Microsoft Corporation is a leading American multinational technology company based in Redmond, Washington, that develops, manufactures, licenses, and supports a diverse range of software products and services. Its offerings include the Windows operating system, Microsoft Office suite, and a variety of enterprise solutions through Microsoft Dynamics, which encompasses customer relationship management (CRM) and enterprise resource planning (ERP) software. Additionally, Microsoft provides gaming hardware like Xbox consoles, as well as cloud services via Microsoft Azure. The company also runs several global accelerator programs, such as those in London, Seattle, Beijing, and Paris, aimed at nurturing startups by providing mentorship, technical support, and resources to foster growth and innovation. With a commitment to empowering entrepreneurs, Microsoft for Startups offers free access to its cloud services and facilitates connections with its extensive partner ecosystem. Founded by Bill Gates and Paul Allen in 1975, Microsoft has established itself as a pivotal player in the technology sector, serving both consumer and commercial markets worldwide.
Luca is an innovative platform designed for enterprise retailers, utilizing artificial intelligence to enhance pricing strategies. Founded by individuals who previously developed pricing technology at Uber, Luca addresses the challenges retailers face in optimizing pricing decisions. The platform identifies potential revenue and profit opportunities, provides intelligent recommendations for price adjustments, and significantly reduces the time required for pricing analysis. By offering machine learning-based insights into customer price sensitivities, Luca enables retailers to achieve precise margin and revenue goals tailored to their specific business objectives. Supported by notable investors, Luca aims to transform the way retailers approach pricing, empowering them to leverage sophisticated tools for better financial outcomes.
IPOXCap AI (FinanceGPT) is a generative AI startup that helps financial professionals and investors automate their tasks and make better decisions faster. Our platform leverages the latest AI technology to provide a a comprehensive suite of AI-driven tools and services that generate insights from a variety of sources, including news articles, financial statements, and other financial data. without using coding and data science skills.
Wayve Technologies Ltd specializes in developing artificial intelligence software for self-driving cars, focusing on a data-driven approach that learns to drive in a manner similar to humans. Founded in 2017 and headquartered in London, the company employs end-to-end deep learning to create an autonomous driving system capable of navigating complex urban environments. Wayve operates a fleet of electric vehicles equipped for autonomous operation and technology development, with the aim of deploying its technology on public roads. The firm is dedicated to pioneering AI software solutions that enable businesses to adapt quickly and safely to new driving scenarios across various locations worldwide.
Suplari is an innovative startup, lead by veteran entrepreneurs focused on leveraging machine learning to help enterprises change the way they manage their suppliers and costs. Suplari aggregates data from disconnected internal systems including contracts, invoices, and usage data into a common datastore and then delivers applications on top of that data that provides customers with a holistic view of their suppliers.
Predictiva is a company that provides an artificial intelligence platform designed to enhance financial trading and investment management using advanced Deep Reinforcement Learning algorithms. It offers solutions that cater to various financial assets, focusing on optimizing decision-making in complex financial markets. By leveraging cutting-edge AI technology, Predictiva aims to deliver predictable profits while minimizing risks, enabling users to engage in a more accurate, data-driven approach to trading. The platform is accessible to users without a background in AI or data science, utilizing autonomous machine learning algorithms to simplify the trading process and enhance financial intelligence for traders and investment managers.
Predictiva is a company that provides an artificial intelligence platform designed to enhance financial trading and investment management using advanced Deep Reinforcement Learning algorithms. It offers solutions that cater to various financial assets, focusing on optimizing decision-making in complex financial markets. By leveraging cutting-edge AI technology, Predictiva aims to deliver predictable profits while minimizing risks, enabling users to engage in a more accurate, data-driven approach to trading. The platform is accessible to users without a background in AI or data science, utilizing autonomous machine learning algorithms to simplify the trading process and enhance financial intelligence for traders and investment managers.
Eaigle is an intelligent video analytics platform that leverages machine learning and artificial intelligence to enhance water management and sustainable operations in aquatic centers and swimming pools. The platform offers a comprehensive solution that integrates hardware, software, and cloud data, enabling facility managers to monitor and control water usage effectively through real-time occupancy tracking. In addition to its focus on aquatic environments, Eaigle's technology provides insights across various sectors, including supply chain logistics and commercial real estate, by offering features such as footfall traffic analysis, heat map analytics, and resource utilization monitoring. This versatility allows enterprises to optimize their processes, reduce costs, and improve overall operational performance.
OpenAI is a non-profit artificial intelligence (AI) research company, associated with business magnate Elon Musk, that aims to carefully promote and develop friendly AI in such a way as to benefit, rather than harm, humanity as a whole. The organization aims to "freely collaborate" with other institutions and researchers by making its patents and research open to the public. The company is supported by over US$1 billion in commitments; however, only a tiny fraction of the $1 billion pledged is expected to be spent in the first few years. The founders are motivated in part by concerns about existential risk from artificial general intelligence.
Syntiant is moving artificial intelligence and machine learning from the cloud to edge devices. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for always-on applications in battery-powered devices, such as smartphones, smart speakers, earbuds, hearing aids, and laptops.
It was founded in 2017 and is headquartered in Irvine, California.
Lobe Artificial Intelligence, Inc. is a company based in San Jose, California, that specializes in developing software for creating and applying deep learning and artificial intelligence models without the need for coding. Founded in 2015 and now a subsidiary of Microsoft Corporation, Lobe provides a visual platform that simplifies the process of building custom deep learning models. This tool enables users to quickly train models and integrate them directly into applications, making the technology accessible to individuals from various backgrounds. Lobe's approach allows users to construct AI solutions easily, akin to assembling LEGO bricks, thereby fostering innovation in the development of intelligent products and experiences.
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.
Semantic Machines is developing fundamental, next generation Conversational AI technology. We provide novel models for dialogue and NLP; as well as new approaches for automatically generating limitless AI Assistant system capacity. The mission of Semantic Machines is to revolutionize human-to-computer interaction, by creating the first viable, scalable, conversational computing paradigm. This new paradigm will enable dramatic improvements - in terms both customer experience and costs - in the areas of customer service and home automation.
Hazy Limited is a London-based company that specializes in automatic data anonymization using artificial intelligence. Incorporated in 2017, Hazy develops a platform that generates synthetic data, which retains the statistical properties of real datasets while ensuring the privacy and confidentiality of personal information. This innovative approach allows businesses to share and utilize data for analytics and innovation without the risks associated with compliance and security breaches. By capturing patterns from raw data, Hazy creates entirely synthetic datasets that provide the statistical value of the original data, enabling data-centric organizations to unlock their data potential more safely and efficiently. Hazy is recognized as a spin-out from University College London and has garnered backing from prominent partners such as Microsoft and Nationwide.
L2P Limited is an international eSports EdTech company based in Russia that specializes in developing an educational platform for both professional and non-professional gamers. The company focuses on enhancing players' skills through a personalized learning experience that incorporates artificial intelligence and machine learning technologies. Its platform offers individual post-match feedback, tactical insights, video lessons from professional players, and in-game tasks to facilitate player improvement. L2P Limited has attracted over 1.5 million subscribers across its products for games like Dota 2 and League of Legends and has analyzed more than 60 million matches, producing over 2,000 instructional videos. The company aims to expand its offerings to cover additional games and enter new language markets in the near future.
Founded in 2016, the DeepCare Co., Ltd is a medical technology company that applies artificial intelligence (AI) technology to early screening and identification of medical images. The company focuses on developing AI-based techniques in pathological image detection, recognition and analysis. The company is devoted to providing products and services with highest quality for medical institutions and medical device manufacturers by integrating machine vision, deep learning and data mining technology.
WNNA is an AI-driven personal recommendation engine designed to suggest activities based on user preferences and typical decision-making patterns. The WNNA app curates recommendations for various activities, including music, movies, dining options, and attractions, by analyzing a wide range of online sources. This approach enables the app to provide tailored suggestions that align with users' interests, enhancing their decision-making experience.
Hippo Data is a startup focused on fintech data analytics, utilizing advanced technologies such as machine learning and artificial intelligence to enhance data processing and predictive analytics. The company specializes in monitoring, storing, and analyzing time series data to forecast future events and trends. With a strong emphasis on research and development, Hippo Data employs a variety of analytical techniques, including clustering, decision trees, and regression modeling, to automatically analyze extensive datasets with multiple variables. Their proprietary analytics systems serve as the backbone of the RiceBowl platform, a crowd-sourced trading system developed by Six Capital. By leveraging social media data and technical indicators, Hippo Data enables traders to make informed decisions based on predictive insights.
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.
Maluuba Inc is a company based in Waterloo, Canada, that specializes in designing and delivering deep learning applications for natural language processing. Founded in 2011, Maluuba focuses on enhancing machine capabilities to read and understand language similarly to the human brain through advanced deep learning algorithms and reinforcement learning techniques. Its applications facilitate various tasks, such as searching for weather, events, and stores, as well as organizing alarms and calendars. The company aims to advance machine understanding and decision-making through its technology, which emphasizes machine reading comprehension, dialogue understanding, and human-like intelligence traits such as memory and common-sense reasoning. As of early 2017, Maluuba operates as a subsidiary of Microsoft Corporation and collaborates with leading organizations across diverse sectors including communications, technology, and automotive.
WYSEngine Information Technology (Beijing) Co., Ltd. is a private company based in China that specializes in artificial intelligence solutions for industrial applications. The company develops systems that predict equipment failures, utilizing machine learning and big data analytics to monitor the status of machinery. WYSEngine's services are geared towards enhancing operational efficiency and asset management for industrial enterprises. By offering solutions that include early warning systems for equipment malfunctions, the company aims to help clients improve equipment availability and reduce operational costs. Their technology has successfully been implemented in the new energy and manufacturing sectors, enabling clients to maintain healthier operational environments.
LinkingMed Inc. focuses on building oncology data platform and medical data analysis. It offers AI and cloud based organ contouring, target delineation, automatic planning, radiotherapy quality assurance tools and services to radiotherapy department, third party medical imaging and radiotherapy centers. And it offers professional remote planning and radiotherapy network operation services to oncologists and medical physicists. LinkingMed Inc. keeps long-term and strategic collaboration with both international and domestic research and clinical institutes. It has applied more than ten national scientific funds and collaborated with NIH, Harvard Medical School, UT Southwestern Medical Center.
DataRPM Corporation develops a cognitive data science platform that automates machine learning for enterprises, both on-cloud and on-premise. The company's flagship offering, the Cognitive Predictive Maintenance (CPdM) platform, is designed to support industries in managing predictive maintenance within the industrial Internet of Things. This platform connects to data lakes and conducts multiple machine learning experiments to identify patterns, anomalies, and influencing factors, ultimately creating an ensemble of predictive models. DataRPM serves a global clientele, including Fortune 500 companies, assisting them in areas such as predictive maintenance, product recommendations, and churn predictions. Founded in 2011 and headquartered in Redwood City, California, DataRPM also has offices in the United Kingdom and Bengaluru, India. The company operates as a subsidiary of Progress Software Corporation.
Pymetrics, Inc. is a company that specializes in developing neuroscience-based assessment and prediction technology aimed at transforming the recruitment, retention, and development of employees. Founded in 2013 and headquartered in New York City, Pymetrics utilizes a combination of neuroscience and machine learning to create a talent matching platform. This platform collects behavioral data from successful professionals across various roles to identify key traits that distinguish top performers from the general population. By offering cognitive and emotional assessment solutions, along with a personalized recommendation engine, Pymetrics enhances the effectiveness and accuracy of the hiring process, while promoting unbiased recruitment practices.
Laiye is an AI interactive platform that offers consumers and enterprises with intelligent assistant products developed with natural language processing, multi-turn dialog management, and context-based recommendation technologies. The company's main product, Wulai, enables enterprises to build chatbots. It also aims to help enterprise customers improve sales revenue, marketing ROI, and service efficiency through a business messaging and conversation solutions. Laiye was founded on 2015 and is headquartered in Beijing, China.
Framed Data specializes in transforming business data into actionable insights by leveraging machine learning techniques. The company offers an analytic marketing platform that identifies high-value users, predicts user behavior, and monitors user retention. By training, optimizing, and storing production-ready models in the cloud, Framed Data provides predictions through an API, thereby reducing the need for extensive infrastructure management. Additionally, their platform features dashboards and scenario analysis tools that highlight the key drivers of important business metrics, allowing organizations to make informed decisions based on data-driven insights.
Dendrite.me is a social learning platform that provides exercises related to science, technology, engineering, and mathematics. It also enables its users to chat, comment, search, and find related content. Dendrite.me was launched in 2014.
Maxent Inc. has continued research in machine learning, complex event handling (CEP), and high performance computing. Research progress in machine learning has fully supported the development of the Fraudynamics ™ Mammoth Anti-Fraud Service Platform. Based on the real-time event and the historical data, the statistical characteristics and potential correlation characteristics are found, and the eigenvalue construction of the fingerprint technology of Maxent's patented device is constructed by using the data mining technology. Feature matrix, the establishment of mathematical models, and dynamically find the characteristics of fraud, non-supervised or semi-supervised way to dynamically adjust the parameters of training algorithm model.
Laiye is an AI interactive platform that offers consumers and enterprises with intelligent assistant products developed with natural language processing, multi-turn dialog management, and context-based recommendation technologies. The company's main product, Wulai, enables enterprises to build chatbots. It also aims to help enterprise customers improve sales revenue, marketing ROI, and service efficiency through a business messaging and conversation solutions. Laiye was founded on 2015 and is headquartered in Beijing, China.
Knomos is the next generation of legal research, enabling users to tap into their broader knowledge network using machine learning and data visualization. Discover and share key information with your colleagues. Provide clients with curated content. Transform legal research from a solitary pursuit to a collective understanding. Know More intuitively, Know More instantly, Know More with Knomos.
MedWhat is a medical artificial intelligence company developing medical cognitive computing, deep learning, machine learning, natural language processing and personalized medicine. MedWhat is building a unified algorithmic architecture to achieve human-level intelligence in medicine. The team is made of a group of doctors, data scientist, A.I. PhDs and medical researchers from Stanford University.
Defined.ai is a data science company that specializes in providing artificial intelligence training data for various machine learning applications. The company operates a self-service SaaS platform that allows users to source and enrich structured training data, enhancing the capabilities of models to interpret text, speech, and images. Additionally, Defined.ai offers an API that integrates directly with users' data processes, facilitating the retrieval of enriched training data. The company also features Neevo, an online platform that invites contributions from the public to improve AI systems. Serving industries such as automotive, banking, utilities, fintech, media, and healthcare, Defined.ai combines machine learning, data science, and crowd-sourcing to streamline global data collection and enrichment efforts, ultimately improving the quality, scalability, and time-to-market of AI and natural language processing applications. Founded in 2015, Defined.ai is headquartered in Seattle, Washington, with additional offices in Porto and Lisbon, Portugal, and Tokyo, Japan.
simMachines, Inc. is a Chicago-based company founded in 2012 that specializes in machine learning software, focusing on delivering explanations for predictions in various applications such as marketing, fraud detection, and compliance. The company's technology enables users to analyze both structured and unstructured data, uncovering patterns and anomalies while providing real-time recommendations. A key feature of simMachines' approach is its emphasis on transparency, allowing users to understand the underlying reasons behind predictions, which helps meet stringent AI auditing standards. Their product offerings include verifyAI, a platform for dynamic predictive segmentation, and personifyAI, a subscription service that utilizes location-based mobile data for behaviorally-driven segmentation. With a focus on similarity-oriented solutions, simMachines empowers data scientists, marketers, and business leaders to enhance decision-making and customer engagement through more relevant and targeted insights.
Fero Labs Inc. is a developer of an automated machine learning and artificial intelligence platform tailored for the industrial sector. Founded in 2015 and headquartered in New York, the company also has an office in Düsseldorf, Germany. Fero Labs' software adapts to changing factory conditions, providing insights that help industries such as automotive, steel, oil and gas, chemicals, and utilities enhance their operations. By combining existing data with advanced data science techniques, the platform enables customers to identify root causes of process and quality issues, facilitating continuous improvement. Additionally, it predicts material quality and potential machine failures, allowing companies to optimize energy efficiency, reduce production costs, and increase productivity.
MoBagel, Inc. specializes in developing cloud-based software that focuses on device analytics and automated data processing, enabling enterprises to leverage artificial intelligence for decision-making. The company's flagship product, Decanter AI, provides automated machine learning capabilities, allowing data scientists and business analysts to create predictive models through an intuitive visual interface. This empowers organizations across various sectors, including banking, finance, retail, manufacturing, telecommunications, and government, to address business challenges effectively. Founded in 2015 and headquartered in San Jose, California, MoBagel also maintains offices in Taipei, Shanghai, Beijing, and Tokyo, underscoring its commitment to facilitating AI-driven insights and value creation for global enterprises.
Data mining service PCSapi by Privaclouds created based on Natural Language Processing and Machine learning technology for making deep analysis of multi-language any content. Service in real time analyse big data traffic from private and relevant public sources of Users for satisfaction of Businesses. Analytical result provided through smart Rest APIs tools. Service provides new knowledge for Companies about their Clients and Customers for development and protection their Businesses. This is next evolutionary level of real time bigdata business analysis. Service in real time extracting and collecting enriched data, from the private and relevant public content of the business Clients. The Service extracts few enriched data types from relevant content: Entity, Sentiment, Keywords, Concepts, Relation and Taxonomy. Access to stored enriched data provides through intelligent tools of APIs requests.
Luyou Technology is a high-tech company that specializes in machine learning and computer vision-related hardware and software development. The company is committed to developing new-generation intelligent visual perception systems and pattern recognition algorithms for intelligent buildings and smart homes to provide users with all-new intelligent offline service experiences.
Kelsen uses big data and machine learning to provide intelligence solutions for firms in the legal industry. Big data and machine learning enables its users to obtain answers for legal questions in real time. Kelsen learns from user ratings to improve the accuracy of the search results with every search. Kelsen was founded in 2014 by Sergio Aragon and is based in Berlin.
MISingularity
Seed Round in 2015
MISingularity is a start-up focusing on in-app search and improvement of App-User interaction.
Malong Technologies, founded in 2014 and based in Shenzhen, China, specializes in artificial intelligence applications centered around computer vision technology. The company develops advanced solutions tailored for some of the world's largest retailers, focusing on visual product recognition and image content searching. Its flagship products, RetailAI Protect and RetailAI Fresh, utilize cutting-edge AI to enhance loss prevention in retail settings, particularly for self-service kiosks. Malong's machine vision technologies enable machines to achieve human-like visual perception, allowing for effective recognition of a wide range of products, including non-rigid items such as fashion and fabric.
Mmuze is a subscription-based service that provides online retailers with real-time insights into product demand, enabling them to optimize their marketing strategies. By scanning and analyzing online discussions, social media interactions, and other relevant data, Mmuze identifies trending products and predicts consumer demand. This information is then integrated with e-commerce inventory systems to tailor sales opportunities effectively. Additionally, Mmuze enhances the online shopping experience by offering a conversational AI platform that facilitates two-way interactions, helping retailers guide customers through their purchasing journeys. By leveraging natural language understanding capabilities, Mmuze aims to improve customer relationships and increase sales potential. The company, based in Israel, has established partnerships with major online retail brands and operates offices in New York, London, and Tel Aviv.
Luyou Technology is a high-tech company that specializes in machine learning and computer vision-related hardware and software development. The company is committed to developing new-generation intelligent visual perception systems and pattern recognition algorithms for intelligent buildings and smart homes to provide users with all-new intelligent offline service experiences.
Kelsen uses big data and machine learning to provide intelligence solutions for firms in the legal industry. Big data and machine learning enables its users to obtain answers for legal questions in real time. Kelsen learns from user ratings to improve the accuracy of the search results with every search. Kelsen was founded in 2014 by Sergio Aragon and is based in Berlin.
Deepomatic is a Paris-based company founded in 2014 that specializes in AI-driven software solutions for computer vision. It offers tools such as Deepomatic Studio, which enables users to design custom video recognition systems, and Deepomatic Run, which facilitates the operation of image recognition applications in production. The platform allows businesses to address image-related challenges by uploading images, training models through manual annotation and active learning, and deploying APIs. Deepomatic serves a diverse clientele, including Global 500 companies across various sectors such as automotive, healthcare, construction, oil and gas, pharmaceuticals, public transport, and retail. The company also has an office in New York, further expanding its reach in the technology landscape.
With Babbo you can learn a language from real life web content that fits your interests and proficiency level. Their machine learning technology recommends engaging texts, audio and video that form the basis of an interactive and fun learning experience.
Deep Glint focuses on enabling computers to understand the world with 3D computer vision and machine learning technologies. We are the first to provide automatic human behavior and trajectory analysis solutions to banks and shopping centers.
Deep Glint focuses on enabling computers to understand the world with 3D computer vision and machine learning technologies. We are the first to provide automatic human behavior and trajectory analysis solutions to banks and shopping centers.
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