Knit, an AI-powered platform revolutionizing enterprise consumer research, has secured $16.1 million in Series A funding, bringing its total funding to over $30 million. Announced on July 31, 2025, this round, led by GFT Ventures and Sound Ventures, underscores Knit’s momentum in delivering real-time, researcher-driven insights to major brands like Amazon, NASCAR, and Mars Wrigley.
Knit raises $16.1M in Series A, totaling over $30M in funding.
Led by GFT Ventures and Ashton Kutcher’s Sound Ventures.
Serves over 60 enterprise brands, including Amazon and NASCAR.
Combines AI and human expertise for rapid, high-quality insights.
Funds to enhance AI features and expand global research capabilities.
Achieved 5X year-over-year growth in 2025.
The $16.1 million Series A round, led by GFT Ventures and Sound Ventures, with participation from Silicon Road Ventures, Osage Ventures, Rise of the Rest, and angel investors like David Kirk (former NVIDIA Chief Scientist) and Gokul Rajaram, will accelerate Knit’s product development. The focus is on new AI-powered features and expanding research use cases to meet market demands. Knit also plans to scale its go-to-market and research teams to support its growing enterprise customer base and enhance international research capabilities. “Enterprise research is a massive market that’s ripe for AI disruption,” said Jeff Herbst, Founding Managing Partner at GFT Ventures.
Knit’s platform combines generative AI with human expertise to deliver “report-ready” insights in days, addressing the limitations of traditional market research agencies, which are often slow and costly, and purely AI-driven tools that lack depth. “Today’s enterprise researchers are being asked to do more with less,” said Aneesh Dhawan, Co-Founder and CEO of Knit. “Knit empowers them to deliver fast, cost-efficient insights without sacrificing quality or control.” Knit’s researchers work closely with clients to embed context into the platform, enabling tailored outputs for use cases like rapid concept testing and customer segmentation.
Knit has seen 5X year-over-year growth in 2025, onboarding over 60 enterprise brands, including Amazon, NASCAR, Mars Wrigley, and Overtime. “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,” said Brooks Deaton, VP, Data & Insights at NASCAR. The platform’s ability to enable more studies without additional headcount has driven its adoption among Fortune 500 companies.
Knit’s unique human-AI hybrid approach has earned trust from investors like Sound Ventures, which also backs OpenAI and Anthropic. “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,” said Alexandra Burbey, Investor at Sound Ventures. Knit’s platform ensures high-quality insights while maintaining the nuance and context critical to enterprise decision-making, positioning it as a leader in the AI-driven research market.
The funding will bolster Knit’s in-house research team to ensure every client is paired with a skilled researcher, enhancing the quality and consistency of insights. Knit’s recent presentations with Mars Wrigley at the Corporate Research Conference and planned sessions with T-Mobile at The Market Research Event in October 2024 highlight its growing industry influence. The company aims to further democratize agency-level research, enabling brands to make faster, data-driven decisions globally.
Knit’s $16.1 million Series A funding marks a pivotal moment in its mission to redefine enterprise consumer research. By blending AI efficiency with human expertise, Knit empowers brands to uncover actionable insights quickly, driving smarter decisions and solidifying its leadership in the AI-powered research landscape.
Knit is the end-to-end, AI-native platform transforming how enterprises conduct consumer research. Built for speed and substance, Knit enables teams to run agency-quality quantitative and qualitative studies faster and receive report-ready insights in days. The platform's Researcher-Driven AI model automates time-intensive tasks including analysis, synthesis, and reporting, while preserving the depth, rigor, and context that come from human insight and experience. By combining the power of AI with human expertise, Knit helps teams uncover sharper insights and drive faster, more confident decisions. The company is backed by GFT Ventures, Sound Ventures, Osage, Rise of the Rest, and Silicon Road Ventures.
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