Skip to main content
The VideoDB Platform

One backend. Any source.

Six primitives: ingest, index, remember, retrieve, edit, stream. Across files, live streams, cameras, and screens.

Try VideoDB Read the docs
Fully Managed Cross-Cloud Real-time + Batch BYO Models Sovereign-Ready SOC 2 Type II
Six primitives

VideoDB turns video infrastructure
into one system.

Static files and live feeds enter one pipeline. Index layers compound into a queryable memory. Retrieval surfaces the right moments. A new stream comes out the other side, on demand.

How VideoDB works

One abstraction for the full video lifecycle.

Ingest once, index deeply, retrieve exact moments, and stream results without stitching together storage, transcoding, search, and delivery services.

You ship indexes.

The platform takes care of compute and storage: chunking, replication, encoding, and GPU scheduling. Your team ships indexes, not infrastructure.

Modular.

Choose the components you want and plug them into your system. Add retrieval, memory, clips, alerts, or actions piece by piece, or adopt the whole stack.

Information access is managed for AI.

Queries run through indexes scoped by tenant, workload, or domain. Results route automatically: no federation, no glue, no leaks.

Built-in admin console.

Define who can read what, where keys live, and what data can leave. One surface, no per-endpoint access logic.

Why teams choose 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
[ MP4 STACK ]

Files on object store, exposed to everyone, compressed formats impossible to index, no retrieval of video bits.

  • Files in S3 / GCS. You manage chunking, replication, lifecycle.Storage · manual
  • Re-encode on every edit. ffmpeg pipelines to run.Edits · ffmpeg
  • Vector DB + Postgres + metadata store. Three sources of truth.Indexes · 3+ systems
  • Retrieval is a cross-system join. Custom code on the hot path.Query · ~12 s p95
  • HLS adapter bolted on as a separate downstream service.Output · adapter
[ VIDEODB ABSTRACTION ]

Files behind the SDK. Indexes run the retrieval.
Every output is a stream URL.

  • Storage managed by the platform. Content-addressed and deduplicated.Storage · 0 ops
  • Instant HLS links for chunk-level slices. No re-encode.Edits · 0 re-encode
  • Indexes live with the media. One source of truth.Indexes · 1 path
  • Indexes power retrieval. Composed, filtered, and scoped at query time.Query · ~120 ms p95
  • HLS is native. Every output is a stream URL.Output · native
Technical solutions

Reference solutions. Built on the same six primitives.

Two production solutions teams actually ship on VideoDB. Each includes code, architecture, and dataflow.

Solution · 01

Personalized streaming

Pull the right moments from memory, compose them with branding and subtitles, and ship a fresh HLS feed per user. Built on retrieve + edit + stream.

See architecture and code
Solution · 02

Realtime alert

Attach a camera, define what counts as an event in natural language, and get sub-second alerts with the matching clip attached. Built on stream + index + retrieve.

See architecture and code
"Composable indexes are the right abstraction for video AI. VideoDB is the first team I've seen build the data-infrastructure layer instead of yet another model wrapper."
Mira Sundaram Director of Video AI · Major OTT
"We replaced four pipelines with one platform and shipped a feature in a sprint that was on our roadmap for two quarters. The team owns the indexes, and that's the unlock."
Daniel Park VP Engineering · AI Infra Startup
"What sold us was the search engine on top: ranking, recall, sub-second latency. Most products give you embeddings and call it search. VideoDB actually retrieves."
Priya Anand Head of Search · Media Group
Deployment

One SDK.
Managed or in your cloud.

Start managed, move to your own cloud later. No code changes.

[FULLY MANAGED]Fastest path

Run on VideoDB Cloud.

We manage the compute, storage, and scale. You build with the SDK.

Build with VideoDB

Best for Media Teams, Agentic Startups, ML Product Teams.

[BRING YOUR OWN CLOUD]Sovereign · regulated

Run inside your AWS, GCP, or Azure.

Run it in your cloud. Keep videos in your storage. Use the same SDK.

Talk to us

Best for Healthcare, Fintech, Defense, Telco, Regulated EU Buyers.

People who back us

Investors and advisors
who've built this before.

Search engineers from Apple, computer vision investors from Voxel AI, veteran AI infrastructure VCs. The people guiding VideoDB have shipped the kind of system we're building.

Kranti Parisa

Advisor · Search

Former Search Lead at Apple. Has built search systems at planetary scale. The engineering bar VideoDB measures against.

Search infrastructure Apple

Vaibhav Viswanathan

Computer Vision Lead, Voxel AI · Investor

Computer Vision Lead at Voxel AI and investor at VideoDB. Deep operating experience across real-time perception and large-scale video pipelines.

Computer vision Voxel AI

Robin Vasan

Investor · AI Infrastructure

Veteran AI infrastructure investor. Three decades of backing developer platforms and data systems, from open source to enterprise-scale infra.

Developer platforms AI infra
Build on it

Video Intelligence that will transform healthcare, security and media is here!

Start with the SDK, or talk to us about an enterprise architecture review.

Start building Talk to us
Machine