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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

389K visits/mo
Flame Analytics logo
Flame Analytics
✓ verifiedPaid

Privacy-first AI video analytics for stores and venues, measuring traffic, conversion, dwell time, and occupancy from existing CCTV.

36K visits/mo
BasicAI Cloud logo
BasicAI Cloud
✓ verifiedFreemium

Data-annotation platform with AI-assisted labeling tools and team workflows for building ML training datasets.

22K visits/mo
18K visits/mo
Keak logo
Keak
✓ verifiedPaid

AI A/B testing tool that analyzes a page, generates variants, and runs experiments automatically to lift conversions.

54K visits/mo15K saves
Pricing
Pay-as-you-go: 42.8% platform fee for corporate, 33.3% for academic/non-profit (no monthly fee)
Participant payment: minimum $8.00/hr, recommended $12.00/hr

No public pricing

No public pricing

No public pricing

No public pricing

Core features
  • Access to a verified and engaged participant pool
  • Self-serve platform for easy task setup and launch
  • Tools for AI training and evaluation
  • Fair compensation for participants
  • Audience checker
  • AI people counting (no biometrics)
  • Conversion analytics cross-checked with POS
  • Customer journey and heatmaps
  • Real-time occupancy and queue analytics
  • Guest WiFi capture and marketing
  • Customizable dashboards, 200+ KPIs
  • AI-assisted data annotation tools
  • Training-data platform (BasicAI Cloud)
  • Team and project management
  • Annotation services
  • AI Dashboard Generator
  • Automated KPI Discovery
  • Deep Pattern Analysis
  • Intelligent Report Structure
  • Context-Aware Charting
  • Automated Data Prep
  • One-Click AutoML
  • Interactive Predictions
  • Explainable AI (XAI)
  • API & Integration Ready
  • Automatic page analysis
  • AI-generated test variants
  • Autonomous experiment running
  • Automatic winner deployment
  • Integrations with site platforms
  • Conversion tracking
Use cases
  • Academic research
  • AI training and evaluation
  • Market research
  • User research & testing
  • Data annotation
  • Training & alignment
  • Evaluation & safety
  • Measuring footfall and conversion in stores
  • Optimizing mall tenant mix and layout
  • Activating marketing via guest WiFi
  • Labeling images and data for ML models
  • Managing annotation teams and projects
  • Producing training datasets at scale
  • Sales Analytics (performance, pipeline analysis, forecasting)
  • Marketing Analytics (campaign ROI, attribution, funnel conversion)
  • Financial Health (profitability, expense tracking, cash flow)
  • Operations & Supply Chain (inventory, efficiency, logistics)
  • Improve landing-page conversion
  • Automate CRO experiments
  • Test copy and layout variants
  • Optimize signup and checkout flows
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