Autify records 60,130 monthly visits with +6% month-over-month growth and Contact for Pricing pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.
AI testing platform for the entire software testing lifecycle
The environments frontier AI trains on, and the agents that do the recurring work
| Dimension / Metric | | |
|---|---|---|
| Official Domain | autify.com | labelbox.com |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 60.13K (60,130) | 762.8K (762,803) |
| MoM Traffic Delta | +3.38K (+6%) | -225.17K (-22.8%) |
| Primary Market & Share | 🇯🇵 Japan (34.3%) | 🇺🇸 United States (21.9%) |
| Direct Visits / mo | 21.14K | 370.02K |
| User Rating | 4.2 | 4.4 |
| Supported Platforms | Website | Website |
AI testing platform for the entire software testing lifecycle
An autonomous agent that uses natural language and visual recognition to generate and execute end-to-end tests across web, mobile, and desktop apps.
Generative-AI test design that moves from product requirements and source code to structured features, testing viewpoints, and detailed test cases.
Build and maintain automated tests without scripting, using flexible, self-healing locators that adapt as the application changes.
Support for end-to-end, regression, smoke, functional, and visual testing, including tricky targets like Salesforce and Canvas/WebGL apps.
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.
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-sourceGenAI-native end-to-end QA agent that plans, writes and heals tests in plain language
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.
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.
Free / Open-sourceAI-augmented quality platform for web, mobile, API and desktop testing
Free / Open-sourceAI-augmented quality platform for web, mobile, API and desktop testing
Free / Open-sourceProvides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance.
Free / Open-sourceProvides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance.
Free / Open-sourceAgentic end-to-end testing that writes, runs and heals your test suite
Free / Open-sourceAgentic end-to-end testing that writes, runs and heals your test suite
Free / Open-sourceWrite end-to-end test automation in plain English, no code required
Free / Open-sourceWrite end-to-end test automation in plain English, no code required
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.
