Knit Tech Stack

AI-powered consumer research platform delivering insights in days, not months

Market Research Austin, Texas 11–50 employees Founded 2015 Privately Held

Knit pairs AI-driven survey generation and automated analysis with human research expertise to compress consumer research cycles from weeks to days. The tech stack (React, Next.js, Python, FastAPI, MongoDB, Pinecone) supports an emerging AI-native UI and core agent orchestration engine, while active projects around data cleaning and experimentation platform signal a focus on automating research workflows at scale. Hiring skews heavily research (6 roles) with only 2 engineering positions open—typical of a research-forward company still building engineering from the ground up.

Tech Stack 13 technologies

Core StackReact Next.js Python FastAPI MongoDB AWS Redis Pinecone Docker Kubernetes Salesforce Qualtrics LinkedIn

What Knit Is Building

◆Challenges

Customer retention and upsells
Pilot to subscription conversions
Reducing programming errors
Scaling engineering team
Optimizing survey design
Retaining enterprise accounts
Renewal growth
Scaling sales pipeline to $100m arr
Optimizing pipeline health
Building engineering team from scratch

▲Active Projects

Data cleaning
Core agent orchestration engine
Experimentation platform
Ai‑native ui
Accelerating journey to $100m arr
Refining sales processes with meddic and spiced
Ai-native human-in-the-loop ui
Continuous innovation on knit's ai product
Customer research projects
Pilot to subscription conversions

Hiring Activity

Steady15 roles · 5 in 30d

Department

Research

Sales

Engineering

Marketing

Support

Seniority

Director

Senior

Manager

Mid

Lead

Staff

Notable leadership hires: Research Director

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About Knit

Knit combines quantitative and qualitative research into a single integrated study, delivering AI-generated surveys, automated analysis, and editable reports refined by human researchers. The company operates in the consumer insights space, serving teams that need rapid feedback on product concepts, consumer trends, and market signals. Founded in 2015 and based in Austin, Knit employs 11–50 people and is actively hiring across research, sales, and engineering. Pain points center on customer retention, converting pilots to subscriptions, and scaling toward $100M ARR, suggesting the company is navigating typical growth-stage challenges around enterprise expansion and renewal efficiency.

HeadquartersAustin, Texas

Company Size11–50 employees

Founded2015

Hiring MarketsUnited States, India

Frequently Asked Questions

What technology does Knit use to power its research platform?

Knit's stack includes React and Next.js for frontend, Python and FastAPI for backend services, MongoDB for data storage, and Pinecone for vector search—supporting AI-native UI and agent orchestration for automated research workflows.

Where is Knit headquartered and where does it hire?

Knit is headquartered in Austin, Texas and actively hires in the United States and India. The company has 14 active open roles across research, sales, engineering, marketing, and support.