High-quality human data for AI training, evaluation, and research
BasicAI Cloud records 21,670 monthly visits with -13.1% month-over-month growth and Freemium, Enterprise Quote pricing. Isahit records 13,136 monthly visits with +80.2% growth and Contact for Pricing pricing.

Ethical human-in-the-loop data labeling and AI validation
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | basic.ai | isahit.com |
| Pricing Model | Freemium, Enterprise Quote | Contact for Pricing |
| Monthly Visits | 21.67K (21,670) | 13.14K (13,136) |
| MoM Traffic Delta | -3.27K (-13.1%) | +5.85K (+80.2%) |
| Primary Market & Share | 🇺🇸 United States (21.7%) | 🇫🇷 France (30.7%) |
| Direct Visits / mo | 8.71K | 5.48K |
| User Rating | 4.2 | 4.1 |
| 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.

Ethical human-in-the-loop data labeling and AI validation
Annotation services for object detection, classification and segmentation across still images and frame-by-frame video, aimed at autonomous driving, drones and industrial inspection models.
Text extraction, intent tagging, transcription and speech dataset work to train and evaluate language, conversational and voice models.
Human feedback collection, prompt monitoring, A/B testing and output evaluation to fine-tune LLMs and correct biases in generative and agentic systems.
Independent human testing, risk evaluation and traceable evidence to help teams document and validate AI systems against regulatory requirements.
High-quality human data for AI training, evaluation, and research
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

Enterprise AI infrastructure where software and expert humans work together
Enterprise 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

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

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

Free / Open-sourceAI data infrastructure for building production-grade models
Free / Open-sourceAI 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.