Carbide Ventures

Developer of a distributed stream processing platform designed for data management. The company's platform collects, processes, and routes all data, with security and performance, and also offers operations support systems for avoiding vendor lock-in, enabling clients to deploy, monitor, and scale open-source data collection in their infrastructure.

Developer of a self-learning artificial intelligence-based decision engine designed to make promotions profitable. The company's engine allows users to divide customers into different segments and find the suitable offer for each segment using machine learning, enabling business owners to send personalized offers to customers and continuously learn from customers' responses.

Treasure Data, Inc. is an enterprise customer data platform that provides a fully-managed cloud service for big data collection, storage, and analysis. Founded in 2011 and headquartered in Mountain View, California, with additional offices in Japan and Korea, the company enables businesses to aggregate and analyze vast amounts of data from diverse sources, including web, application, mobile, and sensor data. Treasure Data's platform simplifies data management by breaking down silos and offering tools for data pipeline monitoring, anomaly detection, and encryption. The company serves a wide range of industries, including digital gaming, advertising technology, media, retail, and telecommunications, and has more than 250 corporate clients, including notable firms such as Subaru and Warner Bros. By helping organizations harness data effectively, Treasure Data empowers decision-makers to enhance customer experiences and gain competitive advantages in the market.

Dyad AI specializes in developing artificial intelligence tools tailored for the healthcare sector. The company leverages graph machine learning and knowledge graphs to create integrated applications that enhance collaboration, visibility, and data trustworthiness. Its AI-powered platform serves as a universal translator, providing a curated knowledge base linked to local clinical operations. This approach helps reduce waste and lower costs by anticipating the needs of healthcare facilities, thereby enabling professionals and organizations to improve performance and meet government standards. Dyad's solutions facilitate the standardization and contextualization of healthcare operations data in near real-time, supporting value-based care initiatives for both payers and providers.