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Partner Spotlight

Broadridge and Tookitaki

Pushing innovation with Artificial Intelligence.

Broadridge and Tookitaki

Tookitaki

About Tookitaki

Singapore-headquartered Tookitaki Holding Pte. Ltd. is a regulatory technology company providing an ecosystem of smart solutions that create sustainable compliance programs for the financial services industry. The company is innovating the regulatory compliance space by delivering a suite of smart solutions built on its core machine learning framework. The uniqueness and robustness of Tookitaki's innovation in the field of regulatory compliance have been acknowledged locally and worldwide. The company received accreditation@SGD in 2017; a rare-to-achieve recognition initiated by the Singapore government for SMEs. In addition, it was selected as a Technology Pioneer (2019 cohort) by the World Economic Forum, recognising our ability to shape the society in new and exciting ways. It also received Singapore's highest accolade for tech innovation, the SG:D Techblazer Awards in 2019. Tookitaki celebrates a culture of grit, innovation, and empathy, as it grew from an initial 5-member team to an 80-member strong global team with offices in Singapore, India, and the US in the last 4 years. The company is backed by renowned investors including Viola Group, SIG, Jungle Ventures and Spring Seeds, an investment arm of the Singapore government.

About the Partnership

In a development partnership with Tookitaki, Broadridge Data Control Intelligent Automation provides firms with the ability to optimise their reconciliation processes by adding a new layer of automation to an existing reconciliation landscape. The machine learning (ML) powered Break Management module accelerates the investigation and resolution process by automatically classifying breaks according to their business reason and providing the actions required to resolve the root cause of the problem at the source, reducing resolution times and human error inherent in the process. The self-learning matching engine automates reconciliation onboarding by analysing historic data and forming a “best-fit” matching scheme that improves continuously as it gains more data, saving significant time and cost for firms rolling out and managing large volumes of reconciliations.