Standard "Finance" lists are a mess of shell companies, personal accountants, and dead blogs. Our AI agents verify active regulatory status, fintech stack usage, and AUM signals to find high-growth Fintechs, VC Firms, and Wealth Managers.
Why data accuracy matters in regulated industries.
If you target the "Finance" category in a standard database, you get 100,000 domains. But 60% are small-town tax preparers or insurance brokers with no budget for enterprise tools.
You need to distinguish between a Series B Fintech spending $50k/mo on cloud infra and a local CPA spending $50/mo on QuickBooks.
| Metric | Standard "Finance" List | Our ICP Database |
|---|---|---|
| Classification | Broad (NAICS 52) | Specific (e.g. Neo-Bank) |
| Regulatory Check | None | SEC / FINRA / FCA Signals |
| Tech Stack | Basic DNS | Stripe, Plaid, AWS, Alloy |
| Growth Signal | None | Hiring & Funding Data |
Target specific financial models, not just "companies with money."
Investment partnerships managing funds. Targets for deal flow software, data rooms, and fund admin services.
Challenger banks and savings apps. Heavy users of cloud infra, KYC/AML tools (Onfido/Socure), and marketing.
Registered Investment Advisors. Targets for portfolio management software (Orion/Black Diamond) and compliance tools.
Companies facilitating transactions. Intense needs for fraud detection, gateway infrastructure, and security.
Digital asset platforms. High security needs, blockchain node infrastructure, and specialized legal services.
Alternative lenders. Targets for credit scoring data, underwriting automation, and loan servicing software.
Digital-first insurance carriers/brokers. Heavy data consumers (risk modeling) and cloud users.
Regional institutions. Undergoing digital transformation, looking for white-label banking portals.
Buyout and growth equity shops. Targets for M&A data, expert networks, and due diligence services.
Software for bookkeeping/tax. B2B targets for API integrations (Plaid/Codat) and cloud hosting.
Tech-enabled lending brokers. Heavy users of CRM (Salesforce) and marketing automation.
HR and payroll processing firms. Targets for benefits software integration and security auditing.
Cross-border payment companies. High volume, low margin. Needs banking partners and compliance tools.
Automated investment platforms. Heavy algorithmic trading needs and customer support automation.
Funding legal cases. Niche target for legal data research and specialized underwriting.
Invoice discounting services. Targets for B2B credit data and collections software.
Pooled investment funds. Extreme data consumers (alternative data, satellite imagery, sentiment).
Private wealth management for HNW families. Discrete, high-value targets for luxury services and exclusive deals.
Short-term capital for retail. Aggressive marketing needs, skip tracing, and lead gen data.
Helping clients with IRS debt. High-volume call centers needing VoIP and CRM solutions.
In Fintech and Banking, the technology stack tells the whole story. A company using Plaid and Stripe is fundamentally different from one using a legacy AS/400 system.
We extract these "Technographic Signals" to help you score leads based on their maturity and budget.
If you sell security software, filter for Fintechs that recently raised a Series A.
Pitch: "Congratulations on the raise. We help Series A Fintechs automate SOC2 compliance so you can close enterprise deals faster..."
The finance world is full of shell companies and holding entities that have no operations. Our AI checks for "Operational Liveness" by looking for:
This removes the ~40% of domains in standard lists that are just "paper tigers" with no buying intent.
Access the clean, enriched data you need to close Fintechs, VCs, and Banks.
Websitecategorizationapi.com offers automated classifications of websites, with both homepage and full path real-time URL classifications. Our solution is available both in dashboard and as API. It is used for brand protection, marketing leads, online filtering, use in clients own applications and for other use cases. We also offer offline categorization database of 30 million categorized domains, covering 99.9%+ of active internet.
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