# Fragment AI

> Fragment is an AI customer research platform for B2B product teams. It connects what your customers say, what your product does, and what your company knows into structured context—so teams and their AI agents can ship the right things 10x faster.

Fragment is made by Fragment AI (fragment.fit). Founded in 2024. Contact: info@fragment.fit

## What Fragment Does

Fragment automatically analyzes customer conversations from Gong, Zoom, Google Meet, and Fireflies. It extracts product feedback, surfaces themes, and generates research-quality insights in minutes rather than weeks. It acts as a structured context layer—connecting call recordings, transcripts, PRDs, analytics, and company knowledge into one live source of truth accessible to your team and your AI agents.

Key capabilities:
- Continuous discovery: every customer call analyzed hands-free, no tagging or taxonomy required
- Evidence-grounded specs: turn a rough idea into a build-ready spec grounded in real customer quotes
- AI agent integration: connects to Claude Code, Cursor, and Codex via MCP so agents have full product and customer context
- Voice of Customer reports, customer personas, and Jobs To Be Done synthesis from real conversations
- Deep research agents: answer any product or customer question from your call corpus
- Multi-language support: analyze conversations in 50+ languages
- Integrations: Gong, Zoom (with Fragment's own AI notetaker), Google Drive, Fireflies, Zapier

Fragment is for: product managers, product leaders, researchers, founders, product marketers, and AI coding agents that need grounded context.

Free plan available. No tagging, training, or manual entry required.

## Key Pages

- [Home](https://fragment.fit): Product overview, feature details, customer FAQ, and pricing CTA
- [Notetaker](https://fragment.fit/notetaker): Fragment's AI meeting notetaker — joins Zoom, Google Meet, and other calls automatically
- [AI Notetaker for Zoom](https://fragment.fit/ai-notetaker-zoom): Fragment's dedicated Zoom AI notetaker
- [Pricing](https://fragment.fit/pricing): Plans and pricing — free plan available, no credit card required
- [Blog](https://fragment.fit/blog): Product thinking, AI-assisted research, and the future of customer intelligence
- [Use Cases](https://fragment.fit/use-cases): Guided workflows showing Fragment in action for specific product team jobs
- [Contact / Support](https://fragment.fit/contact-support): Reach the Fragment team

## Blog

Fragment's blog covers product thinking, customer research, AI-assisted workflows, and what changes when coding is no longer the bottleneck.

- [Productboard vs. Fragment](https://fragment.fit/blog/productboard-vs-fragment): Detailed comparison of Productboard and Fragment for customer feedback analysis (2026)
- [Voice of Customer Became a Graveyard of Decks](https://fragment.fit/blog/voice-of-customer-graveyard): Why traditional VoC programs fail and what replaces them
- [Transcription Is a Solved Problem. Your Notetaker Solved the Wrong One.](https://fragment.fit/blog/transcription-solved-the-wrong-problem): Why AI notetakers need to go further than transcription
- [The PM Job Didn't Die. It Split Into Three.](https://fragment.fit/blog/pm-job-split-into-three): How the product manager role is changing in the AI era
- [Stop Doing Customer Research. Read the Research You Already Have.](https://fragment.fit/blog/read-the-research-you-already-have): How to get more from existing call data
- [You Don't Have a Prioritization Problem. You Have a Memory Problem.](https://fragment.fit/blog/prioritization-is-a-memory-problem): Reframing prioritization as a retrieval problem
- [What Happens After Coding Is Solved?](https://fragment.fit/blog/after-coding-is-solved): Strategy and product implications of AI-driven development
- [The Kill Test](https://fragment.fit/blog/the-kill-test): How to spend ten minutes stress-testing your own feature before shipping
- [MVP Walks. MVQ Decides Whether You Ship.](https://fragment.fit/blog/mvq-minimum-viable-quality): Why minimum viable quality is the standard that matters now
- [Sales Calls Are Product Discovery](https://fragment.fit/blog/sales-calls-are-product-discovery): How to extract product signal from sales conversations

## Use Cases

Guided workflows where Fragment is used for a specific job:

- [PRD Validation](https://fragment.fit/use-cases/prd-validation): Validate every claim in a PRD against real customer conversations — surfaces unsupported assumptions and missed pains
- [Churn Pre-Mortem](https://fragment.fit/use-cases/pre-mortem): Map the full churn trajectory across calls, product events, and Slack — shows when the story really ended
- [Customer Persona](https://fragment.fit/use-cases/persona): Build evidence-grounded Jobs-to-be-Done personas synthesized from real conversations, not workshops

## Contact & Community

- Email: info@fragment.fit
- LinkedIn: https://www.linkedin.com/company/fragment-fit/
- Slack community: https://join.slack.com/t/fragment-community/shared_invite/zt-3v3oh5oxw-eg_d0aPlW0BtqDWqmObVow
- Book a demo: https://calendly.com/igal-itskovich/your-fragment-demo