Startups

SQream focuses on GPU-accelerated data processing within the technology sector, with an emphasis on big data analytics and machine learning. The company provides tools for processing large datasets, including SQL on GPU for complex queries and machine learning model training. It serves sectors such as finance, telecommunications, manufacturing, advertising, retail, and healthcare. It was founded in 2010 and is based in New York, New York.

Kinetica is a company that specializes in real-time databases and analytics, utilizing GPUs and modern many-core CPUs for data processing. The company offers tools for complex analytics, including support for generative AI, spatial intelligence, time-series analysis, graph analytics, and vector storage and retrieval. Kinetica's solutions aim to meet the needs of various industries, with a focus on security and integration. Kinetica was formerly known as GPUdb. It was founded in 2016 and is based in Arlington, Virginia.

Hetero DB specializes in database acceleration through a Postgre structured query language (SQL) extension module. It focuses on enhancing database systems with graphics processing unit (GPU) and nonvolatile memory express-solid-state drives (NVME-SSD) technologies. The company offers solutions for processing large-scale data, leveraging parallel computing to optimize searches, aggregations, and transformations. Hetero DB's products aim to maximize hardware capabilities for data handling and real-time analytics in various sectors. It was founded in 2017 and is based in Shinagawa-Ku, Japan.

HEAVY.AI specializes in advanced analytics and location intelligence within various business sectors. Its main offerings include a platform that enables real-time, interactive visualizations and analysis of large geospatial and time-series datasets, leveraging modern GPU and CPU hardware for accelerated processing. HEAVY.AI primarily serves sectors such as telecommunications, the public sector, energy, and utilities. It was founded in 2013 and is based in San Francisco, California.

Elastic provides search and analytics, offering products across various sectors, including security and observability. The company's main products include a search AI platform that provides data insights, AI-driven security analytics, and tools for observability. Elastic's products aim to meet the needs of businesses seeking search capabilities and data analytics. It was founded in 2012 and is based in San Francisco, California.

Redis is involved in data processing within the data platform sector. The company provides in-memory databases for caching and streaming, along with managed and self-managed software solutions. Redis serves sectors that require fast data access and processing, including financial services, gaming, healthcare, and retail. Redis was formerly known as Redis Labs. It was founded in 2011 and is based in San Francisco, California.

MongoDB (NASDAQ : MDB) operates as a developer data platform. It focuses on providing a suite of cloud database services for a variety of modern applications. The company offers products that enable multi-cloud database deployment, search experience delivery, and the design of intelligent applications with GenAI, among other services. It primarily caters to industries such as financial services, telecommunications, healthcare, retail, the public sector, and manufacturing. MongoDB was formerly known as 10gen. It was founded in 2007 and is based in New York, New York.

OpenSearch is a community-driven, open-source search and analytics suite. It offers the ability to explore, enrich, and visualize data with built-in performance, developer-friendly tools, and integrations for machine learning, data processing, and more. It is based in Seattle, Washington.

Vald is a search engine. It specializes in nearest-neighbor searches. The company offers a cloud-native solution with automatic vector indexing, index backup, and horizontal scaling capabilities, designed to handle feature vectors of data. Vald is based in Tokyo, Japan.

Marqo specializes in storing and querying unstructured data such as text and images. The company offers services that enable fine-tuning of embedding models with interaction data to enhance search relevance and performance and provides a developer-friendly application programming interface (API) for easy integration. It primarily serves sectors that require advanced search capabilities, such as the e-commerce industry and tech companies with a focus on AI and machine learning. The company was founded in 2022 and is based in San Francisco, California.

LanceDB operates as a serverless vector database for artificial intelligence (AI) applications. The company builds applications for generative artificial intelligence (AI), recsys, search engines, content moderation, and more. It was founded in 2022 and is based in San Francisco, California.

Vespa specializes in data processing and search solutions within the AI and big data sectors. The company offers an open-source search engine and vector database that enables querying, organizing, and inferring over large-scale structured, text, and vector data with low latency. Vespa primarily serves sectors that require scalable search solutions, personalized recommendation systems, and semi-structured data navigation, such as e-commerce and online services. It was founded in 2023 and is based in Trondheim, Norway.