Discai provides a cloud‑based AI‑driven AML Know Your Transaction platform that automates suspicious activity detection across large transaction volumes, delivering higher hit rates and lower false‑positive alerts. The solution integrates machine‑learning models with KYC, transaction history, and external data, offering explainable audit trails, automated scoring, and a standardized interface for easy integration with banking systems while maintaining ISO 27001 security and regulatory compliance.
Funding
$14.2M 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
Financial institutions face increasing regulatory pressure and the complexity of detecting money laundering, requiring extensive manual analysis of transaction data that is time‑consuming, error‑prone, and costly. Traditional AML systems generate high false‑positive rates, leading to inefficient use of scarce compliance resources and heightened operational risk.
Solution
Discai offers a cloud‑based AI-driven AML Know Your Transaction (KYT) platform that automates the detection of suspicious activity across large transaction volumes. The solution combines machine‑learning models with integrated KYC, transaction history, and external data to deliver higher hit rates and lower false positives. Adaptive models continuously learn from new patterns, providing explainable audit trails and automated client scoring to prioritize alerts. A standardized, well‑documented interface simplifies integration with existing banking systems, while transparent pricing and ongoing regulatory updates reduce total cost of ownership. The platform is built on KBC’s proven AI expertise and complies with strict privacy and ISO 27001 security standards.
Target Audience
Primary customers are banks, insurers, and other financial service providers that need to meet AML regulatory requirements while optimizing compliance operations.
Features
- Adaptive machine‑learning models that improve detection accuracy and reduce false‑positive alerts
- Automated scoring and prioritization of alerts with an explainable audit trail
- Holistic profiling using internal KYC data, transaction history, and external sources
- Scalable cloud deployment with modular architecture offering over 4,000 configurable features
- Standardized data model and CSV‑based interface for rapid, backward‑compatible integration
- Continuous model retraining (4–6 weeks initial training, annual updates included) and regulatory updates
- Transparent, fixed‑fee pricing based on active customers and selected modules
- ISO 27001 certified security and strict data‑privacy compliance