AI surfaces. Humans decide.
Maze AI helps your team build better studies, surface deeper insights, and now, bring research directly into the tools where decisions get made.
Transform your research with AI
Reduce time to insight with powerful AI tools that accelerate analysis.

Anyone on your team can build a methodology-sound study in minutes—so researchers spend more time on what actually matters.

Bring your research findings into the tools your team already works in, so insight shows up while the decision is still live.

From idea to research, in seconds
Skip the blank page. Tell AI what you want to learn and get a complete, ready-to-launch study tailored to your goals and built to trust – so anyone on your team can run research with confidence, instantly.






What's new in Maze AI
Maze MCP brings insights into your AI tools, so decisions happen with research in context.
Designed to provide a deeper dive into specific responses during your unmoderated studies.
Frequently asked questions
What is research-grade AI?
What is research-grade AI?
Research-grade AI is built to support high-quality research, not just fluent conversations. It’s designed to avoid leading questions, minimize bias, and stay grounded in what participants actually say. In Maze, every conversation is tied back to your research goals and evaluated against 25 quality metrics to help keep insights consistent and reliable.
How does Maze’s AI moderator work for interviews and follow-up questions?
How does Maze’s AI moderator work for interviews and follow-up questions?
Maze’s AI moderator asks context-driven follow-up questions based on your research goals and participant responses. You set the learning objectives, and Maze's AI moderator adapts dynamically, rephrasing and probing to dig deeper, while automatically transcribing, tagging, and summarizing insights after each session.
Can AI-generated reports and summaries be customized or edited?
Can AI-generated reports and summaries be customized or edited?
Yes! Maze allows team owners, admins, and editors to edit the auto-generated reports, customize theme summaries, hide or show slides, and even reorder findings before sharing them with stakeholders.
How does Maze ensure data privacy and accuracy when using AI?
How does Maze ensure data privacy and accuracy when using AI?
Maze only uses trusted third-party AI providers (OpenAI for text and Rev AI for voice), never trains models on your data, and keeps participant information encrypted with clear usage badges. You can disable AI features on higher plans, and all research is governed by strict privacy and security policies. Plus, you’re encouraged to preview and flag any report or follow-up for quality control.
What is Maze MCP?
What is Maze MCP?
Maze MCP connects your Maze research to AI tools like Claude, ChatGPT, and Cursor. Team members can ask about studies, transcripts, and session data directly from the AI tools they already use, without opening Maze, exporting anything, or waiting for a researcher to resurface the findings. It's how research stops living in a repository and starts reaching the people who need it.
How is Maze AI different from just using an LLM for research?
How is Maze AI different from just using an LLM for research?
Maze AI works with the data your team collected, real study responses, interview transcripts, and session recordings. Maze MCP extends that further, making your organization's own research queryable from any MCP-compatible AI tool. The difference is grounded vs. generated.
Does Maze MCP work with Claude? (and ChatGPT, Cursor, etc.)
Does Maze MCP work with Claude? (and ChatGPT, Cursor, etc.)
Yes. Maze MCP follows the open MCP standard and can connect to any MCP-compatible AI tool. If a platform supports MCP, customers can connect directly to Maze, even if we don't yet offer a marketplace integration or official support for that platform. Maze provides step-by-step setup guides for:
Claude (desktop app and claude.ai)
ChatGPT
Cursor
GitHub Copilot (VS Code)
Claude Code (CLI)
Codex
The connector URL works in any other app that supports the Model Context Protocol.

















