Agentic.swiss / Zurich, Switzerland
AI runs the company,
humans set the direction.
We build AI-first systems where agents execute most operations end to end, while people focus on strategy, trust, and creative breakthroughs.
01 / The Inversion
Machines by default.
Humans by exception.
Most companies run AI like an app on top of existing infrastructure. New features, same bottlenecks underneath. We didn't install an app. We rewrote the OS.
AI does 80-95% of the work from day one. Then you ask where humans are actually needed. Not the other way around.
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. This isn't incremental improvement. It's a fundamentally different kind of company.
80–95%
AI-operated
24/7
Always on
∞
Scale with compute
02 / How It Works
The entire operation, on autopilot.
AI agents execute the vast majority of all operations - research, content, analytics, decision loops, and iteration. End-to-end.
Institutional Memory
Nothing gets lost.
Every decision, conversation, and data point feeds a living model. No re-explaining, no context lost.
Autonomous Execution
Runs while you sleep.
Background tasks, scheduled jobs, proactive operations. The system anticipates what needs doing and does it.
Zero Overhead
No meetings. No Jira.
Agents coordinate at machine speed. Humans stay in the loop through dashboards, not bureaucracy.
Self-Improving
Gets smarter every day.
Builds, tests, and deploys new capabilities autonomously. Feedback loops drive real-time evolution.
Frontier Models
Best-in-class intelligence.
Runs on Claude, GPT, DeepSeek, or open-source. Swap the brain, keep the memory. Never locked in.
Multi-Agent
Agents orchestrating agents.
Specialist agents for research, ops, code, and communication — coordinated by a central intelligence.
03 / Insights
What we're watching.
Meta acquires Moltbook: Buying into the agentic web
Meta has acquired Moltbook, a viral social network for AI agents, bringing its creators into Meta Superintelligence Labs. The move isn't about advertising to bots; it's about owning the 'agent graph' and the orchestration layer for future agentic commerce.
The Economics of Neoclouds
Running a 'Neocloud' is incredibly sensitive to utilization and scale. While a 100% utilized GPU yields an impressive 28% CAGR, drops in utilization can quickly make broad market stocks a better investment. The real moat lies in solving the 'Tetris' problem of hardware scheduling.
Qwen 3.5: The Rise of Edge Intelligence
Alibaba just dropped Qwen 3.5, including ultra-compact 800M to 9B parameter models. By prioritizing 'intelligence density' over raw scale, these models are bringing frontier-level reasoning to smartphones, IoT devices, and local environments with zero-latency privacy.
Anthropic vs. Dept of War: The Red Line on Autonomous Weapons
Secretary of War Pete Hegseth has designated Anthropic a 'supply chain risk' after negotiations reached an impasse over two critical exceptions: mass domestic surveillance and fully autonomous weapons. Anthropic is holding its ground, citing safety and fundamental rights. A legal and national security showdown is now inevitable.
The Great AI Heist: Inside Anthropic's 'Hydra' Breach
Three labs. 24,000 accounts. 16 million prompts. Anthropic just exposed a massive, industrial-scale 'intelligence heist' by DeepSeek, Moonshot, and MiniMax. Using coordinated 'hydra clusters' to bypass export controls, these labs attempted to strip-mine Claude's reasoning DNA. The frontier isn't just about training anymore... it's about defending the vault.