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Maze is a technology company.
Maze develops a robust user research and testing platform, streamlining product discovery and validation. It empowers product teams and researchers to conduct efficient usability testing and continuous product discovery. The platform incorporates research-grade AI, providing scalable, versatile solutions enabling organizations to gather crucial insights for customer-centric product development.
Co-founded in 2018 by CEO Jonathan Widawski and Thomas Mary, Maze originated from identifying inefficiencies in traditional user research. Widawski previously founded Pingg; Mary contributed experience from Ausy. Their foundational insight centered on building a platform to simplify rapid testing and validation of product ideas, accelerating informed decision-making.
Serving product teams, designers, and researchers, Maze enables companies to integrate user feedback seamlessly into development cycles. The company's vision is to redefine product discovery, elevating user research into a central strategic asset. This ensures products are genuinely effective and resonate deeply with target users.
Maze has raised $90.5M across 7 funding rounds.
Key people at Maze.
Maze has raised $90.5M in total across 7 funding rounds.
Maze has raised $90.5M in total across 7 funding rounds.
Maze's investors include Theory Ventures, Matrix Partners India, Anandamoy Roychowdhary, Cherry Ventures, Tapestry VC, Kevin Hartz, Andreessen Horowitz, Battery Ventures, Fifth Wall, General Catalyst, Hoxton Ventures, Inventus Capital Partners.
Maze is a London-based user research platform founded in 2018 that accelerates product development by enabling rapid user insights through tools like prototype testing, surveys, card sorting, tree testing, usability studies, and live website testing.[1][2] It serves product designers, product managers, user researchers, and teams in sectors including financial services, insurance, tech/software, and agencies, solving the problem of gathering actionable qualitative and quantitative feedback efficiently to validate ideas and drive data-driven decisions.[1][2] Maze integrates every research method and stage into one hub, with AI-powered features for themes, transcripts, automated reports, and instant access to a 6 million+ participant panel, allowing teams from startups to enterprises to conduct autonomous research and influence decisions faster.[2]
The platform stands out for its end-to-end capabilities, from effortless participant recruitment to embeddable results and secure, GDPR-compliant data handling via AWS, fostering collaboration across teams.[2]
Maze was founded in 2018 in London, UK, though specific founder names and detailed backstories are not detailed in available sources.[1] It emerged amid the growing demand for agile product development tools, quickly gaining traction as a streamlined alternative to fragmented user testing methods.[1][2] A pivotal moment came in 2022 when Maze raised $40M from prominent investors including HubSpot, Atlassian, Zoom, and Emergence Capital, validating its rapid insights model and positioning it against competitors like UserZoom, UserTesting, Airkit, and User Interviews.[1] This funding fueled expansion of its all-in-one platform, emphasizing AI-driven analysis and multi-method research to keep pace with fast-changing product cycles.[1][2]
Maze rides the wave of AI-augmented product development and continuous user research, where teams must iterate at the "pace of change" in agile environments, influenced by remote work, rapid prototyping tools, and data-driven design mandates.[2] Timing is ideal post-2022 funding amid UX maturity in tech, fintech, and e-commerce, where market forces like shorter product cycles and customer-centric mandates favor platforms reducing research silos.[1][2] By democratizing insights—empowering broader teams beyond specialists—Maze influences the ecosystem, boosting startup velocity and enterprise agility, much like how Figma transformed design collaboration.[1]
Maze is poised to dominate unified user research as AI evolves to handle more predictive analytics and multimodal data (e.g., video+behavioral synthesis), potentially expanding into predictive UX modeling or enterprise integrations with tools like Figma/Slack.[2] Trends like zero-party data mandates and real-time feedback loops will amplify its momentum, especially with global scaling via its participant panel. Its influence may grow by shaping "research ops" as a standard, turning siloed insights into ecosystem-wide product excellence—cementing Maze as the go-to for teams racing to outpace change.[1][2]
Key people at Maze.
Maze has raised $90.5M across 7 funding rounds. Most recently, it raised $25.0M Series A in June 2025.