The Planet Has One Compute Budget
AI systems are drifting from reality. Compute is centralized, wasteful, and opaque. Models hallucinate because they aren't grounded in the world they claim to understand.
We're building the infrastructure to fix that — sovereign, sustainable, and verifiable.
The Drift Problem
Every AI system mediates reality. Between what's actually happening and what a model tells you is happening, there's a gap — and that gap is growing. We call this reality drift.
Centralized Compute
Three US hyperscalers control 67% of global cloud infrastructure. Your data, your models, your sovereignty — rented, not owned. The US CLOUD Act means your EU data is one subpoena away.
Wasteful AI
Training a single large language model can emit 300+ tonnes of CO2. GPU cycles burned on ungrounded inference while real-world verification goes unfunded. One planet, finite energy.
Ungrounded Models
AI systems that operate without corrective feedback loops drift silently from reality. The system keeps working. The answers stop being true.
Three Commitments
We build sovereign AI infrastructure and help teams deploy it. Everything we ship serves these three principles.
Sovereign Compute
Distributed GPU infrastructure that you own, not rent. EU-native, GDPR-compliant, no CLOUD Act exposure. Built on open-source serverless runtimes so compute stays where it belongs — with the people who need it. Ready for EU AI Act enforcement.
Reality Alignment
AI that measures its own drift from ground truth. We ground models in verifiable, real-world data through OSINT verification, continuous re-evaluation, and transparent scoring — because a model that can't be audited can't be trusted.
Sustainable AI
Every GPU cycle has an environmental cost. We research efficient inference, distribute workloads across underutilized hardware, and measure the real sustainability impact of the organizations we analyze. Ethical AI isn't an afterthought — it's the architecture.
What We're Building
Not another cloud provider. Sovereign infrastructure that makes AI accountable to reality — and a team that helps you deploy it.
Distributed GPU Network
Serverless GPU runtime connecting underutilized hardware across Europe via Tailscale mesh networking. Contributors share compute, earn rewards, and keep AI infrastructure distributed instead of concentrated. 40-60% cheaper than AWS on-demand pricing for equivalent GPU instances.
Reality Verification Engine
AI-powered OSINT analysis that crawls, evaluates, and scores real-world organizations against their sustainability claims. Greenwashing detection backed by verifiable data, not marketing promises.
Drift Measurement Research
Developing frameworks for measuring how AI-mediated systems diverge from ground truth over time. Representation fidelity, feedback loop integrity, and semantic preservation — quantified, not assumed.
Consulting & Advisory
We help teams deploy sovereign AI infrastructure. Autonomous build systems, distributed GPU clusters, and technical advisory for engineering leaders navigating EU compliance. Learn more.
Amsterdam Pilot: Grounded in Reality
We started by pointing our verification engine at Amsterdam's sustainability ecosystem. Real organizations, real scores, real accountability.
Our Research Philosophy
We believe AI should be accountable to reality, not just to benchmarks. The systems we build must continuously measure their own alignment with ground truth, because unmeasured drift creates systematic blind spots in decision-making.
Operational continuity without correction is the primary risk — systems may function smoothly despite increasing misalignment between reported and actual conditions.
We're developing a framework called the Drift/Fidelity Index to measure this gap quantitatively across AI-mediated systems.
This means every compute cycle we spend should serve verification, not just generation. Every organization we score should be auditable against observable reality. Every GPU in our network should be used efficiently, because there is no second planet to absorb the energy cost of wasteful AI.
We don't believe in AI safety as a checkbox. We believe in building systems where the architecture itself prevents drift — feedback loops, ground-truth audits, transparent scoring, and distributed ownership so no single entity controls what the system considers "true."
Where Funding Goes
Specific allocations from our seed round. Full breakdown in the investor deck.
GPU Infrastructure
Distributed compute network expansion. More worker nodes across EU, sovereign hosting, no hyperscaler dependency.
Legal & Compliance
EU AI Act compliance, GDPR-native architecture, corporate structure (Netherlands BV + Stichting).
City Expansion & Team
Scale the verification engine from Amsterdam to 3 more EU cities. First full-time hires.
Let's Build
Need sovereign AI infrastructure? Looking to invest in EU-native compute? Have GPU cycles to contribute? We'd like to hear from you.