ApertureDB

The vector graph database for multimodal AI

35X
Faster

In creating datasets compared to manual integrations

63%
Reduction

In network transfer of large visual data

1.3+
Billion

Metadata entities with as many relationships

ApertureDB: Feature Overview

Unified Multimodal Data Backend

Complex Metadata Search

Vector Similarity Search

Data Curation

Dataset Management

Easy Data Preparation for ML

Visualize complex data

Annotation Management

Seamless ML Integrations

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The Unified Backend Powering your Entire AI/ML Pipeline

Built for multimodal AI applications

ApertureDB unifies knowledge graphs, multimodal data, and vector search in one powerful database

Knowledge graph of user metadata and annotations powers advance search features, delivering precise and context-rich results.
Native support for multimodal data, images, and video pre-processing and augmentation.
Built in vector similarity search and classification with native support for k-nearest neighbor computation.
Unified API allows AI/ML applications to manage and query all supported data types from one solution.

Build RAG AI apps faster

Easily integrate RAG workflows with minimal effort, quickly transforming AI models into intelligent content-aware systems.

Store and retrieve high-dimensional embeddings that capture semantic meaning with high precision.
Native support for multimodal data, with in-built pre-processing and augmentation of images and videos.
Tune models in hours not days. Increase AI model accuracy with real-time, context-driven data.
Manage large datasets, handle increasing multimodal data volumes and maintain high-speed queries at scale.

Enhance data engineering agility

Empower AI/ML teams to quickly iterate, innovate and deliver high-quality solutions.

Fast, high-performance data loaders rapidly ingest massive datasets, including cloud buckets.
Versatile API layers (web, object-based, JSON-based) empower users of all skill levels.
Robust REST API seamlessly connects labeling and other web front-ends.
Integrate Python and C++ clients with ease—optimize existing workflows or build new pipelines.

Seamless deployment—tailored to every use case

Tailored to meet the needs of any environment, ApertureDB supports deployment via Cloud, Virtual Private Cloud, Docker Containers, Google Cloud Platform, AWS or On-premises.

Easily scale and optimize your AI/ML workflows, adapt to any multimodal data management infrastructure, and maintain high performance across diverse use cases.

Enterprise-grade security and governance

ApertureDB unifies multimodal data management  and ensures end-to-end integrity and traceability.

Authentication and SSL encrypted communication between client/server.
Role based access control and user management.
Monitor status and performance metrics with our API, seamlessly integrated with Prometheus and Grafana.
Streamline your AI workflows with audit logging and optimized software deployments and updates.

No need to reinvent your AI tech stack

Whether its AI/ML frameworks & tools, open source libraries, language models, or storage services, ApertureDB seamlessly integrates with your existing AI tech stack for easy multimodal data management.

Ready To Accelerate Your AI Projects?

Save 6-9 months on infrastructure setup and increase your AI team’s efficiency 10X with ApertureDB.

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