Knit

Knit operates as an AI-native market research agency serving enterprise consumer insights teams. It combines forward-deployed human researchers with automated research agents that carry a study through the full workflow: scoping and context collection, survey creation, sampling and fielding, analysis, and reporting. A distinguishing element of its approach is combining quantitative survey data with video-based qualitative input, including AI-moderated video questions, within a single study.

Each engagement begins with a scoping flow capturing the client's objectives, audience, and business context, from which the system generates a research brief defining audience, objectives, hypotheses, and deliverable expectations. Clients can upload prior research, brand guidelines, and example reports into a Research Context Library that informs subsequent outputs. AI drafts a questionnaire that a dedicated researcher finalizes with the client in a collaborative document editor, after which the survey can be programmed and launched the following day. Following fielding, the platform analyzes quant and qual data together against a generated analysis plan, producing key cuts, charts, themes, sub-themes, and video summaries with citations, and assembles a structured, branded report exportable to PowerPoint or Google Slides.

Business model

Knit sells research projects and platform-delivered studies to enterprise insights teams, positioning its pricing below traditional research agencies while providing researcher support alongside automated execution.

Traction

The website features case studies with Timex (validating a multi-season product roadmap in six weeks), Mars Wrigley, and NASCAR, plus testimonials from research leaders at Amazon Devices and other consumer brands, and cites access to a global panel of more than 65 million vetted respondents.