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Companion Intelligence

ci.computer
Industry
Personal AI, Local AI Infrastructure
Headquarters
Los Angeles, CA
Employee Count
12
Year Founded
2025
Amount raised
Boostrapped
Business model
Bundled hardware & software subscription
Early traction
$500K+ ARR with accelerating sales growth
Investors

N/A

Setting the Scene

  • AI is quickly becoming your second brain, but the question is who owns it.

  • The AI revolution has largely been built on a tradeoff: sharing more of your data in exchange for smarter, more personalized experiences.

  • As AI becomes more integrated into daily life, users are contributing more of their emails, files, conversations, and memories to systems they don't own.

  • This week’s company is building a privacy-first local AI platform that gives users the benefits of modern AI without giving up ownership of their digital lives.

In a Sentence

Companion Intelligence is building a local AI platform that combines private infrastructure, personal AI agents, and a persistent digital memory into a single system users own and control.

  • Local AI: AI that runs on a physical box you connect to your computer that users own and control, keeping models, data, and automations on-site rather than in the cloud.

  • AI Agents: Specialized AI assistants that can perform tasks, answer questions, automate workflows, and take action on your behalf.

  • Digital Memory: A searchable, AI-powered record of your files, conversations, photos, notes, and activities that gives AI long-term context about your life.

Bulleted Version

Companion Intelligence is like owning a home instead of renting an apartment, except the thing you own is your AI.

Due Diligence

What We Like

  • Large Emerging Market: Personal AI is evolving into a new computing category, combining personal computing ($155.19B) and personal AI assistants ($14.67B), creating a large opportunity for platforms that own the relationship between users, data, and AI.

  • Growing Trends: Companion Intelligence is positioned at the intersection of three major trends: AI adoption, growing demand for data ownership, and the shift toward privacy.

  • Integrated Product Strategy: By controlling the hardware, operating system, agent ecosystem, and data layer, Companion Intelligence can deliver an experience that software-only competitors may struggle to replicate.

Potential Risks

  • Consumer Education: Most consumers have never considered owning their AI infrastructure, requiring Companion Intelligence to not only sell a product but help define an entirely new category of personal AI ownership.

  • Hardware Complexity: Building and supporting a physical appliance adds capital constraints, inventory, manufacturing, customer support, and upgrade-cycle challenges that pure software AI companies do not face.

  • Energy Usage: Running a local AI appliance could create meaningful electricity costs, especially for users operating larger models, multiple agents, or always-on automations.

Founder Profile

AH
Anselm Hook, CTO
Previously in R&D at Mozilla, CTO at Morpheous XR.
KB
Kyle Baran, Chief Architect
Previously an Architect at Ethereal Engine and Principal Engineer at Napster.

Comps

  • Rabbit: Consumer AI hardware for interacting with apps and digital services; Companion Intelligence differs by using local compute and private memory for longer running agentic tasks.

  • Sanctum: Software that lets users run open-source AI models locally on their own devices, less focused on custom agentic software and dedicated hardware.

  • Limitless: Consumer AI wearables that capture and summarize conversations as a personal memory layer; potentially a valuable data source Companion Intelligence could integrate into its memory layer.

WhyCompanion Intelligence

By combining local infrastructure, AI agents, and Digital Memory into a single platform, Companion Intelligence is thinking outside of the box to solve personal AI ownership.

*Nothing in this content constitutes investment or legal advice. Conduct independent diligence and consult professional advisers before making investment decisions.*

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