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Quantifind: The $126M AI Risk Platform
How a stealthy AI startup is quietly reshaping financial crime detection
In the shadowy world of financial crime detection, where banks spend billions on compliance, a 88-person startup is betting that AI can do it better, faster, and cheaper. Quantifind isn't just another RegTech player—it's a $126M-funded machine teaching machines to find needles in haystacks of data.
"Their secret weapon isn't just AI—it's the audacity to believe that 88 people can outmaneuver legacy compliance giants."
The Silent Traffic Paradox
With only 7,255 monthly visits and a global rank of #2.9M, Quantifind's digital footprint is surprisingly modest for a company with $126M in funding. Yet 53% of their traffic is direct—meaning professionals are typing 'quantifind.com' directly into their browsers. This isn't a consumer play; it's enterprise-grade stealth. The 28% organic search traffic is dominated by branded queries like 'quantifind' (660 monthly volume) and 'quantifind careers' (360 monthly volume), revealing a company that grows through reputation, not SEO.
The Funding-to-Product Ratio
Quantifind has raised $126M but only generates $12.9M in revenue—a 9.8x funding-to-revenue ratio that screams 'growth at all costs.' This is classic venture-scale thinking: spend heavily on R&D and sales to capture a market before competitors wake up. With 88 employees, that's $1.4M in funding per employee, suggesting they're building deep AI moats rather than chasing quick wins. The $12.9M revenue indicates they're likely in the 'land and expand' phase—securing pilot contracts with major financial institutions before scaling.
The tech stack reveals a pragmatic approach: jQuery and Bootstrap suggest a functional, if unflashy, front-end, while Cloudflare and Google Analytics indicate serious infrastructure thinking. The absence of a Trustpilot rating isn't surprising—B2B RegTech doesn't live on review sites. It lives in boardrooms and compliance departments where trust is earned through audits, not stars.
- Core AI differentiator: External data integration that legacy systems ignore
- Target market: Financial institutions drowning in false-positive alerts
- Growth strategy: Enterprise sales cycles, not viral marketing
- Competitive edge: 88 focused minds vs. 8,800 distracted ones at legacy vendors
The Quiet Giant in RegTech
Quantifind proves that in B2B AI, the best companies often have the smallest digital footprints. Their $126M war chest and 88-person team are building the intelligence layer that could make legacy AML systems obsolete. For investors, this is a bet on enterprise AI adoption. For founders, it's a masterclass in focused execution. For product people, it's a reminder that the most valuable software often solves the most boring problems.
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Intelligent Financial Crimes Automation for AML and KYC | Quantifind
Quantifind’s risk screening and investigations platform harnesses the full potential of AI and external data to streamline AML-KYC from end to end.
Intelligent Financial Crimes Automation • Quantifind
Risk screening & investigations, supercharged by science.
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About quantifind.com
Quantifind’s risk screening and investigations platform harnesses the full potential of AI and external data to streamline AML-KYC from end to end.
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quantifind.com uses 18 technologies across their website including Font Awesome, PHP, WordPress, and more.
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quantifind.com receives approximately 7.3K monthly visitors and ranks #2,931,000 globally. The website has a bounce rate of 55% with visitors viewing an average of 1.6 pages per visit. Users spend an average of 0:12 on the site.
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