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.

Theremia is a health technology company that leverages artificial intelligence to transform drug development, with a focus on neurological disorders. It employs advanced machine learning to optimize drug compounds for specific demographic groups, enhancing treatment effectiveness and reducing adverse effects.

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

Trident AI is a technology company specializing in AI-driven fraud investigation software. Its mission is to create a world free of fraud victims by employing AI to combat increasingly sophisticated fraudulent activities. The company's software assists banks and fintech businesses worldwide in managing fraud more effectively, reducing false positives, and enhancing genuine fraud detection.

Rightbot develops AI-driven robotics technology for warehouse automation. Their autonomous mobile robots specialize in bin-picking, automating tasks such as order fulfillment, inventory replenishment, cycle audit, and consolidation.

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.

Betterdata is a data platform that specializes in creating programmable synthetic data to protect real data while facilitating secure data sharing. By transforming limited real data into unlimited synthetic data that retains the look, feel, and behavior of actual data, Betterdata enables organizations to safely share and access data across teams, enterprises, and international borders. The platform is designed to help businesses unlock their data assets while ensuring consumer privacy, equipping them with advanced tools to generate high-quality synthetic data. This capability not only supports the development of sophisticated artificial intelligence applications but also allows data professionals to access valuable data and create new revenue opportunities.

Vivid Machines is a startup that builds a precision crop management platform for fruit and vegetable producers. The system combines advanced vision sensors, multispectral imaging, and machine learning to deliver real‑time analytics. It quantifies fruit size distribution, detects pests and diseases, and assesses plant health, enabling growers to digitize the physical and chemical attributes of their fields. By providing plant‑specific insights and predictive tools, the platform helps farmers optimize resource use, improve yield and product quality, and increase the proportion of crops that reach grocery stores.

Founded in 2019, DeepLife is a biotechnology company based in Paris, France. It specializes in developing digital twins of cells to accelerate drug discovery. The company uses advanced modeling techniques and deep learning on multi-omics data to simulate cell responses and identify new targets, biomarkers, and potential drug candidates.

Jackett is a SaaS platform that automates test creation and grading for K-12 schools using artificial intelligence. It transforms existing educational content into automatically generated tests, enabling teachers to work up to 18 times faster than manual processes.

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 specializes in automated video localization. Its software uses advanced neural networks and speech synthesis to translate voice tracks in videos, enabling content creators to reach global audiences efficiently and cost-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.

Unscript.ai is a video creation platform that specializes in generating personalized synthetic videos using advanced artificial intelligence technology. By combining the faces and voices of social influencers with AI, Unscript aims to create highly engaging and interactive video content that addresses conversion and engagement challenges faced by brands. The platform allows companies to produce thousands of unique video messages tailored to individual customers, enhancing engagement at critical points in the purchasing journey. This innovative approach helps brands foster customer loyalty and improve conversion rates through customized video campaigns.

Gensyn develops a machine learning computing protocol that connects global compute hardware resources like GPUs and CPUs. It enables engineers, researchers, and academics to access these resources securely for deep learning models without compromising data privacy or compliance.

Nostos Genomics partners with genetic testing labs to accelerate diagnoses for individuals with genetic diseases. Their platform combines machine learning and synthetic biology to enhance diagnostic accuracy and efficiency.

AarogyaAI is an artificial intelligence driven software as a service that diagnoses drug-resistant infections, including drug-resistant tuberculosis. It accepts a patient's DNA sequence via a cloud-based platform and, using machine-learning algorithms, provides a comprehensive drug susceptibility report within hours, enabling healthcare providers to select effective treatment options and drug combinations promptly.

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 is a London-based company established in 2018 that specializes in developing software to automate repetitive tasks through machine learning. The company's primary product observes users over a period of 2-3 weeks, capturing their clicks and keystrokes to understand their workflow. This data is then processed using advanced algorithms to create a comprehensive automation map, streamlining the user's tasks. Mimica's technology aims to enhance productivity by simplifying the automation process, allowing businesses to focus on more strategic activities.

EyePick is a technology company that specializes in automating manual tasks primarily within the food industry, utilizing vision-guided robots and advanced machine-learning technologies. The company develops solutions that enable robots to see, understand, and interact with their environment, allowing for efficient execution of tasks such as pick and drop, pick and place, bin picking, and sorting. In addition to the food sector, EyePick extends its automation solutions to logistics, retail, manufacturing, and pharmaceutical industries, aiming to enhance productivity and streamline operations by replacing traditional manual processes with advanced robotic systems.

Proportunity Limited is a technology-driven mortgage lender based in London, United Kingdom, founded in 2016 by Vadim Toader and Stefan Boronea. The company specializes in providing mortgage and equity loans designed to assist first-time home buyers in increasing their deposits. Proportunity utilizes an AI-powered forecasting platform to analyze real estate data and identify emerging trends and high-growth areas within the UK housing market. By leveraging machine learning, the company offers insights that enable customers to purchase homes in areas projected for significant appreciation, allowing them to pay less than their current rent and save more effectively. Through its innovative approach, Proportunity aims to facilitate homeownership for individuals seeking to enter the property market.

Zolnoi optimizes manufacturing performance via data analytics. It offers IoT-based sensors, AI-driven predictive maintenance, and a SaaS platform, Integrate+, for insights generation.

PolyAI Ltd is a company that specializes in developing a conversational artificial intelligence platform aimed at enhancing human-machine voice interactions. Established in 2017 and headquartered in London, United Kingdom, with an additional office in New York, the company focuses on building enterprise voice assistants that engage in natural conversations with customers to address their needs. The platform utilizes advanced machine learning and natural language processing technologies, enabling it to understand and respond to customers effectively, regardless of the variations in their speech. Key features of PolyAI’s platform include multilingual support, dynamic flow design, and task-agnostic capabilities, allowing developers to create seamless and human-like interactions within various digital environments.

NeuroPixel.AI is a deep-tech platform specializing in apparel cataloging through advanced AI and machine learning technologies. The company has developed a proprietary framework known as DeepNet, which streamlines the process of creating high-quality catalog images for online retail. By allowing clients to photograph apparel on a mannequin, NeuroPixel.AI enables the generation of realistic images that showcase the clothing as if worn by models in various poses. This innovative approach not only enhances the visual appeal of online storefronts but also offers a cost-effective solution for retailers looking to improve their product presentation.

Vivid Machines is a startup that builds a precision crop management platform for fruit and vegetable producers. The system combines advanced vision sensors, multispectral imaging, and machine learning to deliver real‑time analytics. It quantifies fruit size distribution, detects pests and diseases, and assesses plant health, enabling growers to digitize the physical and chemical attributes of their fields. By providing plant‑specific insights and predictive tools, the platform helps farmers optimize resource use, improve yield and product quality, and increase the proportion of crops that reach grocery stores.

Zolnoi optimizes manufacturing performance via data analytics. It offers IoT-based sensors, AI-driven predictive maintenance, and a SaaS platform, Integrate+, for insights generation.

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.

Founded in London in 2017, nPlan specializes in AI-driven construction project management software. Its solution uses machine learning to provide schedule certainty, identify risks, suggest optimal execution paths, and offer statistical risk attribution for individual activities.

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.

Aspiro is a company that specializes in voice AI-driven sales coaching through its software as a service (SaaS) platform. The solution is designed to provide continuous, automated coaching for sales teams, allowing sales leaders to onboard and develop their representatives effectively. Aspiro's software tailors sales tactics to various buyer personas and situations, offering instant feedback and performance scores. It enhances essential skills such as speaking, critical thinking, creativity, listening, and persuasion. Additionally, the platform features fully automated conversational role-plays, equipping sales representatives with contextual inputs that align with their specific product and personal selling style.

NeuroPixel.AI is a deep-tech platform specializing in apparel cataloging through advanced AI and machine learning technologies. The company has developed a proprietary framework known as DeepNet, which streamlines the process of creating high-quality catalog images for online retail. By allowing clients to photograph apparel on a mannequin, NeuroPixel.AI enables the generation of realistic images that showcase the clothing as if worn by models in various poses. This innovative approach not only enhances the visual appeal of online storefronts but also offers a cost-effective solution for retailers looking to improve their product presentation.

Rightbot develops AI-driven robotics technology for warehouse automation. Their autonomous mobile robots specialize in bin-picking, automating tasks such as order fulfillment, inventory replenishment, cycle audit, and consolidation.

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

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

Gensyn develops a machine learning computing protocol that connects global compute hardware resources like GPUs and CPUs. It enables engineers, researchers, and academics to access these resources securely for deep learning models without compromising data privacy or compliance.

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 specializes in automated video localization. Its software uses advanced neural networks and speech synthesis to translate voice tracks in videos, enabling content creators to reach global audiences efficiently and cost-effectively.

Qantev operates a health claims platform that leverages artificial intelligence to optimize insurer claims operations. Its proprietary algorithm helps configure provider networks and reduce claims leakage, enabling data-driven decision-making for global health insurance businesses.

Founded in 2019, Sense Street specializes in transforming unstructured market conversations into actionable insights for over-the-counter (OTC) capital markets. The company's platform employs supervised learning algorithms to understand liquidity dynamics, enabling investment banks and asset managers to make data-driven decisions.

Phantasma Labs is a London-based company that develops, owns, and operates a simulation platform that creates datasets and models of human behavior to train autonomous vehicles for optimal responses in extreme situations. Founded in 2018, the company focuses on generating large-scale, realistic simulations of how pedestrians, cyclists, and other road users interact with autonomous systems. Its software-as-a-service platform enables AI and planning systems for self-driving cars to learn from real-life scenarios safely, helping vehicles anticipate human actions and improve decision-making. By simulating real-world driving environments with virtual humans, Phantasma Labs supports the development of AI that can better understand and respond to human behavior, reducing risk in training and testing.

Novoic develops an AI-driven speech analytics platform designed for clinical use. It enables healthcare professionals to identify and track changes in speech patterns associated with neurological diseases, particularly early signs of dementia.

DeepSpin GmbH, founded in 2019 and based in Berlin, Germany, specializes in the development of an innovative artificial intelligence-powered magnetic resonance imaging (MRI) system. The company's technology aims to significantly reduce the cost, size, and weight of traditional MRI machines, thereby enhancing accessibility to medical imaging for patients worldwide. By utilizing generative topological design for its hardware and deep learning techniques for image processing, DeepSpin's MRI system seeks to make advanced medical imaging available in a variety of previously underserved healthcare settings. This approach not only aims to improve patient care but also to democratize access to essential medical diagnostics globally.

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.

Founded in 2019, Sense Street specializes in transforming unstructured market conversations into actionable insights for over-the-counter (OTC) capital markets. The company's platform employs supervised learning algorithms to understand liquidity dynamics, enabling investment banks and asset managers to make data-driven decisions.

DeepSpin GmbH, founded in 2019 and based in Berlin, Germany, specializes in the development of an innovative artificial intelligence-powered magnetic resonance imaging (MRI) system. The company's technology aims to significantly reduce the cost, size, and weight of traditional MRI machines, thereby enhancing accessibility to medical imaging for patients worldwide. By utilizing generative topological design for its hardware and deep learning techniques for image processing, DeepSpin's MRI system seeks to make advanced medical imaging available in a variety of previously underserved healthcare settings. This approach not only aims to improve patient care but also to democratize access to essential medical diagnostics globally.

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 creating advanced synthetic voice technologies tailored for the video game and entertainment industries. The company specializes in developing expressive and hyperrealistic text-to-speech capabilities, allowing game developers to access realistic voice acting that enhances the immersive experience of their projects. By leveraging machine learning, Sonantic produces believable human voices on-demand, which can be easily edited and directed in real-time. This innovative approach streamlines the workflow for creative professionals, enabling them to sculpt and refine voice performances efficiently.

Nostos Genomics partners with genetic testing labs to accelerate diagnoses for individuals with genetic diseases. Their platform combines machine learning and synthetic biology to enhance diagnostic accuracy and efficiency.

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.

UpStride is a technology company that specializes in enhancing deep learning performance, particularly in the field of computer vision. It offers an application programming interface platform that leverages advanced techniques from signal processing and performance computing. By focusing on data efficiency and power consumption, UpStride's platform is designed to improve the accuracy of neural networks, allowing clients to extract more information from images while utilizing less data. This innovative approach enables the amplification of artificial intelligence algorithms, positioning UpStride as a key player in the optimization of deep learning technologies.

Milky Way AI develops computer vision-powered AI software that provides marketing insights for FMCG/CPG companies. Its platform offers real-time store analytics, enabling sales, marketing, and operations teams to act swiftly on insights related to marketing and distribution.

Blazar SAS is a Paris-based company founded in 2019 that focuses on developing a machine learning platform aimed at predicting cancer patients' responses to immunotherapy. The platform integrates various data sources, including patients' medical histories, tumor characteristics, and genetic profiles, to provide insights into treatment responses and potential resistance. By offering predictions of both response and non-response to immunotherapy, Blazar enables healthcare professionals to make more informed decisions regarding treatment options for their patients, ultimately advancing personalized medicine in the field of immuno-oncology and inflammatory conditions.

PacketAI is a developer of advanced automation software that specializes in monitoring enterprise infrastructure. The company utilizes artificial intelligence and machine learning to predict incidents within IT systems, identifying the root causes and facilitating automated remediation to mitigate potential disruptions. By effectively managing raw event data, PacketAI's platform enables businesses to save significant costs associated with infrastructure incidents, potentially reducing expenses by up to 70%. The company offers both integration into existing centralized data pools and comprehensive services for data collection, centralization, and cleaning, thereby enhancing the efficiency and productivity of its clients.

EyePick is a technology company that specializes in automating manual tasks primarily within the food industry, utilizing vision-guided robots and advanced machine-learning technologies. The company develops solutions that enable robots to see, understand, and interact with their environment, allowing for efficient execution of tasks such as pick and drop, pick and place, bin picking, and sorting. In addition to the food sector, EyePick extends its automation solutions to logistics, retail, manufacturing, and pharmaceutical industries, aiming to enhance productivity and streamline operations by replacing traditional manual processes with advanced robotic systems.

Ai Palette is a company that specializes in AI-driven product development solutions for the food and consumer packaged goods (CPG) sectors. It focuses on creating innovative product concepts that align with a brand's identity and existing portfolio. The company leverages insights from millions of digital conversations combined with proprietary company data to identify consumer needs and trends. Utilizing advanced machine learning techniques, natural language processing, and image recognition, Ai Palette's platform aids FMCG companies in determining the most promising product launches, thereby enhancing their chances of market success. Through its technology, Ai Palette addresses unmet consumer demands and supports businesses in developing products that resonate with their target audience.

Unitary Ltd is a company based in Cambridge, United Kingdom, founded in 2019, that specializes in developing artificial intelligence software utilizing graph-based technology. The company focuses on creating context-aware AI and multimodal machine learning approaches to analyze online content. By interpreting the context of videos and other visual material, Unitary's software enables users to detect and manage inappropriate content effectively. The primary aim of the company is to enhance online safety by providing tools that allow communities to identify harmful content swiftly and accurately, thereby fostering a safer Internet environment.

Founded in 2018, Teamflow operates a platform that enhances organizational productivity by harnessing human intelligence. It identifies relevant colleagues who can contribute valuable insights to projects.

AarogyaAI is an artificial intelligence driven software as a service that diagnoses drug-resistant infections, including drug-resistant tuberculosis. It accepts a patient's DNA sequence via a cloud-based platform and, using machine-learning algorithms, provides a comprehensive drug susceptibility report within hours, enabling healthcare providers to select effective treatment options and drug combinations promptly.

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. Established in 2017 and headquartered in London, United Kingdom, with an additional office in New York, the company focuses on building enterprise voice assistants that engage in natural conversations with customers to address their needs. The platform utilizes advanced machine learning and natural language processing technologies, enabling it to understand and respond to customers effectively, regardless of the variations in their speech. Key features of PolyAI’s platform include multilingual support, dynamic flow design, and task-agnostic capabilities, allowing developers to create seamless and human-like interactions within various digital environments.

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 technology company that specializes in enhancing deep learning performance, particularly in the field of computer vision. It offers an application programming interface platform that leverages advanced techniques from signal processing and performance computing. By focusing on data efficiency and power consumption, UpStride's platform is designed to improve the accuracy of neural networks, allowing clients to extract more information from images while utilizing less data. This innovative approach enables the amplification of artificial intelligence algorithms, positioning UpStride as a key player in the optimization of deep learning technologies.

Staple specializes in cognitive AI for efficient document processing. Its proprietary technology combines computer vision, machine learning, NLP, and OCR to extract structured data from documents at scale, regardless of layout or language. This enables Staple to process data up to 25 times faster and 80% more affordably than manual methods.

GTN Ltd. is a London-based company specializing in drug discovery through the innovative application of quantum machine learning technology. Incorporated in 2017, GTN is focused on addressing the significant challenges in pharmaceutical development, notably the escalating costs and diminishing output of traditional research and development methods. The company utilizes its proprietary Generative Tensorial Networks technology to explore the vast potential of drug-like molecules. This advanced software integrates machine learning and quantum physics techniques to efficiently simulate, filter, and identify novel molecules, thereby reducing development costs by half and uncovering compounds that may otherwise remain undiscovered. Through its unique approach, GTN aims to enhance the drug discovery process and contribute to more effective therapeutic interventions.

Ai Palette is a company that specializes in AI-driven product development solutions for the food and consumer packaged goods (CPG) sectors. It focuses on creating innovative product concepts that align with a brand's identity and existing portfolio. The company leverages insights from millions of digital conversations combined with proprietary company data to identify consumer needs and trends. Utilizing advanced machine learning techniques, natural language processing, and image recognition, Ai Palette's platform aids FMCG companies in determining the most promising product launches, thereby enhancing their chances of market success. Through its technology, Ai Palette addresses unmet consumer demands and supports businesses in developing products that resonate with their target audience.

Founded in London in 2017, nPlan specializes in AI-driven construction project management software. Its solution uses machine learning to provide schedule certainty, identify risks, suggest optimal execution paths, and offer statistical risk attribution for individual activities.

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.

Adaface develops an AI-driven platform for automating first-round technical interviews. Its conversational AI, Ada, engages candidates in discussions about algorithms, architecture design, programming languages, and tech frameworks, mimicking a hiring manager's approach to accurately evaluate skills.

Neurobit develops Software as a Medical Device powered by AI that analyzes sleep vitals to identify sleep biomarkers and support predictive, precision health. The company aims to deliver universally accessible health analytics to improve care quality and efficiency for clinicians and patients. Its Biomarker Bridge initiative creates a collaborative platform linking AI-driven biomarker developers to accelerate integration of digital biomarkers into clinical practice. Neurobit's platform functions as a medical device for sleep and respiratory disorder units and as a clinical trial portal for large-scale population studies, applying machine learning and acoustic neurofeedback to understand and optimize sleep. Used by leading universities, hospitals, and R&D centers worldwide, the technology supports research, diagnosis, and treatment planning in cardiopulmonary and neurological contexts.

Untangle AI develops a platform that enables businesses to comprehend, modify, compress, and explain their deep learning models. This enhances transparency and addresses significant challenges hindering wider adoption of AI solutions.

Musiio is an artificial intelligence company specializing in the music industry, primarily serving B2B clients such as sync companies, labels, and streaming services. The company has developed an AI platform capable of "listening" to music, which allows for advanced tagging, searching, curation, and playlist creation. By employing deep learning algorithms, Musiio's technology can analyze a vast array of music tracks, identifying key characteristics such as recording quality and artist skill, as well as predicting the likelihood of a track's success. This capability enables users to manage large music catalogs more efficiently, delivering actionable insights that enhance their decision-making processes. Ultimately, Musiio's solutions aim to improve the hit-rate for its clients and drive revenue growth by addressing the challenges of content curation and data processing in the music sector.

AIMLedge is a technology company focused on creating a software platform that automates the development and deployment of customized deep learning solutions for edge devices, particularly low-end commodity cameras. By optimizing these solutions, AIMLedge significantly reduces development time by 80% and facilitates plug-and-play deployment. The platform also offers video and behavior analytics capabilities, allowing businesses to analyze customer preferences and buying patterns. This enables organizations to effectively evaluate their visual merchandising and marketing strategies. AIMLedge aims to democratize access to advanced artificial intelligence and Internet of Things technologies for businesses of all sizes and across various industries.

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 is a London-based company established in 2018 that specializes in developing software to automate repetitive tasks through machine learning. The company's primary product observes users over a period of 2-3 weeks, capturing their clicks and keystrokes to understand their workflow. This data is then processed using advanced algorithms to create a comprehensive automation map, streamlining the user's tasks. Mimica's technology aims to enhance productivity by simplifying the automation process, allowing businesses to focus on more strategic activities.

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.

Founded in London in 2017, nPlan specializes in AI-driven construction project management software. Its solution uses machine learning to provide schedule certainty, identify risks, suggest optimal execution paths, and offer statistical risk attribution for individual activities.

Medios Technologies is a developer of deep learning software focused on enhancing the detection of diabetic retinopathy. The company's innovative artificial intelligence assistant allows healthcare providers to capture images of the eye and analyze them without the need for a specialist. This capability enables diabetes doctors to diagnose diabetic retinopathy during routine check-ups, thereby improving patient care and helping to prevent blindness. By integrating advanced technology into everyday medical practices, Medios Technologies aims to support healthcare professionals in more effectively managing diabetes-related eye conditions.

Bloomsbury AI Limited was a London-based company that developed a language processing platform aimed at enabling users to create, utilize, and share text-understanding computer applications. Founded in April 2015 by a team of innovators, the company utilized artificial intelligence to automate expertise and facilitate data analytics through written dialog with computers. This approach allowed users to execute repetitive tasks more efficiently, mimicking the learning process of human apprentices. Bloomsbury AI's technology was designed to read background documents and learn from expert feedback, ultimately creating programs that could perform similar actions. The company, which aimed to streamline the interaction between users and technology, went into liquidation, and at one point was a subsidiary of Facebook, Inc.

Eblur is a developer of artificial intelligence-based game coaching software designed specifically for eSports games. The company's innovative software acts as an automated coach, utilizing machine learning algorithms trained on data from over 500,000 matches. Eblur's technology automatically captures game elements from the screen, considers team dynamics, and provides real-time analytical feedback during matches. This approach aims to enhance players' performance by offering personalized coaching insights and strategies, thus making the gaming experience more engaging and competitive.

Cyra is an innovative company that specializes in developing a smart AI-based recruiting assistant designed to transform the recruitment industry. By leveraging principles of machine learning and natural language processing, Cyra offers an application-enabled platform that automates the hiring workflow for employers. This platform connects employers with job seekers more efficiently, addressing the inefficiencies and high costs traditionally associated with recruitment. Through its advanced technology, Cyra enables employers to identify and hire the most suitable candidates, streamlining the entire recruitment process.

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.

Bloomsbury AI Limited was a London-based company that developed a language processing platform aimed at enabling users to create, utilize, and share text-understanding computer applications. Founded in April 2015 by a team of innovators, the company utilized artificial intelligence to automate expertise and facilitate data analytics through written dialog with computers. This approach allowed users to execute repetitive tasks more efficiently, mimicking the learning process of human apprentices. Bloomsbury AI's technology was designed to read background documents and learn from expert feedback, ultimately creating programs that could perform similar actions. The company, which aimed to streamline the interaction between users and technology, went into liquidation, and at one point was a subsidiary of Facebook, Inc.

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

Neo AI specializes in developing technology that enhances the accessibility and efficiency of machine learning. By reducing costs and accelerating processes, Neo AI enables a wide range of industries to leverage advanced computational capabilities. The company's software is designed to make complex computations more accessible, thereby increasing productivity for its clients across various sectors.

Accelerated Dynamics X Ltd is a London-based company founded in 2015 that specializes in developing artificial intelligence software and data analysis tools for drones and other robotic systems. The company offers a range of products, including its Mission Manager software, which provides command and control capabilities for unmanned assets, allowing for autonomous decision-making and planning in complex environments. Accelerated Dynamics' solutions cater to various industries, including security, agriculture, logistics, and defense, enabling seamless operations and data collection. The company's proprietary technology leverages machine learning and multi-agent systems to enhance robot autonomy, fleet management, and human-robot interactions. Additionally, Accelerated Dynamics develops bio-inspired unmanned aerial vehicles (UAVs) designed to withstand challenging conditions, offering greater endurance and performance compared to traditional quadcopters.

Suzu Technologies is a London-based B2B startup focused on providing advanced artificial intelligence solutions for e-commerce. Backed by Entrepreneur First, a leading deep technology incubator in Europe, Suzu aims to enhance retail revenue by analyzing customer journeys and real-time behaviors. The company offers an online marketing analytics platform that utilizes state-of-the-art deep learning and behavioral psychology to generate timely, personalized nudges. This technology helps persuade customers to make purchasing decisions while they are still engaged on the site, effectively converting casual browsers into buyers.

True AI Limited is a London-based artificial intelligence company founded in 2015, specializing in the development of software that utilizes deep learning algorithms to enhance customer service operations. The company's flagship product, TypeGenie, is designed to improve customer experience by automating responses in customer service interactions. This semi-automatic system learns from conversations, providing reply suggestions to service agents and streamlining chat management across various channels. True AI's innovative approach is built on extensive research and leverages advanced learning techniques to optimize the efficiency of customer support services.

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.

Innersight develops software that converts standard 2D medical scans into detailed 3D models, enhancing surgeons' visualization of tumors. This machine-aided technique improves surgical outcomes and reduces cancer treatment costs.

Interpretive Ltd. is a London-based company founded in 2014 that specializes in developing a data interface designed to enhance sales performance through predictive analytics. The company offers automated customer clustering and proactive notifications of potential problems and opportunities, enabling sales teams to make informed decisions quickly. By utilizing machine learning, Interpretive automates complex analytical tasks such as gap analysis and churn prediction, delivering clear recommendations directly to sales representatives. This allows sales personnel to focus on their core competencies while increasing productivity and revenue. The company’s data solutions are hosted on Google’s cloud platform, making them accessible to small and medium-sized enterprises as well as larger organizations across Europe. Interpretive aims to empower sales teams by transforming vast amounts of data into actionable insights, thereby enhancing their overall effectiveness.

Magic Pony Technology Ltd. is a London-based company, established in 2014, that specializes in developing advanced technologies for video compression and enhancement using machine learning and computer vision techniques. The firm focuses on delivering innovative solutions for video upscaling, compression, and visual processing, with applications across web, desktop, and mobile platforms. With a strong research and development team boasting over 30 years of combined experience and more than 100 publications in major international conferences and journals, Magic Pony Technology has positioned itself at the forefront of its field, holding over five patents pending. The company operates as a subsidiary of Twitter, Inc. since June 2016.

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.