Unified product context your AI & team can trust.

From scattered customer signals to better Product decisions.

Meaningful signals in 5 min
Clusters & finds patterns
Never stops learning
Links CRM & revenue
Tags segments & personas
Keeps devs & PMs aligned

See how it works

SOC 2 Type II

GDPR Ready

OAuth 2.1

Zero data retention by clients

USER INTERVIEW

SALES CALL

TEAM THREAD

LIVE CHAT

SUPPORT TICKET

FEATURE REQUEST

Product Context

Generating learnings…Extracting signals…Generating learnings…

NEEDS0PAIN POINTS0KEY QUOTES0FEEDBACK0

PRODUCT KNOWLEDGE GRAPH

Claude

What's blocking enterprise onboarding?

Let me check what customers ran into.

Searched product context - 129 learnings

+Write a message…Opus 5

Claude can make mistakes. Please double-check responses.

Meet Evermuse

A 90-second intro from Eran Dror, Cofounder & CEO.

Book a Demo with the Founders

⏱ 30 minYour stackNo commitment

11.8×Faster Time
to Market

17.2Hours/Month Saved
Per Team Member

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.

Process 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.

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.

With Evermuse

Claude + Evermuse

Claude/Enterprise onboarding

What’s blocking enterprise onboarding?

+Type / for commandsOpus 5High

Source×

1Pain point

Acme Corp · Discovery call

12:04 / 38:11

“We can’t start the pilot until SSO is in place. That’s an IT gate, not a preference, and it cost us two weeks last time.”

DRDana R.VP Engineering, Acme Corp

Zoom recording · 38:11 · Aug 4, 2026

Billion Token SavingsSave billions of tokens on ingestion, processing, and recall.
Better, Faster AnswersGet better answers faster with pre-processed context.
Citation Clips & Drill DownsDrill down on any claim to verified sources and relevant clips.
100% Complete PictureSee the full pattern, not a set of anecdotes.
Objective DecisionsGround every decision, PRD, or discussion in real customer data.
Methodology UpliftSpread best practices & methodology to EVERY internal user.
Trusted AutomationsTrust Claude to do more complex and nuanced Product and dev tasks with timely, relevant, and dynamic context.

Without Evermuse

Claude Alone

Claude/Enterprise onboarding

What’s blocking enterprise onboarding?

+Type / for commandsOpus 5High

−Waste Tokens Every RunSpend tokens badly processing sources every time from scratch.
−Wait Longer for Worse AnswersWhy get fast grounded answers when you can get slow bad answers.
−Can’t Scale Past Context WindowClaude can actually read up to ~10 transcripts before it gets maxed out, and that’s without ANY back and forth.
−No Drill-Down or VerificationYou have to trust Claude implicitly because the sources are not easy to verify.
−Anecdotal EvidenceThere is nothing that Claude loves better than writing convincing reports based on anecdotal evidence of a few sources.
−Subjective Vibes That “Feel” Like ResearchFeels good to trust Claude and not think too hard about the thoroughness of its research.
−Battle of the PromptsGreat prompters get great answers, bad prompters get equally convincing & eloquent bad answers.
−Fragile AutomationsAutomate only extra clear tasks because nuanced ones require deep context.

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.

The context-layer choice

Vibe coding is for CRUD, not a mature AI stack.

A prototype can run on prompts and scripts. Company-wide intelligence needs a durable, governed layer built to keep working.

Managed & compounding

Evermuse Context Layer

Gong

Zoom

Slack

Intercom

Salesforce

Zendesk

Linear

Jira

100% CONNECTED

Process 100% of SignalsNothing ever needs to get lost in a centralized managed source-of-truth.
From Signal to ActionConnect customer evidence to company goals, roadmap decisions, specs, and next steps - not another report that gathers dust.
Reliable by DesignRun every source through a maintained, repeatable pipeline with structured evidence and citations you can verify.
Built for the Whole CompanyGive product, sales, finance, and leadership one governed workspace - no terminal, GitHub, or expert prompting required.
Maintained for YouKeep ingestion, workflows, and integrations improving without assigning someone internally to own the entire system.

Local & owner-dependent

Home Grown Context Layer

SINGLE-POINT-OF-FAILURE

−Limited by Context Window, Local TokensAn agent can do very little processing of sources in a single run.
−Insights in a Siloed ReportClaude can collect and organize signals, but tying them to strategic goals and driving the next action still falls on your team.
−A Fragile Homegrown PipelineCustom skills and scripts work until edge cases, redaction mistakes, or the last few hallucinations quietly compound.
−Works for the Builder, Not the TeamA local Claude setup can be powerful for its creator while leaving everyone else without a shared, governed way to use it.
−Another System You Have to SupportPrompts, skills, scripts, and connectors need a dedicated owner. When that person gets busy, the pipeline stops evolving.

From the team

Watch the latest webinars.

From Gut Feel to Real Signal

David Sternberg (author of The Flow Equation) and Eran Dror on why UX is shifting from gut-feel art to measurable science, adaptive interfaces, and where nudging turns into manipulation.

Giving 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.

Product 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.

Zack Drew

405 watched

Watch

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

Claude/Enterprise onboarding spec

Write the spec for the onboarding changes enterprise firms keep asking for.

Searched product context - 41 signals, 9 customers

FEATURE SPECEVIDENCE-BACKED

Enterprise onboarding: SSO-first setup

PROBLEM

IT gates the pilot on SSO before a workspace is created.134

Bulk import stalls once an account passes 10k rows.12

REQUIREMENTS

SAML/OIDC available at workspace creation.123

Admin sandbox provisioned before go-live.34

Resumable import batches with progress.124

drafting…

+Write a message…Opus 5

1PAIN POINT×

ACME CORP · DISCOVERY CALLVIDEO

12:04 / 38:11

“We can’t start the pilot until SSO is in place. That’s an IT gate, not a preference - it cost us two weeks last time.”

DRDana R.VP Engineering, Acme Corp · Aug 4, 2026

SOURCE · ZOOM VIDEO RECORDING · 38:11 · TRANSCRIBED BY 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.

SUGGESTIONS

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.

1 / 6

See every feature

Not another memory layer

Generic memory gives AI agents access to past history. Evermuse builds product understanding.

Generic memory

MEMORY.md

Retrieves documents.
Waits for questions.
Is one-size-fits-all.
Returns context.

Evermuse

PRODUCTSCAPABILITIESCUSTOMERSCOMPETITORSNEEDSREQUESTSTRANSCRIPTSSIGNALSOPPORTUNITIESPAYMENTS

Builds product understanding.
Continuously processes every signal.
Is purpose-built for product teams.
Connects evidence to decisions.

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.

30 min Your stack No commitment

11.8×Faster Time to Market

17.2Hours/Month Saved

What you'll get in 30 minutes

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.

Unified product context your AI & team can trust.

From scattered customer signals to better Product decisions.

Meaningful signals in 5 min
Clusters & finds patterns
Never stops learning
Links CRM & revenue
Tags segments & personas
Keeps devs & PMs aligned

See how it works

SOC 2 Type II

GDPR Ready

OAuth 2.1

Zero data retention by clients

USER INTERVIEW

SALES CALL

TEAM THREAD

LIVE CHAT

SUPPORT TICKET

FEATURE REQUEST

Product Context

Generating learnings…Extracting signals…Generating learnings…

NEEDS0PAIN POINTS0KEY QUOTES0FEEDBACK0

PRODUCT KNOWLEDGE GRAPH

Claude

What's blocking enterprise onboarding?

Let me check what customers ran into.

Searched product context - 129 learnings

+Write a message…Opus 5

Claude can make mistakes. Please double-check responses.

Meet Evermuse

A 90-second intro from Eran Dror, Cofounder & CEO.

Book a Demo with the Founders

⏱ 30 minYour stackNo commitment

11.8×Faster Time
to Market

17.2Hours/Month Saved
Per Team Member

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.

Process 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.

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.

With Evermuse

Claude + Evermuse

Claude/Enterprise onboarding

What’s blocking enterprise onboarding?

+Type / for commandsOpus 5High

Source×

1Pain point

Acme Corp · Discovery call

12:04 / 38:11

“We can’t start the pilot until SSO is in place. That’s an IT gate, not a preference, and it cost us two weeks last time.”

DRDana R.VP Engineering, Acme Corp

Zoom recording · 38:11 · Aug 4, 2026

Billion Token SavingsSave billions of tokens on ingestion, processing, and recall.
Better, Faster AnswersGet better answers faster with pre-processed context.
Citation Clips & Drill DownsDrill down on any claim to verified sources and relevant clips.
100% Complete PictureSee the full pattern, not a set of anecdotes.
Objective DecisionsGround every decision, PRD, or discussion in real customer data.
Methodology UpliftSpread best practices & methodology to EVERY internal user.
Trusted AutomationsTrust Claude to do more complex and nuanced Product and dev tasks with timely, relevant, and dynamic context.

Without Evermuse

Claude Alone

Claude/Enterprise onboarding

What’s blocking enterprise onboarding?

+Type / for commandsOpus 5High

−Waste Tokens Every RunSpend tokens badly processing sources every time from scratch.
−Wait Longer for Worse AnswersWhy get fast grounded answers when you can get slow bad answers.
−Can’t Scale Past Context WindowClaude can actually read up to ~10 transcripts before it gets maxed out, and that’s without ANY back and forth.
−No Drill-Down or VerificationYou have to trust Claude implicitly because the sources are not easy to verify.
−Anecdotal EvidenceThere is nothing that Claude loves better than writing convincing reports based on anecdotal evidence of a few sources.
−Subjective Vibes That “Feel” Like ResearchFeels good to trust Claude and not think too hard about the thoroughness of its research.
−Battle of the PromptsGreat prompters get great answers, bad prompters get equally convincing & eloquent bad answers.
−Fragile AutomationsAutomate only extra clear tasks because nuanced ones require deep context.

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.

The context-layer choice

Vibe coding is for CRUD, not a mature AI stack.

A prototype can run on prompts and scripts. Company-wide intelligence needs a durable, governed layer built to keep working.

Managed & compounding

Evermuse Context Layer

Gong

Zoom

Slack

Intercom

Salesforce

Zendesk

Linear

Jira

100% CONNECTED

Process 100% of SignalsNothing ever needs to get lost in a centralized managed source-of-truth.
From Signal to ActionConnect customer evidence to company goals, roadmap decisions, specs, and next steps - not another report that gathers dust.
Reliable by DesignRun every source through a maintained, repeatable pipeline with structured evidence and citations you can verify.
Built for the Whole CompanyGive product, sales, finance, and leadership one governed workspace - no terminal, GitHub, or expert prompting required.
Maintained for YouKeep ingestion, workflows, and integrations improving without assigning someone internally to own the entire system.

Local & owner-dependent

Home Grown Context Layer

SINGLE-POINT-OF-FAILURE

−Limited by Context Window, Local TokensAn agent can do very little processing of sources in a single run.
−Insights in a Siloed ReportClaude can collect and organize signals, but tying them to strategic goals and driving the next action still falls on your team.
−A Fragile Homegrown PipelineCustom skills and scripts work until edge cases, redaction mistakes, or the last few hallucinations quietly compound.
−Works for the Builder, Not the TeamA local Claude setup can be powerful for its creator while leaving everyone else without a shared, governed way to use it.
−Another System You Have to SupportPrompts, skills, scripts, and connectors need a dedicated owner. When that person gets busy, the pipeline stops evolving.

From the team

Watch the latest webinars.

From Gut Feel to Real Signal

David Sternberg (author of The Flow Equation) and Eran Dror on why UX is shifting from gut-feel art to measurable science, adaptive interfaces, and where nudging turns into manipulation.

Giving 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.

Product 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.

Zack Drew

405 watched

Watch

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

Claude/Enterprise onboarding spec

Write the spec for the onboarding changes enterprise firms keep asking for.

Searched product context - 41 signals, 9 customers

FEATURE SPECEVIDENCE-BACKED

Enterprise onboarding: SSO-first setup

PROBLEM

IT gates the pilot on SSO before a workspace is created.134

Bulk import stalls once an account passes 10k rows.12

REQUIREMENTS

SAML/OIDC available at workspace creation.123

Admin sandbox provisioned before go-live.34

Resumable import batches with progress.124

drafting…

+Write a message…Opus 5

1PAIN POINT×

ACME CORP · DISCOVERY CALLVIDEO

12:04 / 38:11

“We can’t start the pilot until SSO is in place. That’s an IT gate, not a preference - it cost us two weeks last time.”

DRDana R.VP Engineering, Acme Corp · Aug 4, 2026

SOURCE · ZOOM VIDEO RECORDING · 38:11 · TRANSCRIBED BY 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.

SUGGESTIONS

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.

1 / 6

See every feature

Not another memory layer

Generic memory gives AI agents access to past history. Evermuse builds product understanding.

Generic memory

MEMORY.md

Retrieves documents.
Waits for questions.
Is one-size-fits-all.
Returns context.

Evermuse

PRODUCTSCAPABILITIESCUSTOMERSCOMPETITORSNEEDSREQUESTSTRANSCRIPTSSIGNALSOPPORTUNITIESPAYMENTS

Builds product understanding.
Continuously processes every signal.
Is purpose-built for product teams.
Connects evidence to decisions.

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.

30 min Your stack No commitment

11.8×Faster Time to Market

17.2Hours/Month Saved

What you'll get in 30 minutes

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.

Unified product context your AI & team can trust.

A 90-second intro from Eran Dror, Cofounder & CEO.

Book a Demo with the Founders

From every customer signal to better product decisions.

Process 100% of customer signals.

Continuously build product understanding.

Generate evidence-backed AI specs.

Keep development aligned.

Why this beats “just ask Claude”

Claude + Evermuse

Claude Alone

AI made engineering faster. That made Product's job harder.

Feedback is everywhere. Insight is nowhere.

No time to do the work that matters.

Pressure from every direction.

The bottleneck has shifted.

Vibe coding is for CRUD, not a mature AI stack.

Evermuse Context Layer

Home Grown Context Layer

Watch the latest webinars.

From Gut Feel to Real Signal

Giving Claude Product Superpowers

Product Folks Should Ship Code

Claude knows code & language. Evermuse helps it know your product & customers.

Best-in-class UIs for those who want them.

Identify & ship Product opportunities 12X faster with AI Suggestions.

Generic memory gives AI agents access to past history. Evermuse builds product understanding.

Book a Demo with the Founders

Your AI Coder, connected

Your customer feedback, analyzed

A PRD, generated live

Your questions, honestly answered

What Users Are Saying

Shira Dassa

Erik Peterson

Min Zhou

Hadar Kaminski

Rachel Abramowitz

Sarah Hillel

Frequently asked

What is MCP, and why should I care?

Why use the Evermuse MCP instead of just asking ChatGPT or Claude?

What data does the MCP have access to?

How does authentication work? Is it secure?

Which AI clients are supported?

Can my whole team share access?

Do I need an Evermuse account?

Can my AI write back to Evermuse, or only read?

Is there a free tier?

Don't let another customer call go unprocessed.

Unified product context your AI & team can trust.

A 90-second intro from Eran Dror, Cofounder & CEO.

Book a Demo with the Founders

From every customer signal to better product decisions.

Process 100% of customer signals.

Continuously build product understanding.

Generate evidence-backed AI specs.

Keep development aligned.

Why this beats “just ask Claude”

Claude + Evermuse

Claude Alone

AI made engineering faster. That made Product's job harder.

Feedback is everywhere. Insight is nowhere.

No time to do the work that matters.

Pressure from every direction.

The bottleneck has shifted.

Vibe coding is for CRUD, not a mature AI stack.

Evermuse Context Layer

Home Grown Context Layer

Watch the latest webinars.

From Gut Feel to Real Signal

Giving Claude Product Superpowers

Product Folks Should Ship Code

Claude knows code & language. Evermuse helps it know your product & customers.

Best-in-class UIs for those who want them.

Identify & ship Product opportunities 12X faster with AI Suggestions.

Generic memory gives AI agents access to past history. Evermuse builds product understanding.

Book a Demo with the Founders

Your AI Coder, connected

Your customer feedback, analyzed