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§ Private Profile · Los Gatos, CA, USA
Specialized database platform for AI and machine learning teams, managing multimodal data like images, videos, and embeddings.
Based in Los Gatos, California, ApertureData develops a specialized database platform designed to manage, search, and preprocess large-scale multimodal artificial intelligence data. The company provides business-to-business enterprise software through both self-hosted database deployments and a fully managed cloud service, enabling machine learning teams to streamline complex data pipelines involving images, videos, documents, and embeddings. The core software technology originally stems from advanced visual data management research conducted at Intel Labs. Today, the enterprise generates revenue through subscription fees across commercial sectors such as retail, healthcare, e-commerce, and smart agriculture, and the company has secured $8.25 million in total seed funding to date. This recent financial backing includes direct equity investments from venture capital firms such as TQ Ventures, Westwave Capital, and Interwoven Ventures. ApertureData was officially founded in 2018 by Vishakha Gupta and Luis Remis.
ApertureData has raised $8.0M across 2 funding rounds.
ApertureData has raised $8.0M in total across 2 funding rounds.
ApertureData has raised $8.0M in total across 2 funding rounds.
ApertureData's investors include TQ Ventures, Delta Blockchain Fund, Andrew Bialecki, Alpine Meridien, Colle Capital, First Round Capital, First Row Partners, First Star Ventures, F-Prime Capital Partners, iNovia Capital, New Ventures Funds, Preston-Werner Ventures.
ApertureData has raised $8.0M across 2 funding rounds. Most recently, it raised $5.0M Seed in October 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 1, 2024 | $5M Seed | TQ Ventures | Delta Blockchain Fund, Andrew Bialecki | Announced |
| Aug 1, 2021 | $3M Seed | — | Alpine Meridien, Colle Capital, First Round Capital, First ROW Partners, First Star Ventures, F Prime Capital, Inovia Capital, NEW Ventures Funds, Preston Werner Ventures, TQ Ventures, Trajectory Ventures, Webb Investment Network, Zelkova Ventures, Rohini Pandhi | Announced |
ApertureData is a technology company founded in 2018 and headquartered in Los Gatos, California (with addresses listed in Mountain View and Cupertino), specializing in ApertureDB, a cloud-agnostic database for managing large-scale multimodal data including images, videos, documents, and text.[1][2][3] It serves AI/ML teams in industries like smart retail, e-commerce, medical imaging, smart agriculture, and visual inspection by solving data management challenges for petabytes of multimodal datasets, enabling efficient indexing, vector search, knowledge graph filtering, and dataset preparation for generative AI, RAG workflows, and agents.[1][3][4] The company has raised $11.5M in funding (including an $8.5M round), generates around $5M in revenue, and employs under 25 people, delivering benefits like 2-3x faster response times, 2.5x vector search improvements (e.g., for Badger Technologies), and 6-9 months faster AI deployment.[1][2][3]
ApertureData emerged in 2018 to address the growing explosion of petabytes of multimodal data across industries, where traditional databases failed to handle the unique characteristics of images, videos, documents, and associated metadata for ML applications.[1][4] The company recognized that ML efforts were hindered by inadequate data management solutions, leading to the development of ApertureDB as a purpose-built platform for data science and AI workflows.[4] Early traction came from its focus on big visual data, vector databases, embeddings generation, and knowledge graphs, with key milestones including $11.5M in funding across two rounds and real-world performance boosts like 10x speed for multimodal data and 2.5x vector similarity search gains for retail automation leader Badger Technologies.[1][2][3]
ApertureData rides the multimodal AI boom, where generative AI, agents, and RAG demand unified handling of diverse data types amid exploding petabyte-scale visual datasets from retail, e-commerce, and medical fields.[1][3][4][5] Timing is ideal as companies shift from fragmented tools to purpose-built infrastructure, bridging gaps in vector databases and knowledge graphs to enable faster innovation over infrastructure wrangling.[5] Market forces like rising ML adoption and data complexity favor it, powering 2-10x performance gains that streamline AI pipelines and reduce costs, while influencing the ecosystem by setting standards for scalable, metadata-rich multimodal management.[2][3]
ApertureData is poised to expand as multimodal AI matures, with deeper integrations into GenAI frameworks, broader industry adoption (e.g., agriculture, inspection), and potential Series A scaling post-$11.5M funding.[1][2] Trends like agentic AI and real-time visual analytics will amplify its edge in speed and unification, evolving its role from data manager to core enabler of enterprise AI deployment. As infrastructure bottlenecks fade, expect ApertureData to capture more of the vector database market, delivering compounding value in an AI-driven world—transforming raw multimodal chaos into instant insights.