/Companies

Evermuse

500 Global '26

Founded 2024 · 4 employees on LinkedIn · 1 known investors

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Evermuse is a tool for product teams that aggregates customer feedback signals and turns them into researched feature specifications detailed enough for engineers to build from. It is aimed at shortening the time between identifying a customer need and writing code.

Also known as Evermuse

Founders & leadership

Evermuse was founded in 2024 by Zack Drew.

ZD
Zack Drew

Investors · 1

500 Globallisted by 500 GlobalPalo Alto · $150K

How we know: open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · open dataset · 500 Global portfolio 2026-08 · Not right? Tell us

Company profile

researched Sep 2026

Evermuse offers a "product context" layer that ingests customer signals — user interviews, sales calls, support tickets, live chats, team threads and feature requests — and continuously converts them into a structured product knowledge graph of needs, pain points, personas, requests, capabilities, segments and product decisions. The processed context is exposed to AI assistants and coding agents including Claude, ChatGPT, Cursor and Codex, so that questions about customers can be answered with pre-processed, citable evidence rather than re-reading raw sources on every run.

The product positions itself between a company's data sources and its agents. Stated capabilities include generating evidence-backed specifications that carry customer context, product constraints and strategic rationale into implementation; drill-down from any claim to the underlying source clip; and reduced token consumption on ingestion, processing and recall. Integrations named on the company site cover Gong, Zoom, Slack, Intercom, Salesforce, Zendesk, Linear and Jira. Product surfaces described in release notes include a local desktop app with its own MCP server, interactive MCP Apps UI inside the AI client, an add_source import path, a Push API, document ingestion, a first-party integrations platform with scheduled Slack sync, custom user-defined signal types, a Projects view for user researchers, a Customers view, a usage/credit metering page, and Claude Opus 5 as the default model.

The company states SOC 2 Type II, GDPR readiness, OAuth 2.1 and zero data retention by clients as its security and compliance posture, and has published material on authentication, encryption, secure development practices and privacy-by-design.

Business model

Software delivered as a hosted workspace plus agent-side plugins and MCP integrations, sold to companies rather than individuals. Release notes reference in-app plan upgrades, credit metering and a usage page, and the company has offered free accounts to early users giving feedback.

Traction

The company site cites 11.8x faster time to market and 17.2 hours saved per team member per month. Commercial customer counts, revenue and headcount are not disclosed publicly.

Latest developments

August 2026 release notes describe a local desktop app with its own MCP server, interactive MCP Apps UI in the user's AI client, imports from any source via add_source, an MCP-first signup flow, changes to the meeting pipeline, and Claude Opus 5 as the new default model. July 2026 added custom signal types, a first-party integrations platform with scheduled Slack sync, a restored Customers view, in-app plan upgrades and sharper signal extraction. Also in July 2026, Evermuse announced partnerships with CoreStory, pairing customer-need context with code-behavior understanding, and with Plane, to carry customer insight from decision through to shipped work. Webinars in August and September 2026 covered measurable UX signal, the role of product in the age of AI, and daily discovery loops.

▸Full profile — market position, technology, go-to-market, history

Market position

Positions itself as a managed, governed context layer for company-wide product intelligence, contrasted on its site with generic AI assistants used alone and with home-grown, locally maintained context setups that depend on a single owner and are limited by context windows and local token budgets.

Technology

A pipeline that processes customer sources into extracted signals and a persistent product knowledge graph, with provenance, idempotency and verifiable citations cited by the company as core engineering concerns. Delivery to AI clients uses MCP servers, plugins and skills, including a desktop app with a local MCP server and interactive MCP Apps UI. Other components include a Push API, document ingestion, calendar and Zoom integrations for automatic meeting recording and transcription, unified credit metering, and grounded chat that returns citations and time-coded source clips. Claude Opus 5 is the default model as of August 2026; the blog is built on Nextra 4 within a Next.js application.

Go-to-market

Direct outreach and self-service entry points on the company site, including an agent plugin trial and 30-minute demos booked with the founders. Content marketing runs through the Everblog, with release notes, how-to guides and a recurring webinar series co-hosted by CEO Eran Dror with external product and design practitioners. Partnerships with adjacent tools (Plane, CoreStory) provide an additional channel.

Product teams — product managers, UX and user researchers — at companies whose customer signal is spread across tools such as Intercom, Gong, Slack, support ticketing and sales notes; the company also describes a workspace intended for sales, finance and leadership users without terminal, GitHub or prompting expertise.

History

An earlier beta version of the product recorded and analyzed customer calls but was described by users as overwhelming in the volume of needs, pain points and feedback it surfaced. Roughly six months of development on automated synthesis and analysis followed, and Evermuse v1 launched in September 2025 with Suggestions, Chat and AI Briefs. Subsequent release notes through 2025 and 2026 document security and infrastructure work, a Push API and document ingestion, an MCP integrations push, first-party integrations and custom signals, and a desktop app with an embedded MCP server. The company also runs a webinar series with outside product practitioners and announced partnerships with Plane and CoreStory in July 2026.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
HeadcountAug 20264
Reported faster time to marketJan 202611.8 x
Reported hours saved per team member per monthJan 202617.2 hours/month

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 7

launches, deals, and filings
Sep 2026
August 2026 release: desktop app, interactive MCP Apps and Claude Opus 5 default

A local desktop app with its own MCP server, interactive MCP Apps UI in the AI client, imports via add_source, an MCP-first signup, meeting pipeline changes, and Claude Opus 5 as the new default model.

source ↗

Aug 2026
July 2026 release: custom signals, first-party integrations and Customers view

Custom signal types defined by the user, a first-party integrations platform with scheduled Slack sync, a restored Customers view, in-app plan upgrades, smoother onboarding and sharper signal extraction.

source ↗

Jul 2026
Partnership with CoreStory

Evermuse and CoreStory partnered to give product and engineering teams and their AI agents both what customers need and how their code actually works.

source ↗

Jul 2026
Partnership with Plane

Evermuse and Plane partnered so that the customer insight behind a decision travels with the work from first conversation through to shipped.

source ↗

Jun 2026
May 2026 release: MCP integrations push and Usage page

A major MCP integrations push, a new Usage page for credit transparency, a rebuilt meeting page, and a performance, security and reliability pass.

source ↗

May 2026
April 2026 release: Push API, document ingestion and Projects overhaul

Release notes describe a Push API, document ingestion, a Projects overhaul for user researchers, smarter chat, meeting UI upgrades, unified credit metering and performance gains.

source ↗

Sep 2025
Evermuse v1 launched with Suggestions, Chat and AI Briefs

After roughly six months of development following beta feedback that the earlier version was overwhelming, Evermuse released v1, adding automated roadmap opportunity suggestions with supporting evidence, a context-aware chat grounded in the customer research database with citations, and AI Briefs summarizing patterns and competitor capabilities.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Evermuse do?
Evermuse builds a managed customer-context layer that turns scattered product feedback into evidence-backed specs for AI agents.
Who founded Evermuse?
Evermuse was founded by Zack Drew in 2024.
Who are Evermuse's investors?
Evermuse's investors include 500 Global.