Nessie GTM brain

Nessie synchronizes AI conversations and work traces into shared, permissioned context for AI-native individuals, teams and their agents.

category

AI agent context and team memory

market profile

  • text: Teams increasingly split work across AI chat, coding agents, meetings and notes, losing context between tools and sessions.
  • text: Agent memory is an emerging market with both developer infrastructure and organization-wide knowledge products.

personas

  • title: AI-native founder or individual operator
    pains:
    • Important decisions and research are scattered across chat histories
    • Context limits or tool switching interrupt long-running work
  • title: Engineering lead using coding agents
    pains:
    • Agents repeat investigation because previous sessions and decisions are inaccessible
    • Teammates cannot easily reuse successful workflows
  • title: Head of AI or IT
    pains:
    • Team knowledge needs access control and a clear data residency story
    • Inconsistent agent performance is hard to diagnose without traces

icp

  • text: Small AI-native teams and individual knowledge workers actively using multiple chat and coding agent providers.
  • text: Organizations that want centrally managed shared context, skills and team analytics.
  • text: Security-sensitive organizations that require on-premises deployment and control of data location.

message pillars

  • text: Make the team's AI work usable as context for agents.
  • text: Sync historical work and continuously ingest new activity.
  • text: Let agents resume work across tools without manual copying.
  • text: Carry source permissions through to agent access.

objections

  • objection: AI conversations contain sensitive information.
    response: Review permission controls and the stated privacy posture; assess self-hosting if data residency is a requirement.
  • objection: Our tools already have their own memory.
    response: Test whether a session can be recovered across providers and shared with a teammate, not just recalled inside one tool.
  • objection: Connecting another system adds administrative work.
    response: Pilot one account and verify backfill, retrieval and permissions before extending integrations.

competitors

  • name: Zep
    website: https://www.getzep.com/about/
    why: Agent context and memory infrastructure that can unify conversations and business data.
  • name: Mem0
    why: Agent memory platform offering persistent memory to AI applications.
  • name: Sentra
    website: https://www.sentra.app/articles/memory-infrastructure-for-enterprise-ai-agents
    why: Organization memory for teams and agents with source permissions.

influencers

  • name: Anna Y. Zhang
    url: https://nessielabs.com/about
    why: CEO and co-founder articulating the problem of lost AI context.
  • name: Tiger Wang
    url: https://nessielabs.com/about
    why: CTO and co-founder building the shared context infrastructure.

keywords

  • AI agent memory
  • shared AI context
  • search ChatGPT and Claude history
  • MCP team memory
  • AI conversation sync
  • coding agent session history
  • on premise AI memory

voice

  • Reflective and ambitious
  • Technical but accessible
  • Focused on compounding knowledge

signals

  • text: A team uses several AI assistants and coding agents, creating repeated context handoffs.
  • text: An organization is rolling out agent skills or MCP and needs shared context and permissions.
  • text: A buyer requires on-premises control over AI work history.

stack

  • ChatGPT
  • Claude
  • Codex
  • Cursor
  • MCP
  • Granola
  • Obsidian

pricing

model: flat
starting price: $28/month billed yearly

motion

hybrid

channels

  • SEO
  • X
  • LinkedIn
  • Discord
  • product-led downloads
  • founder demos

confidence

high

Founders

  • name: Anna Zhang
    title: Founder/CEO
    role: CEO
    bio: Co-Founder & CEO @ Nessie. Yale BS ‘24. Prev engineer @ Amazon's recommendation service. Shipped ML-powered features for billions of customers and led experiment that demonstrated a $200MM/year revenue impact. Obsessed with augmenting human cognition since high school, having conducted neuroscience research at The Rockefeller University. Founded Nessie with Tiger to build AI brains after hitting the 1-million-token limit in multiple Gemini chats.
  • name: Tiger Wang
    title: Founder/CTO
    role: CTO
    bio: Co-Founder & CTO @ Nessie. Yale BS ’24. Previously at Amazon, engineered planetary-scale authentication systems handling 40 billion requests/day. Promoted in a Tier-0 org in record time. Shipped an Android app with 70k+ users at age 13 and researched Linux kernel security at Yale. Expert in reverse-engineering complex systems.

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