Electrification shifts demand
Transport, heating and industry are switching to electricity, and the load curve no longer resembles the one from a decade ago. Forecasting capacity today relies on data that most billing systems simply do not collect.
Energy and utilities
A sector in which an investment decision has a horizon of a decade, and a regulatory requirement can change within a year.
In the energy sector we build systems and solutions based on artificial intelligence that must work in the daily process and pass an audit.
Below are five challenges of this sector and five areas in which we help: from a diagnosis before an investment to the choice between the cloud and an on-premises server room.
Key challenges of the sector
Distributed sources in the balance
Photovoltaics, wind and storage enter the grid faster than the processes that manage them are created. A single micro-installation connection is cheap; the same steps repeated at scale are not.
Network assets are ageing
Replacement decisions are made on the basis of scattered documentation and the knowledge of individual people. Prioritising investment turns out to be a data problem before it becomes a budget problem.
Risk of a major outage
Growing variability of generation and dependence on control systems raise the cost of every minute of supply interruption. Dispatchers need a single picture of the situation, not a dozen or more screens read in parallel.
Regulation in the daily process
The requirements of KSC, GDPR and the AI Act do not end with the audit. They must work where the customer is served. Compliance becomes a functional requirement of the system, not an appendix to it.
How we help
Diagnosis before investment
We start with an as-is audit: what actually works, where the data sits and what it costs to keep the current state running. The result is a roadmap with an order of magnitude for the budget, not a presentation about transformation. The conversation starts with what can be postponed or simplified, not only with what is worth buying.
Technology advisoryIntegration of disparate systems
Billing, asset registers, spatial systems and control systems rarely talk to each other without an intermediate layer. We build integrations and operational portals that bring these sources together into a single picture for the operations team. We design the integration layer so that it can be maintained without us.
Systems deliveryArtificial intelligence over the company's knowledge
Language models over a base of regulations, documentation and ticket history, with control over the sources and a trail showing where each answer came from. This is how we work today for a large energy group. A model that cannot be checked and justified does not enter the production process.
Data and artificial intelligenceCompliance built into the system
KSC audit preparation, SZBI development and internal regulations, carried out together with the technical team. Requirements go into the backlog as acceptance criteria, not into a separate document. The audit trail is created while the system runs, not reconstructed after the fact.
Compliance and riskCloud or an in-house server room
Some data cannot leave the client's infrastructure, and that is the starting point, not an exception. We design the architecture so that the data stays where the regulation requires: within the European Union or in the client's infrastructure. The same code and the same release process, regardless of the target environment.
Cloud and infrastructureOur track record in this sector
From this sector
Work for clients in this industry.
Track record from other industries
Capabilities we bring here
Work from other sectors where the substance is technology, not the domain. Each carries the sector it comes from.
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Intranet and corporate knowledge management
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Systems and integrations
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ERP, CRM, OCR and debt collection automation
A debt collection company handles cases automatically: the system recognises documents and links data from ERP and CRM.
Systems and integrationsAutomation and artificial intelligence
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JIRA customisation and automation of HR, IT and legal processes
A public institution runs HR, IT and legal matters in one tool tailored to the way it works.
Systems and integrations
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Refactoring of infrastructure monitoring for scalability
A US internet provider monitors its infrastructure with a system that keeps up with the network’s growth.
Systems and integrationsCloud and infrastructure
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Consolidation of customer and campaign data
A European financial institution sees customer and campaign data in one place instead of many sources.
Automation and artificial intelligence
OriginBanking, finance and debt collection
Global JIRA implementation and standardisation across a group of companies
The companies of a multi-industry banking group work in one tool to one standard, rather than each in its own way.
Technology advisorySystems and integrations
OriginNo industry assigned
Real-time telemetry and network ETL
A US cloud and security company analyses network traffic as it happens, not after a delay.
Automation and artificial intelligenceCloud and infrastructure
OriginNo industry assigned
Migration and automation of a workflow system in Azure
A European company runs its case workflow in the Azure cloud, and operating the system no longer takes manual work.
Cloud and infrastructureSystems and integrations
OriginBanking, finance and debt collection
DevOps and CI/CD automation for a web application
A European bank releases application changes automatically, without building and publishing versions by hand.
Cloud and infrastructureSystems and integrations