Personal.ai

Meet Theo: your technical support AI, purpose-built for your infrastructure.

Trained on your system architecture, escalation workflows, and past incident reports, Theo understands how your environment actually works, and how it tends to break.

He suggest recurring issue resolvement strategy, guides internal users through fixes, and keeps your knowledge base current without slowing your teams down.

Theo is a Personal AI, grounded in your operations, your protocols, and your institutional memory.

🚫 No LLM. Take the pledge at the link in our bio.

Everyone’s racing to scale AI. More agents, more noise, but less clarity. Few are asking the real question: does your AI actually know you, or is it just pattern-matching at scale?

We’re not chasing artificial general intelligence. We’re building something more grounded: artificial personal intelligence. It’s private, precise, and trained on your memory, not scraped from the internet.

This isn’t one-size-fits-all AI. It’s one model, built for one person.

No LLMs. No noise. Just Personal AI.

Sign the pledge at the link in our bio.

At Bloomberg Tech 2025, one theme continued to surface: the limitations of general-purpose AI are becoming harder to ignore.

From mainstage panels to one-on-one conversations at our closing reception, we heard consistent signals: Founders navigating the noise of model sprawl, operators are constrained by tools that don’t adapt, and enterprise leaders are questioning trust, memory, and control.
Personal AI was there to offer a new direction.

We introduced the No LLM movement to challenge the assumption that AGI is the goal. Our position is different:
AI should start with the individual, aligned with your workflows, language, and institutional knowledge.

This is what Personal Language Models are designed to do:
- Work with people, not around them
- Learn from proprietary knowledge, not public data
- Prioritize trust, memory, and ownership from day one

Thank you to everyone who joined the conversation. We’re proud to be building toward a future where AI is not just intelligent, but contextually useful and organizationally accountable.

🚫Join the movement at the link in our bio.