Sama review: the labeling partner to pair with your robotics data provider

Answer in brief: Sama does not collect new robot data. It is a managed annotation and model-validation company that makes the data your robots or your collector capture usable for training. It loads up to 14 sensors (cameras, LiDAR, radar, ultrasonic), uses SLAM-assisted point-cloud accumulation and ego-motion compensation, and backs projects with a written quality guarantee starting at 95% and reaching up to 99.5%. Pair it with a collector from our ranked list when your bottleneck is labels, not capture.

Top pick for: complex industrial multi-sensor rigs. Palletization, cobot, AMR and quality-control labeling, with model validation that tells you which data to collect next.

Last updated 2026-11-09. This is independent research based on Sama's own pages. We have not tested the service.

Where Sama fits in a collection program

Embodiments. Sama works on your robots' existing sensor logs, from huge assembly lines to small AMRs. It does not capture demonstrations itself, and we found no first-party physical data collection on its robotics pages.

Scale. Sama handles high object densities and medium-length sequences, such as several minutes of assembly-line footage, using ML-assisted extrapolation plus its in-house workforce.

Delivery. Work is managed through SamaHub, its collaborative project space, with self-service sampling and reporting. You can integrate via API, CLI and webhooks, with custom engineering for deeper workflows.

Built for

• Industrial robotics, cobot, AMR and (de)palletization teams.
• Manufacturers labeling quality-control and package-inspection imagery.
• Teams that need model validation to find false positives and negatives and spot data gaps.

Where Sama wins

• Sensor muscle. Up to 14 sensors, multiple point clouds, accumulated point clouds and global coordinate conversion.
• Written quality guarantee. SamaAssure starts at 95% and can guarantee up to 99.5%.
• Gap finding. Model validation recommends the type of data needed to fix weaknesses. That is useful input for briefing your collector.
• In-house workforce. Sama says it uses its own workforce rather than outside contractors, and it has achieved B Corp recertification.

Where it falls short

• No first-party collection, so you still need a teleop or egocentric provider.
• Its robotics page is broad (it also covers LLM fine-tuning), with few robot-learning specifics such as action labels.
• No public pricing.

What it costs

Custom quote through 'Talk to an expert'. See the pricing guide. For a full perception-labeling comparison, see our sibling guide bestroboticsdatacompanies.com.

Proof points

In Sama's Indoor Robotics case study, Sama labeled data for the company's self-navigating Tando security drone, and Indoor Robotics says this significantly improved its training data for detecting people and doors. Sama also reports labeling millions of waste objects for PolyPerception with a 99% annotation quality score.

Shortlist these instead

• iMerit: managed robotics labeling plus egocentric collection.
• Segments.ai: a self-serve multi-sensor labeling platform.
• Encord: collection and annotation from one vendor.

Quick answers

Does Sama collect robot data?

We found no first-party physical data collection on Sama's robotics pages. It annotates and validates data you or your collector provide.

How many sensors can Sama label together?

Up to 14, including cameras, LiDAR, radar and ultrasonic sensors, plus multiple point clouds.

What quality guarantee does Sama offer?

SamaAssure starts with a 95% written quality guarantee for every project and can guarantee up to 99.5%.

Sources

• Sama: Robotics and manufacturing
• Sama: Indoor Robotics case study

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