Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. Captum records 4,464 monthly visits with -42.7% growth and Free pricing.
Human-validated training data and evaluation services for frontier AI models
Open-source model interpretability for PyTorch
| Dimension / Metric | | |
|---|---|---|
| Official Domain | appen.com | captum.ai |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 665.84K (665,840) | 4.46K (4,464) |
| MoM Traffic Delta | +1.1K (+0.2%) | -3.33K (-42.7%) |
| Primary Market & Share | 🇺🇸 United States (22%) | 🇺🇸 United States (97.2%) |
| Direct Visits / mo | 238.31K | 1.56K |
| User Rating | 4.4 | 4.7 |
| 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.
Open-source model interpretability for PyTorch
Integrated Gradients, GradientShap, Saliency, Occlusion, DeepLIFT and related methods behind a single consistent interface.
Works across vision, text and other modalities, so the same interpretability workflow applies to different model types.
Supports most PyTorch model architectures and requires little or no modification to the original network.
An open-source, generic library for interpretability research where new algorithms can be implemented and benchmarked.
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
Free / Open-sourceBuild, train, and deploy computer vision for the physical world
Free / Open-sourceBuild, train, and deploy computer vision for the physical world
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.
SpecialistThe data, evaluations and systems behind AI that has to be right.
SpecialistThe data, evaluations and systems behind AI that has to be right.
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
SpecialistThe multimodal data layer for computer vision and physical AI teams
SpecialistThe multimodal data layer for computer vision and physical AI teams
One universal API for 500+ AI models and 1,000+ agentic tools
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.
