Decision automation platform Taktile has raised $54m in a Series B funding round to enhance its artificial intelligence (AI)-powered risk decisioning capabilities for financial institutions and fintech companies.
The investment was led by Balderton Capital, with participation from existing investors, including Index Ventures, Tiger Global, Y Combinator, Prosus Ventures, Visionaries Club, and former US Treasury Secretary Larry Summers.
The latest round brings Taktile’s total funding to $79m.
Currently, Taktile operates in 24 markets, serving fintech firms such as Mercury, Kueski, and Zilch, alongside major financial institutions, including Allianz and Rakuten Bank.
The platform processes hundreds of millions of risk decisions each month, and the additional funding will support further expansion.
Taktile aims to equip business teams with tools to implement AI-driven risk management strategies across the customer lifecycle.
The company’s technology facilitates automated decision-making in areas such as credit underwriting, account opening, and transaction monitoring.
The adoption of AI in financial risk management has gained traction as institutions seek to improve efficiency while ensuring compliance.
Regulatory scrutiny of financial controls has intensified, with cases such as TD Bank’s recent $3.1bn settlement over anti-money laundering deficiencies highlighting the risks of inadequate oversight.
Founded by Maik Taro Wehmeyer and Maximilian Eber, Taktile provides a shared platform for risk teams and engineers to build, manage, and optimise AI-powered decision-making workflows.
The company’s technology enables businesses to transition from experimental AI use to full-scale implementation.
Wehmeyer said: “From day one of our journey, we believed that millions of lives could be improved by enabling organisations to make optimal decisions for their customers.
“By keeping experienced risk experts in control, we make it possible for even the most regulated businesses in financial services to fully adopt AI into high-stakes workflows.”
