Sustainable
compliance
is
possible
Tookitaki combines machine learning, distributed systems, and business expertise to create the building blocks of sustainable compliance management.
in
Our Powerful Solutions
Anti-Money Laundering Suite (AMLS)
An award-winning, end-to-end, machine learning solution with modules around transaction monitoring & names screening. This solution complements current legacy systems, reduces false alerts, and detects ‘missed’ suspicious cases, finding the right balance between efficiency and effectiveness.
Reconciliation Suite (RS)
A proven, end-to-end, machine learning solution with modules around matching and substantiation. It can improve match rates, accurately detect exception types and recommend adjustment amount for automatic reconciliation. Result: High efficiency and quality in investigation process and lower cost of operations.
A trusted partner of global banks for enabling sustainable compliance
Bala Swaminathan,
Advisory Board Member,
Westpac International
“The use of RegTech such as Tookitaki’s AMLS enables us to augment our ability to identify actionable alerts and to minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.”
Victor Ngo,
Head of Group Compliance,
United Overseas Bank, Singapore
“Machine learning has the ability to revolutionise the reconciliation space. Our engagement with Tookitaki dates back to May 2016, when we launched our Catalyst programme. Tookitaki is one of the few startups, with whom we collaborated to automate break reconciliation process in finance. The solution achieved promising results in production and helped bring in operational efficiency.”
Rathnaprabha Manickavachagam,
Head of Innovation & Digital Transformation,
Société Generale Global Solution Centre, India
“The whole world of compliance has changed significantly from where it was 5 years back, mostly seen as an audit function. It moved from what we call KYC (Know Your Customer) to Know Your Transactions due to critical need of monitoring transactions to detect organized criminal cells. Solutions like Tookitaki AMLS can effectively monitor transactions for detecting emerging AML threats and help banks develop a robust compliance framework.”
Bala Swaminathan,
Advisory Board Member,
Westpac International
“The use of RegTech such as Tookitaki’s AMLS enables us to augment our ability to identify actionable alerts and to minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.”
Victor Ngo,
Head of Group Compliance,
United Overseas Bank, Singapore
“Machine learning has the ability to revolutionise the reconciliation space. Our engagement with Tookitaki dates back to May 2016, when we launched our Catalyst programme. Tookitaki is one of the few startups, with whom we collaborated to automate break reconciliation process in finance. The solution achieved promising results in production and helped bring in operational efficiency.”
Rathnaprabha Manickavachagam,
Head of Innovation & Digital Transformation,
Société Generale Global Solution Centre, India
“The whole world of compliance has changed significantly from where it was 5 years back, mostly seen as an audit function. It moved from what we call KYC (Know Your Customer) to Know Your Transactions due to critical need of monitoring transactions to detect organized criminal cells. Solutions like Tookitaki AMLS can effectively monitor transactions for detecting emerging AML threats and help banks develop a robust compliance framework.”
Bala Swaminathan,
Advisory Board Member,
Westpac International
“The use of RegTech such as Tookitaki’s AMLS enables us to augment our ability to identify actionable alerts and to minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.”
Victor Ngo,
Head of Group Compliance,
United Overseas Bank, Singapore
“Machine learning has the ability to revolutionise the reconciliation space. Our engagement with Tookitaki dates back to May 2016, when we launched our Catalyst programme. Tookitaki is one of the few startups, with whom we collaborated to automate break reconciliation process in finance. The solution achieved promising results in production and helped bring in operational efficiency.”
Rathnaprabha Manickavachagam,
Head of Innovation & Digital Transformation,
Société Generale Global Solution Centre, India
“The whole world of compliance has changed significantly from where it was 5 years back, mostly seen as an audit function. It moved from what we call KYC (Know Your Customer) to Know Your Transactions due to critical need of monitoring transactions to detect organized criminal cells. Solutions like Tookitaki AMLS can effectively monitor transactions for detecting emerging AML threats and help banks develop a robust compliance framework.”
Bala Swaminathan,
Advisory Board Member,
Westpac International
“The use of RegTech such as Tookitaki’s AMLS enables us to augment our ability to identify actionable alerts and to minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.”
Victor Ngo,
Head of Group Compliance,
United Overseas Bank, Singapore
“Machine learning has the ability to revolutionise the reconciliation space. Our engagement with Tookitaki dates back to May 2016, when we launched our Catalyst programme. Tookitaki is one of the few startups, with whom we collaborated to automate break reconciliation process in finance. The solution achieved promising results in production and helped bring in operational efficiency.”
Rathnaprabha Manickavachagam,
Head of Innovation & Digital Transformation,
Société Generale Global Solution Centre, India
News & Views
Money Laundering Amid COVID-19: What Regulators Across Globe Say
As the world continues to fight against the COVID-19 pandemic, there are reports that criminals are taking advantage of the difficult situation. They are seizing the moment to proliferate their criminal activities, earn undue profits and transfer of ...
How will Art Cease to Be a Preferred Money Laundering Vehicle?
Money laundering via high-end art and antiquities is not new yet it is difficult to detect. Art-related money laundering amounts to about US$3 billion per year, according to this blog, quoting the United Nations Office on Drugs and Crime. Criminals o...
Beware! Money Mules in Demand amid COVID-19. Here’s an Effective Cure
If reports are to be believed, cybercrooks are taking advantage of the COVID-19 situation. They are targeting people who were laid off or working from home due to the pandemic to work for them as money mules. For those who are new to the term, money ...
