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
Label Studio records 137,199 monthly visits with -16.1% month-over-month growth and Contact for Pricing, Free pricing. MD.ai records 6,650 monthly visits with -11.2% growth and Contact for Pricing pricing.
AI-powered radiology reporting and DICOM-native medical imaging annotation
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | labelstud.io | md.ai |
| Pricing Model | Contact for Pricing, Free | Contact for Pricing |
| Monthly Visits | 137.2K (137,199) | 6.65K (6,650) |
| MoM Traffic Delta | -26.29K (-16.1%) | -838 (-11.2%) |
| Primary Market & Share | 🇺🇸 United States (23.9%) | 🇺🇸 United States (62.5%) |
| Direct Visits / mo | 47.14K | 2.6K |
| User Rating | 4.7 | 4.4 |
| Supported Platforms | Website | Website |

Label any data. Evaluate any AI.
Programmable interfaces and custom templates let one workspace handle images, video, audio, text, PDFs, time series and multi-modal tasks.
Build custom benchmarks and rubrics, run side-by-side model comparisons, and grade generated answers against retrieved sources for RAG evaluation.
Collect human preferences, corrections and rankings to feed reinforcement learning from human feedback and fine-tuning workflows.
Connect observability tools, storage and any model to power AI-assisted pre-labeling, benchmarking and continuous evaluation.
AI-powered radiology reporting and DICOM-native medical imaging annotation
Automatic template selection, dictation-to-findings mapping, impression generation and proofreading inside a radiology reporting workflow.
Generates billing codes from the report and produces patient-friendly audio summaries for clearer communication and education.
HL7 and DICOM integration connects the reporting tool to existing clinical systems, with AI-driven or traditional reporting modes available.
Build labeled imaging datasets with native DICOM support, AI-assisted annotation, an FDA 510(k)-cleared viewer and elastic scaling.
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-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos

SpecialistEnterprise AI infrastructure where software and expert humans work together
SpecialistEnterprise AI infrastructure where software and expert humans work together

Free / Open-sourceSelf-hosted AI workspace for local and cloud models
Free / Open-sourceSelf-hosted AI workspace for local and cloud models

SpecialistThe environments frontier AI trains on, and the agents that do the recurring work
SpecialistThe environments frontier AI trains on, and the agents that do the recurring work
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians

Human-validated training data and evaluation services for frontier AI models

AI data infrastructure for building production-grade models
AI data infrastructure for building production-grade models

SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
The multimodal data layer for computer vision and physical AI teams

Free / Open-sourceGenerative AI for medical and everyday health questions
Free / Open-sourceGenerative AI for medical and everyday health questions