A visual memory for machines

Machines That Remember Everything They See.

Capabilities
(01)
Conversational Video Chat
Open
Introduction

At the intersection of video, language, and memory — a model that holds the whole story, not just the last frame.

A new layer of perception

Galvision builds a visual memory layer for machines — a foundation that lets software see, remember, and understand video at a scale no general-purpose model was built to hold.

Where most artificial intelligence forgets each clip the moment it ends, our large visual memory model retains context across millions of hours of footage — so every frame stays connected to everything that came before it. It is the difference between a system that watches video and one that genuinely remembers it.

There is more in every frame

than the eye can ever hold

The Model

A Memory That Holds
the Whole Story.

See what it can do

A single persistent representation spans an entire archive, so a question asked today can reach a moment recorded months ago.

At the core of Galvision is a large visual memory model: a system designed from the ground up to retain context across millions of hours of video. Rather than treating each clip as an isolated input, it carries a continuous, structured memory of what it has already seen.

General-purpose AI models were not built for this. They reason brilliantly over a paragraph or a single image, but they lack comparable long-form video context — the moment the footage runs long, the thread is lost. Galvision keeps the thread, indefinitely.

That persistence is what turns raw recordings into something a machine can actually understand: events connected across time, identities that hold from one scene to the next, and meaning that accumulates instead of resetting frame by frame.

Millions
of hours in context
Frame-exact
recall & alignment

Ask It, and You'll See It.

Natural language is the interface. Talk to your footage in plain words — through end-user tools or directly through the developer API — and it answers in clips, text, and edits.

ModeWhat it does
01
Conversational Video Chat
Hold a natural conversation with your footage. Ask what happened, who was there, and what it means — and follow up exactly as you would with a person who watched every minute.
02
Clip Search
Describe a moment in plain language and jump straight to every clip that matches across the archive — no tags, no scrubbing, no remembering where you filed it.
03
Transcription
Turn speech on screen into accurate, searchable text aligned to the exact frame it was spoken, so words and footage stay locked together.
04
Natural-Language Editing
Cut, trim, and assemble long footage from a written prompt. Describe the edit you want and let the model work the timeline for you.
05
Event Question & Answer
Locate and count specific events, then get a plain-language description of everything on screen — from how many people entered a room to what each of them did.
06
Marketing Video Tool
Shape raw footage into finished, on-brand marketing video — a dedicated tool that finds the moments worth keeping and builds them into something ready to publish.

Research

Studied in the open

Galvision maintains an active research effort on the hard problems beneath long-form video understanding — and runs a fellowship that brings outside researchers into the work.

About the fellowship
The papers

Our research advances how machines compress, caption, edit, and identify across millions of hours of video — the building blocks of persistent visual memory.

(01)

Token Compression

Memory-augmented reinforcement learning for token compression — keeping video understanding efficient as context stretches across millions of hours.

(02)

Captioning & Benchmarks

Detailed captioning models and benchmarks built for the messiness of real, user-generated video — describing what actually happens, not what's easy to label.

(03)

Agentic Editing

Agentic systems that edit long-form narrative video directly from natural-language prompts — turning a written brief into a finished cut.

(04)

Speaker Identity

Multimodal speaker identification that fuses audio, vision, and persistent identity memory — knowing who is speaking, and remembering them across the archive.

Foundational infrastructure

Persistent visual memory is the layer general-purpose AI was missing. Galvision builds it as foundational infrastructure.

For everyone

End-user tools

Anyone on your team can talk to their video — search it, summarize it, transcribe it, and edit it — without writing a line of code. The same visual memory that powers the model is one conversation away.

For builders

An API for developers

Put persistent visual memory inside your own product through a developer API, and extend it onto dedicated AI hardware built for video. When an off-the-shelf model isn't enough, Galvision customizes the layer for specific deployments.

Always remembering

Right now, across millions of hours of footage, every frame is being watched, remembered, and made answerable. This is just the beginning of machine memory.

Bring persistent visual memory to your own video.

See what persistent visual memory can do for your footage.

Get in touch
Tools

Talk to Your Footage.

Search it, summarize it, transcribe it, edit it — in the tools your team already opens every day, and on dedicated hardware built for video.

Industries

Built for the
Work You Do.

The same visual memory adapts to wildly different footage — from a camera in a warehouse to a feed on a robot — and to the questions each field needs answered.

01Security & Safety
02Media & Production
03Video Marketing
04Sports
05Robotics

And when an off-the-shelf model isn't enough, Galvision customizes the visual memory layer for specific deployments — tuned to your cameras, your environment, and the events that matter to you.

Talk to us about your use case

Security & Safety

Real-time understanding for every camera you run

Real-Time Threat Detection

Identifies and describes suspicious behavior as it unfolds — and issues a live alert the moment it does, with words a human can act on, not just a motion blip.

Cross-Camera Re-Identification

Tracks the same individual across many cameras, even when their appearance changes — following a person through a building instead of losing them at every doorway.

Slip & Fall Detection

Automatically flags slips and falls and attaches the supporting video evidence — so an incident is documented the instant it happens, not hours later.

Staff Task Monitoring

Confirms routine tasks like cleaning and restocking are actually getting done — turning "we think it's covered" into a verifiable record on every shift.

Natural-Language Archive Search

Searches across recorded video in plain language to surface past incidents in seconds — describe what you're looking for and find it without scrubbing days of tape.

Customer-Service Monitoring

Watches service interactions to cut wait times and the customers they cost you — spotting the queue that's forming before it becomes the review you didn't want.

The same memory reaches beyond the enterprise: it powers consumer home-security cameras and video doorbells — bringing real understanding, not just motion alerts, to the front door.

The long viewVisual memory · 2026

From one frame

to total recall.

GalvisionThe visual memory layer

Get in Touch

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