Managed annotation for automotive, robotics & AI

Your most complex data, expertly annotated.

Grasp designs and runs custom annotation programs for automotive, robotics and AI teams—across camera, video, LiDAR, 3D and multimodal sensor data. Start with a focused pilot and scale with a workflow built for your system.

Built for your ontologyIndependently reviewedPilot to production
Open X Berkeley GNM Cory Hall
cam_highcam_wrist
30 fps · human review
reference dataset · Open X Berkeley GNM Cory Hall

Capabilities

One managed partner across the data your system actually uses.

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Image

Detection, segmentation, classification, keypoints and fine-grained attributes.

Video

Object tracks, events, states, actions and temporally precise boundaries.

Audio

Transcription, speaker turns, acoustic events, intent and quality review.

Text & GenAI

Classification, extraction, preference data, rubric-led evaluation and red teaming.

LiDAR & 3D

Cuboids, point-level segmentation, sensor fusion and multi-frame tracking.

Robotics

Episodes, trajectories, actions, failure states and multimodal sensor alignment.

Self-service annotation · Grasp Studio

Your team can annotate now—and bring in Grasp when the workload grows.

Grasp Studio gives startups, research teams and lean ML groups a fast path from raw data to review-ready labels. Start with a focused project, invite your own team and use AI-assisted workflows to move through repetitive work faster.

Bring your own team Start with one project Scale into managed delivery
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Studio workspaceYour team · Your workflow

01

Move faster with AI assistance

Use suggestions and assisted workflows where they remove repetitive work. Your team stays in control of every accepted label.

02

Keep annotation and review together

Define the work, assign it, resolve ambiguity and review progress without stitching together a fragile toolchain.

03

Work across your data program

Organize self-service projects across image, video, text, audio, LiDAR/3D and robotics episodes, with workflows matched to the data.

A controlled path to production

Scope, prove, then scale.

01

Scope

We translate the model objective into an annotation spec, acceptance criteria, staffing plan and delivery format.

02

Pilot

A representative calibration set exposes ambiguity early and gives both teams a concrete quality baseline.

03

Annotate

A managed team works to the agreed ontology with documented decisions and active production oversight.

04

Review

Independent review, consensus where it matters, targeted sampling and specialist escalation catch systematic errors.

05

Deliver

Validated data, traceable review outcomes and acceptance support arrive in the format your pipeline needs.

Quality you can inspect

Human verification is a process, not a badge.

We design quality controls around the consequences of error in your use case. Ambiguity is surfaced, decisions are documented, and review effort is placed where it changes the outcome.

Talk through your quality target

Calibration sets

Align the team and clarify edge cases before volume production starts.

Independent review

Separate annotation and review responsibilities for meaningful quality control.

Targeted sampling

Focus review on difficult classes, low-confidence work and known failure modes.

Acceptance criteria

Quality is evaluated against your task, not reduced to a context-free headline number.

Traceability

Retain task decisions, revisions and review outcomes for investigation and improvement.

Responsible delivery

Managed teams, fair-work requirements and accountable partner oversight.

Responsible annotation

Responsible teams. Reliable delivery.

Work stays with managed in-house teams and vetted partners, with named accountability instead of anonymous handoffs. Stable teams, paid training and clear ownership preserve domain knowledge, resolve edge cases faster and reduce rework—supporting predictable cost and throughput.

Our operating commitments

  • A documented living-wage benchmark or applicable collective agreement
  • Paid onboarding, training, review time and other required work
  • Human grievance and appeal channels with transparent quality decisions
  • Partner due diligence, annual attestations and corrective action

Managed services

Your data program, run with you.

We own scoping, workforce, operations, review and delivery for custom projects across all supported modalities.

Request a pilot plan

Grasp Studio

Self-service annotation for teams that want control.

Bring your own team, work across modalities and move faster with AI-assisted annotation and collaborative review. Start small in Studio, then add managed capacity when you need it.

Explore self-service Studio

Start with the problem

Your data is difficult for a reason. Let's make it useful.

Show us the sensor streams, edge cases, model failures or annotation backlog holding the program back. We'll turn the problem into a practical pilot and a defensible path to scale.