Zurich, Switzerland
The future
runs itself.
AI-first infrastructure, autonomous systems, and the tooling layer for what comes next.
01 — Our Philosophy
We flip the
question entirely.
Traditional companies bolt AI onto human workflows — patching an old car with new parts. We design the entire business around AI handling the vast majority of work, and only insert humans where they are strictly irreplaceable.
As AI capabilities advance, human involvement shrinks further. The end state is a fully autonomous company — running 24/7, scaling by adding compute, not headcount.
80–95%
AI-operated
24/7
Always on
∞
Scale with compute
02 — How It Works
Your business, on autopilot.
An AI operating layer that sees everything, remembers everything, and acts on your behalf — 24/7.
Persistent Memory
It remembers everything.
Cross-context memory across every channel — email, chat, calls, docs. Your AI builds a living model of your business, preferences, and ongoing work. No re-explaining, no context lost.
Autonomous Execution
Runs while you sleep.
Background tasks, scheduled jobs, proactive outreach. It doesn't wait for instructions — it anticipates what needs doing and does it.
Any Channel
Meets you where you are.
WhatsApp, Slack, email, SMS. One agent, every interface. Communicate naturally, get work done through the tools you already use.
System Control
Full stack access.
File systems, shell commands, APIs, databases. Your agent operates your entire infrastructure — not just chat.
Self-Improving
Writes its own skills.
Encounters a new task? It builds, tests, and deploys new capabilities autonomously. The system grows smarter through use.
Frontier Models
Best-in-class intelligence.
Runs on Claude, GPT, or open-source models. Swap the brain, keep the memory. Always on the frontier.
Multi-Agent
Agents coordinating agents.
Specialist agents for research, ops, code, comms — orchestrated by a central intelligence. Delegation at machine speed.
04 — Why AI-First
A fundamentally different kind of company.
Traditional companies are inherently human-constrained — slow, expensive, inconsistent, and hard to scale. We operate on a different level.
Faster
Instant execution — no delays from human scheduling, fatigue, or context-switching. Continuous iteration, zero downtime.
Cheaper
Marginal cost approaches zero for most tasks. No salaries, benefits, or office overhead for routine work.
Higher Quality
AI performs repetitive tasks with perfect consistency, superhuman speed in data processing, and no emotional bias.
Massive Scale
Growth limited only by compute and data, not hiring, recruiting, or training bottlenecks. Runs 24/7 across every time zone.
03 — Insights
What we're watching.
OpenAI hires Peter Steinberger to lead personal agents
Sam Altman announced the hire on Feb 15. Steinberger — founder of PSPDFKit, creator of the open-source agent project OpenClaw — will drive OpenAI's next-gen personal agent push. OpenClaw moves to an independent foundation with OpenAI sponsorship. The real signal: multi-agent is now 'core to product offerings,' not a research demo.
Opus 4.6 vs GPT-5.3-Codex: released minutes apart
Anthropic jumped to 1M context with 76% MRCR accuracy (previous best: 32.6%). OpenAI countered with a 25% speed boost and $1.75/M input pricing. Different bets — Anthropic on context fidelity, OpenAI on developer ergonomics. Releases timed within minutes of each other. The zero-sum attention game is real.
Tavus Raven-1: emotional intelligence for AI
A multimodal perception model that processes audio, visual, and conversational cues in real time to understand emotional state. Not sentiment analysis — actual emotional perception. The deeper play: applying this to content analysis, moving from surface metrics to genuine comprehension of how content connects.