Trustfull
Stop Fraud, Not Customers
Est 2016|Valuation $31.1M|Raised $14.1M
Published Jul 14, 2026
Vendor materials indicate ongoing product expansion (for example, session analysis and partnership announcements). Buyers should verify availability by region, SLA coverage, and feature maturity for newer modules.
No direct churn narratives were found in the accessible public sources. Prospective buyers should request reference calls, renewal rates by segment, and examples where Trustfull was replaced and the reasons for replacement.
Based on small-sample reviews and vendor messaging, reasons include:
Critical evaluation:
Based on product motion (API integration, risk decisioning) and limited public pricing information, the likely best fit is mid-market to enterprise digital businesses with meaningful online fraud exposure. Startups can trial the product, but production ROI typically requires sufficient transaction volume to justify integration and tuning.
High-fit verticals based on vendor positioning and press examples include:
Trustfull’s positioning emphasizes reducing fraud while attempting to minimize customer friction (reducing step-up verification challenges). It competes in the digital risk, fraud decisioning, and identity-intelligence segments.
Vendor materials identify target sectors including banking, payments, lending, e-commerce, marketplaces, travel & hospitality, crypto, iGaming, and insurance — sectors that typically require fraud and abuse reduction while maintaining conversion.
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Download full report →Trustfull has limited presence and volume on mainstream SaaS review platforms based on the data captured:
Positive (Trustpilot, small sample):
Neutral-to-negative (Trustpilot, limited sample):
Third-party marketplace signal (G2):
Trustfull’s website includes customer partnership posts and case study-style content (examples cited include Subbyx and Banca Sella).
Example: Banca Sella partnership (vendor-published metric):
Critical evaluation:
Trustfull is a fraud prevention and identity-risk platform focused on real-time risk decisioning designed to minimize user friction across customer lifecycle events such as sign-up/onboarding, login (account takeover prevention), and session monitoring. The vendor describes non-interruptive background enrichment checks (referred to in some vendor materials as "silent checks") and combines open-source intelligence (OSINT) with proprietary models to produce risk signals and scores using identifiers such as email, phone, IP, device/browser signals, and behavioral signals.
Trustfull’s developer documentation states the platform supports timely, explainable decisioning workflows and includes analysis of emails, phones, IPs, devices, and behavioral signals using OSINT plus additional data sources disclosed by the vendor.