Knit is an AI-Native Research Agency that delivers end-to-end quant and qual consumer insights through its Researcher-Driven AI platform. Unlike traditional AI research tools that automate outputs and step away, Knit pairs forward-deployed researchers with autonomous AI agents to handle the entire research process — from scoping and survey creation to fielding, analysis, and reporting — in a single integrated workflow. Every project begins with a structured scoping flow that captures business context, objectives, and audience details, which the AI uses to generate a Research Brief. Within minutes, the AI drafts mixed-method questionnaires including quantitative, qualitative video, and AI-moderated video questions. Knit connects brands to a global panel of 65M+ vetted respondents or supports bring-your-own audience fielding. Once fielding closes, Knit's AI automatically analyzes quant and qual data together, producing charts, themes, sub-themes, and video summaries. The platform then generates a fully structured, branded, decision-ready report exportable to PowerPoint or Google Slides. With AiDOOS, organizations can accelerate deployment and adoption of Knit by leveraging on-demand research and technology talent to integrate the platform into existing insights workflows, customize AI configurations, and scale research operations without expanding headcount.
Challenges It Solves
Traditional research takes weeks and is often outdated by the time it reaches decision-makers
Running combined quantitative and qualitative research requires significant time, cost, and agency coordination
AI-only research tools produce outputs that still require heavy rework from researchers before they are decision-ready
Insights teams face increasing pressure to deliver faster, leaner research without sacrificing quality or rigor
Use Cases
Product & Feature Validation
Tech and product teams use Knit to quickly validate product concepts, features, UI elements, and icons before launch through rapid quant and qual studies.
Brand & Consumer Understanding
Brand teams leverage Knit to run foundational research on consumer behavior, preferences, and engagement patterns across markets to inform strategy.
Concept Testing
Insights teams run concept testing studies combining survey data with video responses to understand consumer reactions before investing in new initiatives.
Market & Category Entry Research
Organizations use Knit to conduct competitive analysis and category deep dives when entering new verticals or understanding shifting market dynamics.
Pricing
Custom pricing — built for your team
Knit pricing is tailored to your organisation's size, integrations, and requirements. AiDOOS will scope and deliver a free proposal in 24 hours.
Forward-deployed researchers guide AI from project start to ensure every output is methodologically sound and business-relevant
AI-Powered Survey Creation
Generates mixed-method questionnaires including quant, qual video, and AI-moderated video questions in minutes from a Research Brief
Global Panel & Fielding
Access to 65M+ vetted global respondents or bring-your-own audience, with Knit managing fielding and status updates
Automated Quant + Qual Analysis
AI analyzes quantitative and qualitative video data together, producing charts, themes, sub-themes, and video summaries automatically
Decision-Ready Reporting
Generates fully structured, branded reports with charts, headlines, and key takeaways immediately after fielding closes, exportable to PowerPoint or Google Slides
Research Context Library
Stores past research, brand guidelines, and report examples so every new study reflects the brand's unique business context
What Reviewers Say
What works well
Combines quant and qual research in a single study, reducing the need for separate research efforts
Delivers decision-ready reports within days rather than weeks compared to traditional research agencies
Researcher-Driven AI ensures methodology quality from the start, not just at the review stage
Access to a large global panel of 65M+ vetted respondents enables fast and broad audience recruitment
Common concerns
Pricing is not publicly listed, making it difficult for teams to evaluate cost without engaging sales
Platform is positioned primarily for enterprise and mid-to-large brands, which may limit accessibility for smaller research teams
Reviews
💬
No reviews yet for Knit
AiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Reviewer Demographics
Top Industries
Enterprise Readiness
Identity & Access
SSO✗ Not supported
RBAC✗
Audit Logs✗
Data Security
At restAES-256
In transitTLS 1.2+
Key mgmtVendor-managed
SLA & Availability
Uptime SLA99.9%
RPO—
RTO—
Pen test—
Compliance & Portability
Data residency—
Data export✓ PowerPoint, Google Slides
Right to erasure✗
AI Details
Agent Type
Automation
None
Models Used
Agentic Capabilities
Automated research brief generation from project context AI-drafted questionnaire creation including quant and qual video questions Automated quant and qual data analysis AI-generated structured research reports AI-moderated video question interviews
Human-in-the-Loop
✗ Not supported
Integrations
PP
PowerPoint
Export research reports and insights directly to PowerPoint for sharing with stakeholders.
Native< 1 hour
GS
Google Slides
Export research reports and insights directly to Google Slides for sharing and collaboration.
Native< 1 hour
Governance & Compliance
EU AI Act
Classification: None
Data Processing Agreement
None DPA available
Sub-processors
Not disclosed
Right to Erasure
✗ Not supported
Change Notifications
None
NIST AI RMF
Not assessed
AiDOOS Managed Deployment
Deploy Knit in 72 hours
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
12
Deployments
94%
Adoption rate
4.8/5
Post-deploy sat.
2-4 weeks
Time to value
Prerequisites
Active Knit account with enterprise or team plan
Defined research objectives and target audience for initial projects
SSO or user authentication setup for team access
Agreement on panel source (own audience or Knit's 65M+ respondent panel)
Configuration Options
Research Context Library setup with brand guidelines and past research
Custom audience and respondent panel configuration
Report branding and template customization
Export format preferences (PowerPoint or Google Slides)
Often Deployed With
Common Setup Issues (& how AiDOOS handles them)
How Knit Compares
Product
AI & Analytics
Ease of Use
Enterprise Features
Pricing
Integrations
Mobile Experience
Quick Setup
Customer Support
Rating
Price/mo
K
Knit This product
Excellent
Good
Good
Fair
Fair
Fair
Good
Excellent
—
$Custom/user
Qu
Qualtrics
Good
Good
Excellent
Poor
Excellent
Good
Fair
Good
★ None
$None/user
SM
SurveyMonkey
Fair
Excellent
Fair
Good
Good
Good
Excellent
Fair
★ None
$None/user
UT
UserTesting
Good
Good
Good
Poor
Good
Fair
Fair
Good
★ None
$None/user
Frequently Asked Questions
What makes Knit different from traditional market research agencies?
Knit is an AI-native research agency that combines forward-deployed human researchers with autonomous AI agents to deliver decision-ready insights in days rather than weeks. Unlike traditional agencies, Knit's researchers guide the AI from the start — shaping methodology, questionnaire design, and analysis — so the final output requires minimal rework and is ready to share immediately after fielding closes.
How large is Knit's respondent panel, and can I use my own audience?
Knit provides access to a global panel of 65M+ vetted respondents. Clients also have the option to bring their own audience if they prefer to field surveys among a specific customer base or proprietary list.
Does Knit support both quantitative and qualitative research in a single study?
Yes. Knit is purpose-built to combine quant and qual — including AI-moderated video questions — within a single study. The platform automatically analyzes both data streams together, generating charts, themes, sub-themes, and video summaries in a unified report.
What formats can I export Knit research reports in?
Knit generates fully structured, branded reports that can be exported to PowerPoint or Google Slides, making it straightforward to share findings with stakeholders without additional formatting work.
How fast can Knit deliver research insights from project kickoff?
Knit is designed to move from scoping to a decision-ready report within approximately one week or less. After the research brief and questionnaire are finalized, surveys can be programmed and launched the next day, with analysis and reporting completed automatically once fielding closes.
What is the Research Context Library and how does it improve research quality?
The Research Context Library allows clients to upload past research, brand guidelines, and example reports. Knit's AI references this context in every study, ensuring outputs are aligned with the brand's unique business context rather than generating generic survey outputs.