Knit Tech Stack

AI-native research platform combining surveys, analysis, and reporting

Market Research New York, NY 51–200 employees Founded 2022 Privately Held

Knit operates an AI-driven market research platform positioned between DIY tools and traditional agencies. The tech stack—Python, FastAPI, React, Next.js, Kubernetes, plus Qualtrics and SPSS—reflects a hybrid approach: custom ML orchestration (core agent engine under active development) layered over established research infrastructure. Heavy sales hiring (8 roles) paired with just 2 engineering openings signals a sales-led growth phase, while the pain-point cluster around enterprise scaling and GTM maturation suggests the platform is transitioning from founder-led wins to repeatable enterprise motion.

Tech Stack 21 technologies

Core StackSalesforce HubSpot Python FastAPI React Next.js TypeScript Cursor JavaScript MongoDB AWS Redis Pinecone Docker Kubernetes Apollo LinkedIn Sales Navigator SPSS Qualtrics Justworks

AdoptingGPU

What Knit Is Building

◆Challenges

Scaling sales team
Maturing gtm motion
Scaling ai platform to enterprise customers
Low product usage
Reducing research time from weeks to days
Scaling outbound pipeline generation
Scaling revenue engine
Defining outreach strategy
Expanding enterprise partnerships
Enhancing client experience

▲Active Projects

Ai-native human‑in‑the‑loop ui
Experimentation platform
Product surface development
Scalable launch infrastructure
Evergreen enablement programs
Core agent orchestration engine
Sales process refinement
Enterprise client experience improvement
Outreach strategy definition
Account-based campaigns

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Sales

Engineering

Marketing

Product

Data

Research

Support

Seniority

Senior

Director

Manager

Junior

Lead

Staff

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About Knit

Knit is an AI-native research agency founded in 2022, headquartered in New York with 51–200 employees. The company delivers integrated quantitative and qualitative research studies, powered by researcher-driven AI, designed to compress traditional multi-week research cycles into a week or less. The core offering combines AI-generated surveys, automated analysis, and human-refined reporting to address consumer insights, concept testing, and market trends. The team operates across the United States, Canada, and India; active projects include agent orchestration engines, experimentation platforms, and enterprise client experience improvements.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2022

Hiring MarketsUnited States, Canada, India

Frequently Asked Questions

What tech stack does Knit use?

Knit's stack spans Python, FastAPI, React, Next.js, TypeScript, MongoDB, AWS, Kubernetes, and Docker for platform infrastructure, plus Qualtrics, SPSS, Salesforce, and HubSpot for research operations and CRM. The team recently began adopting GPU compute.

What is Knit working on?

Active projects include a core agent orchestration engine, human-in-the-loop UI, experimentation platform, scalable launch infrastructure, and enterprise client experience improvements. Sales process refinement and outreach strategy definition are also underway.

How this profile is built

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.