Samsung NEXT Ventures

DataGen specializes in creating photorealistic synthetic data tailored for training neural networks in computer vision applications. The company develops simulated data technology that is scalable, bias-free, and automatically annotated. By utilizing hyper-photorealistic imagery and advanced algorithms, DataGen generates high-variance datasets, allowing clients to simulate large-scale data according to their specific needs. This innovative approach enables organizations to effectively tackle real-world challenges in computer vision, enhancing the performance of their machine learning models.

Deci is a technology company that specializes in developing a deep learning platform aimed at enhancing the efficiency of artificial intelligence models. Founded in 2019 and based in Givatayim, Israel, Deci utilizes its proprietary AutoNAC (Automated Neural Architecture Construction) technology to optimize the architecture of deep learning models, thereby maximizing hardware utilization and improving inference performance. This platform enables data scientists and developers to transform their AI models into production-ready solutions that can operate across various environments, including cloud, edge, and mobile. By streamlining the AI lifecycle and addressing production-related bottlenecks, Deci empowers enterprises to create innovative AI solutions that tackle complex challenges effectively.

Quantum Machines is a start-up focused on creating advanced control and operation systems for quantum computers. Founded in 2018 and based in Tel Aviv, Israel, the company develops a combination of software, hardware, and electronics that integrates classical engineering techniques with the principles of quantum computing. Their innovative quantum controllers translate quantum algorithms into pulse sequences, facilitating the execution of complex quantum algorithms and experiments across various industries. By leveraging expertise in algorithm development, digital signal processing, RF microwave engineering, machine learning, and quantum physics, Quantum Machines aims to enhance the capabilities and accessibility of quantum computing technology.

Multiverse Labs is a decentralized artificial intelligence ecosystem that focuses on supporting early-stage technology companies. It has developed an AI-powered multi-metaverse platform that facilitates resource sharing and the integration of decentralized applications. This platform serves as a resource marketplace for blockchain technology, computer software, and various information technology services. By enabling companies, organizations, and governments to quickly build and launch custom metaverse ecosystems, Multiverse Labs aims to enhance customer engagement, create new job opportunities, and contribute to the evolution of digital living.

Developer of a decentralized machine learning platform designed to train models while maintaining privacy, security, and compliance. The company's platform specializes in ensuring that the data never leaves the host, training on much more data than would be feasible to train on in a centralized setting and generalizing the powerful algorithm to many machine learning settings, enabling developers to build a secure online marketplace for buyers and sellers of big data.

Covariant is a company focused on developing artificial intelligence for robotics. It is creating the Covariant Brain, a universal AI system that enables robots to perceive, reason, and interact with their environments. The company specializes in robotics software that utilizes deep imitation learning, deep reinforcement learning, and meta-learning techniques. This innovative approach allows clients to program robots with ease by using a virtual reality headset to guide them through specific tasks. Covariant aims to streamline the deployment of robotics across various operations, enhancing efficiency and adaptability in industrial settings.

Model Serving is the process of applying trained machine learning models at scale for applications. And BentoML.ai is the SaaS platform providing an end-to-end model serving solution for data science teams, based on our open-source project BentoML. BentoML is an open-source platform for high-performance machine learning model serving. It makes it easy to build production API endpoint for your ML model and supports all major machine learning frameworks, including Tensorflow, Keras, PyTorch, XGBoost, scikit-learn, fastai and more. BentoML comes with a high-performance API model server with adaptive micro-batching support, bringing the advantage of batch processing to online serving workloads. It also provides batch serving, model management and model deployment functionality, which gives ML teams an end-to-end model serving solution, with DevOps best practices baked in.

Covariant is a company focused on developing artificial intelligence for robotics. It is creating the Covariant Brain, a universal AI system that enables robots to perceive, reason, and interact with their environments. The company specializes in robotics software that utilizes deep imitation learning, deep reinforcement learning, and meta-learning techniques. This innovative approach allows clients to program robots with ease by using a virtual reality headset to guide them through specific tasks. Covariant aims to streamline the deployment of robotics across various operations, enhancing efficiency and adaptability in industrial settings.

Vicarious is an artificial intelligence company founded in 2010 by Dr. Dileep George and D. Scott Phoenix, headquartered in San Francisco, California. The company focuses on developing general intelligence for robots by leveraging the computational principles of the human brain. Vicarious aims to tackle significant challenges in the field of AI, fostering a culture that values intellectual curiosity, collaboration, and passion among its team members.

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.

FloydHub is a Platform-as-a-Service designed for training and deploying deep learning models in the cloud. It streamlines the process of initiating machine learning projects, allowing users to start their work in less than 30 seconds. The platform provides configurable CPU and GPU environments tailored for deep learning, and it automatically saves projects and databases through cloud interactions. FloydHub features an integrated web dashboard that enables users to track, monitor, edit, and share project progress, facilitating collaboration across teams. This functionality enhances productivity by supporting performance reviews and project planning, making it easier for users to manage their deep learning initiatives effectively.

Vicarious is an artificial intelligence company founded in 2010 by Dr. Dileep George and D. Scott Phoenix, headquartered in San Francisco, California. The company focuses on developing general intelligence for robots by leveraging the computational principles of the human brain. Vicarious aims to tackle significant challenges in the field of AI, fostering a culture that values intellectual curiosity, collaboration, and passion among its team members.

Kngine, Inc. is an intelligent assistant and answer engine that provides direct answers to user inquiries. Founded in 2008 and headquartered in San Mateo, California, with an engineering office in Cairo, Egypt, Kngine's platform supports developers and businesses in creating smart applications that incorporate factual question-answering and knowledge capabilities. The technology leverages deep learning and knowledge-based approaches to comprehend natural language, allowing it to interpret user queries effectively. Kngine's search engine not only indexes web pages but also extracts factual information to enhance its knowledge graph. Its applications can automate customer service, facilitate voice interfaces, and improve enterprise search, ensuring that users receive meaningful and accurate responses. As of October 2017, Kngine operates as a subsidiary of Samsung Research America, Inc.

MISSION: To help K-12 educators use data to analyze the past, understand the present, and anticipate the future. THE PROBLEM: K-12 districts collect an enormous amount of student data. Educators now recognize that data can inform decisions that improve student outcomes, but few are equipped to make sense of data in a timely manner. Efforts to be “data-driven” require costly software, time-consuming setup, and extensive training. The resulting reports, which are often complex and outdated, fail to provide the information needed for daily decision-making. WHAT IS LEARNSPROUT? LearnSprout is an online data insights service for K-12 educators. It is the only education analytics solution available that uses live data directly from a district’s student information system. LearnSprout combines assessment results, course grades, and attendance to provide actionable insights into student and school performance. Supported by simple setup, and clear, purposeful design, LearnSprout creates an experience that engages and informs.