Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. UbiOps records 15,928 monthly visits with +2.6% growth and Contact for Pricing pricing.

Run, orchestrate and scale AI workloads on any infrastructure
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | labelbox.com | ubiops.com |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 762.8K (762,803) | 15.93K (15,928) |
| MoM Traffic Delta | -225.17K (-22.8%) | +397 (+2.6%) |
| Primary Market & Share | 🇺🇸 United States (21.9%) | 🇳🇱 Netherlands (83.9%) |
| Direct Visits / mo | 370.02K | 12.55K |
| 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.

Run, orchestrate and scale AI workloads on any infrastructure
Deploy and manage models from one interface whether they run locally, in a hybrid cloud, or spread across several cloud providers.
Turn models into production API endpoints with versioning, scaling algorithms, and monitoring built in, so teams avoid managing Kubernetes and cloud infrastructure themselves.
Instantly scale AI and machine learning workloads onto GPU capacity as demand changes, keeping compute costs under control.
API management, version control, access management, resource prioritization, auditing, and monitoring come as standard, helping prevent shadow IT.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud

Free / Open-sourceCloud ComfyUI platform to run workflows and build AI apps
Free / Open-sourceCloud ComfyUI platform to run workflows and build AI apps
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
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-sourceSelf-hosted AI workspace for local and cloud models
Free / Open-sourceSelf-hosted AI workspace for local and cloud models

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.

Hands-on lab infrastructure for AI, cloud, and data education

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.

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.
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-sourceOpen-source workspace to build, deploy and govern AI agents