A World Of Vision Intelligence.
One Click Away.

Build and deploy vision AI workflows in minutes. Run in the cloud, or locally.

Get started

A workflow graph wiring a camera input through a detector to a zone-logic step.

1.0Build & Run WorkflowsExplore

A contact sheet of frames being labelled and reviewed before publication.

1.1Datasets & LabellingExplore

A list of candidate models with their task and tuning state.

1.2Models & TrainingExplore

A production health chart holding above its target line.

1.3Deploy & MonitorExplore

For Developers

Give your
agents sight

Score Studio is the computer vision layer for agents, automating data generation, annotation, training, evaluation, workflows, and deployment in one evidence-backed system.

Get an API key

npx add-mcp https://mcp.scorestudio.ai/mcp \
  --name score \
  --header "Authorization: Bearer $SCORE_API_KEY"

Real scenes.
Inspectable outputs.

See the world your cameras see, shape what they understand, and carry that intelligence seamlessly from prototype into full production.

Traffic at an urban interchange with vehicles boxed by a detector.

Object Detection

2.0Urban InterchangesExplore

Containers on a dock, each separated by a segmentation mask.

Instance Segmentation

2.1Dock OperationsExplore

Shoppers tracked and counted as they cross a storefront threshold.

Tracking & Counting

2.2Storefront AnalyticsExplore

Bring assets.
Or build them.

Begin with proven data and models, or start from an unsolved vision problem. Both paths become one coherent production system.

Stacked cubes assembling into a finished block.

Directly to system design

Select an existing dataset and a model with runnable weights, verify its measured performance, then compose and deploy the workflow.

3.0UseGet Started

Beyond the model catalog

Upload or generate data, annotate it, train directly, or engage Model Foundry to develop a frontier model for a problem that off-the-shelf systems cannot solve.

3.1CreateGet Started

One project.
No lost context.

Score Studio organizes computer vision around the lifecycle of the system — not a collection of disconnected tools.

Data
Annotate
Train
Evaluate
Build
Deploy
Monitor

4.0Data

Upload or generate images, review annotations, and preserve immutable versions.

4.1Models

Use ready weights, train a model, or engage Model Foundry against a defined eval contract.

4.2Evidence

Inspect predictions, ground truth, failure modes, class metrics, and measured latency.

4.3Systems

Compose processing logic visually, select infrastructure, and observe production behavior.

Compose
everything visually

Configure without losing the underlying technical contract.

Typed Inputs &
Outputs
Ready-made &
Custom Model Blocks
Provider &
Deployment Blocks

03Class / Confidence / Zone

Event Output

04Provider Destination

5.0WorkflowGet Started

Inspect
every release

Datasets, annotations, training, evaluation, and infrastructure stay visible technical surfaces, not hidden wizard steps.

The Model Learns by Itself

Annotation Area

Annotation Dimensions

TallerWider

6.0MonitorGet Started

Standalone Annotation Studio

6.1Label, Assist & ReviewExplore

Training Telemetry

6.2Train, Compare & ApproveExplore

Providers, Edge & SDK

6.3Connect, Automate & DeployExplore

Our lab can
build your model

Engage Model Foundry to build an evaluated, production-ready model for your hardest Vision AI problem.

Open 24/7. Submit the task, evals, and budget directly.
Frontier lab on demand. Specialists adapt, distill, or build what the task requires.
Proof before release. Approve the benchmark result, then open-source the model or deploy it privately.