BasicAI Cloud records 21,670 monthly visits with -13.1% month-over-month growth and Freemium, Enterprise Quote pricing. Invisible Technologies records 1,364,520 monthly visits with +64.4% growth and Contact for Pricing pricing.
AI data annotation platform and managed labeling services for AI training data
Enterprise AI infrastructure where software and expert humans work together
| Dimension / Metric | | |
|---|---|---|
| Official Domain | basic.ai | inv.tech |
| Pricing Model | Freemium, Enterprise Quote | Contact for Pricing |
| Monthly Visits | 21.67K (21,670) | 1.36M (1,364,520) |
| MoM Traffic Delta | -3.27K (-13.1%) | +534.28K (+64.4%) |
| Primary Market & Share | 🇺🇸 United States (21.7%) | 🇺🇸 United States (17.8%) |
| Direct Visits / mo | 8.71K | 877.84K |
| User Rating | 4.2 | 4.6 |
| 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.
Enterprise AI infrastructure where software and expert humans work together
Produces research-grade datasets, including multilingual and domain-specific evaluation data, backed by a large vetted expert network.
Runs AI systems through realistic task scenarios with custom criteria covering accuracy, safety, tone and domain fit, comparing models side by side.
Builds governed agents that handle multi-step work, use tools and write code, with versioning, per-customer separation and full audit trails.
Maps how work actually flows through an organisation, then automates steps gradually, routing to AI or humans as needed.
Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.
Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.
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
Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations.
Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations.
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
Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce.
Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce.
Strong human-in-the-loop data annotation and validation services, but offers less customizable end-to-end autonomous agent software.
Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible.
Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible.
AI data infrastructure for building production-grade models
AI data infrastructure for building production-grade models
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
