Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. ModAstera records 0 monthly visits with -100% growth and Contact for Pricing pricing.
The environments frontier AI trains on, and the agents that do the recurring work
Messy data in. Deployable AI out. One traceable workflow from label to live endpoint.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | labelbox.com | modastera.com |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 762.8K (762,803) | 0 (0) |
| MoM Traffic Delta | -225.17K (-22.8%) | -9 (-100%) |
| Primary Market & Share | 🇺🇸 United States (21.9%) | 🌐 Global (—) |
| Direct Visits / mo | 370.02K | 0 |
| 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.
Messy data in. Deployable AI out. One traceable workflow from label to live endpoint.
Turn raw datasets into training-ready assets with assisted labeling, review loops, structured metadata, and captured dataset lineage before training begins.
Define experiments, compare model versions, track metrics, subgroup checks, and drift context, and manage compute in one place.
Package validated models with environment controls, model cards, audit trails, and deployment records that lead to secure production endpoints.
Purpose-built paths for clinical datasets and annotation as well as inspection, sensor, and operational data for quality and reliability.
Free / Open-sourceOpen-source workflow automation built for AI agents and technical teams
Free / Open-sourceOpen-source workflow automation built for AI agents and technical teams
No-code builder for custom AI agents and workflows
No-code builder for custom AI agents and workflows
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.
Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
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.
Free / Open-sourceTurn one prompt into live business apps, AI agents and automated workflows
Free / Open-sourceAI data infrastructure for building production-grade models
Free / Open-sourceAI data infrastructure for building production-grade models
Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceOpen-source AI automation that unifies agents, flows and 770+ app integrations
Free / Open-sourceOpen-source AI automation that unifies agents, flows and 770+ app integrations
The multimodal data layer for computer vision and physical AI teams
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.
