AI-Powered Fraud Detection That Learns and Adapts

Detect complex fraud patterns using device data, behavioral signals, and community-sourced typologies — all integrated seamlessly with your existing systems.

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Helping Compliance and Fraud Teams Do More With Less

50%+ Reduction in Fraud Alert Volume

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60% Reduction in False Positives

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Faster Onboarding of New Scenarios

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50%+ Reduction in Fraud Alert Volume

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60% Reduction in False Positives

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Faster Onboarding of New Scenarios

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Designed to Detect Complex Fraud With Context

Tookitaki’s Smart Screening module combines advanced AI with real-time architecture to deliver faster, more accurate compliance decisions without the manual overhead.

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Behavioral Biometrics & Device Profiling
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Typology-Based Detection Engine
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Flexible SDK Integration
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Fraud Scenario Segmentation
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Centralized Alert Management
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Federated AI with AFC Ecosystem

Smarter Fraud Detection for a Safer
Financial Ecosystem

Tookitaki helps institutions detect suspicious behaviors early, reduce false positives, 
and gain context-rich alerts — powered by federated AI and device intelligence.

Hard-to-Detect Behaviors?

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Identify high-risk patterns like account takeovers, money mules, or multi-device access

Alert Fatigue?

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Cut through the noise with prioritized, contextual alerts — reducing false positives and speeding up investigations.

Slow to Adapt?

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Deploy new fraud typologies without long dev cycles using Tookitaki’s AFC Ecosystem.

Hard-to-Detect Behaviors?

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Identify high-risk patterns like account takeovers, money mules, or multi-device access

Alert Fatigue?

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Cut through the noise with prioritized, contextual alerts — reducing false positives and speeding up investigations.

Slow to Adapt?

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Deploy new fraud typologies without long dev cycles using Tookitaki’s AFC Ecosystem.

Why Tookitaki Is Different in Fraud Detection

Most systems rely on static rules. Tookitaki learns from shared intelligence, adapts to your context, and delivers high-quality alerts with full transparency.

Community-Sourced Scenarios via AFC Ecosystem

Gain access to evolving fraud typologies from other FIs without data sharing.

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Multi-Layered Behavioral Risk Modeling

Device, profile, and transaction behavior combine to score alerts more accurately.

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Explainable AI Alerts

Each alert is backed with clear logic, risk factors, and supporting data — helping investigators act fast.

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Flexible Deployment

Integrate via APIs or SDK, hosted on Tookitaki-managed cloud or your infrastructure.

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No-Code Scenario Deployment

Launch new fraud patterns in hours, not weeks — without depending on engineering

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Partners who have trusted Us

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partner-logoSystronics logopartner-logopartner-logopartner-logopartner-logopartner-logopartner-logo
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Trusted by Industry Leaders

Discover detailed insights into our technology, real-world use cases, and customer success stories.

Compliance Office of a Singapore Bank​

The area of AML requires constant vigilance and continual enhancement. The use of RegTech such as Tookitaki’s FinCense enables us to augment our ability to identify actionable alerts and minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.

View case study

50%

Reduction in false positives

~45%

Reduction in overall compliance cost

Digital Bank Client

For a new business like ours, Tookitaki's FinCense has been a perfect partner to help us effectively manage our compliance needs.

View case study

100%

Risk coverage for transactions

50%

Reduction in time to onboard to new scenario

Payment Services Client

FinCense's ability to detect AML and fraud risk accurately in real time allows us to maintain the performance of the system at scale. It has been a game-changer for us.

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70%

Reduction in effort on threshold tuning and scenario testing

90%

Reduction in false positives

E-Wallet Client

Tookitaki helped us simplify our compliance operations by providing us with a single platform that effectively manages all fraud and AML processes.

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90%

Accuracy in high-quality alerts

50%

Reduction in time to onboard to new scenario

Our Thought Leadership Guides

FinCrime Reports

Powering the Next-Gen of AML Technology with AI

This Tookitaki report elucidates how our solution complements the existing rules-driven primary system for easy operationalisation.Download our whitepaper to understand:The challenges arising from incremental adjustments to existing systems and current alerts management processesThe criticality of smart alert management to augment efficiency and effectiveness in AML processesThe framework to operationalize an AI-driven transaction monitoring solution into existing financial crime prevention ecosystemsUse cases to validate the productivity gains and returns FIs have garnered when the solution was deployed in productionThe example of a Tier-1 bank that saved over US$1 million through enhanced productivity in the alert management process.

Powering the Next-Gen of AML Technology with AI
FinCrime Reports

The Paypers Financial Crime and Fraud Report 2023

The Paypers Financial Crime and Fraud Report 2023This report, brought to you by The Paypers, gathers the brightest minds in the industry to explore challenges, opportunities, and best practices in combating financial crime and fraud.Within the report, Tookitaki Founder and CEO Abhishek Chatterjee explains the trends he has spotted permeating the financial crime landscape in South-East Asia in the last 12 months. He also reveals how Tookitaki’s two innovative platforms i.e., AFC Ecosystem and AML Suite, are revolutionising the fight against fincrime by promoting a collaborative, community-based approach to prevention.

The Paypers Financial Crime and Fraud Report 2023
FinCrime Reports

The Role of Anti-Money Laundering Software in AML Compliance

The Role of Anti-Money Laundering Software in AML ComplianceAn anti-money laundering software (AML software) is a technology solution that helps financial institutions and other regulated entities to prevent, detect and report money laundering and related crimes in compliance with the requirements of regulators.Financial institutions use anti-money laundering software solutions as part of a broader AML compliance programme. These solutions are implemented taking into account each financial institution’s unique AML risk profile. Anti-money laundering software solutions are valuable tools for institutions worldwide in the fight against financial crime as they facilitate faster and more accurate compliance and investigations.AML tools help financial institutions implement their AML programmes, which involve many diverse processes. The processes ensure that a customer’s profile and financial behaviour are not against the AML laws of the land. Broadly, AML software solutions increase the effectiveness and efficiency of these processes.AML software solutions help financial institutions to stop doing business with high-risk people and entities, prevent or detect suspicious activities in their platforms, reduce false positives in workflows and assist in reporting suspicious activities and transactions.

The Role of Anti-Money Laundering Software in AML Compliance