Managing Multimodal Data For AI Is Hard
ApertureDB Simplifies It

ApertureDB unifies multimodal data, knowledge graphs, and vector search into a single database solution for rapid AI deployments at enterprise scale.
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The ApertureDB Difference

A purpose-built database for multimodal AI that streamlines data management—so your team can focus on  innovation, not infrastructure.

Purpose Built For Multimodal Datasets

Manage text, documents, images, videos natively; augment on-the-fly to prepare datasets for machine learning, at scale

High-Performance Vector Store

Efficiently index, search, and classify large collections of high-dimensional, multimodal embeddings with customizable engines and distance metrics.

Advanced Graph Filtering

Easily add and update metadata to build your knowledge graph and apply advanced graph filtering. No messy schema updates as your data evolves.

One Database, Many Applications

Search & Retrieval

Transform your search experience with vector and knowledge graph technologies. Find relevant information across billions of objects instantly, no matter the data type.

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Build Modern Gen AI Apps

Build accurate and secure generative AI applications, Agents & RAG workflows grounded in your own data—Achieve 2-3x faster context-aware response times.

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Training & Classification

Centralize AI/ML data management. Simplify dataset preparation, integrate with frameworks, and cut infrastructure costs.

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Visual Debugging

Enhance visual debugging with a unified database for quick detection of anomalies, errors, and incorrect relationships—Streamlline AI workflows and boost performance.

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Build Smarter With ApertureDB

ApertureDB removes the complexities of multimodal data management, enabling AI application deployment 6-9 months faster.

2-4X Faster Vector Search
Save 6-9 months on infrastructure Setup
Built To Scale: 1.3B+ Metadata Entries
Cost-performance optimization
Scalable Architecture, Cloud Agnostic

Use ApertureDB With Your AI Tech Stack

Loved By AI Teams, Trusted By Enterprises

Case Studies
How Badger Technologies Solves "Wrong Product" Placement Challenges with ApertureDB at Scale

Badger Technologies, a retail automation company, increases vector similarity search performance by 2.5x on their embedding library with ApertureDB—Find out how!

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Hareesh Kolluru
Director of AI/ML, Zippin
“When you're training models on hundreds of thousands of labeled videos, the value of a database like ApertureDB becomes clear.
It got us to the finish line twice as fast, using half the resources."
Namrata M Banerjee
Director of VentureBridge Accelerator, CMU Swartz Center
Image-based data has seen unprecedented growth in recent years. The storing & searching of these visual datasets present new challenges. We are excited by this team’s focus and experience in this space.
Andrea Belz
Division Director,
Division of Industrial Innovation and Partnerships, NSF
“NSF is proud to support the technology of the future by thinking beyond incremental developments and funding the most creative, impactful ideas across all markets and areas of science and engineering"
Hareesh Kolluru
Director of AI/ML, Zippin
“When you're training models on hundreds of thousands of labeled videos, the value of a database like ApertureDB becomes clear.
It got us to the finish line twice as fast, using half the resources."
Namrata M Banerjee
Director of VentureBridge Accelerator, CMU Swartz Center
Image-based data has seen unprecedented growth in recent years. The storing & searching of these visual datasets present new challenges. We are excited by this team’s focus and experience in this space.
Andrea Belz
Division Director,  Division of Industrial Innovation and Partnerships, NSF
“NSF is proud to support the technology of the future by thinking beyond incremental developments and funding the most creative, impactful ideas across all markets and areas of science and engineering"
Hareesh Kolluru
Director of AI/ML
“When you're training models on hundreds of thousands of labeled videos, the value of a database like ApertureDB becomes clear.
It got us to the finish line twice as fast, using half the resources."
Namrata M Banerjee
Director of VentureBridge Accelerator at CMU Swartz Center
Image-based data has seen unprecedented growth in recent years. The storing & searching of these visual datasets present new challenges. We are excited by this team’s focus and experience in this space.
Andrea Belz
Division Director of the Division of Industrial Innovation and Partnerships at NSF
“NSF is proud to support the technology of the future by thinking beyond incremental developments and funding the most creative, impactful ideas across all markets and areas of science and engineering"

Ready to Accelerate your AI Workflows?

Unlock 10X productivity and simplify multimodal AI data management with ApertureDB—try it for free or schedule a demo today!

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