Entrepreneur First

​Amurex.ai, developed by The Personal AI Company, is an innovative AI meeting copilot designed to enhance productivity and streamline workflows. Functioning as an 'Invisible Companion,' Amurex operates seamlessly in the background, managing tasks, retaining essential information, and supporting users without causing disruptions. ​ Key features of Amurex include:​ - Unified Knowledge Search: Integrates with platforms like Notion, Google Drive, and Obsidian, making your knowledge instantly searchable. ​ - Automated Meeting Management: Transcribes and summarizes meetings, and tracks action items automatically. ​ - Real-Time Assistance: Provides real-time suggestions during meetings to help users stay focused and engaged. ​ Notably, Amurex is fully open-source, allowing users to customize and self-host the platform according to their preferences. By offering a silent, smart companion that handles tasks and supports workflows without interruption, Amurex.ai is redefining how individuals manage their work and personal lives.

Synthera AI develops a synthetic financial data platform that leverages generative AI to simulate complex market scenarios. Its platform creates realistic, AI-driven data for equities, foreign exchange, and interest rates, including conditions beyond historical precedent. This enables financial institutions to stress-test portfolios, identify risks, and uncover investment opportunities through dynamic and adaptable simulations, overcoming limitations of traditional forecasting methods like Monte Carlo simulations.

Audiogen is a research lab focused on innovating music and audio creation. It develops a platform that leverages generative AI to create a wide range of sounds, including samples, instruments, sound effects, and textures. This technology empowers users to explore new creative possibilities and potentially reshape the music creator economy.

We solve event instrumentation (whatever tool you use — Mixpanel, Amplitude, Moengage, PostHog, Segment, etc.) We are using LLMs for: — Tracking plan creation — Event tracking code generation — Data governance

Rightbot is a technology company focused on warehouse automation through the development of artificial intelligence-driven robotics. The company's flagship product, Sherlock, automates the unloading and loading of floor-loaded containers, streamlining logistics processes. Additionally, Rightbot offers bin-picking autonomous mobile robots that enhance various inventory management functions, such as order fulfillment, inventory replenishment, cycle audits, and consolidation. By leveraging advanced robotics technology, Rightbot aims to help online commerce businesses efficiently meet consumer demands and improve overall operational productivity.

Alisha AI SDR, our Generative AI SaaS product automates the entire prospecting journey from lead generation & research to sending hyper-personalized LinkedIn-Informed emails, Omni-channel Outreach, 24/7 email replies within a minute, follow-ups, scheduling across time zones, followed by CRM updates. Alisha AI SDR is the best sales prospecting tool for any business type of any size. Our cloud-native AI SDR tool is powered by Thor V2, our indigenous LLM model. Companies using Alisha have witnessed a great lead-to-prospect conversion ratio of 6x.

LLM-enabled financial research at the speed of thought.

Vivid Machines is a startup focused on enhancing agricultural production for fruit and vegetable farmers through innovative technology. The company develops advanced vision sensors and machine learning systems that deliver plant-specific insights, allowing farmers to capture critical information about their crops that was previously unnoticed. This technology enables farmers to digitize the physical and chemical attributes of their fields, facilitating more informed decision-making and increasing the proportion of produce that reaches grocery stores. Vivid Machines' system operates in real-time, quantifying fruit and size distribution, identifying pests and diseases, and evaluating overall plant health. By integrating seamlessly into existing workflows, the company provides valuable data to growers, pack houses, and fruit marketers, ultimately optimizing the fruit supply chain.

DeepLife is a biotech company based in Paris, France, founded in 2019. It focuses on developing digital twins of cells to enhance drug discovery processes. By utilizing deep learning techniques on multi-omics data, DeepLife models cellular behavior and simulates responses to various genetic screenings, such as siRNA and CRISPR-Cas9. This approach allows the identification of new drug targets, biomarkers, and potential drug candidates, enabling a better understanding of drug resistance and sensitivity. The company's mission is to advance systems biology and facilitate the transition of laboratory discoveries to clinical applications. DeepLife collaborates with academic institutions to leverage expertise and drive innovation in the biopharmaceutical industry, ultimately aiming to match the right drug to the right patient.

Jackett is an educational technology platform designed to assist K-12 schools in automating the creation and grading of tests through artificial intelligence. By utilizing advanced machine learning models, Jackett transforms existing educational content into automatically generated assessments, significantly enhancing efficiency. Teachers can create tests much faster than traditional methods, reportedly up to 18 times quicker. The platform also features a personalized question bank that enables educators to store, search, and manage assessment questions conveniently. Additionally, it allows users to create assessments from scratch by digitizing questions using photos or PDFs, streamlining the assessment process and empowering teachers with innovative tools for effective education.

Ailiverse is a technology company that specializes in automating deep learning model development. Its core product, Text2AI AutoDL, significantly reduces the data and time required for training models, needing just 1% of typical data and offering a 10x speed improvement. This platform is designed to be user-friendly, requiring no prior AI expertise, and supports a wide range of GPUs and other leading hardware providers. It optimizes AI model training across diverse industries by fully leveraging the potential of various GPUs.

Ailiverse Text2AI AutoDL platform automates deep learning model development with only 1% of the data for training, in a 10X faster speed, and requires zero technical AI expertise from users.

Democratizing Deep Learning

Papercup is a London-based company that specializes in automating the dubbing and translation of video content using advanced artificial intelligence. Its software employs a combination of Bayesian neural networks and speech synthesis to create synthetic voice-overs that closely resemble human speech. This technology allows video creators to produce content in their original language while enabling users to translate videos into their preferred languages. Papercup's platform streamlines the localization process, making it faster and more cost-effective compared to traditional methods. The company also incorporates a quality assurance system where professional translators review the voiceovers, ensuring high accuracy and broadcast-quality results. By enhancing video accessibility, Papercup aims to help content owners engage with a global audience more effectively.

We compute and attach a “Trust Score” to every endpoint, users, requests, and data in real time. Automate your defences based on “Trust”. Our agents (enabled by Habituation and Novelty ML) observe the sequence of events in your distributed network, and filter out novel but low-trust sequences. We alert you with a soft-causal proof when a potential threat is detected. The alert always comes with an approximate location of potential dangers in both time and space.

Cinference uses deep learning to design de novo protein therapies instead of discovering them in a costly and lengthy experimental process. We combine structure-based protein design with sequence optimization algorithms to explore the uncharted territory of the protein sequence space, enabling us to design proteins with superior therapeutic effects.

Expertia is a platform that provides Deep Learning, Natural language processing (NLP) and Explainable AI to predict the right candidate.

Gensyn is a machine learning computing protocol designed to create a global supercluster by uniting all machine learning-capable compute hardware, including GPUs and CPUs. This innovative platform provides accessible computing resources to engineers, researchers, and academics, facilitating the analysis of deep learning models. Gensyn enables users to perform confidential queries using artificial intelligence technology while ensuring data compliance and security, as it allows for data analysis without the need to move sensitive information. By connecting diverse computing resources worldwide, Gensyn enhances collaborative research and development in the field of machine learning, making advanced computational power available to a broader audience.

Nostos Genomics collaborates with genetic testing laboratories to enhance the diagnosis of genetic diseases. The company has developed a platform that integrates machine learning and synthetic biology, enabling laboratories to utilize a proprietary algorithm that identifies likely pathogenic variants. This technology improves diagnostic yield, accelerates the interpretation of genetic variants, and allows labs to focus on complex cases. By streamlining these processes, Nostos Genomics aims to provide clearer and faster diagnoses for individuals affected by genetic disorders, thereby supporting the growth of sustainable operations within genetic testing laboratories.

AarogyaAI is a software as a service platform that leverages artificial intelligence to diagnose drug-resistant tuberculosis and other antimicrobial resistance in infectious pathogens. By uploading a patient's DNA sequence, the platform utilizes a machine-learning algorithm to generate a comprehensive report on the patient’s drug susceptibility status. This technology allows for quick and accurate diagnoses, typically within a few hours, enabling healthcare providers to prescribe effective drug combinations for treatment without delay. AarogyaAI aims to enhance the management of drug-resistant infections, improving patient outcomes through timely and precise diagnostics.

Alisha AI SDR, our Generative AI SaaS product automates the entire prospecting journey from lead generation & research to sending hyper-personalized LinkedIn-Informed emails, Omni-channel Outreach, 24/7 email replies within a minute, follow-ups, scheduling across time zones, followed by CRM updates. Alisha AI SDR is the best sales prospecting tool for any business type of any size. Our cloud-native AI SDR tool is powered by Thor V2, our indigenous LLM model. Companies using Alisha have witnessed a great lead-to-prospect conversion ratio of 6x.

HawkLabs is an AI-powered data analytics & processing company focused on data services for Solana blockchain applications.

Mimica Automation Limited, founded in 2018 and based in London, develops innovative software that leverages machine learning algorithms to automate repetitive tasks. By observing user interactions, such as clicks and keystrokes, for a period of two to three weeks, the software derives intent and generates automation solutions automatically. Its key offering, the mapper, gathers data from employees' computers to create a comprehensive process map by analyzing and merging the recorded activities. Backed by Entrepreneur First, a prominent accelerator and seed fund in Europe, Mimica aims to enhance workplace efficiency by simplifying the automation of routine tasks.

Proportunity Limited is a technology-driven mortgage lender based in London, United Kingdom, specializing in providing innovative financing solutions for first-time home buyers. Founded in 2016 by Vadim Toader and Stefan Boronea, the company leverages artificial intelligence and machine learning to analyze real estate data, accurately forecasting house prices and identifying high-growth areas. By offering equity and mortgage loans, Proportunity aims to assist buyers in overcoming the challenges of deposit requirements, allowing them to purchase homes in promising locations while potentially paying less than their current rent. Through its data-driven insights, Proportunity empowers customers to make informed decisions in the real estate market.

Zolnoi is a company focused on enhancing manufacturing performance through data analytics. It offers IoT-based sensors and gateways for data collection, alongside a cloud-based Platform-as-a-Service (PaaS) designed for maintenance management. The platform utilizes artificial intelligence to aggregate data from various sources, providing insights that enable manufacturing companies to reduce downtime and improve the efficiency and reliability of their production assets. Additionally, Zolnoi's proprietary software, Integrate+, generates actionable recommendations, helping organizations optimize their operations and achieve better overall performance.

PolyAI Ltd is a company that specializes in developing a conversational artificial intelligence platform aimed at enhancing human-machine voice interactions. Founded in 2017 and headquartered in London, United Kingdom, with an additional office in New York, the company focuses on creating enterprise voice assistants capable of engaging in natural conversations with customers. These assistants utilize advanced machine learning and natural language processing to understand and respond to customer inquiries, regardless of phrasing or dialect. The platform supports features such as multilingual capabilities, data acquisition, and dynamic flow design, facilitating the creation of human-like interactions and improving customer service experiences across various industries.

NeuroPixel.AI is a deep-tech platform specializing in apparel cataloging through the application of advanced artificial intelligence and machine learning techniques. The company's proprietary DeepNet framework streamlines the cataloging process, making it both efficient and cost-effective for online retail. By allowing clients to photograph apparel on mannequins, NeuroPixel.AI's technology generates high-quality, lifelike images that showcase the same garments worn by models in various poses. This innovative approach enhances the visual presentation of products, providing retailers with a powerful tool for improving their online storefronts.

Vivid Machines is a startup focused on enhancing agricultural production for fruit and vegetable farmers through innovative technology. The company develops advanced vision sensors and machine learning systems that deliver plant-specific insights, allowing farmers to capture critical information about their crops that was previously unnoticed. This technology enables farmers to digitize the physical and chemical attributes of their fields, facilitating more informed decision-making and increasing the proportion of produce that reaches grocery stores. Vivid Machines' system operates in real-time, quantifying fruit and size distribution, identifying pests and diseases, and evaluating overall plant health. By integrating seamlessly into existing workflows, the company provides valuable data to growers, pack houses, and fruit marketers, ultimately optimizing the fruit supply chain.

Zolnoi is a company focused on enhancing manufacturing performance through data analytics. It offers IoT-based sensors and gateways for data collection, alongside a cloud-based Platform-as-a-Service (PaaS) designed for maintenance management. The platform utilizes artificial intelligence to aggregate data from various sources, providing insights that enable manufacturing companies to reduce downtime and improve the efficiency and reliability of their production assets. Additionally, Zolnoi's proprietary software, Integrate+, generates actionable recommendations, helping organizations optimize their operations and achieve better overall performance.

Unbox Robotics is a company based in Pune, India, specializing in automated parcel sorting solutions for the logistics industry. Founded in 2019, it has developed a patent-pending, AI-powered robotic system that significantly enhances sorting efficiency. This innovative platform allows for rapid installation, taking ten times less time than traditional systems, and requires 50% fewer robots, leading to space savings of over 50%. By utilizing swarm intelligence and advanced algorithms, Unbox Robotics' technology improves productivity by more than fivefold, enabling logistics operators to optimize their sorting and order consolidation processes while minimizing the need for extensive warehousing. The company's subscription-based model further supports its mission to streamline operations within a limited footprint and capital investment.

nPlan Limited specializes in artificial intelligence-driven software for construction project management. Established in 2017 and based in London, the company develops a platform that leverages machine learning to enhance schedule certainty by identifying risks and suggesting optimal execution paths. Its technology analyzes an extensive dataset of construction schedules, enabling clients to understand uncertainties and risks associated with their projects. By detecting gaps in task performance patterns, nPlan's solution provides statistical risk attribution for individual activities and offers recommendations to mitigate residual issues. This approach allows clients to effectively manage risks and capitalize on opportunities within their construction projects.

Expertia is a platform that provides Deep Learning, Natural language processing (NLP) and Explainable AI to predict the right candidate.

NeuroPixel.AI is a deep-tech platform specializing in apparel cataloging through the application of advanced artificial intelligence and machine learning techniques. The company's proprietary DeepNet framework streamlines the cataloging process, making it both efficient and cost-effective for online retail. By allowing clients to photograph apparel on mannequins, NeuroPixel.AI's technology generates high-quality, lifelike images that showcase the same garments worn by models in various poses. This innovative approach enhances the visual presentation of products, providing retailers with a powerful tool for improving their online storefronts.

We compute and attach a “Trust Score” to every endpoint, users, requests, and data in real time. Automate your defences based on “Trust”. Our agents (enabled by Habituation and Novelty ML) observe the sequence of events in your distributed network, and filter out novel but low-trust sequences. We alert you with a soft-causal proof when a potential threat is detected. The alert always comes with an approximate location of potential dangers in both time and space.

Rightbot is a technology company focused on warehouse automation through the development of artificial intelligence-driven robotics. The company's flagship product, Sherlock, automates the unloading and loading of floor-loaded containers, streamlining logistics processes. Additionally, Rightbot offers bin-picking autonomous mobile robots that enhance various inventory management functions, such as order fulfillment, inventory replenishment, cycle audits, and consolidation. By leveraging advanced robotics technology, Rightbot aims to help online commerce businesses efficiently meet consumer demands and improve overall operational productivity.

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.

Gensyn is a machine learning computing protocol designed to create a global supercluster by uniting all machine learning-capable compute hardware, including GPUs and CPUs. This innovative platform provides accessible computing resources to engineers, researchers, and academics, facilitating the analysis of deep learning models. Gensyn enables users to perform confidential queries using artificial intelligence technology while ensuring data compliance and security, as it allows for data analysis without the need to move sensitive information. By connecting diverse computing resources worldwide, Gensyn enhances collaborative research and development in the field of machine learning, making advanced computational power available to a broader audience.

Exogene is a biotechnology company focused on advancing T-cell receptor (TCR)-based cancer immunotherapies for solid tumors. By integrating deep learning with high-throughput TCR-antigen screening, Exogene aims to efficiently identify new tumor targets that are common among cancer patients. The company is developing a computational platform designed to discover effective and safe TCRs against these targets, facilitating their therapeutic application. This innovative approach allows for the rapid and cost-effective development of TCR-based immunotherapies, ultimately supporting healthcare providers in creating cell therapies that enhance the immune system's ability to combat cancer.

Cinference uses deep learning to design de novo protein therapies instead of discovering them in a costly and lengthy experimental process. We combine structure-based protein design with sequence optimization algorithms to explore the uncharted territory of the protein sequence space, enabling us to design proteins with superior therapeutic effects.

Papercup is a London-based company that specializes in automating the dubbing and translation of video content using advanced artificial intelligence. Its software employs a combination of Bayesian neural networks and speech synthesis to create synthetic voice-overs that closely resemble human speech. This technology allows video creators to produce content in their original language while enabling users to translate videos into their preferred languages. Papercup's platform streamlines the localization process, making it faster and more cost-effective compared to traditional methods. The company also incorporates a quality assurance system where professional translators review the voiceovers, ensuring high accuracy and broadcast-quality results. By enhancing video accessibility, Papercup aims to help content owners engage with a global audience more effectively.

Qantev operates an AI-driven health claims platform designed for health and life insurance companies. The platform utilizes a proprietary algorithm to enhance the configuration of provider networks and identify optimal participants, thereby assisting insurers in minimizing claims leakage. By leveraging historical claims data, Qantev's technology empowers health insurance teams to gain valuable insights, facilitating data-driven decision-making and the development of effective business strategies. This innovative approach aims to improve efficiency and accuracy in claims operations across the global insurance market.

Sense Street Ltd. is a company based in Sevenoaks, United Kingdom, that specializes in capital market communications. Founded 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 and neural networks to enhance data curation, enabling the extraction of complex information from market discussions. This innovative approach allows investment banks and capital markets to effectively manage intricate conversations with asset managers, facilitating the development of modern, data-driven business practices.

Phantasma Labs Limited, founded in 2018 and based in London, specializes in developing a simulation platform that creates essential data sets and models of human behavior to train autonomous vehicles. The company focuses on enhancing self-driving cars' understanding of human interactions by placing real individuals in virtual environments, allowing artificial intelligence to learn from realistic scenarios. Its platform employs reinforcement learning to generate extensive data sets reflective of actual situations, modeling the behavior of pedestrians, cyclists, and other road users. This approach enables clients to gain insights from real-life interactions without the risks associated with actual accidents, thereby improving the decision-making capabilities of autonomous systems in extreme circumstances.

See-Mode Technologies, established in 2017 and headquartered in Singapore with an additional office in Australia, specializes in stroke prediction for clinicians. Its core product, AVA (Augmented Vascular Analysis), is an AI-driven software that analyzes and reports on vascular ultrasound images. By combining medical image analysis, AI, and computational fluid dynamics, See-Mode empowers doctors to predict strokes more accurately, potentially saving lives and reducing the global burden of this leading cause of death and disability. The company partners with healthcare institutions to provide its innovative solution.

DeepSpin GmbH, founded in 2019 and based in Berlin, Germany, specializes in developing artificial intelligence-powered magnetic resonance imaging (MRI) equipment. The company’s innovative technology aims to provide MRI imaging systems that are significantly smaller, lighter, and more cost-effective than traditional models. By leveraging generative topological design and deep learning techniques, DeepSpin's MRI machines enhance accessibility to medical imaging, making it available to a wider range of patients globally. This approach seeks to improve healthcare standards in various medical fields previously lacking adequate imaging solutions.

Sense Street Ltd. is a company based in Sevenoaks, United Kingdom, that specializes in capital market communications. Founded 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 and neural networks to enhance data curation, enabling the extraction of complex information from market discussions. This innovative approach allows investment banks and capital markets to effectively manage intricate conversations with asset managers, facilitating the development of modern, data-driven business practices.

DeepSpin GmbH, founded in 2019 and based in Berlin, Germany, specializes in developing artificial intelligence-powered magnetic resonance imaging (MRI) equipment. The company’s innovative technology aims to provide MRI imaging systems that are significantly smaller, lighter, and more cost-effective than traditional models. By leveraging generative topological design and deep learning techniques, DeepSpin's MRI machines enhance accessibility to medical imaging, making it available to a wider range of patients globally. This approach seeks to improve healthcare standards in various medical fields previously lacking adequate imaging solutions.

Unbox Robotics is a company based in Pune, India, specializing in automated parcel sorting solutions for the logistics industry. Founded in 2019, it has developed a patent-pending, AI-powered robotic system that significantly enhances sorting efficiency. This innovative platform allows for rapid installation, taking ten times less time than traditional systems, and requires 50% fewer robots, leading to space savings of over 50%. By utilizing swarm intelligence and advanced algorithms, Unbox Robotics' technology improves productivity by more than fivefold, enabling logistics operators to optimize their sorting and order consolidation processes while minimizing the need for extensive warehousing. The company's subscription-based model further supports its mission to streamline operations within a limited footprint and capital investment.

Sonantic is a startup focused on developing advanced synthetic voice technologies specifically for the video game and entertainment industries. The company specializes in creating expressive and hyperrealistic text-to-speech capabilities, allowing game developers to access high-quality voice acting that enhances the immersive experience of their products. Utilizing machine learning, Sonantic's platform enables users to generate believable human voices on-demand, providing tools for creative professionals to edit, sculpt, and direct voice performances in real-time. This approach streamlines workflows, making it easier for studios to integrate realistic voice acting into their projects.

Nostos Genomics collaborates with genetic testing laboratories to enhance the diagnosis of genetic diseases. The company has developed a platform that integrates machine learning and synthetic biology, enabling laboratories to utilize a proprietary algorithm that identifies likely pathogenic variants. This technology improves diagnostic yield, accelerates the interpretation of genetic variants, and allows labs to focus on complex cases. By streamlining these processes, Nostos Genomics aims to provide clearer and faster diagnoses for individuals affected by genetic disorders, thereby supporting the growth of sustainable operations within genetic testing laboratories.

QuantShip is a Singapore-based company founded in 2019 that enhances decision-making in the maritime industry through proprietary machine learning algorithms. The company specializes in providing predictive analytics solutions that empower shipping companies to make informed, data-driven decisions rather than relying on sentiment. By leveraging artificial intelligence, QuantShip delivers tailored intelligence that helps stakeholders in the maritime sector manage freight risks effectively. The organization aims to transform traditional decision-making processes in ocean commerce, significantly improving efficiency and reliability through its advanced technological platform.

Exogene is a biotechnology company focused on advancing T-cell receptor (TCR)-based cancer immunotherapies for solid tumors. By integrating deep learning with high-throughput TCR-antigen screening, Exogene aims to efficiently identify new tumor targets that are common among cancer patients. The company is developing a computational platform designed to discover effective and safe TCRs against these targets, facilitating their therapeutic application. This innovative approach allows for the rapid and cost-effective development of TCR-based immunotherapies, ultimately supporting healthcare providers in creating cell therapies that enhance the immune system's ability to combat cancer.

UpStride is a developer of an application programming interface platform aimed at enhancing deep learning performance, particularly in the field of computer vision. The company utilizes advanced techniques from signal processing and performance computing to optimize how information is extracted from images. By doing so, UpStride enables clients to improve the accuracy and efficiency of their artificial intelligence algorithms while requiring less data. This innovative approach not only enhances the performance of neural networks but also reduces power consumption, making it a valuable solution for organizations looking to maximize their AI capabilities.

Milky Way AI specializes in developing computer vision-driven software that provides real-time store analytics for fast-moving consumer goods (FMCG) and consumer packaged goods (CPG) companies. Their platform allows sales, marketing, and operations teams to swiftly access and act on crucial marketing and distribution insights. By utilizing innovative technology to gather shelf data, Milky Way AI enhances retail management processes, helping auditors save time and optimize product availability and merchandising. This capability enables brands and retailers to gain valuable marketing insights through the simple act of taking photos with the software, ultimately improving sales performance and operational efficiency in physical retail environments.

Blazar SAS, founded in 2019 and headquartered in Paris, France, specializes in developing a machine learning platform aimed at predicting cancer patients' responses to immunotherapy. The platform analyzes various data sources, including medical history, tumor characteristics, and genetic profiles, to provide insights into treatment responses and resistance. By integrating biopsy images and other datasets, Blazar's solution helps healthcare professionals make informed decisions regarding the suitability of immunotherapy for individual patients, ultimately contributing to advancements in personalized medicine within the fields of immuno-oncology and inflammatory disorders.

PacketAI specializes in developing advanced automation software aimed at monitoring enterprise infrastructure. By leveraging artificial intelligence and machine learning, the platform is designed to predict IT infrastructure incidents, identify their root causes, and facilitate automated remediation before any disruption occurs. This proactive approach can significantly reduce costs associated with business interruptions, potentially saving companies up to 70% of the expenses related to such incidents. PacketAI's system receives raw event data and integrates it with the appropriate data ingestion modules, offering services for data collection, centralization, and cleaning. This comprehensive solution helps businesses enhance productivity while minimizing the risk of costly downtime.

Ai Palette specializes in providing AI-driven product development solutions tailored for businesses in the food and consumer packaged goods sectors. The company leverages insights from millions of digital conversations combined with company data to generate product concepts that align with a brand's identity and address consumer needs. Utilizing advanced machine learning techniques, natural language processing, and image recognition, Ai Palette's platform enables companies to identify emerging food trends and consumer preferences. This approach helps firms determine which products to launch next, thereby enhancing the likelihood of success for new product introductions.

Teamflow operates a platform designed to enhance productivity within organizations by leveraging human intelligence. Founded in 2018 and headquartered in London, the company integrates with existing employee data sources to identify colleagues whose skills align with specific project needs. By utilizing machine learning and optimization techniques, Teamflow extracts valuable insights from employees, enabling organizations to harness collective knowledge effectively. This approach allows companies to map employees to relevant processes, ensuring that the right expertise is accessed at the right time, ultimately driving improved organizational performance.

Unitary Ltd is a company based in Cambridge, United Kingdom, founded in 2019, that develops artificial intelligence software using graph-based technology to enhance online safety. The company's AI software focuses on context-aware analysis, employing multimodal machine learning to interpret videos and other visual content uploaded to the Internet. By accurately and efficiently detecting inappropriate material, Unitary aims to enable users to take proactive measures to protect their communities. Their innovative computer vision models are designed to analyze content at scale, providing a comprehensive understanding of online information and helping to create a safer digital environment.

AarogyaAI is a software as a service platform that leverages artificial intelligence to diagnose drug-resistant tuberculosis and other antimicrobial resistance in infectious pathogens. By uploading a patient's DNA sequence, the platform utilizes a machine-learning algorithm to generate a comprehensive report on the patient’s drug susceptibility status. This technology allows for quick and accurate diagnoses, typically within a few hours, enabling healthcare providers to prescribe effective drug combinations for treatment without delay. AarogyaAI aims to enhance the management of drug-resistant infections, improving patient outcomes through timely and precise diagnostics.

Unbox Robotics is a company based in Pune, India, specializing in automated parcel sorting solutions for the logistics industry. Founded in 2019, it has developed a patent-pending, AI-powered robotic system that significantly enhances sorting efficiency. This innovative platform allows for rapid installation, taking ten times less time than traditional systems, and requires 50% fewer robots, leading to space savings of over 50%. By utilizing swarm intelligence and advanced algorithms, Unbox Robotics' technology improves productivity by more than fivefold, enabling logistics operators to optimize their sorting and order consolidation processes while minimizing the need for extensive warehousing. The company's subscription-based model further supports its mission to streamline operations within a limited footprint and capital investment.

FireVisor Systems Pte. Ltd., founded in 2018 and based in Singapore, offers an AI-powered software platform that transforms the manufacturing sector by leveraging previously untapped data. The company focuses on automating manufacturing processes to enhance efficiency and quality control. By utilizing artificial intelligence and machine learning, FireVisor's platform detects, analyzes, and monitors defects in production, thereby minimizing the reliance on human inspectors and process control engineers. This innovative approach aims to create self-aware factories that can autonomously optimize operations, reducing costs associated with poor quality and increasing overall profitability for clients. In a global manufacturing industry valued at $17.2 trillion, FireVisor seeks to harness the vast amounts of data generated by machines to drive significant enhancements in productivity and operational effectiveness.

PolyAI Ltd is a company that specializes in developing a conversational artificial intelligence platform aimed at enhancing human-machine voice interactions. Founded in 2017 and headquartered in London, United Kingdom, with an additional office in New York, the company focuses on creating enterprise voice assistants capable of engaging in natural conversations with customers. These assistants utilize advanced machine learning and natural language processing to understand and respond to customer inquiries, regardless of phrasing or dialect. The platform supports features such as multilingual capabilities, data acquisition, and dynamic flow design, facilitating the creation of human-like interactions and improving customer service experiences across various industries.

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.

UpStride is a developer of an application programming interface platform aimed at enhancing deep learning performance, particularly in the field of computer vision. The company utilizes advanced techniques from signal processing and performance computing to optimize how information is extracted from images. By doing so, UpStride enables clients to improve the accuracy and efficiency of their artificial intelligence algorithms while requiring less data. This innovative approach not only enhances the performance of neural networks but also reduces power consumption, making it a valuable solution for organizations looking to maximize their AI capabilities.

Staple specializes in cognitive AI technology that processes documents by reading, interpreting, and extracting structured data efficiently, regardless of layout or language. By utilizing a unique integration of computer vision, machine learning, natural language processing, and optical character recognition, Staple's solutions can operate at speeds 25 times faster and at costs 80% lower than human capabilities. The company focuses on serving data-intensive sectors including banking, financial services, professional services, healthcare, and industrial industries. Its deep learning platform not only facilitates the conversion of documents into structured data but also allows users to visualize and edit the extracted data, thereby enhancing data capture accuracy and automating repetitive financial workflows.

Ai Palette specializes in providing AI-driven product development solutions tailored for businesses in the food and consumer packaged goods sectors. The company leverages insights from millions of digital conversations combined with company data to generate product concepts that align with a brand's identity and address consumer needs. Utilizing advanced machine learning techniques, natural language processing, and image recognition, Ai Palette's platform enables companies to identify emerging food trends and consumer preferences. This approach helps firms determine which products to launch next, thereby enhancing the likelihood of success for new product introductions.

GTN Ltd. is a London-based company specializing in drug discovery through the application of quantum machine learning technology. Founded in 2017, GTN utilizes its patented approach, Generative Tensorial Networks, to explore a vast array of drug-like molecules. This innovative software leverages techniques from both machine learning and quantum physics to efficiently simulate and search for potential drug candidates, significantly reducing development costs. In an industry where bringing a new drug to market can exceed $2.9 billion and where research and development output is projected to decline, GTN's technology aims to uncover previously undetectable molecules, ultimately enhancing the drug development process.

nPlan Limited specializes in artificial intelligence-driven software for construction project management. Established in 2017 and based in London, the company develops a platform that leverages machine learning to enhance schedule certainty by identifying risks and suggesting optimal execution paths. Its technology analyzes an extensive dataset of construction schedules, enabling clients to understand uncertainties and risks associated with their projects. By detecting gaps in task performance patterns, nPlan's solution provides statistical risk attribution for individual activities and offers recommendations to mitigate residual issues. This approach allows clients to effectively manage risks and capitalize on opportunities within their construction projects.

Metis Labs Limited, established in 2017 and based in London, specializes in the development of artificial intelligence software tailored for complex industrial systems, particularly within the manufacturing sector. The company focuses on enhancing production line efficiency through advanced AI-driven process control and quality assurance systems. Metis Labs is recognized for pioneering the use of generative AI to manage real-world equipment in critical operational settings, achieving significant waste reductions verified by leading global brands. Additionally, the company has developed a methodology for deploying generative AI control systems across major consumer packaged goods production lines and has innovated in the miniaturization of AI solutions for legacy programmable logic controllers. By leveraging AI, Metis Labs aims to improve manufacturing performance, predict demand patterns, and reduce operating costs, ultimately striving to lessen the environmental impact of large-scale industrial processes.

Musiio is an artificial intelligence company that serves the music industry, specializing in B2B solutions. The company has developed an AI platform capable of analyzing music to enhance the management and curation of audio content for various clients, including sync companies, labels, and streaming services. By utilizing deep learning technology, Musiio's tools can identify key characteristics of tracks, such as recording quality and artist skill, enabling users to process vast amounts of data more efficiently than human capabilities allow. This advanced functionality not only improves the accuracy and quality of audio recordings but also enhances the ability to predict success and increase the hit-rate for users. Ultimately, Musiio aims to address the challenges of managing large music catalogs by providing actionable insights that can drive revenue growth for its clients.

Adaface operates a skill assessment platform that utilizes conversational AI to enhance the hiring process, particularly for first-round technical interviews. The platform, powered by an AI named Ada, engages candidates in deep technical discussions covering areas such as algorithms, architecture design, programming languages, and tech frameworks. By simulating interactions akin to those with a hiring manager, Ada analyzes candidates' thought processes, provides timely hints, and poses follow-up questions to assess their skills accurately. This approach not only ensures a 100% interview turnout but also allows companies to efficiently shortlist the most qualified candidates, enabling more meaningful engagement with top prospects.

Untangle AI is focused on creating a platform and developer tools that enhance the understanding and management of deep learning models. Their offerings aim to improve transparency and address key challenges that hinder the broader acceptance of artificial intelligence solutions. The platform enables model auditing, which is increasingly important as AI systems impact critical areas of life. By emphasizing automation in data collection and interpretability, Untangle AI's technology helps clients identify model limitations, explain decision-making processes to end-users, and reduce bias while minimizing dependency on extensive data. This comprehensive approach supports companies in navigating the complexities of AI deployment and fosters greater trust in AI applications.

AIMLedge is focused on creating a software platform that automates the development and deployment of customized deep learning software for edge devices, particularly low-end commodity cameras. The platform significantly reduces development time by 80% and allows for plug-and-play deployment, making it accessible for businesses of various sizes and industries. AIMLedge's technology enables users to analyze video and behavioral data, helping businesses understand customer preferences and buying patterns. This capability aids companies in evaluating the effectiveness of their visual merchandising and marketing strategies, ultimately aiming to democratize advanced AI and IoT solutions.

Neurobit is a prominent medical technology company specializing in Software as a Medical Device (SaMD) that utilizes artificial intelligence to analyze complex health vitals, known as sleep biomarkers, measured during sleep. This innovative technology aims to provide personalized, predictive healthcare, ultimately improving the quality and efficiency of care for both healthcare professionals and patients. Neurobit's Biomarker Bridge initiative fosters collaboration among AI-driven biomarker companies to promote cross-disciplinary innovation and facilitate the integration of digital biomarkers into clinical settings. The company's advanced solutions are trusted by over 150 prestigious universities, hospitals, and research centers worldwide, focusing on the prediction and prevention of adverse health outcomes related to cardiopulmonary and neurological conditions. By leveraging machine learning and acoustic neurofeedback, Neurobit's platform enhances understanding and management of sleep, contributing to better health outcomes.

Janus Genomics is developing a platform that allows training of algorithms on a combination of different biomedical datasets. The technology enables companies to monetize their data and keep it private. Janus Genomics has received support and was accelerated by Entrepreneurs First, Max Plank Intitute and University of Regensburg.

FireVisor Systems Pte. Ltd., founded in 2018 and based in Singapore, offers an AI-powered software platform that transforms the manufacturing sector by leveraging previously untapped data. The company focuses on automating manufacturing processes to enhance efficiency and quality control. By utilizing artificial intelligence and machine learning, FireVisor's platform detects, analyzes, and monitors defects in production, thereby minimizing the reliance on human inspectors and process control engineers. This innovative approach aims to create self-aware factories that can autonomously optimize operations, reducing costs associated with poor quality and increasing overall profitability for clients. In a global manufacturing industry valued at $17.2 trillion, FireVisor seeks to harness the vast amounts of data generated by machines to drive significant enhancements in productivity and operational effectiveness.

Mimica Automation Limited, founded in 2018 and based in London, develops innovative software that leverages machine learning algorithms to automate repetitive tasks. By observing user interactions, such as clicks and keystrokes, for a period of two to three weeks, the software derives intent and generates automation solutions automatically. Its key offering, the mapper, gathers data from employees' computers to create a comprehensive process map by analyzing and merging the recorded activities. Backed by Entrepreneur First, a prominent accelerator and seed fund in Europe, Mimica aims to enhance workplace efficiency by simplifying the automation of routine tasks.

StatusToday Ltd., established in 2017 and headquartered in London, specializes in AI-powered workplace analytics. Its platform leverages AI to understand human behavior within organizations, providing objective insights into employee productivity, communication, well-being, and network security. This enables employers and employees to manage risks, enhance data security, and boost productivity. StatusToday has been recognized for its innovative approach, winning awards and being featured in leading European journals.

nPlan Limited specializes in artificial intelligence-driven software for construction project management. Established in 2017 and based in London, the company develops a platform that leverages machine learning to enhance schedule certainty by identifying risks and suggesting optimal execution paths. Its technology analyzes an extensive dataset of construction schedules, enabling clients to understand uncertainties and risks associated with their projects. By detecting gaps in task performance patterns, nPlan's solution provides statistical risk attribution for individual activities and offers recommendations to mitigate residual issues. This approach allows clients to effectively manage risks and capitalize on opportunities within their construction projects.

See-Mode Technologies, established in 2017 and headquartered in Singapore with an additional office in Australia, specializes in stroke prediction for clinicians. Its core product, AVA (Augmented Vascular Analysis), is an AI-driven software that analyzes and reports on vascular ultrasound images. By combining medical image analysis, AI, and computational fluid dynamics, See-Mode empowers doctors to predict strokes more accurately, potentially saving lives and reducing the global burden of this leading cause of death and disability. The company partners with healthcare institutions to provide its innovative solution.

Medios Technologies develops deep learning software that assists healthcare professionals in diagnosing diabetic retinopathy, a serious eye condition linked to diabetes. Their technology enables doctors to capture images of the eye and analyze them using artificial intelligence, delivering diagnoses without the need for a specialist. This innovation allows diabetes care providers to enhance their practices and take preventive measures against blindness during routine check-ups, ultimately improving patient outcomes and access to necessary eye care.

WILD.AI, founded in 2017 and based in San Francisco, California, focuses on enhancing women's performance through a specialized application platform. The company builds a comprehensive knowledge base that includes datasets reflecting various female demographics, including age, life stages, and ethnicity. Its platform empowers women to optimize their physical potential by understanding the connections between their menstrual cycles, strength, digestion, and physical activities. By promoting self-tracking and tailored nutrition and training, WILD.AI aims to provide women with the knowledge and support necessary to perform at their best.

Bloomsbury AI Limited was a London-based company that specialized in developing a Software as a Service (SaaS) platform for creating text-understanding computer applications. Founded in April 2015 by a team that included Guillaume Bouchard and Sebastian Riedel, the company's technology utilized artificial intelligence to read documents and learn from user interactions, allowing it to perform tasks similarly to how human apprentices acquire skills. This platform aimed to automate expertise through written dialogue, enabling users to efficiently execute repetitive tasks and streamline their workflows. Although Bloomsbury AI was once a subsidiary of Facebook, it ultimately went into liquidation.

Bloomsbury AI Limited was a London-based company that specialized in developing a Software as a Service (SaaS) platform for creating text-understanding computer applications. Founded in April 2015 by a team that included Guillaume Bouchard and Sebastian Riedel, the company's technology utilized artificial intelligence to read documents and learn from user interactions, allowing it to perform tasks similarly to how human apprentices acquire skills. This platform aimed to automate expertise through written dialogue, enabling users to efficiently execute repetitive tasks and streamline their workflows. Although Bloomsbury AI was once a subsidiary of Facebook, it ultimately went into liquidation.

Cyra is an innovative recruitment platform that utilizes artificial intelligence and machine learning to enhance the hiring process for employers. By leveraging intelligent virtual assistants and natural language processing, Cyra aims to address the inefficiencies and high costs traditionally associated with recruitment. The platform connects employers with job seekers, facilitating a more streamlined and automated hiring workflow. Through its advanced technology, Cyra enables organizations to identify and hire the most suitable candidates effectively, transforming the landscape of recruitment.

Keypla is automating human valuations using computer vision and machine learning.

Neo AI specializes in developing software that enhances the efficiency and affordability of machine learning applications. By streamlining complex computations, the company enables a wider range of industries to leverage advanced technology. This innovative approach not only reduces costs but also accelerates the deployment of new applications, ultimately allowing clients to boost their productivity.

Alpha-i is a predictive maintenance platform focused on the aerospace and wind energy sectors. Established in 2016, the company leverages machine learning algorithms to deliver actionable insights that help clients identify potential failures before they occur. By analyzing a wide array of data, including sensor data, SCADA information, asset management systems, and external factors like weather, Alpha-i enables organizations to minimize downtime and reduce maintenance costs. With a strong research and development team, Alpha-i is positioned to enhance operational efficiency in its target industries.

Accelerated Dynamics X Ltd develops artificial intelligence software and data analysis tools for drones and other robotic systems, facilitating their use as autonomous agents in various industries. The company provides a command and control solution known as Mission Manager, which allows for decision-making and planning in complex environments, tailored to meet specific client mission requirements. Its offerings cater to sectors such as security, agriculture, logistics, humanitarian relief, inspection, and defense. Accelerated Dynamics also focuses on collaborative robot missions through a unified AI platform that enhances autonomy, enabling seamless data collection and analytics. The company is recognized for its advanced technologies, including machine learning and multi-agent systems, which support autonomous decision making, fleet management, and effective human-robot interaction. Founded in 2015 and headquartered in London, Accelerated Dynamics operates as a subsidiary of Animal Dynamics Limited.

Suzu Technologies is a London-based startup specializing in artificial intelligence solutions for e-commerce, supported by Entrepreneur First, a prominent deep technology incubator in Europe. The company's primary focus is on enhancing retailer revenue through advanced analytics that assess customer journeys and real-time behaviors. By utilizing state-of-the-art deep learning and insights from behavioral psychology, Suzu generates timely, personalized nudges that encourage customers to make purchasing decisions while they are actively engaging with the site. Additionally, the company provides an online marketing analytics platform designed to help retailers convert browsers into buyers before they exit the site.

True AI Limited is a London-based artificial intelligence company focused on enhancing customer service through innovative software solutions. Founded in 2015, the company is developing a product called TypeGenie, which utilizes a deep learning algorithm to automate customer interactions. This technology enables the software to learn and generate responses in conversations, thereby streamlining customer service operations and improving overall customer experience. True AI also provides chat management software and reply suggestions for customer service agents across various channels. The company's advancements are rooted in extensive research and leverage the latest breakthroughs in machine learning.

Innersight is a United Kingdom-based company that specializes in developing innovative software designed to enhance surgical planning and outcomes for cancer treatment. The company has created a platform that transforms standard 2D medical scans into detailed 3D anatomical models, allowing surgeons to visualize tumors and surrounding tissues more effectively. By integrating machine learning algorithms with these scans, Innersight's technology automatically identifies various tissue structures and abnormalities, providing crucial quantitative information that aids in the decision-making process for surgical interventions. This advanced visualization capability not only improves the accuracy of surgical planning but also aims to reduce the costs associated with cancer treatment.

Nstack is a data science automation platform that connects various data sources, predictive models, and internal tools to enhance customer value. Founded in 2015 and headquartered in London, with an additional office in San Francisco, the company enables data scientists to efficiently deploy Python models and construct analytics workflows within minutes. By providing a suite of predictive models and seamless integrations, Nstack facilitates rapid experimentation and action-taking, streamlining the process for users to leverage data effectively.

Interpretive Ltd. is a London-based company that specializes in developing data interfaces designed to enhance sales performance through predictive analytics. Founded in 2014, the company provides automated customer clustering and tools that leverage machine learning to analyze vast amounts of data quickly and efficiently. This technology enables sales teams to receive proactive notifications regarding potential problems and opportunities, allowing them to focus on strategic actions rather than data interpretation. By delivering straightforward insights directly to sales representatives, Interpretive helps them identify customer retention issues and uncover upselling opportunities, ultimately driving revenue growth. The company's data solutions are hosted on Google’s cloud platform, catering to small and medium enterprises as well as larger organizations across Europe.

Magic Pony Technology Ltd. specializes in developing advanced video compression, upscaling, and enhancement technologies through innovative machine learning and computer vision techniques. Founded in 2014 and based in London, the company has a strong focus on research and development, boasting a team with over 30 years of combined experience from prestigious institutions such as Imperial College, King's College, and University College London. With more than 100 publications in major international conferences and journals, and over 300 citations from renowned research entities, Magic Pony is at the forefront of visual processing technology. The company holds several patents pending, reinforcing its commitment to delivering cutting-edge solutions for video enhancement across various platforms, including web, desktop, and mobile. As of June 2016, Magic Pony operates as a subsidiary of Twitter, Inc.

FireVisor Systems Pte. Ltd., founded in 2018 and based in Singapore, offers an AI-powered software platform that transforms the manufacturing sector by leveraging previously untapped data. The company focuses on automating manufacturing processes to enhance efficiency and quality control. By utilizing artificial intelligence and machine learning, FireVisor's platform detects, analyzes, and monitors defects in production, thereby minimizing the reliance on human inspectors and process control engineers. This innovative approach aims to create self-aware factories that can autonomously optimize operations, reducing costs associated with poor quality and increasing overall profitability for clients. In a global manufacturing industry valued at $17.2 trillion, FireVisor seeks to harness the vast amounts of data generated by machines to drive significant enhancements in productivity and operational effectiveness.