Guardinex
Guardinex is an Identity-based Fraud and Credit Risk modeling company that offers custom risk scores to reduce risk across the customer lifecycle. Their core products are SaaS offerings powered by an ML/AI engine, delivered through a real-time Risk Inference API. They leverage machine learning models trained on consortium and historic data, analyzing billions of data points and identifying footprints on the web, including the Dark Web, to predict identity risk with high precision and recall. Guardinex's solutions are designed for financial institutions, retailers, online services, and government entities, and meet stringent compliance requirements such as SOC 2, GDPR, CCPA, and ISO 27001. The company's vision is to protect businesses and their customers from Identity Fraud by continuously evolving their capabilities to keep pace with current and emerging threats.
Guardinex
Guardinex is an Identity-based Fraud and Credit Risk modeling company that offers custom risk scores to reduce risk across the customer lifecycle. Their core products are SaaS offerings powered by an ML/AI engine, delivered through a real-time Risk Inference API. They leverage machine learning models trained on consortium and historic data, analyzing billions of data points and identifying footprints on the web, including the Dark Web, to predict identity risk with high precision and recall. Guardinex's solutions are designed for financial institutions, retailers, online services, and government entities, and meet stringent compliance requirements such as SOC 2, GDPR, CCPA, and ISO 27001. The company's vision is to protect businesses and their customers from Identity Fraud by continuously evolving their capabilities to keep pace with current and emerging threats.
TL;DR
Product: ML-powered SaaS and real-time Risk Inference API that generates identity risk scores from consortium, historic, web and dark-web signals
Funding: Completed $5M Series A (Nov 2021) — LL Funds ($4M) and an affiliate of CBC Companies ($1M)
Founding / HQ: Founded by Aravind Immaneni (Co‑Founder & CEO); headquartered in Bala Cynwyd, Pennsylvania
Customers / Use Cases: Designed for financial institutions, retailers, online services, and government entities to reduce identity fraud and credit risk
Meets SOC 2, GDPR, CCPA, and ISO 27001 requirements
Company Overview
Problem Domain
Identity fraud prevention and credit risk modeling
Founded
2020
Industry
Fintech
Funding Track Record
5,000,000 USD
$4,000,000 from LL Funds and $1,000,000 from an affiliate of CBC Companies; proceeds to support product enhancements, cloud infrastructure, new product launches, and hiring.
Investor Signal
“Series A investors include LL Funds (≈$4M) and an affiliate of CBC Companies (≈$1M)”