Knit, an AI-based platform transforming how enterprises conduct consumer research, announced it has raised $16.1 million in Series A funding. The round was led by GFT Ventures and Ashton Kutcher’s Sound Ventures with continued participation from Silicon Road Ventures, Osage Ventures, Rise of the Rest, and others. Notable angel investors such as David Kirk, former Chief Scientist at NVIDIA, and Gokul Rajaram, founding partner of Marathon Management, also participated in this round.
Knit’s platform allows users to conduct custom research and get insights quickly, driven by AI and human expertise. Traditional research firms are often slow and expensive, while new AI tools may lack depth.
Knit combines human expertise and AI to deliver high-quality insights fast, helping teams run more studies and gain sharper insights. Over the past year, Knit has seen 5X growth and adoption by Fortune 500 brands like Amazon and Mars Wrigley, with backing from VC firms such as Sound Ventures.
How the funding will be used: The funding will support product development, new AI features, and expansion of research and international teams, including hiring more skilled researchers to ensure quality across projects.
KEY QUOTES:
“Today’s enterprise researchers are being asked to do more with less. Knit empowers them to deliver fast, cost-efficient insights without sacrificing quality or control. This funding accelerates our vision for a human + AI platform that makes research accessible, contextual, and decision-ready.”
Aneesh Dhawan, Co-Founder and CEO of Knit
“Enterprise research is a massive market that’s ripe for AI disruption. Knit has built technology that truly meets the needs of modern research teams. Their traction with some of the world’s largest and most forward-thinking brands, standout team, and clear vision for where this market is headed position them to lead the new era of enterprise insights.”
Jeff Herbst, Founding Managing Partner at GFT Ventures
“Knit’s growth reflects its ability to redefine how brands understand their customers by combining the rigor of traditional research with the speed of AI. As AI becomes embedded in every workflow, Knit stands out by keeping human insight at the center.”
Alexandra Burbey, Investor at Sound Ventures
“We’ve always wanted to scale our research efforts, but doing that without losing control over quality or consistency felt impossible, until we started working with Knit. Now, we can run more studies, explore more ideas, and support more teams across the org, all without adding headcount. Knit gives us the flexibility to move fast while staying grounded in rigor.”
Brooks Deaton, VP, Data & Insights at NASCAR
