Use Case · Green Energy
EU Markets · Flagship Use Case EU data residency ~5% policy-gated egress ATEX-aware vision GoO / CertifHy docs

AI for hydrogen energy — from electrolyzer telemetry to certificates, inside your perimeter

Electrolyzers, compressors and certification paperwork produce some of the most sensitive data in the energy transition. This use case shows how a hydrogen operation runs the full VectorMATRIX stack: edge inference on the plant floor, open-weight models for reasoning, the VectorMATRIX Sanitizer on every outbound call — and external cloud reasoning for only ~5% of requests, policy-gated and sanitized.

Electrolyzer hall of a green hydrogen plant with steel stacks and piping
Green hydrogen production hall. Telemetry like this never leaves the plant perimeter.

Hydrogen plants run on data they cannot afford to leak

Dispatch efficiency depends on telemetry a competitor would love to read. Certification depends on documents full of personal and commercially sensitive data. And the safety case is written in ATEX zones, not in slide decks.

01

Stack & balance-of-plant telemetry

Cell voltages, current efficiency, temperatures, pressures across electrolyzer stacks, compressors and dryers — the raw material for every optimization decision.

02

High-pressure maintenance

Compressors, valves and seals fail expensively. Vibration and acoustic signatures enable prediction — if the data stays usable and on-site.

03

ATEX safety vision

Zone 1/2 monitoring: flame and leak cues, PPE compliance, thermal anomalies at flanges — vision models running in ATEX-rated edge housings, offline-capable.

04

Certification & permits

RFNBO / RED III reporting, CertifHy Guarantees of Origin, ATEX documentation, permit files — document intelligence over decades of PDFs, in your perimeter.

One perimeter, every path governed — mapped to hydrogen

  1. 01

    Data Sources

    Electrolyzer PLC telemetry · gas sensors · drone & camera feeds · ERP/MES · permit and audit PDFs

  2. 02

    Edge Inference

    Anomaly detection on stack voltage and efficiency; vision models for leaks, flame and PPE — on-site, offline-capable

  3. 03

    Open-Weight Models

    Per use case: NVIDIA · Qwen · … — maintenance reasoning, report drafting, document extraction

  4. 04

    VectorMATRIX Sanitizer

    PII redaction and policy enforcement per data class; personnel pseudonymized before anything leaves

  5. 05

    Secure Cloud API

    Stateless, no retention — only ~5% of requests (novel failure patterns, complex certification reasoning)

  6. 06

    Cloud / VPS

    EU VPS (Hetzner, OVHcloud, IONOS) · AWS · Azure — EU residency by default, your choice

  7. 07

    Dashboard & Actions

    Efficiency KPIs, maintenance tickets, audit trail — decisions, alerts, reports

Watch the policy engine work

▶ Live: one hydrogen plant, every path governed

external reasoning only when necessary · ~5% policy-gated · everything else stays local

Diagram of the hydrogen plant AI flow: data from electrolyzer telemetry, ATEX safety vision and certification documents is processed by on-site edge inference and open-weight models. Requests that need external reasoning pass through the VectorMATRIX Sanitizer, which redacts personal data and enforces policy; blocked requests are handled locally. All results converge on a dashboard with decisions, alerts, and reports.

Packets processed
0
Sanitized
0
Policy blocks
0
Avg latency
—
  • Waiting for the first packet…
Plant engineer reviewing live dashboards on a rugged tablet at a hydrogen facility
Shift supervision at a hydrogen plant — dashboards and reasoning run on-site, not in a vendor cloud.
# Reference deployment — hydrogen plant (EU VPS or on-prem)

$ docker compose ps
├─ edge-ingest     PLC + gas sensors + vision (ATEX-rated housings)
├─ ai-engine       open-weight models — per use case (NVIDIA · Qwen · …)
├─ gateway         audited API gateway
├─ sanitizer       VectorMATRIX Sanitizer — PII redaction + policy
├─ secure-egress   Secure Cloud API — policy-gated, ~5% of requests
├─ vector-store    permits, GoO docs, maintenance history
├─ automation      tickets + certificate workflows
└─ edge-proxy      TLS + reverse proxy

electrolyzer → edge → open-weight models → sanitizer ⇢ secure cloud API (~5%). Raw data never leaves.

Built for Europe's hydrogen ramp-up

EU Hydrogen Strategy & IPCEI

Projects funded under IPCEI Hy2Tech / Hy2Use expect European data governance. This stack keeps plant data in the EU by architecture, not by promise.

RED III / RFNBO & CertifHy

Renewable-fuel certification needs auditable document trails. Document intelligence runs inside your perimeter — evidence stays exportable, data stays local.

NIS2 for energy

Energy operators face stricter security duties. Self-hosted models plus a policy-gated sanitizer shrink the attack surface and the audit effort at once.

8–12 %
efficiency headroom typically identified in electrolyzer dispatch vs. fixed setpoints
−30 %
unplanned compressor downtime with vibration-based prediction
days → hours
GoO and audit document preparation
100 %
telemetry and documents processed inside your perimeter

Illustrative ranges from comparable deployments — validated per pilot, never promised off a slide.

Deep-Dive Whitepaper · in preparation

Sovereign AI for Hydrogen Operations

Architecture, policy sets and the 90-day pilot blueprint — 20 pages, shipping soon. Leave your work email and we send it the day it ships.

No newsletter. Exactly one email when the whitepaper ships.

Running a hydrogen project in the EU?

Book a 30-minute discovery call. We map this architecture to your plant — honestly, including where it does not fit.