01
Prepare
Define the decision and the evidence.
Grasp Studio · Self-service annotation
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.
Studio workspace
Urban perception sequence
Data type
Use AI-assisted proposals for repetitive work while your team decides what is accepted.
01
Define the decision and the evidence.
02
Move quickly with human-controlled assistance.
03
Resolve ambiguity inside the workflow.
04
Ship an accepted, traceable version.
One workspace · your data program
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.
Classification, boxes, keypoints, segmentation, attributes and structured visual review.
Object tracks, events, states, temporal boundaries and sequence-level quality decisions.
Cuboids, point segmentation, multi-frame tracks and camera–LiDAR alignment.
Episodes, trajectories, actions, contact, failure, recovery and task outcomes.
Classification, extraction, rubric evaluation, preference data and safety review.
Transcription, acoustic events, speaker structure and multimodal language context.
Built for the team you have
Start focused
Begin with one useful dataset and one clear acceptance decision. Add people, projects and modalities as the work proves its value.
Stay in control
Use assistance where it removes repetitive effort while keeping every accepted label, exception and release under human control.
Scale your way
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
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.
Temporal event begins between two defensible frames
Identity differs between synchronized sensors
Assistance surfaced an edge case for human inspection
Self-service Studio
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 accessManaged annotation
Best when you need trained capacity, specialist review or operational ownership from scoping and calibration through accepted delivery.
Request a pilot planQuestions before you start
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.
No. Assistance is used to accelerate repetitive steps and surface likely work. Your team remains responsible for acceptance, ambiguity and release decisions.
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.
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.