Agency-quality customer research. Half the cost. 12× the speed.
- •Dedicated UX researchers powered by an AI platform
- •Every customer conversation turned into dev-ready specs
- •Not a self-serve tool. Not a 3-month agency engagement.
Book a Demo with the Founders
to Market
Per Team Member
What happens in 30 minutes
No slides. No canned walkthrough. We run your data through Evermuse live.
Your data, analyzed
Share a few customer recordings, Gong calls, or support transcripts. We ingest them before the call and show you what Evermuse finds.
A spec, generated live
Watch a messy cluster of feature requests become a structured, evidence-backed PRD with acceptance criteria, edge cases, and customer quotes cited inline.
Your coding agent, connected
See the spec flow into Cursor or Claude Code via MCP, with real customer evidence attached. Your AI coder gets context, not guesses.
Your questions, directly
Pricing, security, integrations, pilot timeline, how we pair you with a researcher. We answer everything. No follow-up call needed.
Your research agency is charging $50K for work AI can do in hours.
And the self-serve AI tools? They hand you a login and wish you luck. The gap between "agency-quality insight" and "tool you actually use" has never been wider.
Agency timelines kill momentum
Pitch, contract, recruit, research, synthesize. Two to three months before a single insight surfaces. By then, your engineers shipped something else entirely.
$25K–$100K per engagement
Senior researcher bill rates of $150–$180/hour. The average UX project costs $85K and takes 10 months. That’s not continuous discovery, that’s occasional archaeology.
Deliverables engineers can't use
You get a beautifully designed 40-page PDF of themes and personas. Your engineers need acceptance criteria, edge cases, and user stories in Linear. The translation tax eats weeks.
Self-serve tools lack depth
AI transcription and theme clustering is table stakes. But who's designing the research? Who's catching the signal your team missed? A tool without a researcher is a spreadsheet with feelings.
Customer data sits unused
Hundreds of Gong calls, Zoom recordings, support tickets, and win/loss interviews are piling up. You have more conversational data than you can synthesize, and none of it reaches your roadmap.
Research doesn't reach the people who build
Insights live in a Notion doc three people read. Engineers build from tickets, not from evidence. The gap between "what customers need" and "what gets shipped" is a people problem, not a data problem.
Not a tool. Not an agency. A research team with an AI engine.
Evermuse pairs dedicated UX researchers who design your studies, moderate sessions, and challenge your assumptions - with an AI platform that turns the output into specs your engineering team can actually build from.
6–12 weeks to first insight
Pitch, contract, recruit, field, synthesize. By the time insights arrive, the product has already moved on.
$25K–$100K per project
Senior researcher bill rates and long timelines mean continuous discovery is out of reach for most teams.
PDFs and decks, not specs
Beautifully designed deliverables that engineers can’t act on without weeks of translation into tickets and stories.
›48 hours to first insight
We connect to your existing call recordings and start finding signal immediately. No new research required on day one.
›50% below agency cost, continuously
Evermuse retainers deliver ongoing research, not one-off projects. Continuous discovery at a price that makes sense.
›Dev-ready specs with cited evidence
Every claim linked to a specific customer conversation. Output flows directly into Linear, Jira, or your AI coding agent via MCP.
I'm reviewing the insights your product provided – my mind is blown! This is such a game-changer.
Shira Dassa
Product @ Yotpo
[The results are] stunningly great, in my opinion... Now I don't have to attend every client interview in person.
Erik Peterson
Head of Product @ ReSim.ai
Last month alone, we'd save 8.5 hours per team member using Evermuse.
Min Zhou
Design Lead @ OpenSea
It looks like, yes – you may have cracked this complexity.
Hadar Kaminski
Senior UX Researcher @ Redis
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.
Rachel Abramowitz
Founder & CEO @ Keepler
I love the system... A very big pain point this can fix right away... is having to explain to PMs how I got there.
Sarah Hillel
UX Researcher @ Pitango
Before you book
You're not replacing your researchers - you're giving them superpowers. Evermuse automates the 40-60% of project time that goes to transcription, coding, and synthesis, so your team spends more time on the work that requires human judgment: study design, stakeholder facilitation, and strategic framing. Plus, the platform makes sure every insight actually reaches the engineers who build from it.
It can't, and we don't try to. This is the centaur model: human researchers design the right studies and ask the hard questions, while AI handles the analysis, synthesis, and spec generation at a speed and scale no human team can match alone. Every Evermuse engagement includes a dedicated researcher. The AI is the engine. The researcher is the driver.
Self-serve research tools fail when there's no one to drive adoption and no clear output that connects to engineering workflows. Evermuse is different on both counts. You get a dedicated researcher who manages your research program - not just a login. And the output isn't themes in a dashboard. It's structured specs that flow directly into Linear, Jira, or your AI coding agent via MCP.
Those tools are great at feedback aggregation - collecting signals and surfacing themes. Evermuse starts where they stop. We take conversation data and produce dev-ready specifications with acceptance criteria, edge cases, and cited customer evidence. Think of it as the difference between "customers want better onboarding" and a complete feature spec for the onboarding redesign with every claim traced to a specific customer conversation.
We're SOC 2 Type II certified and GDPR-compliant. Customer data is encrypted at rest and in transit, never used for model training, and subject to strict data retention policies you control. We already serve teams at companies with $350M+ raised and 1,000+ employees.
Forty-eight hours from kickoff to your first analyzed batch of customer conversations. Most teams see their first evidence-backed spec within the first week. We connect to your existing call recordings (Gong, Zoom, Google Meet, Chorus) and start finding signal immediately.
We price at roughly 50% below traditional agency rates. A typical agency discovery engagement runs $25K-$100K over 2-3 months. Evermuse retainers start significantly below that while delivering continuously, not just once. We'll walk through pricing on the demo call.
Built for teams that ship, not teams that present
Evermuse works best when there’s real product velocity and real customer conversations to learn from.
B2B SaaS teams with 1–5 PMs
Too small for a full research org, too ambitious to ship without evidence. You run 5–20 customer calls a week and none of them reach your roadmap systematically.
Teams drowning in Gong and Zoom recordings
Your sales and CS teams talk to customers every day. That data is gold - but it’s sitting in a call recording tool nobody has time to review.
Engineering orgs using AI coding agents
Cursor, Claude Code, Codex - your build speed has jumped 10×. But the specs feeding those agents? Still written from memory and gut instinct, not from customer evidence.
Research teams that want more impact, not more tools
You already run great studies. What you need is for every insight to reach the right engineer at the right time, cited and structured for action.
Not there yet? Reach out anyway - we're happy to chat about where you're headed.
Stop paying agency prices for work AI can accelerate.
Stop using self-serve tools without a researcher behind them.
Book a 30-Minute DemoIf it's not the most useful 30-minute call you've taken this quarter, we'll say so ourselves.