
ApertureData
Founded Year
2018Stage
Seed VC - II | AliveTotal Raised
$11.48MLast Raised
$8.25M | 1 yr agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+177 points in the past 30 days
About ApertureData
ApertureData operates within the data management infrastructure domains. The company's offerings include a database for multimodal AI that integrates vector search and knowledge graph capabilities for AI application development and data management. ApertureData serves sectors that require AI applications, including generative AI, recommendation systems, and visual data analytics. It was founded in 2018 and is based in Los Gatos, California.
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ApertureData's Products & Differentiators
ApertureDB
A purpose-built database that combines the power of a vector database, multimodal data management, and knowledge graphs into a unified interface. Deploy AI applications 2.5x faster at scale.
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Expert Collections containing ApertureData
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
ApertureData is included in 3 Expert Collections, including Targeted Marketing Tech.
Targeted Marketing Tech
453 items
This Collection includes companies building technology that enables marketing teams to identify, reach, and engage with consumers seamlessly across channels.
Generative AI
2,841 items
Companies working on generative AI applications and infrastructure.
Artificial Intelligence
10,402 items
Latest ApertureData News
Oct 16, 2024
October 16, 2024 ApertureData , a Mountain View, CA-based company offering a purpose-built database that provides teams with a unified solution for managing and accessing complex multimodal datasets, raised $8.25M in Seed funding. The round was led by TQ Ventures with participation from Westwave Capital, Interwoven Ventures, and a group of angel investors. The company intends to use the funds to scale its production deployments, enhance user experience through improved documentation and sandbox environments, focus on ecosystem integrations, and expand its sales and marketing efforts. Founded by Vishakha Gupta (CEO) and (CTO) Luis Remis, ApertureData provides a signature product called ApertureDB that simplifies the complexities of handling multimodal data like images, videos, embeddings, and related metadata. By using a graph database to combine keyword and label search with vector search and multimodal data management, it offers a single data layer for multimodal AI needs. The company has already secured initial deployments with select Fortune 100 customers, including a retailer in home furnishings, a large manufacturer, some Biotech, retail, and emerging Generative AI startups.
ApertureData Frequently Asked Questions (FAQ)
When was ApertureData founded?
ApertureData was founded in 2018.
Where is ApertureData's headquarters?
ApertureData's headquarters is located at 1484 Pollard Road, Los Gatos.
What is ApertureData's latest funding round?
ApertureData's latest funding round is Seed VC - II.
How much did ApertureData raise?
ApertureData raised a total of $11.48M.
Who are the investors of ApertureData?
Investors of ApertureData include Interwoven Ventures, WestWave Capital, TQ Ventures, Plug and Play, Work-Bench and 9 more.
Who are ApertureData's competitors?
Competitors of ApertureData include LanceDB, DataStax, Neo4j, Verta, Vespa and 7 more.
What products does ApertureData offer?
ApertureData's products include ApertureDB.
Who are ApertureData's customers?
Customers of ApertureData include Badger Technologies.
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Compare ApertureData to Competitors

Weaviate is a company that develops artificial intelligence (AI)-native databases within the technology sector. The company provides a cloud-native, open-source vector database to support AI applications. Weaviate's offerings include vector similarity search, hybrid search, and tools for retrieval-augmented generation and feedback loops. Weaviate was formerly known as SeMi Technologies. It was founded in 2019 and is based in Amsterdam, Netherlands.

Pinecone specializes in vector databases for artificial intelligence applications within the technology sector. The company offers a serverless vector database that enables low-latency search and management of vector embeddings for a variety of AI-driven applications. Pinecone's solutions cater to businesses that require scalable and efficient data retrieval capabilities for applications such as recommendation systems, anomaly detection, and semantic search. Pinecone was formerly known as HyperCube. It was founded in 2019 and is based in New York, New York.

Qdrant focuses on providing vector similarity search technology, operating in the artificial intelligence and database sectors. The company offers a vector database and vector search engine, which deploys as an API service to provide a search for the nearest high-dimensional vectors. Its technology allows embeddings or neural network encoders to be turned into applications for matching, searching, recommending, and more. Qdrant primarily serves the artificial intelligence applications industry. It was founded in 2021 and is based in Berlin, Germany.
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.
Hyperspace is a technology company that operates in the cloud-native database and search technology sectors. The company offers an elastic compatible search database that integrates vector and lexical search capabilities. Hyperspace serves sectors that require search solutions, such as e-commerce, fraud detection, and recommendation systems. It was founded in 2021 and is based in Tel Aviv, Israel.
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.
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