Quantifind
Quantifind applies AI to structured and unstructured external data to streamline AML, KYC and investigations workflows, with risk screening partnerships with major banks and government agencies.
Active KYC / KYB / AML API
Our Verdict
AI investigations layer for large banks and agencies, not a starter AML screening API.
Pros
- Unstructured-data AI for investigation workflows
- Used by major banks and government agencies
- Adds external risk context beyond watchlists
- Strong on adverse media and entity resolution
Cons
- Investigation-focused, not day-to-day screening
- Heavy contracts aimed at tier-1 customers
- Onboarding cycle measured in quarters
- Overlap with adverse media tools muddies value
Best for: Tier-1 banks and government agencies running complex AML investigations at enterprise scale
Not for: Fintechs just needing sanctions and PEP screening with a developer-friendly API
When to Use Quantifind
Good fit if you need
- AI-driven AML risk screening across structured and unstructured data
- KYC investigation enrichment from open-source intelligence
- Financial crime alert triage via AI entity resolution
- SAR investigation support with automated link analysis
- Sanctions evasion pattern detection for bank compliance teams
Lock-in Assessment
High 2/5
Lock-in Score 2/5
Pricing
Price wrong?Quantifind Pricing
- Pricing Model
- custom
- Free Tier
- No
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Community Discussion
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