Figr AI
AI product design tool that reasons through UX from your existing product context
Linked from figr.design · checked 29 Oct
- Tool type
- AI product design software
- Made for
- Product managers, designers, and product teams
- Runs on
- Web app and MCP server
- Accessed through the web app; export to Figma and MCP access are listed features.
What it does
Figr AI is a product design tool that learns from the context a team already has, including screens, screen recordings, Figma files, PRDs, research notes, product docs, analytics files, and design system references. From that material it produces UX reasoning such as clarifying questions, user flows, edge case maps, UX reviews, and PRD-style documents, along with design-system-aware screens and prototypes for Figma.
Teams use it in the stretch between an idea and a screen. A typical session adds product context to a Context Pod, then asks Figr to map flows, find missing states, or redesign an existing screen. Its focus is existing products, so output is grounded in the product's own patterns rather than a blank prompt.
Figr suits product managers, product designers, and teams working on complex software. A free plan includes 10 credits per month, three canvases, and one Context Pod, and paid plans start at $32 per month billed yearly. Usage is credit-based, Context Pod size is capped by plan, and output quality depends on the product context supplied.
What it can do
- Captures product context from screens, screen recordings, Figma files, and live product capture
- Stores PRDs, research, docs, and analytics files in Context Pods for reuse
- Asks clarifying questions, maps flows and states, and finds edge cases
- Reviews existing UX decisions and checks accessibility
- Generates Figma-ready screens and prototypes grounded in a design system
- Exports designs to Figma, with image, Figma, and React/TSX export listed per plan
Works with
- Figma (plugin with two-way sync)
- Linear
- Confluence
- Notion
- Granola
- Miro
- Storybook
- GitHub
Before you choose
- Output quality depends on the product context you provide; Figr is designed for existing products rather than blank-page prompts.
- Credits are consumed by effort, so larger screen generation costs more than quick brainstorms.
- Some features, including SSO, audit logs, and custom integrations, are limited to Enterprise plans.
Listed under
Get started
Free plan available with limited credits, canvases, and one Context Pod.
- Create an account via the free sign-up link.
- Create a Context Pod and add PRDs, docs, research notes, screenshots, or recordings as product context.
- Add a design system or connect Figma files so generated output follows your existing components and tokens.
Plans and prices
Prices in USDFree plan includes 10 credits per month, three canvases, and one Context Pod. Starter shown as $32/month billed yearly ($39 billed monthly per layout); Max shown as $124/month billed yearly ($149 billed monthly per layout). Enterprise is custom and requires a sales call. Trial length not confirmed.
- 10 credits per month
- Only 3 canvases
- 200 credits per month
- Unlimited canvases
- 1,000 shared credits per month
- Up to 3 full-access seats
Source: figr.design/pricing, checked 29 Oct 2026. Prices can change; check before you buy.
Sources for this overview
Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.
- Figr AI Product Overview | Design for Existing Products ↗figr.design
- Figr AI Design Agent for Product Teams | Ship UX Faster ↗figr.design
- Introduction - Figr AI Docs ↗docs.figr.design
- Pricing Plans for Product Teams | Figr ↗figr.design
- Figr AI Design Agent for Product Teams | Ship UX Faster ↗figr.design
- Context Pod: Persistent Product Context for AI Design | Figr ↗figr.design
- Use PRDs, Research and Docs as AI Design Context | Figr ↗figr.design
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How we research- Company website
- figr.design: product, pricing and policy pages
- YC directory mirror
- Batch and company name
- Human review
- Checked by a person
- knowledge_base
- manual_review
Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.