Smarter Screening, Sharper Compliance
Real-time, AI-powered name and payment screening that reduces false positives, accelerates investigations, and ensures compliance all in one platform.
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Proven Results. Trusted by Leaders.
90%+ Reduction in False Positives
60% Faster Alert Resolution Time
24/7 Real-Time Screening at Scale
90%+ Reduction in False Positives
60% Faster Alert Resolution Time
24/7 Real-Time Screening at Scale
Built for Precision. Designed for Scale.
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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Screen Smarter. Act Faster. Stay Compliant.
Tookitaki’s AI-powered screening slashes false positives, speeds up investigations, and keeps your compliance teams ahead of risk.
Cut Through the Noise
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Reduce false positives by up to 90% with AI-native matching that understands names, addresses, and entities in 25+ languages and scripts no more alert overload.
Accelerate Compliance Decisions
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Surface high-quality, explainable alerts with contextual insights, so your teams can investigate faster and file smarter.
Stay Ahead of Evolving Risks
Continuously updated with global watchlists and typologies via our AFC Ecosystem ensuring your defenses adapt as threats evolve.
Cut Through the Noise
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Reduce false positives by up to 90% with AI-native matching that understands names, addresses, and entities in 25+ languages and scripts no more alert overload.
Accelerate Compliance Decisions
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Surface high-quality, explainable alerts with contextual insights, so your teams can investigate faster and file smarter.
Stay Ahead of Evolving Risks
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Continuously updated with global watchlists and typologies via our AFC Ecosystem ensuring your defenses adapt as threats evolve.
What Makes Our Screening Smarter
Purpose-built to solve the toughest screening challenges from complex name variations to evolving regulatory demands Tookitaki’s Screening module delivers accuracy, transparency, and adaptability at scale.
AI That Understands, Not Just Matches
Text-native matching powered by AI captures phonetics, nicknames, spelling variations, and formatting reducing false positives by up to 90%.
Explainability at Its Core
Glass-box alerts show investigators why something matched with supporting details across all customer attributes, boosting confidence and audit readiness.
Cross-Language, Cross-Script Capability
Supports 25+ languages and 10+ scripts without transliteration making it ideal for global institutions screening diverse customer bases.
Segmentation for Precision
Apply different matching rules and thresholds to individual vs corporate customers reducing unnecessary noise and improving alert quality.
Partners Who Trust Us
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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.
50%
~45%
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.
100%
50%
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.
70%
90%
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.
90%
50%
Our Thought Leadership Guides
H1 2026 FinCrime Landscape Report | Malaysia
The H1 2026 Financial Crime Landscape in Malaysia report examines two major financial crime threats: money mule networks and account takeover attacks. It highlights how criminal syndicates are exploiting digital onboarding, instant payment rails, e-wallets, SIM-swap fraud, compromised credentials, and corporate payment platforms to move illicit funds quickly across institutions and channels.
Developed by experts from the AFC Ecosystem, the report presents practical scenarios, transaction-level red flags, KYC/CDD risk indicators, and key recommendations for financial institutions. It also underlines the need for stronger behavioural detection, cross-channel visibility, enhanced authentication, and faster controls to identify coordinated criminal activity before funds are fragmented and dispersed.
Download the report to explore the full scenarios, red flags, and recommendations for strengthening financial crime controls in Malaysia.
Q2 2026 FinCrime Landscape Report | ANZ
Financial crime across Australia and New Zealand is becoming harder to detect as illicit activity increasingly blends into ordinary financial behaviour and moves across fragmented digital and cross-border financial channels.
This report focuses on two key themes shaping the ANZ financial crime landscape in Q2 2026: online sexual exploitation of children (OSEC)-related financial flows and cross-border transaction laundering. These typologies exploit low-value remittances, digital banks, e-wallets, payment gateways, shell corporations, correspondent banking relationships, and fraudulent non-profit organisations to disguise the movement and origin of illicit funds.
Inside the report, you will find practical scenarios, transaction-level red flags, KYC/CDD indicators, and recommendations to help financial institutions identify behavioural patterns, strengthen due diligence, improve cross-border monitoring, and move beyond isolated rule-based alerts towards connected, pattern-based intelligence.
Download the report to explore the emerging financial crime scenarios shaping Australia and New Zealand in Q2 2026.
H1 2026 FinCrime Landscape Report | Philippines
The H1 2026 Financial Crime Landscape in the Philippines report examines two major cyber-enabled financial crime threats: money mule networks and romance scams. It highlights how fraud syndicates are exploiting digital onboarding, instant payment rails, e-wallets, shell companies, and social platforms to move illicit funds quickly across institutions.
Developed by experts from the AFC Ecosystem in collaboration with ABCOMP, the report presents practical scenarios, transaction-level red flags, KYC/CDD risk indicators, and key recommendations for financial institutions. It also underlines the importance of stronger behavioural detection, cross-institution collaboration, and faster response mechanisms to close visibility gaps in the fight against organised financial crime.
Download the report to explore the full scenarios, red flags, and recommendations for strengthening financial crime controls in the Philippines.
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H1 2026 FinCrime Landscape Report | Malaysia
The H1 2026 Financial Crime Landscape in Malaysia report examines two major financial crime threats: money mule networks and account takeover attacks. It highlights how criminal syndicates are exploiting digital onboarding, instant payment rails, e-wallets, SIM-swap fraud, compromised credentials, and corporate payment platforms to move illicit funds quickly across institutions and channels.
Developed by experts from the AFC Ecosystem, the report presents practical scenarios, transaction-level red flags, KYC/CDD risk indicators, and key recommendations for financial institutions. It also underlines the need for stronger behavioural detection, cross-channel visibility, enhanced authentication, and faster controls to identify coordinated criminal activity before funds are fragmented and dispersed.
Download the report to explore the full scenarios, red flags, and recommendations for strengthening financial crime controls in Malaysia.
Q2 2026 FinCrime Landscape Report | ANZ
Financial crime across Australia and New Zealand is becoming harder to detect as illicit activity increasingly blends into ordinary financial behaviour and moves across fragmented digital and cross-border financial channels.
This report focuses on two key themes shaping the ANZ financial crime landscape in Q2 2026: online sexual exploitation of children (OSEC)-related financial flows and cross-border transaction laundering. These typologies exploit low-value remittances, digital banks, e-wallets, payment gateways, shell corporations, correspondent banking relationships, and fraudulent non-profit organisations to disguise the movement and origin of illicit funds.
Inside the report, you will find practical scenarios, transaction-level red flags, KYC/CDD indicators, and recommendations to help financial institutions identify behavioural patterns, strengthen due diligence, improve cross-border monitoring, and move beyond isolated rule-based alerts towards connected, pattern-based intelligence.
Download the report to explore the emerging financial crime scenarios shaping Australia and New Zealand in Q2 2026.
H1 2026 FinCrime Landscape Report | Philippines
The H1 2026 Financial Crime Landscape in the Philippines report examines two major cyber-enabled financial crime threats: money mule networks and romance scams. It highlights how fraud syndicates are exploiting digital onboarding, instant payment rails, e-wallets, shell companies, and social platforms to move illicit funds quickly across institutions.
Developed by experts from the AFC Ecosystem in collaboration with ABCOMP, the report presents practical scenarios, transaction-level red flags, KYC/CDD risk indicators, and key recommendations for financial institutions. It also underlines the importance of stronger behavioural detection, cross-institution collaboration, and faster response mechanisms to close visibility gaps in the fight against organised financial crime.
Download the report to explore the full scenarios, red flags, and recommendations for strengthening financial crime controls in the Philippines.