v2.4 · RTStream is generally available

Data infrastructure for video, built for machines and agents.

One backend that turns files, live streams, cameras, and screen capture into machine-readable context. Search, remember, edit, stream. Across cloud, VPC, and the edge.

Talk to us Build with VideoDB

Building on VideoDB

The problem

Video was built for people to watch.
Now agents need to understand it.

The old stack delivers files to players. VideoDB gives AI applications one backend to see, understand, and act on video in realtime.

The playback stack

Video infrastructure was built to store, encode, and deliver files to people watching on a player.

When teams add AI, they bolt on transcription, VLMs, vector search, metadata stores, ffmpeg jobs, and custom orchestration.

Storage
S3 · GCS · buckets · archives
Encoding + delivery
ffmpeg · transcoding · HLS · CDN · players
Human playback
DRM · thumbnails · analytics · watch pages
AI bolted on
ASR · OCR · VLMs · embeddings · vector DBs
Custom glue
metadata stores · queues · webhooks · brittle pipelines

Built for watching · Extended for AI · Hard to scale

The AI stack

Universal ingestion for every video source. Connect models to build an understanding layer, retrieve context, create memory, and deliver the right video moments instantly.

VideoDB unified stack — one platform for ingestion, processing, editing and delivery

Build for AI processing · Deploy Anywhere · Scale built in

The platform

One platform
for every video intelligence workflow.

VideoDB turns every source into searchable context, memory and action for AI agents.

Read the Platform Spec

Bring in any video source
Feeds, streams, files, recordings, and audio.
Understand every moment
Scenes, speech, people, objects, activities, and events.
Retrieve moments as context
Search video and get playable clips and context back.
Connect to your systems
Send video context through events, webhooks, and agents.
Create new outputs
Generate clips, captions, overlays, and streams.

VideoDB platform — one unified stack illustration

How teams use VideoDB

How organisations are
solving real problems with VideoDB.

LIVE CAMERA

Real-time intelligence across thousands of cameras.

VideoDB ingests live RTSP feeds, runs custom CV models on every frame, and returns playable evidence the moment something matters.

See how teams use it

PROGRAMMABLE MEDIA

Create videos from search results.

Search your video library for scenes in natural language, combine the best moments into new clips with captions, voice, and overlays, all through code.

See how teams use it

AGENTIC PERCEPTION

Realtime vision for AI agents.

Agents are creating content, running marketing, recording meetings, and using browsers for you. VideoDB gives them realtime visual context, so they can see, remember, and act on what happened.

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Training video data — filtering massive video archives for ML training

TRAINING DATA

Turn raw footage into training samples.

Search across massive video archives to find the exact scenes, actions, objects, and edge cases needed for model training. Turn raw footage into clean, usable training samples.

See how teams use it

Why teams pick VideoDB

Built differently
for the AI video era.

VideoDB brings together encoding, indexing, retrieval, editing, and streaming in one purpose-built backend, powered by a media processing engine built over years for AI-native video applications.

10×Lower total costOne bill replaces 10+ vendors

100×Faster video retrieval~120 ms across PB archives

5 minTo productionpip install · POC same day

1 APIFor realtime + filesSame SDK · same mental model

Production

Already live in production.

VideoDB powers real video workloads across healthcare, safety, media, AI agents, and enterprise workflows.

10 TBUploaded every monthAcross cloud, VPC, and edge

40K+Custom indexes built each monthBring your own model

25K+Searches per monthEvery result a playable clip

“Custom search and editing on 2,500 hours of premium content. Pilots that used to take six months ran in six weeks.”

Streaming customer · 2,500 hrs catalog · programmable editing

“1,000+ cameras, custom CV models, sub-second alerts in production. VideoDB collapsed nine months of integration into eight weeks.”

Healthcare customer · 1,000+ feeds · custom CV models

Loved by builders

People who know video,
get why this matters!

Video infrastructure veterans, AI builders, and media technologists are seeing VideoDB as a new backend for searchable, programmable, and agent ready video.

VideoDB team… nice work! Would love to chat!

Tom MasonPrev CTO @ stability.ai

VideoDB is cool!

Johnny BoufarhatFounder of Hopin

For a long time, I have been thinking what you are building needs to exist! glad you are building it!

Oliver CameronCo-Founder & CEO of Odyssey ML

Woah nice! Sounds like an MUCH easier way to build on top of video without needing to transcribe, chunk, embed.

YoheiGeneral Partner at Untapped Capital

I am currently trying to build a market fit for video-based intelligence product for creators. I am trying to partner with some creators in India. I am sure videodb would help me get a lot of things that I anyway wanted - with videodb I won't need to build a lot of this in house and can simply leverage your API.

Vikas YadavFounder at Kubenine

This is a great idea, coming from someone who has been working in video streaming for the past ten years.

Adarsh SolankiFounder at Gridlabs

Ecosystem

Built for modularity.
Works with every modern stack.

Agent runtimes, model labs, camera systems, robotics pipelines, sovereign clouds. VideoDB is the common video data layer underneath. Plug into what you already run, swap pieces as the stack evolves.

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