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Maik Taro Wehmeyer

Maik Taro Wehmeyer is the co-founder and chief executive of Taktile, a New York and Berlin-based company that builds decisioning software used by banks, insurers, and fintechs to automate credit, fraud, and know-your-customer decisions [1]. He traces his interest in the field to graduate work in mathematical optimization and statistics at Harvard, which led him into machine learning around 2016, and to a subsequent stint at QuantCo, where he and fellow graduate students applied statistical models to underwriting and claims problems for banks and insurers rather than pursue a more conventional path such as the management consulting internships he had done at BCG and McKinsey [3]. That experience, he has said, exposed two structural problems that motivated Taktile's founding: large financial institutions lacked the technical infrastructure to run modern decisioning systems built on rules, heuristics, and machine-learning models, and the "lending IP" created for a bank by outside teams raised unresolved questions of ownership, which Taktile's platform was designed to let banks and fintechs build and control themselves [3].

Taktile was founded in 2020, raising its pre-seed round the same week the stock market fell more than thirty percent at the onset of the COVID-19 pandemic, a period in which investors warned the founders that fundraising would be difficult for years [3]. The company nonetheless secured funding and joined Y Combinator's program in San Francisco, though a pandemic-era travel ban prevented the team from entering the United States, forcing them to build product teams instead in Berlin, London, and Romania while still serving US customers remotely [3][4]. Wehmeyer has described the early period as operationally taxing, including a night spent monitoring the go-live of Taktile's first customer, the microlender Branch, from Berlin at 2 a.m. local time [3]. He later relocated to New York himself, reasoning that because the United States, with roughly eight thousand banks, represents the company's largest market, the chief executive needed to be based there to support the sales effort directly [4].

On the substance of Taktile's product, Wehmeyer frames decisioning as covering every point in a financial institution's customer journey where a risk judgment is made, from fraud and KYC checks at account opening to ongoing credit and anti-money-laundering checks, arguing that combining machine intelligence with human review lowers fraud and increases automation rates [4]. He has argued that introducing artificial intelligence into these regulated workflows is complicated by the probabilistic nature of machine-learning outputs, which regulators are wary of, and that Taktile addresses this by blending AI models with deterministic rule sets to give regulators comfort as adoption proceeds gradually [4]. He has also said that selling into financial services is heavily relationship- and trust-based, citing a deal in which a bank chief executive told him he would win the business simply because the executive trusted him personally [4]. According to Wehmeyer, it took three years after founding the company to sign its first customer, a timeline he contrasts with venture investors' typical expectation of revenue within six to twelve months, and he has noted that of the first hundred pitches made to banks, only one resulted in a signed deal, though he says Taktile has not lost a customer since gaining early traction [4].

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