Labelbox vs Sama
Relationship
Alignerr and Sama Validate do comparable work on data labelling; Sama's scale not recorded.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
4 of 8 capabilities — Shares data analysis, data labelling, evaluation and observability and 1 more.
Ludbee capability tags · from the product recordsShared product type — Both ship data service and platform.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 4
Not verified for Sama · 4
Recorded for Labelbox. Sama’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Labelbox · 1
Recorded for Sama. Labelbox’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Labelbox
Platform
Horizon supplies RL training gyms and evaluations for reasoning, tool use and computer use, using WorldSim to simulate enterprise environments such as GitLab, Jira, CRM, email and chat and to produce calibrated reward and preference signals for post-training.
Data service
Alignerr is Labelbox's expert-network product that routes AI training and evaluation tasks to credentialed contributors across 200+ knowledge domains and 40+ countries and returns structured outputs for RL training, RLHF and evaluation workflows.
Terra is Labelbox's robotics data product delivering video, trajectories and multimodal annotations across pre-training, post-training and evaluation stages, including expert teleoperation with action labels and multiple camera perspectives for embodied foundation models.
Sama
Platform
Sama's data annotation and validation platform, combining annotation tooling, SamaAssure quality assurance, SamaHub project management and reporting, and SamaIQ analytics, with a REST API and CLI for pipeline integration.
Data service
Sama Annotate is Sama's enterprise data annotation offering, delivering image, video and 3D point cloud labeling through a full-time in-house annotation workforce working on the Sama Platform, with CLI and API access for automated data workflows.
Sama Curate is a data curation offering that uses filtering and curation algorithms to suggest which assets in a raw dataset should be labeled, so teams annotate only the data most likely to improve an ML model.
Sama GenAI supplies human-generated training and evaluation data for foundation models, covering model validation and fact checking, instruction following, preference ranking, image and video captioning, creative writing, synthetic data creation and RAG evaluation.
Sama Validate is a managed human-in-the-loop service in which trained reviewers inspect and correct a customer's model predictions across image, video and 3D point cloud data and report where the model performs well or poorly.
No counterpart
Labelbox sells these in a stack layer with no product recorded for Sama yet — nothing on the other side to compare them against.
Application
Annotate is the data labeling product within Labelbox, providing 10+ built-in editors for multimodal chat, LLM evaluation, prompt/response generation, computer vision and NLP, plus customizable labeling and review workflows and team performance monitoring.
Catalog is Labelbox's data curation and search product providing out-of-the-box search across images, text, video, conversations and documents over metadata, vector embeddings and annotations without building your own vector database infrastructure.
Agent platform
Labelbox's reinforcement-learning platform for developing, evaluating and deploying enterprise specialist agents, connecting RL environments, evaluation systems and a training loop that fine-tunes models from graded rollout trajectories.
Developer tool
Foundry runs third-party foundation models over data already in Labelbox to pre-label and enrich image, text and document datasets without code, routing the predictions to human review; billed as inference cost per model run plus Labelbox Units.