Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. MD.ai records 6,650 monthly visits with -11.2% growth and Contact for Pricing pricing.
Human-validated training data and evaluation services for frontier AI models
AI-powered radiology reporting and DICOM-native medical imaging annotation
| Dimension / Metric | | |
|---|---|---|
| Official Domain | appen.com | md.ai |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 665.84K (665,840) | 6.65K (6,650) |
| MoM Traffic Delta | +1.1K (+0.2%) | -838 (-11.2%) |
| Primary Market & Share | 🇺🇸 United States (22%) | 🇺🇸 United States (62.5%) |
| Direct Visits / mo | 238.31K | 2.6K |
| User Rating | 4.4 | 4.4 |
| Supported Platforms | Website | Website |
Human-validated training data and evaluation services for frontier AI models
Chain-of-thought reasoning traces, SME-level RLHF, supervised fine-tuning demonstrations and adversarial red teaming for the most capable models.
Golden trajectories, RL environment design, failure-mode taxonomies and software-engineering-driven deep evaluation for autonomous agents.
Multilingual ASR and conversational speech data, expressive TTS annotation, vision-language model training data, video action labelling and voice-agent evaluation.
LiDAR point-cloud labeling, multi-camera sensor fusion, robot demonstration trajectories, world-model rollouts and embodied interaction logs.
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.
SpecialistConnects teams directly with verified human participants for preference tuning and studies, but lacks managed end-to-end labeling pipelines.
SpecialistConnects teams directly with verified human participants for preference tuning and studies, but lacks managed end-to-end labeling pipelines.
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
Blends custom software with dedicated human expert teams to handle complex operations, but operates as a bespoke service.
Blends custom software with dedicated human expert teams to handle complex operations, but operates as a bespoke service.
Combines robust data labeling tools with automated workflows, but focuses more on software tooling than managed human workforces.
Combines robust data labeling tools with automated workflows, but focuses more on software tooling than managed human workforces.
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Provides enterprise-grade AI training data and model evaluation at massive scale, but often with higher enterprise pricing.
Provides enterprise-grade AI training data and model evaluation at massive scale, but often with higher enterprise pricing.
Delivers advanced multimodal data curation and annotation infrastructure, but requires your own annotation workforce for labeling tasks.
Delivers advanced multimodal data curation and annotation infrastructure, but requires your own annotation workforce for labeling tasks.
SpecialistAgent observability, evaluation, and continuous improvement for production AI
SpecialistAgent observability, evaluation, and continuous improvement for production AI
The multimodal data layer for computer vision and physical AI teams
Offers pre-packaged AI training datasets and custom data collection services, but with a smaller global crowd than Appen.
Offers pre-packaged AI training datasets and custom data collection services, but with a smaller global crowd than Appen.
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
