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
BasicAI Cloud records 21,670 monthly visits with -13.1% month-over-month growth and Freemium, Enterprise Quote 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 | basic.ai | md.ai |
| Pricing Model | Freemium, Enterprise Quote | Contact for Pricing |
| Monthly Visits | 21.67K (21,670) | 6.65K (6,650) |
| MoM Traffic Delta | -3.27K (-13.1%) | -838 (-11.2%) |
| Primary Market & Share | 🇺🇸 United States (21.7%) | 🇺🇸 United States (62.5%) |
| Direct Visits / mo | 8.71K | 2.6K |
| User Rating | 4.2 | 4.4 |
| Supported Platforms | Website | Website |

AI data annotation platform and managed labeling services for AI training data
Bounding boxes, polygons, keypoints, semantic segmentation, 3D point cloud cuboids, text/NLP tagging and RLHF dataset creation in one platform.
Automated labeling assistance across images, point clouds and audio reduces manual effort while maintaining accuracy standards.
Project management adapts to your team structure with customizable workflows, progress tracking and detailed performance reporting.
Real-time feedback plus customizable batch QA rules catch issues early and enable targeted human review.
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

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

Free / Open-sourceReal-time vision AI models and a full platform to train, annotate, and deploy them
Free / Open-sourceReal-time vision AI models and a full platform to train, annotate, and deploy them

The environments frontier AI trains on, and the agents that do the recurring work
The 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
The multimodal data layer for computer vision and physical AI teams
SpecialistEnterprise AI training data, annotation and evaluation services
SpecialistEnterprise AI training data, annotation and evaluation services

Free / Open-sourceLabel any data. Evaluate any AI.

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