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Energy

Energy software that keeps up with the grid

Real-time data, automation and decision support for energy companies: we are automating real-time balance across 0.5 GW of grid capacity, and we bring senior engineering, reliable integrations and AI that is evaluated before it acts.

  • 130+People, remote across Poland
  • 6 wksTo a working product, factory model
  • 5.0Clutch rating from clients

This is for you if you need reliable data for grid operations

  • Decisions happen in seconds

    Streaming data, automation and alerts with the latency the grid requires.

  • Data comes from everywhere

    Meters, SCADA, markets, weather — integrated with fallbacks and reconciliation.

  • AI for forecasting and optimisation

    Models that are evaluated against history before they touch operations.

  • Reliability and compliance are non-negotiable

    Observability, audit trails and resilient infrastructure designed in.

Software for energy operations. From incoming data to operator decisions

How we work in energy

  • Real-time pipelines

    Streaming ingestion, processing and alerting built for continuous operation.

  • Forecasting & optimisation

    Models validated against your history, with humans approving actions where the stakes require it.

  • Integrations & dashboards

    Market, asset and sensor integrations with dashboards operators actually use.

Where energy software fails

Three risks we design against.

  • The silent data gap

    A missing feed that nobody notices until the settlement is wrong — monitored and alerted from day one.

  • Automation without a brake

    Every automated action has a threshold, a human override and an audit trail.

  • A platform nobody can change

    Documentation, tests and infrastructure as code so the system evolves with the market rules.

Automating real-time balance across 0.5 GW

An energy client needed real-time balancing automated across half a gigawatt of grid capacity.

The public case-study preview describes automation of real-time balancing across 0.5 GW of grid capacity. The full case study is being prepared.

Spacecraft illustration with Claude Code, Lovable, Codex and Cursor logos

Full case study coming soon.

Their ability to quickly deliver high-quality solutions while maintaining transparency in communication is rare.
Piotr GocałProject Manager, Matic SA (via Clutch)

What you get. Six ways we build energy software

Real-time data platforms

Streaming ingestion, processing, alerting.

Forecasting & optimisation

Evaluated models with human approval where it matters.

Market & asset integrations

With retries, fallbacks and reconciliation.

Resilient infrastructure

Infrastructure as code, observability, disaster recovery.

Operator dashboards & apps

Interfaces designed with the people on shift.

System audit

A ranked review of reliability, data quality and automation safety.

How we work

Continuous operation

We set deadlines once the design is final, counted in working days, not as dates promised in a sales call. You hear about a problem from us, with options, while there is still time to choose.

They don't just execute requirements. They become an extension of our team.
Fleishigs.comPartner, food media platform, client since 2019 (via Clutch)
  1. Scoping call

    What you want to achieve, by when, with what budget. We say on the call whether we are the right team, and what the smallest useful first step is.

  2. Workshop & plan

    A short workshop with your stakeholders: outcome, hard and soft deadlines, integrations, risks. You get a written scope, a price range and the split between what AI accelerates and what needs a senior engineer.

  3. Build in increments

    We build in deployable increments with code review and automated tests. You get a status daily at first, then weekly once trust is there. Scope lives in Linear; conversations happen in Slack.

  4. Launch & grow

    Monitoring, documentation and runbooks handed over, or a squad that stays. Either way the product can be operated without us.

Proof, not promises

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What clients say

Shahar Yahav
"Pirxey gave us the full package - frontend, backend, AI, and data - all under one roof, which meant we never had to coordinate multiple vendors. They thought like product owners, not contractors."
Shahar YahavCo-founder, SignalMesh
Katarzyna Moszczyńska
"What stayed with me was the communication. Fast, clear, and always with something concrete - a proposal, an update, a solution. We never had to wonder what was happening."
Katarzyna MoszczyńskaHead of Science Department, WSB Merito
Piotr Gocał
"Their ability to quickly deliver high-quality solutions while maintaining transparency in communication is rare."
Piotr GocałProject Manager, Matic SA
Marcel Brus-Ramer
"When you propose something to them, they don't simply say yes - they come back with a pro and con. You're not getting a classic developer who simply does and then you have to fix the thinking yourself. If I had another AI idea and wanted to pursue it, I would just use Pirxey."
Marcel Brus-RamerFounder, President, Elite Medical Prep
Oliver
"Well… didn't know what to expect but honestly, now I'm learning much from you guys. Had no idea an external tech partner can be so pro and organized."
OliverCTO, client under NDA
Piotr Gocał
"Their ability to quickly deliver high-quality solutions while maintaining transparency in communication is rare."
Piotr GocałProject Manager, Matic SA

The people who build for operations

  • Energy systems are judged at 3 a.m. We build the alerting and the runbooks before the feature, because that is when they are needed.

    Grzegorz

    Cloud and CI/CD

  • Energy systems are judged at 3 a.m. We build the alerting and the runbooks before the feature, because that is when they are needed.

    Krzysztof

    Architecture and APIs

  • Energy systems are judged at 3 a.m. We build the alerting and the runbooks before the feature, because that is when they are needed.

    Piotr

    Delivery and squads

  • Energy systems are judged at 3 a.m. We build the alerting and the runbooks before the feature, because that is when they are needed.

    Piotr

    AI research and adoption

Questions energy teams ask us

  • Our public energy preview describes automation of real-time balancing across 0.5 GW of grid capacity. The full case study is being prepared.
  • Only with thresholds, overrides and audit trails, and only after validation against history. Forecasting and recommendations first; automation where the risk is bounded.
  • Meters, SCADA, market APIs, weather and asset management systems — each with monitoring for gaps and a fallback.
  • Infrastructure as code, observability, disaster recovery drills and runbooks written before launch.
  • Audit trails and reporting exports are part of the domain model; the formats are scoped with your compliance owner.
  • We work remotely from Poland. We agree overlap hours with your operations team and define support responsibilities in the scope.
  • A scoping call and a discovery with operations; you get a written scope and a price range before any commitment.

Discuss your energy system

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