Radiance provides a post‑transaction fraud platform for e‑commerce retailers that consolidates data from payments, order management, logistics, and customer service systems to generate risk scores for refunds, returns, and disputes. Its explainable AI and text‑analysis engine deliver auditable evidence and real‑time alerts, helping merchants detect serial abuse and recover lost revenue while staying compliant with GDPR and related regulations.
Funding
Funding not disclosed
Founders
Product
Problem
Retailers lose significant revenue to post‑transaction fraud on refunds, returns, and disputes, yet existing tools focus on pre‑purchase fraud and lack visibility into cross‑system signals such as logistics, support tickets, and order history.
Solution
Radiance offers a unified post‑transaction fraud platform that aggregates data from payment gateways, order management, logistics providers, and customer service systems to build a comprehensive risk profile for each claim. Its explainable AI generates confidence scores and transparent evidence for every flag, enabling merchants to audit decisions and stay compliant with GDPR and related regulations. Real‑time data synchronization ensures the latest order status and support interactions are considered, while historical behavior analysis automatically identifies serial returners and multi‑account abuse. The platform also applies text intelligence to unstructured support communications, detecting scripted language and contradictions that traditional fraud tools miss. By consolidating these signals, Radiance helps merchants reduce undetected fraud, recover lost revenue, and make confident, evidence‑based decisions on refunds and disputes.
Target Audience
Primary customers are mid‑market to enterprise e‑commerce merchants and retailers that process refunds, returns, and disputes across multiple operational systems.
Features
- Automatic integration with payment, order, logistics, and customer service platforms (e.g., Stripe, Shopify, Zendesk, Shippo) for unified risk profiling
- Cross‑system pattern detection that correlates data across multiple tools in real time
- Explainable AI architecture delivering confidence scores and auditable evidence chains for each risk signal
- Regulation‑ready design built to meet GDPR, DSA, and EU AI Act compliance requirements
- Text intelligence engine that analyzes chat, email, and ticket content to surface scripted abuse and contradictory claims
- Historical behavior analysis to flag serial returners and multi‑account fraud without manual effort