qurix Technology | Data Platforms & AI for the Energy Sector

Energy Industry · Data · Artificial Intelligence

We combine deep domain expertise in the energy sector — from EDIFACT, GPKE and REMIT to Redispatch 2.0 and balancing-group management — with real delivery capability. Our focus: applying modern data and AI technologies in a targeted way to build productive, scalable solutions that hold up in operations. We work as a partner with our customers to create sustainable systems that deliver long-term value.

Portfolio

We focus on six clearly defined service areas where we deliver measurable results — for direct marketers with large asset portfolios, generators with cross-commodity structures, municipal utilities with regulatory demands, and distribution grid operators in the context of the energy transition.

Data Products

Data Catalog

Data Quality

Orchestration

Transformation

RBAC

Integration

Master Data Management

Data Protection

Data Architecture

Model Registry

Feature Store

LLM Integration Layer

Semantic Search Layer

Agent Framework

Knowledge Graph

SLA Monitoring

Cost Monitoring

Data Lake

Data Model

Data Products

Data Catalog

Data Quality

Orchestration

Transformation

RBAC

Integration

Master Data Management

Data Protection

Data Architecture

Model Registry

Feature Store

LLM Integration Layer

Semantic Search Layer

Agent Framework

Knowledge Graph

SLA Monitoring

Cost Monitoring

Data Lake

Data Model

Market Communication automation & regulatory compliance

EDIFACT, balancing-group management and Redispatch — automated and scalable for thousands of metering points.

Trading and risk data in real time

Cross-commodity position management, forward curves and exposure tracking on a consistent data foundation.

AI agents for analysis and reporting

LLM-based agents analyse market and risk data, answer questions and produce reports — in minutes instead of hours.

Scalable data architecture

Event-driven pipelines and AI integration — architectures that grow with your portfolio and absorb regulatory change.

Portfolio Scenario Agent

Builds and validates portfolio scenarios in natural language — automatically enriched with market and portfolio data.

Automated PnL and risk explanations

An AI agent translates complex metrics like PnL, VaR and exposure into clear, intelligible explanations.

Where to start? With the “Road to Data Excellence” workshop

In moderated workshops we sketch — together with your team — the future state of your data and AI landscape, and translate it into a concrete concept with a prioritised roadmap.

Discover the workshop Learn more

Tech Stack

Platform-agnostic, but with a clear opinion. We deliberately pick what fits your data landscape and maturity — instead of forcing every solution onto the same stack.

Data Platforms

Modern analytics and lakehouse platforms for scalable data processing.

Snowflake, Databricks, Microsoft Fabric, Azure Synapse

Storage & Formats

Open formats and lakehouse architectures as the foundation of your data platform.

Data Lake, Data Warehouse, Delta Lake, Apache Iceberg

Transformation

Data pipelines and workflow orchestration — versioned, tested, auditable.

dbt, Azure Data Factory, Apache Airflow, Apache Kafka

Cloud

Scalable cloud infrastructure with energy-sector-specific governance requirements.

Technology consulting Learn more

Infopool

A growing library of articles on the core data challenges of the energy sector — structured by stakeholder, topic and data perspective. Practical knowledge for decision makers who want to understand where the levers are.

Direct marketers 12 articles

Energy producers 12 articles

Municipal utilities 12 articles

Distribution grid operators 12 articles

Go to Infopool All articles