Miro Acquires Reforge to Combine AI Tools With Product Strategy Training
Miro, a collaborative workspace platform with 100 million users, is acquiring Reforge, an AI-focused training and product development platform. The deal combines Miro's design and planning tools with Reforge's structured frameworks and expert-led courses for product teams.
Reforge has trained over 100,000 product professionals and serves customers including Workday, Netflix, SAP and Mastercard. The company has moved beyond training into building AI-native tools: Reforge Insights aggregates customer feedback, Reforge Research powers AI-driven surveys, and Reforge Build enables rapid prototyping.
The Core Problem: What to Build, Not Just How to Build It Faster
Andrey Khusid, CEO of Miro, framed the acquisition around a specific bottleneck. "The biggest opportunity ahead isn't just moving faster - it's moving faster in the right direction," he said. "Teams need support in accelerating what to build and the decision-making during that critical phase of work."
Brian Balfour, Reforge's founder and CEO, identified the shift in what product teams now require. "A couple of years ago, we saw that AI was changing not just the tools product teams use, but the skills and judgment they need to succeed," Balfour said. "Teams that once relied on intuition and experience now need fluency in AI prototyping, evals and strategy."
Reforge built training and tools to close that gap. The acquisition lets both companies scale faster together than either could alone.
How the Combined Business Will Operate
Reforge Learning will continue operating as a separate entity at Reforge.com. The platform will keep investing in new courses and maintain vendor-neutral courseware.
Balfour joins Miro as Chief Growth Officer. Tom Willerer, Reforge's COO, becomes Chief Strategy Officer at Miro.
Miro operates across 14 offices globally with over 1,600 employees. It serves 250,000 customers. The acquisition reflects broader movement in the collaboration software sector as vendors position themselves for AI-assisted product workflows.
For product managers and development teams navigating AI adoption, resources like AI for Product Development and AI Learning Path for Product Managers cover strategy, decision-making frameworks and analytics tools relevant to this shift.
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