How it Works?
Using Machine learning (ML) to protect and secure, digital transactions at scale.
Make every iota of data work
Customer profile, transaction history, behavioural biometrics, device profile, IP profile, Geolocation analysis, SMS, contact list, email address, value & velocity analytics are part of a growing list of tools that we leverage to protect institutions.
Excel at Machine Learning
Supervised machine learning, unsupervised machine learning, natural language processing, reinforced learning & graph analytics offer a range of arsenal to help institutions supercharge their battle against delinquents and better understand the customer at the time of onboarding.
Faster than a Bullet
Customer expectations of response time have dropped from Days to Minutes to Seconds to Milliseconds, hence credit decisioning needs to be handled faster than ever before in real-time.