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Flagright AI
✓ verifiedPaid
AML and fraud compliance platform pairing transaction monitoring, screening, and explainable AI agents for financial institutions.
39K visits/mo321 saves
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Facia
✓ verifiedFree trial
Enterprise biometric platform for liveness, deepfake detection and face matching in KYC and fraud-prevention flows.
95K visits/mo6.8K saves
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Qoder
✓ verifiedFreemium
Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
2.7M visits/mo32K saves
Pricing
No public pricing
Pay As You Go: $0.10/check (Quick Liveness)
Pay As You Go: $0.12/check (Detailed Liveness)
Pay As You Go: $0.40/check (Deepfake Detection)
Pay As You Go: $0.70/check (Document Verification)
Free trial available
No public pricing
Free trial available
Core features
- ✦Real-time transaction monitoring and rule engine
- ✦Explainable AI forensics agents
- ✦Dynamic risk scoring
- ✦Watchlist/sanctions/PEP screening
- ✦AI-native case management
- ✦Automated SAR filing to FinCEN and 70+ GoAML countries
- ✦Active and passive liveness detection
- ✦Deepfake and AI-generated media detection
- ✦1:1 and 1:N face matching and search
- ✦Age estimation and document verification
- ✦iBeta Level 2 certified, low FAR/FRR
- ✦Lightweight mobile SDKs and REST APIs
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
Use cases
- →AML compliance and monitoring
- →Reducing false-positive alerts
- →Streamlining fincrime investigations and SAR filing
- →Anti-spoofing liveness checks during KYC onboarding
- →Detecting deepfakes in live video calls
- →Step-up biometric authentication for risky actions
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
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