Memora

What Memora does

Memora AI, Inc. is a US-incorporated, privately held software company building an AI-powered enterprise memory and knowledge search platform. The product continuously indexes messages, documents, tickets, and decisions across connected tools (Slack, Notion, Google Workspace, Jira, Linear, and GitHub) via native OAuth, then synthesizes natural-language answers with citations, confidence scores, and a living knowledge graph that links people, projects, and decisions over time. Core surfaces include AI Search, Knowledge Graph, Decision Timeline, Conversation Explorer, and Meeting Intelligence, supported by enterprise security primitives (AES-256 encryption, TLS 1.3, SSO, role-based access control, audit logs) and a SOC2 Type II compliance program targeting a Q3 audit.

The company operates an invitation-only Early Access Program with limited design-partner seats, offering unlimited search and enterprise features in exchange for onboarding feedback. Distribution is enterprise field sales, evidenced by a documented Acme sales process surfacing per-seat pricing objections, EU data residency requirements, time-to-value concerns for a 400-person organization, and audit-log GA prerequisites. Pricing is structured as per-seat subscription but not publicly disclosed, with stated intent to evolve pricing as the product matures. The horizontal go-to-market targets Engineering, Sales, Product, HR, and Leadership personas inside large enterprises, with the largest disclosed target tier being 400-plus-person organizations.

Name

Memora

Legal name

Memora AI, Inc.

Website

https://usememora.net

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Short description

Memora AI is a US-based, early-stage enterprise software company that uses AI to continuously index and search conversations, documents, and decisions across Slack, Notion, Google, Jira, Linear, and GitHub. It sells via an invitation-only Early Access Program targeting enterprise teams of 400-plus employees on a per-seat subscription.

Ownership category

akta.pro rank

Product category

Enterprise Knowledge Management

NAICS

Information (51)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding (HDAAACAE)

akta.pro secondary industry

Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights) (HDAEAMAD)

Keywords

• Enterprise knowledge management
• AI-powered search
• Organizational memory platform
• Conversation intelligence
• Decision tracking system

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Per-Seat Subscription: Monthly or annual subscription pricing based on per-seat model. Mentioned in customer example (Acme flagged per-seat model twice). Early access currently free with limited seats. Pricing will evolve with product.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels1 record

Core offering

Memora is an AI-powered enterprise knowledge and memory platform that continuously indexes conversations, documents, decisions and tickets across Slack, Notion, Google, Jira, Linear and GitHub into a searchable knowledge graph. It provides natural-language AI Search with synthesized answers, citations and confidence scores, Decision Timeline reconstruction, Conversation Explorer unified threads, and Meeting Intelligence extraction. The product is delivered through an invitation-only Early Access program with per-seat subscription billing and enterprise security features (SSO, RBAC, audit logs, SOC2 Type II in progress).

Product overview

Memora is an AI-powered company memory platform that captures and synthesizes every conversation, document, and decision across an organization. The platform consists of AI Search (core search and synthesis engine), Knowledge Graph (relationship mapping), Decision Timeline (project history reconstruction), Conversation Explorer (unified discussion threads), and Meeting Intelligence (automated meeting extraction). All capabilities connect via OAuth to Slack, Notion, Google, Jira, Linear, and GitHub. Available through an invitation-only Early Access program, with enterprise security features (SOC2 Type II, encryption, audit logs) and pricing structured as per-seat model.

Differentiator

Problem solved

Functional benefit

Products and services

• Memora AI Search An AI-powered natural language search capability that synthesizes answers from all connected tools (Slack, Notion, Google, Jira, Linear, GitHub) instead of returning links, including exact citations to source messages, docs and tickets and confidence scores indicating answer reliability. Designed for enterprise teams needing to surface institutional knowledge without keyword gymnastics.
• Knowledge Graph An AI-driven relationship mapping capability that automatically links people, projects and decisions into a living knowledge graph, letting users see connections beyond keyword matching across all indexed tools.
• Decision Timeline An automated project history capability that reconstructs how a project or initiative evolved over time, showing decisions in chronological order with context, dates and milestones so users can understand not just what was decided but why.
• Conversation Explorer A unified discussion capability that groups related conversations across Slack, email and documents into unified threads, letting users trace a topic across tools without manual cross-referencing.
• Meeting Intelligence An automated meeting extraction capability that pulls action items, decisions and identified speakers out of meetings so meeting context is preserved and queryable in the knowledge base.
• Early Access Program An invitation-only onboarding program for design partners offering unlimited search, unlimited connected sources, priority onboarding, enterprise security (SSO, role-based permissions), a dedicated Slack channel for support, and custom retention policies; pricing will evolve with product maturity. Targets enterprise teams evaluating Memora for production rollout.

Quantifiable outcome

• Engineers, sales and PMs spend a full day each week hunting for context

Segments6 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability4 records

Feature6 records

Partnerships

Six partnerships are on record, tiered core.

• SlackcoreTechnology or IntegrationOne-click OAuth integration for continuous indexing of Slack messages, threads and DMs. Primary communication channel indexed by Memora. Example shows 'atlas-team' Slack channel with Slack threads linked to decisions.
• NotioncoreTechnology or IntegrationIntegration with Notion for indexing documents and project documentation. Example shows Product Roadmap linked from Notion with documents accessible through Memora search.
• GooglecoreTechnology or IntegrationGoogle Workspace integration (Gmail, Google Docs, Drive) for indexing email communications and documents. OAuth connection enables continuous access to Google tools.
• JiracoreTechnology or IntegrationJira integration for indexing tickets, issues, and project tracking data. Example references Linear issues for audit deadlines and issue tracking.
• LinearcoreTechnology or IntegrationLinear integration for project and issue tracking. Example shows Linear used for tracking audit-related issues and project milestones.
• GitHubcoreTechnology or IntegrationGitHub integration for indexing code repositories, pull requests, and development discussions. Part of engineering team workflow indexed by Memora.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• Slack AI: Slack AI adds native AI-powered search, summarization, and recaps directly within Slack, where a large portion of Memora-indexed conversations live. Its first-party access to Slack data is a structural advantage over third-party indexers like Memora.
• Atlassian Rovo: Atlassian Rovo is an AI teammate that searches across Atlassian tools (Jira, Confluence) and integrates with third-party SaaS to surface knowledge and automate workflows. It directly competes with Memora's use case, with the advantage of being pre-integrated into Jira/Confluence customers.
• Coveo: Coveo is an enterprise AI search and relevance platform that connects to content systems, support tools, and SaaS applications to power unified search and recommendations. It targets similar enterprise use cases (knowledge retrieval, support, commerce) with a more established enterprise customer base.
• Notion AI: Notion AI adds AI search, summarization, and Q&A capabilities within Notion and across connected tools. While Notion is a core integration partner for Memora, its expanding AI features place it in direct competition for the same enterprise knowledge retrieval budget.
• Microsoft 365 Copilot: Microsoft 365 Copilot embeds AI search and synthesis across Teams, Outlook, SharePoint, and the broader Microsoft 365 suite, serving the same enterprise knowledge retrieval use case as Memora. Its incumbency, distribution, and bundled pricing make it the dominant competitive threat to standalone players.

Direct peers

• Sana: Sana is an AI knowledge platform that combines enterprise search, learning, and automation for large organizations. It indexes across the same SaaS tools and serves similar horizontal use cases (knowledge retrieval, onboarding, decision context) as Memora.
• Glean: Glean is the leading enterprise AI search platform, indexing documents, conversations, and tickets across the SaaS stack to deliver synthesized answers with citations. It is the closest direct competitor to Memora in product, target customer (large enterprises), and use case (organizational knowledge retrieval).
• Hebbia: Hebbia is an AI knowledge work platform that ingests large document sets and enterprise data sources to answer complex analytical questions. It targets enterprise teams with AI-driven research and synthesis workflows, overlapping directly with Memora's value proposition of surfacing institutional knowledge from multiple sources.
• Guru: Guru is a knowledge management platform that captures, verifies, and surfaces institutional knowledge within organizations via browser extensions and integrations. It addresses the same 'lost knowledge' pain point as Memora, though with a more curated knowledge base rather than continuous auto-indexing.

Emerging players

• Dust: Dust is an AI agents platform for enterprises that connects to company tools and data sources to build custom AI assistants. It targets the same enterprise productivity/knowledge retrieval use case as Memora with a more agent-oriented product framing.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks3 records

Key highlights5 records

Customer concentration

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Memora