Mendel, Mexico-based B2B fintech, closes US$60M round

Mendel, a Mexican platform for companies to manage their expenses through virtual and physical credit cards, announced it has raised US$60 million. Through technology applied to finance, Mendel allows companies to control and allocate expenses for their teams. Their mission is to restore agility to large companies so that they can advance towards the digitization of their finances through tools that make their processes more efficient and increase the transparency of their payment flows.

More News

Next Article

Meta’s APAC government outreach, product marketing, and creative now impacted by layoffs

November 17, 2022

Meta’s layoff of 11,000 employees has impacted several departments in the Asia Pacific region. The employees from departments including politics and government outreach, content design, product marketing, creative strategy, learning and development, news partnerships, employer branding and recruitment marketing, and recruitment were impacted. These were a mix of local and regional roles, and it is unclear how many Asia Pacific employees in total have been impacted.

CDPI Emerging Markets
Previous Article

Dark Kitchens foodtech Muncher raises US$27M in Series B

November 17, 2022

Muncher, a chain of dark kitchens born in Colombia, announced the raise of a Series B for US$27 million. In announcing the round, the company communicated that it would seek to increase the 400 food businesses it operates, spread across 11 cities in Colombia, Peru, Mexico, and Brazil, emphasizing the latter two countries. The Colombian foodtech is looking for strategic locations to deploy its modular kitchens and digital sales technology, including smart menus, customer data management, and visual integration of all sales channels and business intelligence.

CDPI Emerging Markets
Featured Article

Meta Releases Lying, Offensive AI and Pretends to Be Surprised

November 23, 2022

Like trouble, bad behavior by Meta shows up whether you look for it or not.  The latest is an open-source language model that was supposed to provide reliable search results because it was trained on academic papers.  Alas, it was quickly withdrawn after reviewers found that it returned results that were grammatical and plausible but also incorrect, not to mention filled with “antisemitism, homophobia, and misogyny.”  How can this be a surprise?

CDPI Newsletter