Knit is an end-to-end, AI-native platform transforming how enterprises conduct consumer research by combining human researcher expertise with generative AI. The platform enables teams to run custom quantitative and qualitative studies and receive report-ready insights within days. Knit embeds customer context and researcher nuance into its models so AI outputs preserve depth and rigor while accelerating analysis, synthesis, and reporting. The company reports 5X year-over-year growth and serves more than 60 enterprise brands, including Amazon, NASCAR, Mars Wrigley, and Overtime. Knit has raised over $30M in total funding to date and uses its product to make research faster and more decision-ready. Future plans include accelerating product development with new AI-powered features, expanding research use cases, scaling go-to-market and research teams, and growing international research capabilities. Knit provides an end-to-end, AI-native platform that streamlines the consumer research process by marrying quantitative and qualitative data in the same survey. The product uses researcher-driven AI to take time-intensive tasks off researchers' plates and deliver stakeholder-ready reports faster. In the past year Knit has onboarded more than 30 enterprise brands, including T-Mobile, NASCAR, the WNBA, Mars Wrigley, Overtime, and JBL. The company reports that its annual recurring revenue grew 5X over the past year. Knit launched Report-Ready Insights — an offering that produces agency-quality quantitative and qualitative research at DIY costs. The company says its approach centers researcher expertise as the engine with AI as the navigator, enabling faster, more customizable research. Knit was founded in 2021 and is based in Austin, Texas.

Total raised

$25M

Funding rounds

2

Latest round

Series A

Latest activity

Jul 2025