About ZAUBERN Technologies
Zaubern is building Decision Execution Infrastructure for regulated AI. The company exists because once AI can act, the real bottleneck is no longer intelligence. It is whether execution is admissible, bounded, and independently reviewable.
Our Mission
Zaubern separates probabilistic reasoning from deterministic authority so high-stakes AI decisions do not depend on raw model behavior alone. We focus on the decision boundary where a proposal becomes a real-world effect.
The goal is not to describe AI risk more elegantly. The goal is to make admissibility legible, enforceable, and replayable for the teams that carry operational, legal, and regulatory responsibility.
What makes the system different
Separation of cognition and authority
- • Models and agents may propose actions, plans, and tool calls.
- • They do not receive direct execution authority on governed paths.
- • The control surface stays outside the model.
Deterministic authority artifacts
- • Symbolic Logic Models and policy constraints evaluate admissibility.
- • Deterministic control matters because runtime authorization alone is not the full story.
- • The governed decision path must remain legible outside the originating model.
Evidence-bound execution
- • High-stakes execution stays tied to evidence and provenance.
- • The aim is replayable proof, not reconstructed trust after the fact.
- • Buyers, security, legal, and regulators should be able to inspect the same control story.
Our Story
Zaubern started from a simple systems view: once AI moves closer to action, the problem is no longer just model quality. The problem is whether an organization can prove what was allowed to happen at the moment a consequential decision became real.
That leads to a different product shape than dashboards, policy prose, or generic observability. It requires a governed execution boundary, deterministic authority, and evidence that survives outside a vendor interface.
The company is building around that boundary because serious buyers are converging on the same need: not just better models, but credible authority over what those models are allowed to do.
Our Team
The team combines product, engineering, safety, and operational experience around one hard problem: making high-stakes AI execution governable without turning the whole system into theater.
Our Headquarters
Explanada de España 1, Entresuelo Derecha
03002 – Alicante, Spain
Operating with EU and US teams for follow-the-sun coverage, ensuring continuous support for enterprise clients across global jurisdictions.
Fran Fernandez
CEO and Founder
Leading Zaubern around the thesis that AI needs deterministic authority at the decision boundary, not just more policy language.
Niek Bijman
Platform Lead
Focuses on platform architecture, control surfaces, and the technical path from AI proposals to governed execution.
Chengjie Li
Safety Systems Lead
Works on runtime safety systems, decision controls, and verification tooling for high-assurance environments.
Santo Reik
COO
Oversees operations, pilots, and customer execution across regulated deployment environments.
Talk with the team behind the decision boundary
Use WhatsApp or email for category briefings, technical reviews, and scoped pilot conversations.
Use WhatsApp for category briefings, pilot scoping, and quick review of a workflow that needs a governed decision boundary.
+1 404 624 6871
Send technical context, procurement questions, or pilot notes when the conversation needs more structure than chat.
Category clarity
We can help separate runtime authorization, observability, and policy process from the actual decision execution problem.
Pilot scoping
The best first conversation is usually one workflow where allow, block, escalate, and replay all matter.
Cross-functional review
Product, security, legal, and procurement can use the same conversation if the proof boundary needs to be clear early.