small and medium-sized enterprises (SMEs) in Africa into the digital age. It offers an application that allows businesses to easily track sales, expenses, and customer information. By analyzing this data, Oze provides tailored recommendations and business education to help entrepreneurs improve their operations. The platform also connects users with Oze Coaches for additional support, enhancing their learning experience. With over 150,000 registered users, Oze claims to be the largest online community of SMEs in West Africa. The company leverages machine learning to assess credit risk, enabling it to offer affordable capital through banking partners. Notably, 97% of businesses that have utilized Oze for at least nine months report growth or profitability, indicating the effectiveness of its services in fostering business success.

TurinTech is a leading provider of automated code optimization solutions designed for machine learning and data-intensive applications. The company leverages proprietary algorithms and advanced artificial intelligence techniques to enhance the performance of machine learning models, transforming raw data into efficient code. By optimizing existing code and improving the speed of generic programming, TurinTech enables businesses to accelerate their time-to-production, reduce development costs, and minimize computational expenses. This focus on efficiency not only boosts productivity but also contributes to sustainability by lowering carbon emissions associated with computing processes.

Sylvera is a carbon data provider based in London, United Kingdom, established in 2020. The company specializes in developing machine learning-based tools to monitor the performance of carbon offset projects. These tools enable remote tracking of project performance at intervals of up to a week, facilitating the integration of carbon data into both internal and external reporting frameworks. By offering enhanced transparency around carbon offsets, Sylvera aims to assist businesses and governments in reducing reputational risks associated with carbon emissions, ultimately promoting real-world climate action.

Scalarr Inc. is a technology company founded in 2016 and based in Wilmington, Delaware, specializing in machine learning-based anti-fraud solutions for mobile app developers and advertising networks. The company focuses on detecting ad install fraud, utilizing advanced algorithms to combat various types of fraud such as attribution fraud, bots, emulators, and incentive injections. Scalarr's platform employs both unsupervised and semi-supervised machine learning techniques to identify and analyze fraud patterns in real-time, allowing clients to proactively address fraudulent activities. By providing high accuracy in detection and timely alerts, Scalarr aims to protect the integrity of mobile app economies and help businesses maintain control over their advertising investments.

MyDataModels is a technology company that specializes in developing TADA, an AI-driven analytics platform designed for professionals across various industries. TADA enables users to extract valuable insights from their data and harness the power of machine learning without requiring extensive data science expertise. The platform is particularly beneficial in sectors where data may be underutilized, such as manufacturing, medical research, supply chain, and production, as well as in research and development. By simplifying the process of building and running custom predictive models, MyDataModels allows organizations to optimize their operations, make informed predictions, and derive actionable insights from their data efficiently and affordably.

Sense Street Ltd. is a company based in Sevenoaks, United Kingdom, that specializes in capital market communications. Established in 2019, it focuses on transforming unstructured market conversations into a detailed understanding of liquidity in over-the-counter (OTC) capital markets. The company employs supervised learning algorithms to train neural networks, aiming to exceed the performance of traditional heuristic and unsupervised methods. By carefully annotating market conversations and structuring datasets, Sense Street enables investment banks and capital markets to effectively manage complex interactions with asset managers, facilitating the development of data-driven business models.

Pimloc Ltd., established in 2016 and headquartered in London, specializes in deep learning technology for video security and data privacy. The company's flagship product, Secure Redact, is an automated platform designed to bulk redact personal data from video content, safeguarding sensitive information and ensuring visual privacy for both private businesses and public organizations. Pimloc's mission is to advance visual AI systems responsibly, protecting individuals' freedoms by enabling safe management of video surveillance data.

ThinkSono Ltd is a London-based company that specializes in the development of software for diagnosing deep vein thrombosis (DVT) at the point of care. Founded in 2016, the firm has created an innovative automatic diagnostic system that leverages deep learning technologies to guide healthcare professionals in using a portable scanner. This system instructs users on where to place the probe on the skin to capture ultrasound images, facilitating rapid diagnosis. By enabling healthcare providers to assess DVT within ten minutes, ThinkSono aims to improve patient outcomes and streamline the diagnostic process in various medical settings.

Sense Street Ltd. is a company based in Sevenoaks, United Kingdom, that specializes in capital market communications. Established in 2019, it focuses on transforming unstructured market conversations into a detailed understanding of liquidity in over-the-counter (OTC) capital markets. The company employs supervised learning algorithms to train neural networks, aiming to exceed the performance of traditional heuristic and unsupervised methods. By carefully annotating market conversations and structuring datasets, Sense Street enables investment banks and capital markets to effectively manage complex interactions with asset managers, facilitating the development of data-driven business models.

Deep Render Ltd. is a London-based AI startup that specializes in developing advanced media compression algorithms. Originating as a spin-out from the Department of Computing at Imperial College London, the company focuses on leveraging proprietary and patented technology to enhance media compression through deep learning techniques. Its innovative approach includes the application of density estimation, unsupervised learning, and quantum methods, resulting in state-of-the-art Biological Image Compression that achieves a minimum of 50% efficiency improvement over existing standards. Additionally, Deep Render is recognized for creating the first AI codec capable of real-time video playback, which allows for enhanced market opportunities and significant cost reductions for users.

MindsDB Inc. is a company specializing in an automated machine learning platform that empowers users to derive insights from their data. Founded in 2017 by Adam Carrigan and Jorge Torres, the company aims to democratize machine learning, allowing users to pose predictive questions and receive accurate answers. MindsDB offers a versatile platform applicable in various sectors, including retail, financial services, healthcare, and manufacturing, facilitating tasks such as credit scoring, customer lifetime value optimization, fraud detection, and predictive maintenance. By automating the processes involved in generating quality predictions, MindsDB enables organizations to leverage the capabilities of a skilled data science team at a fraction of the cost. The firm is headquartered in Berkeley, California, and gained recognition as one of America's most promising AI companies after graduating from YCombinator's Winter 2020 batch.

TWAICE is a technology company specializing in analytics software aimed at enhancing the transparency and predictability of lithium-ion batteries. It develops predictive analytics tools that optimize both the development and operational phases of battery systems, particularly in electric vehicles. Central to TWAICE's offerings is its digital twin technology, which integrates in-depth battery knowledge with artificial intelligence to assess battery condition and forecast aging and performance. This approach allows users to analyze the status of batteries in real-time, enabling battery manufacturers and integrators to refine system configurations and validate their battery systems for improved reliability and efficiency.

TWAICE is a technology company specializing in analytics software aimed at enhancing the transparency and predictability of lithium-ion batteries. It develops predictive analytics tools that optimize both the development and operational phases of battery systems, particularly in electric vehicles. Central to TWAICE's offerings is its digital twin technology, which integrates in-depth battery knowledge with artificial intelligence to assess battery condition and forecast aging and performance. This approach allows users to analyze the status of batteries in real-time, enabling battery manufacturers and integrators to refine system configurations and validate their battery systems for improved reliability and efficiency.

Conundrum is a prominent provider of Industrial AI software designed to enhance digital transformation in the metal, mining, and steel industries. The company offers a comprehensive platform that facilitates the development of efficient, enterprise-scale industrial AI applications. Central to its technology is an open, data-driven AI architecture that simplifies the processes of data science and application development. This platform incorporates artificial intelligence-powered control services and utilizes physics-informed machine learning to optimize industrial processes. By leveraging this advanced technology, Conundrum enables clients to improve production yields, reduce energy consumption, and achieve greater sustainability while minimizing their environmental impact.

Fraugster, established in 2014, is a German-Israeli company specializing in anti-fraud solutions. Headquartered in Leeds, UK, the company designs and builds advanced security systems powered by artificial intelligence and behavioral analytics. Fraugster's platform anticipates and prevents fraudulent attacks in real-time, helping businesses minimize cyber threats and maximize revenues. Additionally, Fraugster Academy offers educational courses to enhance knowledge in fraud prevention and cybersecurity.

MindsDB Inc. is a company specializing in an automated machine learning platform that empowers users to derive insights from their data. Founded in 2017 by Adam Carrigan and Jorge Torres, the company aims to democratize machine learning, allowing users to pose predictive questions and receive accurate answers. MindsDB offers a versatile platform applicable in various sectors, including retail, financial services, healthcare, and manufacturing, facilitating tasks such as credit scoring, customer lifetime value optimization, fraud detection, and predictive maintenance. By automating the processes involved in generating quality predictions, MindsDB enables organizations to leverage the capabilities of a skilled data science team at a fraction of the cost. The firm is headquartered in Berkeley, California, and gained recognition as one of America's most promising AI companies after graduating from YCombinator's Winter 2020 batch.

TWAICE is a technology company specializing in analytics software aimed at enhancing the transparency and predictability of lithium-ion batteries. It develops predictive analytics tools that optimize both the development and operational phases of battery systems, particularly in electric vehicles. Central to TWAICE's offerings is its digital twin technology, which integrates in-depth battery knowledge with artificial intelligence to assess battery condition and forecast aging and performance. This approach allows users to analyze the status of batteries in real-time, enabling battery manufacturers and integrators to refine system configurations and validate their battery systems for improved reliability and efficiency.

Metis Labs Limited, established in 2017 and headquartered in London, United Kingdom, specializes in developing advanced artificial intelligence software tailored for complex industrial systems within the manufacturing sector. The company focuses on enhancing production efficiency through AI-driven Process Control and Quality Assurance systems. Metis Labs has distinguished itself as a pioneer in deploying Generative AI technologies, achieving significant milestones such as reducing waste by over 80% for major global brands. Their innovative approach includes creating safe methodologies for implementing AI control on substantial production lines and miniaturizing AI solutions to operate efficiently on legacy Programmable Logic Controllers. Through its technology, Metis Labs aims to minimize the environmental impact of large-scale manufacturing while boosting profitability for its clients.

Scalarr Inc. is a technology company founded in 2016 and based in Wilmington, Delaware, specializing in machine learning-based anti-fraud solutions for mobile app developers and advertising networks. The company focuses on detecting ad install fraud, utilizing advanced algorithms to combat various types of fraud such as attribution fraud, bots, emulators, and incentive injections. Scalarr's platform employs both unsupervised and semi-supervised machine learning techniques to identify and analyze fraud patterns in real-time, allowing clients to proactively address fraudulent activities. By providing high accuracy in detection and timely alerts, Scalarr aims to protect the integrity of mobile app economies and help businesses maintain control over their advertising investments.

Prewave GmbH is a technology company based in Vienna, Austria, founded in 2017. It specializes in developing a data analytics platform that utilizes machine learning to predict risks in supply chain networks. By analyzing social media data, Prewave's solution monitors and communicates potential supply chain anomalies, allowing businesses to anticipate upcoming risk events and address sustainability challenges. The company's innovative approach enables organizations to enhance their logistics management and mitigate disruptions through timely and informed decision-making.

ThinkSono Ltd is a London-based company that specializes in the development of software for diagnosing deep vein thrombosis (DVT) at the point of care. Founded in 2016, the firm has created an innovative automatic diagnostic system that leverages deep learning technologies to guide healthcare professionals in using a portable scanner. This system instructs users on where to place the probe on the skin to capture ultrasound images, facilitating rapid diagnosis. By enabling healthcare providers to assess DVT within ten minutes, ThinkSono aims to improve patient outcomes and streamline the diagnostic process in various medical settings.

Pace is a London-based company founded in 2017 that specializes in developing a revenue management platform tailored for the hospitality sector, specifically focusing on hotels and hostels. The platform addresses the challenges of fluctuating demand for fixed room inventories by leveraging advanced machine learning and proprietary algorithms to automate pricing decisions. By providing real-time forecasting, price sensitivity analysis, and optimization capabilities, Pace enables hotel owners to respond swiftly to market dynamics, ensuring that they achieve optimal occupancy rates and maximize revenues. The company differentiates itself by adopting a technology-driven approach in the hospitality industry, as opposed to competitors that often lack this focus. Pace's solutions allow users to effectively align pricing strategies with demand fluctuations, enhancing profitability and operational efficiency.

Pikd GmbH, established in 2014 and headquartered in Vienna, Austria, specializes in developing software that utilizes artificial intelligence to analyze and filter video content. The company's technology leverages sensor and image data to identify significant moments within videos, facilitating targeted searches for specific content. Pikd offers a range of tools, including the Content Categorizer for video classification, the Content Sourcing Tool to assist editors in locating relevant material, and a Video Editing Tool for content creation. Their platform employs machine learning to automate various tasks, enhancing productivity across different sectors by enabling users to efficiently manage and edit video content.

Fraugster, established in 2014, is a German-Israeli company specializing in anti-fraud solutions. Headquartered in Leeds, UK, the company designs and builds advanced security systems powered by artificial intelligence and behavioral analytics. Fraugster's platform anticipates and prevents fraudulent attacks in real-time, helping businesses minimize cyber threats and maximize revenues. Additionally, Fraugster Academy offers educational courses to enhance knowledge in fraud prevention and cybersecurity.

CrateDB is an open-source, multi-model database designed to efficiently manage both structured and unstructured data. It combines the simplicity of SQL with the scalability of NoSQL, allowing for rapid query execution in milliseconds, regardless of the complexity or volume of the data. The database is particularly suited for real-time analytics of Internet of Things (IoT) and machine-generated data, making it an ideal solution for businesses seeking to perform data-intensive analytics and artificial intelligence applications. By providing a flexible and distributed data hub, CrateDB enables organizations to streamline their data management processes across various operational areas.

Deckard Intelligence is an AI-driven software collaboration platform that enhances the efficiency of software development teams. By analyzing the structure and performance of these teams, Deckard replaces extensive hours of imprecise human labor with reliable estimations, alerts, and benchmarks. The platform provides essential tools and insights grounded in real data, enabling developers to access relevant information effectively. Additionally, it features a virtual personal assistant powered by artificial intelligence, which helps programmers locate the appropriate code, thereby fostering a more creative and productive work environment. This focus on objective performance metrics and streamlined information access positions Deckard as a valuable resource for software developers.

CrateDB is an open-source, multi-model database designed to efficiently manage both structured and unstructured data. It combines the simplicity of SQL with the scalability of NoSQL, allowing for rapid query execution in milliseconds, regardless of the complexity or volume of the data. The database is particularly suited for real-time analytics of Internet of Things (IoT) and machine-generated data, making it an ideal solution for businesses seeking to perform data-intensive analytics and artificial intelligence applications. By providing a flexible and distributed data hub, CrateDB enables organizations to streamline their data management processes across various operational areas.