Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. Theneo records 31,850 monthly visits with -17.3% growth and Freemium, Paid, Contact for Pricing pricing.
The environments frontier AI trains on, and the agents that do the recurring work
API docs that humans and AI agents ship together
| Dimension / Metric | | |
|---|---|---|
| Official Domain | labelbox.com | theneo.io |
| Pricing Model | Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 762.8K (762,803) | 31.85K (31,850) |
| MoM Traffic Delta | -225.17K (-22.8%) | -6.65K (-17.3%) |
| Primary Market & Share | 🇺🇸 United States (21.9%) | 🇺🇸 United States (23.2%) |
| Direct Visits / mo | 370.02K | 16.91K |
| User Rating | 4.4 | 4.3 |
| 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.
API docs that humans and AI agents ship together
Paste an OpenAPI, GraphQL, gRPC, SOAP, or AsyncAPI spec and Theneo builds a complete, navigable API reference with code samples and a versioned playground.
Engineers, writers, and PMs edit in the same document with live cursors, comments, version history, and one-click rollback, so docs stop drifting from the product.
Automatic changelog generation flags breaking changes as APIs evolve, keeping a timeline developers can trust.
An Ask AI assistant answers developer questions from your docs, and an MCP server plus llms.txt make the content usable by coding agents.
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.
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.
The documentation platform that keeps docs accurate for people and AI
The documentation platform that keeps docs accurate for people and AI
AI diagrams and technical design docs built from your code and systems
AI diagrams and technical design docs built from your code and systems
Custom AI agents trained on your documentation and knowledge base
Custom AI agents trained on your documentation and knowledge base
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 intelligent documentation platform that keeps itself up to date
Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling.
Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling.
Context-aware AI that plans, codes, tests, and documents across your engineering workflows
Context-aware AI that plans, codes, tests, and documents across your engineering workflows
No-code AI agents grounded in your company's knowledge
