Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
FinCense is an end-to-end, AI-powered FRAML platform (Fraud + Anti-Money Laundering) built to meet the evolving demands of financial institutions globally. Designed to detect, prevent, and respond to complex financial crime typologies in real time, FinCense delivers unparalleled risk coverage, operational efficiency, and regulatory confidence. It serves as a core component of our broader Trust Layer to fight financial crime, offering institutions a unified solution for compliance transformation.
FinCense integrates all major compliance workflows, including onboarding risk assessment, screening, transaction monitoring, customer risk scoring, alert triage, and investigation case management, into a single, intelligent platform. With support for 24+ languages and 14 scripts, FinCense is built for global deployment, ensuring region specific compliance and risk coverage for banks, payment processors, digital wallets, lending platforms, and neobanks across Asia-Pacific and beyond.
Show the rest of the publisher’s description (13 more lines)
Key Features:
- Real-Time FRAML Detection Engine
FinCense uses explainable AI to monitor customer behaviour, device data, and transaction flows in real-time. It detects authorised push payment (APP) fraud, account takeovers (ATO), mule networks, shell company laundering, and other emerging threats. Its scenario-led detection ensures institutions can onboard new typologies within days, not months.
- Federated Learning Engine
Unlike traditional systems, FinCense uses a federated AI model, learning from anonymised risk patterns across institutions without sharing sensitive data. This collaborative learning mechanism reduces false positives by up to 90%, increases detection accuracy beyond 95%, and enables adaptive threshold tuning without manual intervention.
- FinMate: The GenAI-Powered Copilot
FinCense includes FinMate, a secure, local LLM-based AI copilot that assists analysts in investigating alerts. It provides narrative summaries, explains anomalies, and recommends next steps, all with full audit trails and data privacy controls. It significantly reduces investigation time and improves decision consistency.
- Smart Screening Across Languages and Scripts
The Smart Screening module within FinCense supports real-time name, entity, and transaction screening across 24+ languages and 14 scripts, using 12+ NLP-driven matching algorithms. It ensures higher match accuracy while reducing false hits from common names and transliteration issues.
- Automated Case Management and Alert Prioritisation
FinCense includes a built-in case manager that streamlines compliance operations. AI agents triage alerts based on risk and relevance, enabling teams to focus on what matters most. Institutions report up to 70% operational efficiency gains, especially in high-volume environments.
- Simulation Sandbox and Scenario Design Studio
Users can test and deploy new detection logic using the sandbox environment, powered by real-time feedback loops and access to industry-shared typologies via the AFC Ecosystem. This shortens response time to new threats and improves first-time accuracy.
Highlights
Highlighted by the publisher on AWS Marketplace.
90% reduction in false positives, lowering operational cost.
95%+ detection accuracy to ensure regulatory audit readiness.
50% faster onboarding of new fraud/AML scenarios.
Agent build and provenance
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Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
Refunds are reviewed on a case by case basis and may be issued if the product was not provisioned due to a technical issue on Tookitaki side and has not been used.
Sources
Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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