Hyperspell GTM brain

Hyperspell gives teams building AI agents a connected, permission-aware company context and memory layer.

category

AI agent context infrastructure

market profile

  • text: Company knowledge is fragmented across messaging, documents and project tools, while conventional retrieval can miss relationships and changes.
  • text: Agent memory and context infrastructure is an emerging market with competitors including Zep and Supermemory.

personas

  • title: Head of AI or CTO
    pains:
    • Internal agents lack context about projects and decisions
    • A small engineering team must maintain ingestion, permissioning and freshness
  • title: Agent platform engineer
    pains:
    • Search fragments omit relationships needed for multi-step work
    • Multiple agent frameworks need shared context and source integrations
  • title: Customer operations leader
    pains:
    • Support answers are scattered across team tools
    • Automated workflows need reliable shared knowledge with controlled access

icp

  • text: Software and AI-native companies building internal or customer-facing agents with a lean engineering team.
  • text: Organizations using multiple SaaS systems such as Slack, Gmail, Notion and Linear, where access permissions matter.

message pillars

  • text: Provide a common context graph for any agent.
  • text: Connect existing tools with inherited permissions.
  • text: Serve many agent frameworks through a common API.
  • text: Continuously refresh company understanding.

objections

  • objection: Why not build our own RAG pipeline?
    response: Compare the cost of maintaining connectors, indexing, freshness and permissions against a pilot on a real agent workflow.
  • objection: What happens to sensitive company data?
    response: The company says it stores summaries and memories, inherits permissions, supports deletion, and does not use data to train foundation models. Verify controls in a security review.

competitors

  • name: Zep
    why: Provides context graph and memory infrastructure for AI applications.
  • name: Supermemory
    why: Offers memory infrastructure for AI products.

influencers

  • name: Conor Brennan-Burke
    url: https://www.linkedin.com/posts/conorbrennanburke_after-7-applications-to-y-combinator-we-activity-7369458874300489729-Q7Gv
    why: Co-founder who publicly discusses the product and onboarding.

keywords

  • AI agent memory
  • company context graph
  • enterprise AI connectors
  • permission aware RAG
  • agent context API
  • AI knowledge layer

voice

  • Technical and direct
  • Uses vivid brain and memory analogies
  • Practical about integration

signals

  • text: Building agents that need shared knowledge across several SaaS tools.
  • text: Engineering team is spending time maintaining RAG connectors and access controls.

stack

  • Slack
  • Gmail
  • HubSpot
  • Notion
  • Linear
  • Claude Code
  • Codex
  • Cursor

hiring

  • Founding AI Engineer
  • Founding Platform Engineer

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • X
  • blog
  • documentation

confidence

medium

Founders

  • name: Conor Brennan-Burke
    title: Founder/CEO
    role: CEO
    bio: Founder of Hyperspell, Context & Memory for AI Agents
  • name: Manu Ebert
    title: Founder
    role: Founder
    bio: 4x Founder, 2 exits, 15 years in AI & ML

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