Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. T-Rex Label records 9,900 monthly visits with +37.6% growth and Free pricing.
The environments frontier AI trains on, and the agents that do the recurring work
Browser-based AI data labeling that turns one box into a whole annotated dataset
| Dimension / Metric | | |
|---|---|---|
| Official Domain | labelbox.com | trexlabel.com |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 762.8K (762,803) | 9.9K (9,900) |
| MoM Traffic Delta | -225.17K (-22.8%) | +2.7K (+37.6%) |
| Primary Market & Share | 🇺🇸 United States (21.9%) | 🇺🇸 United States (32%) |
| Direct Visits / mo | 370.02K | 3.9K |
| User Rating | 4.4 | 4.2 |
| Supported Platforms | Website | Website |
The environments frontier AI trains on, and the agents that do the recurring work
Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
Browser-based AI data labeling that turns one box into a whole annotated dataset
Detect and label targets the model was never trained on, without fine-tuning or extra training runs.
Give a single prompt and apply it across many images in one pass to cut repetitive annotation work.
Support for 2D boxes, segmentation masks and other standard annotation operations in one workspace.
Import and export datasets in widely used annotation formats for smooth handoff to training pipelines.
SpecialistStreamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration.
SpecialistStreamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration.
Free / Open-sourceReal-time vision AI models and a full platform to train, annotate, and deploy them
Free / Open-sourceReal-time vision AI models and a full platform to train, annotate, and deploy them
SpecialistRelies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox.
Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox.
Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox.
Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams.
Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
The multimodal data layer for computer vision and physical AI teams
Free / Open-sourceLabel any data. Evaluate any AI.
Free / Open-sourceFind where your physical AI models fail, then fix the data.
Free / Open-sourceFind where your physical AI models fail, then fix the data.
AI agents that detect, monitor and inspect anything you can see from the sky
AI agents that detect, monitor and inspect anything you can see from the sky
SpecialistFocuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
SpecialistFocuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
Innovatiana provides managed human data operations for AI — expert data labeling, annotation, RLHF and content moderation delivered by in-house trained specialists across computer vision, NLP, generative AI, audio and multimodal datasets.
Innovatiana provides managed human data operations for AI — expert data labeling, annotation, RLHF and content moderation delivered by in-house trained specialists across computer vision, NLP, generative AI, audio and multimodal datasets.
