Mediaflux eliminates the layers that slow AI down. With native support for vector embeddings, semantic search, and schema-less metadata, it transforms text, images, video, time series, and structured datasets into indexed, searchable, and AI-compatible inputs—without moving or duplicating data.
Perform similarity-based search at massive scale with millisecond response times. No external vector database needed.
Build retrieval-augmented generation pipelines with structured, in-place context.
Use any AI model—LLM, diffusion, or custom—without retraining or reformatting.
Data stays in place. Metadata and embeddings are indexed directly from source.
Index and search across text, images, genomics, video, time series, and more.
Prepare for AI agents to securely operate on your data fabric via Model Context Protocol (MCP).
Mediaflux delivers more than just AI readiness—it creates operational clarity and cost efficiency in data-intensive environments.
Train with richer, more diverse data across modalities.
Replace fragmented pipelines with one unified platform.
Engineered for petabyte-class performance across cloud, edge, and multi-site deployments.
Manage metadata, vectors, and raw assets through a single interface.
From personalised medicine to predictive maintenance, Mediaflux supports organisations that rely on trusted, high‑performance data for AI.
Accelerate discovery with multimodal datasets and fast semantic search.
Join the agencies that trust Mediaflux to streamline digital evidence workflows, enhance security, and maintain case integrity.