AI-native research agency running combined quant and qual consumer studies
Knit pairs an AI research product with human researchers, built on Python, FastAPI and Next.js with Pinecone for vector retrieval and Qualtrics plus SPSS for survey execution. Hiring is accelerating and skews senior and director-level across sales, marketing, research and support, while job posts center on enterprise account retention, cross-sell and automating survey programming and feasibility workflows. That points to a land-and-expand push into large brands.
Knit is a New York-based research agency, founded in 2022, that uses AI to speed up consumer insights work for corporate insights teams. Its studies merge quantitative surveys and qualitative research, including video, into one project, with AI-generated questionnaires, automated analysis and editable reports reviewed by human researchers. Focus areas include consumer trends, concept testing and Gen Z and Millennial audiences. The privately held company has 51–200 employees and hires in the United States and India.
Knit's stack includes Python, FastAPI, React, Next.js, TypeScript, MongoDB, Redis, Pinecone, Docker, Kubernetes and AWS, with Qualtrics and SPSS for research and Salesforce and HubSpot for go-to-market.
Yes. Hiring is accelerating across marketing, research, sales and support, weighted toward senior and director-level roles, in the United States and India.
Knit is headquartered in New York, NY. It was founded in 2022 and has 51–200 employees.
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Knit's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.