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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.

DataVisor logo
DataVisor
✓ verifiedPaid

AI-native fraud and AML platform with real-time decisioning and cross-entity intelligence for banks, fintechs and payments.

19K visits/mo
Ultralytics logo
Ultralytics
✓ verifiedFreemium

End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.

1.1M visits/mo
Runware logo
Runware
✓ verifiedFreemium

Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.

249K visits/mo
26K visits/mo
Pricing

No public pricing

Free: $0/month (100GB storage, 100 models, 3 concurrent trainings)
Pro: $29/seat/month (500GB storage, 500 models, 10 concurrent trainings)
vCPU compute: $0.016/hr
RTX PRO 6000: $1.99/hr (as low as $0.99)
H100: $2.76/hr
H200: $3.18/hr
B200: $4.99/hr

Free trial available

No public pricing

Core features
  • Real-time AI fraud/AML decisioning
  • Adaptive ML detection engine
  • Cross-entity link analysis
  • AI agents incl. conversational 'Vera'
  • Investigation and reporting tools
  • Low-latency scoring at high QPS
  • Smart data annotation with SAM-powered one-click masks across six task types
  • Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
  • Support for YOLOv5 through YOLO26 model families
  • One-click deployment across 43 global regions with auto-scaling
  • Export to 18 formats including ONNX, TensorRT, and CoreML
  • Live training metrics and experiment comparison dashboard
  • Single API for image, video, audio, 3D and LLM models
  • Standardized model addressing across hosted, partner and custom uploads
  • Support for LoRAs, ControlNets, VAEs and embeddings on open-source models
  • WebSocket and REST access with async webhook delivery
  • Pay-per-request billing with no infrastructure to manage
  • Raw serverless GPU/CPU compute for custom workloads
  • AI-powered loan application review
  • Seamless integration with existing origination systems
  • Expanded credit box with zero balance sheet impact
  • Built-in compliance and security
Use cases
  • Stop payment, card and check fraud
  • Prevent account takeover and application fraud
  • Meet AML/BSA compliance
  • Onboard customers with less friction
  • Building and training custom object detection or segmentation models
  • Labeling large image/video datasets for computer vision projects
  • Deploying vision models to edge or mobile devices
  • Running quality control or defect detection in manufacturing
  • Powering retail, logistics, or agriculture vision applications
  • Adding AI image or video generation to an app without managing infra
  • Batching multi-modal generation tasks in one API call
  • Running custom fine-tuned models via Model Upload
  • Cutting inference costs at high generation volume
  • Retaining customers who don't meet pre-Pagaya credit criteria
  • Expanding lending portfolios into point-of-sale, personal loans, and auto loans
  • Increasing customer satisfaction through easier loan approvals
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