Binah.ai records 6,438 monthly visits with -26.4% month-over-month growth and Contact for Pricing pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.
Camera-based vital signs and wellness checks through one SDK
The environments frontier AI trains on, and the agents that do the recurring work
| Dimension / Metric | | |
|---|---|---|
| Official Domain | binah.ai | labelbox.com |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 6.44K (6,438) | 762.8K (762,803) |
| MoM Traffic Delta | -2.31K (-26.4%) | -225.17K (-22.8%) |
| Primary Market & Share | 🇺🇸 United States (57.5%) | 🇺🇸 United States (21.9%) |
| Direct Visits / mo | 2.54K | 370.02K |
| User Rating | 4.3 | 4.4 |
| Supported Platforms | Website | Website |
Camera-based vital signs and wellness checks through one SDK
Estimate heart rate, blood pressure, respiratory rate, oxygen saturation, and stress in 35-60 seconds using only a device camera.
Processing happens locally on the user's phone, tablet, or laptop, so end-user biometric data stays on their device and cloud costs are avoided.
Integrate the Binah SDK into an existing app or workflow so health measurements become a native part of your own product experience.
Beyond vitals, Binah surfaces cardiovascular insights, ASCVD 10-year risk estimation, heart age, and bloodless blood-test style estimates.
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.
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-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.
SpecialistEdge AI accelerators and vision processors for embedded intelligence
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.
SpecialistLarge Quantitative Models that model the physical world for enterprise science and security
Free / Open-sourceAgentic document extraction APIs that turn any document into auditable structured data
Lightweight, privacy-first face tracking, analysis and recognition SDKs for any device
Lightweight, privacy-first face tracking, analysis and recognition SDKs for any device
