TruValidate provides a real‑time risk assessment platform that combines identity, device, and behavioral data to generate a unified fraud score for each consumer interaction across web, mobile, and voice channels. The service offers APIs and a dashboard for automated decisioning, enabling financial services, e‑commerce, telecom, insurance, and gaming companies to verify users, reduce false positives, and protect against fraud while maintaining conversion rates.
Funding
$1.4B raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations that interact with consumers across digital and call‑center channels often cannot reliably confirm that a user is legitimate, leading to high fraud losses, abandoned transactions, and costly manual reviews.
Solution
TruValidate aggregates proprietary identity, device, and behavioral data to generate a unified risk profile for each consumer interaction. The platform delivers real‑time omnichannel authentication, allowing seamless verification whether a user is online, on a mobile app, or on the phone. Advanced fraud analytics apply purpose‑built machine‑learning models to detect both known and emerging fraud patterns. Integrated identity insights cross‑reference global data sources to confirm personal attributes, while digital insights assess the risk of anonymous sessions. All results are delivered via APIs and a web dashboard, enabling organizations to automate decisioning, reduce false positives, and improve conversion rates without sacrificing security.
Target Audience
Primary customers are financial services firms, e‑commerce platforms, telecom providers, insurance carriers, and gaming operators that require secure, high‑volume consumer onboarding and transaction verification across digital and voice channels.
Features
- Identity verification against extensive global datasets, including credit, government, and proprietary sources.
- Device intelligence that fingerprints browsers, mobile devices, and network attributes to assess authenticity and detect spoofing.
- Behavioral risk scoring that analyzes interaction patterns (typing cadence, navigation flow, call‑center voice cues) in real time.
- Omnichannel authentication APIs supporting web, mobile, and voice channels with single‑sign‑on and token‑based flows.
- Customizable fraud analytics engine with pre‑trained and client‑specific machine‑learning models for industry‑specific threats.
- Real‑time decisioning service that returns risk scores and recommended actions (accept, challenge, reject) via low‑latency REST/JSON endpoints.
- Secure data handling with end‑to‑end encryption, role‑based access controls, and compliance with major privacy regulations.
- Interactive analytics dashboard offering risk visualizations, trend reporting, and audit logs for compliance and operational monitoring.