A purpose-built database for multimodal AI that streamlines data management—so your team can focus on innovation, not infrastructure.
Manage text, documents, images, videos natively; augment on-the-fly to prepare datasets for machine learning, at scale
Efficiently index, search, and classify large collections of high-dimensional, multimodal embeddings with customizable engines and distance metrics.
Easily add and update metadata to build your knowledge graph and apply advanced graph filtering. No messy schema updates as your data evolves.
Transform your search experience with vector and knowledge graph technologies. Find relevant information across billions of objects instantly, no matter the data type.
Build accurate and secure generative AI applications, Agents & RAG workflows grounded in your own data—Achieve 2-3x faster context-aware response times.
Centralize AI/ML data management. Simplify dataset preparation, integrate with frameworks, and cut infrastructure costs.
Enhance visual debugging with a unified database for quick detection of anomalies, errors, and incorrect relationships—Streamlline AI workflows and boost performance.
ApertureDB removes the complexities of multimodal data management, enabling AI application deployment 6-9 months faster.
Badger Technologies, a retail automation company, increases vector similarity search performance by 2.5x on their embedding library with ApertureDB—Find out how!
Unlock 10X productivity and simplify multimodal AI data management with ApertureDB—try it for free or schedule a demo today!
