Knit is an AI-Native Research Agency, we’ve built an AI-native platform driven by research experts that takes teams from scoping to stakeholder-ready report in a week or less. Unlike DIY survey tools or standalone AI qual platforms, Knit combines quantitative and qualitative research in a single study — with expert researchers grounding the AI in sound methodology and bringing business context to every project from day one.

Most AI research tools hand you outputs and walk away. Knit works differently: we handle the full research workflow end-to-end, from scoping to final recommendations, driven by your dedicated Knit researcher. Share past research, brand guidelines, or example reports, and the AI incorporates that context across every output. Agency-quality reports are delivered with charts, headlines, video showreels, and key takeaways exportable to PowerPoint or Google Slides. Every AI-generated insight includes a Knit Rationale showing how the data was interpreted, so teams can confidently stand behind the work with stakeholders.

Key capabilities:

• Scoping & Context Collection — Knit’s scoping agent and research context library grounds every project and deliverable in your business context

• Quant + Qual in one study — combine survey data with VOC video responses and AI-moderated video questions in a single project

• Brief to questionnaire in minutes — AI drafts mixed-method questionnaires including quant, qual video, and AI-moderated video questions; researcher collaborates to finalize

• Automated analysis across quant and qual — key cuts, charts, themes, sub-themes, and video summaries guided by a Knit-generated analysis plan; every insight cited and sourced

• Decision-ready reports — fully structured, branded reports ready for stakeholder presentation; export to PowerPoint or Google Slides

• AI Contextual Analysis™ — proprietary technology that evaluates open-ended responses and video transcripts for nuance, relevance, and quality

• Data Explorer — self-serve analysis for custom cohorts, cuts, and filters, with on-demand AI querying

• 65M+ vetted respondents across 50+ languages and 50+ markets, including COPPA-compliant youth audiences (ages 5–13)

• Multi-layer data quality — three-stage validation (pre-, in-, and post-survey) combining AI review and human QA to ensure high quality data

• Dedicated research team included — every project includes access to expert researchers for study design, methodology, and insight delivery at no extra cost

• Enterprise-grade security — SOC 2 compliant, GDPR compliant, ISO 27001 aligned, HIPAA compliant, COPPA compliant

Why teams choose Knit:

• Agency quality. Platform speed. Fraction of the cost. What used to take months and cost hundreds of thousands now takes a week and fits your budget — with no tradeoffs on rigor.

• Depth and scale together. Quant numbers connected to qual “why” in a single study — no stitching tools together to get the full picture.

• Outputs that reflect research expertise. Researchers learn your business, your stakeholders, and your key decision drivers. AI analysis is anchored to context captured during scoping, so what comes back is defensible and actionable, not generic.

• Research that stays with you. Past studies, methodologies, and business context don’t disappear between projects. Knit builds on how you work so every study starts smarter than the last.

Knit is used by enterprise insights teams at Amazon, Mars Wrigley, ESPN, T-Mobile, Paramount, NASCAR, JBL, YouTube, Walmart, Nickelodeon, and Foot Locker, among others. Available as an annual subscription with a respondent bank, or on a project-by-project basis.

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