A product brain for your AI and team.
Ship customer-centric features 12X faster, by continuously unifying scattered feedback into a holistic picture for your AI agents and teams.
- 100% Local option
- Basic is FREE Forever
- Unify scattered feedback
- Segments & personas
- See emerging patterns
- Automate harder tasks
- Keep devs & PMs aligned
- Save $$$ on tokens
- Avoid “research slop”
Claude
ChatGPT
Cursor
Linear
GitHub
Slack
USER INTERVIEW
SALES CALLTEAM THREAD
LIVE CHAT
SUPPORT TICKETFEATURE REQUEST
Product Brain
How it works
From every customer signal to better product decisions.
Evermuse sits between your sources and your agent, continuously transforming scattered information into structured product understanding.
USER INTERVIEWSALES CALLSUPPORT TICKETFEATURE REQUESTClaudeChatGPTCursorProcess 100% of customer signals.
Continuously process calls, feedback, support conversations, CRM activity, and other customer evidence - not just the items someone happens to ask about.
Continuously build product understanding.
Organize needs, pain points, personas, requests, capabilities, segments, and product decisions into a structured model that keeps evolving.
Generate evidence-backed AI specs.
Give your agent the customer context, product constraints, and strategic rationale it needs to turn ideas into grounded specs.
Keep development aligned.
Carry product intent from discovery into implementation, reviews, revisions, and the next decision - without losing the why along the way.
The problem
AI made engineering faster. That made Product's job harder.
Your team can ship in hours now. But nobody has time to figure out what to ship. Customer signal is scattered, discovery is rushed, and specs are thin - if they exist at all.
Feedback is everywhere. Insight is nowhere.
Customer signal lives across Intercom, Gong, Slack, support tickets, and sales notes. Manually synthesizing it is so labor-intensive that most of it is simply lost.
No time to do the work that matters.
AI coding means everything ships faster than ever. For Product, that means no time for discovery, no time to write proper PRDs, no time for research.
Pressure from every direction.
Engineering wants specs yesterday. Leadership wants roadmap confidence. Customers want to feel heard. You're caught in the middle.
The bottleneck has shifted.
Cursor, Codex, and Claude Code can write features in minutes - but they can't decide which feature to write. The constraint is no longer engineering capacity. It's product clarity.
Stay inside the tools you already use
Claude knows code & language. Evermuse helps it know your product & customers.
Evermuse is not another UI your team has to learn. It makes the agent they already use product-aware.
Claude + Evermuse
“Give me a spec for the onboarding changes enterprise accounting firms are asking for.”
Best-in-class UIs
Best-in-class UIs for those who want them.
When chat is not the best interface.
Identify & ship Product opportunities 12X faster with AI Suggestions.
- Prioritize by ROI, customer requests, and sales blockers.
- Identify both explicit requests and implicit opportunities.
- Stay connected to the original quotes and sources.
- Get the clarity you need, in the time you have.
Grounded beats generic
Why this beats “just ask Claude”
A generic AI doesn't proactively learn from what your customers said in last Tuesday's call. Evermuse does.
- -Confident answers built on whatever your AI happens to "remember"
- -Copy-pasting transcripts into chats and hoping they fit in the context window
- -Stale screenshots of the roadmap referenced in conversations
- -No verifiable source behind any quote, claim, or recommendation
- -Disconnected tools - your AI can't actually do anything in Linear, Slack, or Jira
- Answers grounded in your actual interviews, calls, and feedback
- One unified semantic search across every customer signal you've captured
- Live roadmap and shaping notes - always the current version
- Every quote and claim citeable back to a real meeting or document
- Two-way action: drop in new evidence, create tickets, send updates - without leaving the chat
Not another memory layer
Generic memory gives AI agents access to past history. Evermuse builds product understanding.
- Retrieves documents.
- Waits for questions.
- Is one-size-fits-all.
- Returns context.
- Builds product understanding.
- Continuously processes every signal.
- Is purpose-built for product teams.
- Connects evidence to decisions.
From the team
Watch the latest webinars.
75 minGiving Claude Product Superpowers
A practical playbook for wiring Claude into the tools your work runs on: customer sources, analytics, ticketing, scheduled tasks, and agentic memory, via MCPs, skills, and plugins.
50 minProduct Folks Should Ship Code
A practical playbook for product folks to prototype and ship real code with AI - covering tools, prompting, agents, and a safe GitHub workflow.
55 minBuilding & Designing Products in the Age of AI
Sprint creator Jake Knapp on what happens to product craft when AI can do 80% of the work - and how to stay customer-anchored while moving at AI speed.
Your demo
Book a Demo with the Founders
No slides. No canned walkthrough. We analyze your real customer feedback and generate a live spec - in 30 minutes with the founding team.
Your AI Coder, connected
See specs flow into Cursor or Claude Code via MCP - with real evidence attached.
Your customer feedback, analyzed
We plug into your sources or analyze a sample of customer calls you provide.
A PRD, generated live
Watch Evermuse turn messy feature requests into a structured, evidence-backed spec.
Your questions, honestly answered
Pricing, security, integrations, timeline. We answer everything directly.
What Users Are Saying
Shira Dassa
Product @ Yotpo
$436M RAISED • 600+ EMPLOYEES
"I'm reviewing the insights your product provided - my mind is blown! This is such a game-changer."
Erik Peterson
Head of Product @ ReSim.ai
SILICON VALLEY VENTURE BACKED
"[The results are] stunningly great, in my opinion... Now I don't have to attend every client interview in person."
Min Zhou
Design Lead @ OpenSea
$427M RAISED • 700+ EMPLOYEES
"Last month alone, we'd save 8.5 hours per team member using Evermuse."
Hadar Kaminski
Senior UX Researcher @ Redis
$357M RAISED • 1,000+ EMPLOYEES
"It looks like, yes - you may have cracked this complexity."
Rachel Abramowitz
Founder & CEO @ Keepler
"This is super awesome. Solves a bunch of the problems I know I have, but also ones that I'm like, I didn't know I had that problem."
Sarah Hillel
UX Researcher @ Pitango
"I love the system... A very big pain point this can fix right away... is having to explain to PMs how I got there."
Frequently asked
Evermuse
Don't let another customer call go unprocessed.
Turn customer signals, market data, product knowledge, and strategic decisions into continuous product clarity.