Grasp Studio · Self-service annotation

Turn raw data into reviewed evidence—on your team's terms.

Run annotation and review across visual, language and Physical AI data. Start with one focused project, use AI assistance to move faster and keep people in control of every accepted result.

Bring your own team Start with one project AI-assisted workflows Managed capacity when needed

Studio workspace

Urban perception sequence

Team active

Data type

primary · 0.94
review
2,480 framesTrack continuity

Move quickly without giving up control

Use AI-assisted proposals for repetitive work while your team decides what is accepted.

74% annotated

01

Prepare

Define the decision and the evidence.

02

Annotate

Move quickly with human-controlled assistance.

03

Review

Resolve ambiguity inside the workflow.

04

Release

Ship an accepted, traceable version.

One workspace · your data program

Work across modalities without flattening the problem.

A video event, a LiDAR track and a robot failure do not need the same workflow. Studio keeps projects consistent while preserving the context each data type needs.

Image

Classification, boxes, keypoints, segmentation, attributes and structured visual review.

Video

Object tracks, events, states, temporal boundaries and sequence-level quality decisions.

LiDAR & 3D

Cuboids, point segmentation, multi-frame tracks and camera–LiDAR alignment.

Robotics

Episodes, trajectories, actions, contact, failure, recovery and task outcomes.

Text

Classification, extraction, rubric evaluation, preference data and safety review.

Audio

Transcription, acoustic events, speaker structure and multimodal language context.

Built for the team you have

Start small without choosing a small future.

Start focused

A serious workflow without a platform project.

Begin with one useful dataset and one clear acceptance decision. Add people, projects and modalities as the work proves its value.

Stay in control

AI assistance proposes. Your team decides.

Use assistance where it removes repetitive effort while keeping every accepted label, exception and release under human control.

Scale your way

Keep the workflow when capacity changes.

Annotate with your own team, ask Grasp to operate a managed program, or combine both without rebuilding the data definition.

AI assistance with a clear boundary

Faster work. Visible judgment.

Studio uses assistance to reduce repetitive effort and help teams find work that deserves attention. It does not hide uncertainty or turn a model proposal into accepted ground truth without review.

  • People accept, reject or refine assisted proposals
  • Review remains connected to the item and project context
  • Ambiguity can be escalated instead of forced into a label
  • Release decisions remain explicit and traceable
Review queue12 need judgment
01

Boundary uncertainty

Temporal event begins between two defensible frames

Review
02

Cross-view conflict

Identity differs between synchronized sensors

Resolve
03

Low-confidence proposal

Assistance surfaced an edge case for human inspection

Inspect

Self-service Studio

Your people. Your workflow. Your pace.

Best when your team wants direct control over annotation and review, with a focused workspace and AI assistance that accelerates—not replaces—judgment.

Request Studio access

Managed annotation

Grasp operates the program with you.

Best when you need trained capacity, specialist review or operational ownership from scoping and calibration through accepted delivery.

Request a pilot plan

Questions before you start

Choose the smallest useful first project.

Who is Studio designed for?+

Startups, research teams and established ML groups that want to run annotation and review with their own people. A focused first project is enough; you do not need a large labeling operation.

Does AI make the final labeling decision?+

No. Assistance is used to accelerate repetitive steps and surface likely work. Your team remains responsible for acceptance, ambiguity and release decisions.

Can Grasp take over the annotation later?+

Yes. The same project can become the foundation for a managed pilot or production program when you need more capacity, specialist review or operational ownership.

What can we annotate?+

Studio supports workflows across image, video, text, audio, LiDAR/3D, multimodal sensor data and robotics episodes. We match the project setup to the evidence your model team needs.

Start where you are

Bring one dataset. Leave with a working annotation loop.

Tell us what your model needs to learn, which data you have and who will review the result. We'll help define the first useful Studio project.