Quanteon GmbH — Switzerland

Governed autonomy.
Everywhere.
All the time.

Managed robotic inspection and remote operations for nuclear, hazardous process, and critical infrastructure environments.

We build the governed execution layer between robotic capability and operator trust, with supervised missions, defined operating envelopes, and auditable evidence.

Managed service Swiss incorporated EU and EFTA focus System-level assurance target
01 Problem

The inspection barrier is weaker than management assumes.

Critical infrastructure inspection in hazardous environments is stuck between two failures: manual rounds that are exposure-heavy and weakly governed, and generic robotics that improve access without closing the trust gap.

01

Human exposure is built into the current workflow.

Routine evidence capture still depends on people entering hazardous areas, radiation-controlled zones, and confined spaces. Reducing routine exposure is a safety requirement, not a nice-to-have.

02

The evidence chain is inconsistent.

Rounds vary by person. Data is captured unevenly. Findings are escalated informally. In high-consequence environments, routine inspection is part of the barrier system — today that barrier is often manual, variable, and weakly structured.

03

Generic robotics does not solve the trust problem.

Commercial platforms improve reach, but they are rarely designed first for approved configuration control, explicit degraded-mode behaviour, supervised operation, and auditable output chains.

04

The missing layer is governance.

The market does not lack robots. It lacks a governed operating model between robotic capability and plant trust.

Quanteon closes that gap.

02 Missions

Four mission families. One governed operating model.

Quanteon scopes missions by environment, payload, platform, and approval reality, then runs them as a managed service under a defined operating envelope.

M01

Indoor Nuclear Inspection

The problem

Dose exposure, access restrictions, and hard-to-reach indoor assets make routine inspection slower, riskier, and less repeatable than it should be.

The Quanteon answer

Supervised quadrupeds and indoor drones execute structured inspection routes in controlled plant environments, capturing repeatable visual, thermal, and environment-specific evidence without sending people into every space first.

Typical environments

Controlled plant buildings, auxiliary areas, cable spaces, turbine halls, radiation-relevant indoor zones.

Outputs

Inspection dossier, traceable mission log, tagged findings, operator review package.

M02

Hazardous Process Monitoring, Leak Detection, and Steam Trap Inspection

The problem

Refineries and process plants lose money and margin through leaks, failed steam traps, and inconsistent manual rounds in hazardous areas.

The Quanteon answer

Route-based robotic missions use thermal, visual, acoustic, and gas-related sensing to detect losses early, standardise rounds, and produce evidence that maintenance can act on.

Typical environments

Refineries, petrochemical plants, chemical processing sites, steam and process networks.

Outputs

Tagged anomalies, route history, prioritised findings, maintenance decision support.

M03

Critical Infrastructure Security and BESS Response

The problem

Security alarms are noisy, sites are dispersed, and approaching energy assets or battery storage systems after an event can be slow and risky.

The Quanteon answer

Governed robotic patrol and remote response missions verify alarms, provide stand-off thermal and visual confirmation, and support operator escalation with structured evidence.

Typical environments

Power plants, substations, industrial perimeters, restricted facilities, battery energy storage systems.

Outputs

Verified event record, thermal and visual evidence, patrol history, escalation package.

M04

Confined Space and Difficult-Access Inspection

The problem

Tanks, ships, voids, ducts, and enclosed industrial spaces are slow to inspect and dangerous to enter with weak prior visibility.

The Quanteon answer

Indoor drones and compact robotic systems inspect these spaces before personnel entry, reducing uncertainty and improving planning for follow-on work.

Typical environments

Industrial storage tanks, ships, voids, ducts, enclosed plant spaces.

Outputs

Visual record, structured inspection package, pre-entry decision support.

03 How it works

Five axioms. One inspection chain. A managed service model.

Doctrine

These are not slogans. They are engineering constraints.

01

Every input is measured.

Every sensor must have calibration traceability, known uncertainty, and a defined validity window.

02

Every failure is modelled.

Safety-relevant functions are analysed before deployment. Credible failure modes are identified, bounded, and assigned a response.

03

Every response is bounded.

Time-critical responses are automated. Judgement-critical decisions stay with humans.

04

Every state is monitored.

Health, position, environment, and operating limits are continuously checked and logged.

05

Every degradation is controlled.

Systems do not fail only in binary. They degrade. Quanteon detects degradation early and responds proportionally.

Inspection chain

The product is the governed chain, not the individual component.

  1. L1

    Mobility

    Quadruped or drone provides physical access to the inspection target. Reach, position, protect.

  2. L2

    Sensing

    Payloads capture calibrated, traceable measurement data with known uncertainty and known sensor health.

  3. L3

    Orchestration

    Mission software coordinates route logic, sensor triggering, timestamping, and enforcement of the approved configuration and operating envelope.

  4. L4

    Intelligence

    Analytics turn raw data into structured findings, anomaly flags, trends, and reportable outputs.

  5. L5

    Judgement

    Humans review exceptions, validate non-standard findings, and make decisions that require engineering or regulatory authority.

Service model

Quanteon delivers governed inspection as a managed service. Every mission runs under a defined operating envelope, approved configuration, and documented escalation path. Hardware risk stays with Quanteon. The client buys supervised execution, auditable evidence, and operational accountability.

The robot is part of the stack. The governed mission is the product.

04 Certification

The target baseline is the full system, not isolated components.

The assurance stack is both a barrier to entry and a technical moat. Quanteon treats documentation, test evidence, cybersecurity, and design rationale as core assets, not paperwork.

Hazardous environments
  • ATEX
  • IECEx
Functional safety
  • IEC 61508
  • ISO 13849-1
Cybersecurity
  • IEC 62443
  • Cyber resilience requirements
System compliance
  • Machinery regulation
  • Radio compliance
  • AI-related obligations where applicable

Pre-certification pilots run under a separate pilot configuration in non-hazardous zones. Hazardous-zone deployment follows certification completion.

05 Team

Built by operators from safety-critical industries.

Benjamin Regener

CEO · Co-Founder

Mechanical engineer, TU Munich. Fifteen years of experience across safety-critical assets in Europe and the Gulf, spanning nuclear operations, process safety, asset integrity, robotics evaluation, and commercial strategy in regulated environments.

Milan Misic

CTO · Co-Founder

Systems engineer and mission-critical software specialist. Built and deployed counter-drone command-and-control capability under live operational constraints. Focused on real-time control, systems architecture, and safety-critical software design.

Operator credibility plus mission-critical software discipline.

06 Contact

Bring us the mission others treat too lightly.

If the mission lives in a hazardous area, controlled zone, confined space, or critical asset environment, Quanteon will scope it against the real constraints, not the demo assumptions.

Request pilot brief
Location
Zurich, Switzerland