Samsung NEXT Ventures

Activeloop is a technology company that specializes in providing a distributed cloud computing platform designed for building and scaling data pipelines for machine learning applications. Its flagship product, Deep Lake, is a database optimized for artificial intelligence, particularly for deep learning and large language model (LLM) applications. Deep Lake offers a unique storage format that accommodates various data types, including embeddings, audio, text, videos, images, and annotations. The platform features capabilities for querying, vector search, data streaming during model training, and comprehensive data versioning and lineage management. Deep Lake is designed to handle data of any size in a serverless environment, facilitating seamless integration with popular tools such as LangChain and Weights & Biases. The platform is utilized by notable organizations, including Bayer Radiology and Matterport. Founded by a team with backgrounds from prestigious institutions such as Princeton and Stanford, Activeloop has garnered support from Y Combinator, positioning itself as a key player in the machine learning and AI data management landscape.

AI21 Labs Ltd., established in 2017 and headquartered in Tel Aviv-Yafo, Israel, specializes in developing artificial intelligence systems. The company focuses on creating generative AI and large language models, along with tools designed to understand and generate natural language effectively. Their primary product is an AI-based writing companion that comprehends context and meaning, transforming how users read and write by providing summaries and rewriting text for clarity. This empowers users to analyze and visualize abstract knowledge structures more efficiently.

MosaicML is a company focused on creating an efficient infrastructure for training large language models and improving the overall efficiency of neural networks. It develops software and artificial intelligence training algorithms that enhance the training process by utilizing algorithmic techniques such as sparsity and network pruning. These innovations allow users to effectively and securely train large-scale AI models on their proprietary data, while also optimizing for speed, quality, and cost. MosaicML aims to streamline the machine learning model recomposition process, making it easier for organizations to harness the power of AI in their operations.

HelperAI lets enterprises build a 24/7 AI workforce, automating routine tasks, and breaking language barriers for global expansion. With seamless integration with your business SOPs, CRM systems, and popular tools, our AI agents redefine customer support, sales, and marketing functions. Experience unprecedented efficiency with HelperAI.

Verbit is an artificial intelligence company founded in 2017 and headquartered in New York. It specializes in transcription and captioning solutions that leverage automated speech recognition technology. By transforming both live and recorded audio and video into text, Verbit serves various industries including education, legal, media, and enterprise. Its offerings extend beyond traditional transcription to include audio description, translation, dubbing, and note-taking services, enhancing the accessibility and usability of spoken content. Additionally, Verbit develops generative AI applications aimed at unlocking the value of audio and video files, making information more searchable and actionable for organizations.

Unbabel Inc., established in 2013, specializes in online translation services. Headquartered in San Francisco with additional offices in New York, Pittsburgh, and Lisbon, the company combines machine translation with human editing to facilitate global business communication. Unbabel translates user-generated content like emails, wikis, and forums, offering solutions for customer service, tickets, and chat. Its services enable enterprises to serve customers in their native languages, bridging language barriers and fostering multilingual understanding.

Unbabel Inc., established in 2013, specializes in online translation services. Headquartered in San Francisco with additional offices in New York, Pittsburgh, and Lisbon, the company combines machine translation with human editing to facilitate global business communication. Unbabel translates user-generated content like emails, wikis, and forums, offering solutions for customer service, tickets, and chat. Its services enable enterprises to serve customers in their native languages, bridging language barriers and fostering multilingual understanding.

Kngine, Inc. is an intelligent assistant and answer engine that provides users with direct answers to their inquiries. Founded in 2008 and headquartered in San Mateo, California, with an engineering office in Cairo, Egypt, Kngine is designed for developers and businesses to create smart applications. Its platform incorporates advanced natural language understanding and utilizes deep learning, big data, and knowledge-based approaches to deliver accurate responses. Kngine’s technology extracts factual information from web content to enhance its knowledge graph, allowing it to comprehend and process user questions effectively. The platform is capable of automating customer service, powering voice interfaces, and enhancing enterprise search functionality, ensuring that users receive meaningful results. Kngine also offers a beta application for iOS and Android devices, further extending its accessibility. As of 2017, Kngine operates as a subsidiary of Samsung Research America, Inc.

Traceloop is a technology company that specializes in monitoring the performance and quality of large language model (LLM) applications in production environments. The company offers a platform that enables users to receive alerts, insights, and gradual rollout capabilities, allowing for confident deployment of changes to prompts and model configurations. In addition, Traceloop provides tools for generating, running, and maintaining end-to-end tests for backend systems. Its platform automatically generates tests and facilitates integration, canary monitoring, and alerts, helping clients to assess the functionality of microservices in real-time. This comprehensive approach enables organizations to enhance the reliability of their systems and ensure optimal performance of their applications.