Data BridgeLet's talk
Wind farm at sunset
Data Science for Energy & Utilities

From data chaos to EBITDA advantage.

We move energy operators from manual decisions to precise, data-driven optimization of wind farms, tariffs and grids. Data Bridge is a service and product company specialising in Energy & Utilities — turning real-world, large-scale energy data into decisions that generate revenue.

Explore our servicesSee case studies

Energy Intelligence

An intelligent data layer for the entire energy sector.

We combine market data, grid data (DSO/DNO) and commercial data into a single, multi-dimensional energy intelligence layer — ready for analytics and decision-making.

  • 01Service & product company for Energy & Utilities
  • 02Built on real-world, large-scale data sources
  • 03Unified data models and alerts
  • 04Operational optimization and revenue growth
  • 05Integration with existing systems

Our story

From data to production.

From the first datasets in 2018 to a commercial deployment in 2024 — funded R&D and a robust ML pipeline brought us to enterprise-scale production.

  1. Stage 1
    2018
    Foundation

    We start collecting raw energy data from multiple sources — with long-term data advantage in mind, not short-term tools.

  2. Stage 2
    2020
    Breakthrough funding

    We secure €1.1M of European funding (80% grant, 20% own contribution) for R&D and infrastructure.

  3. Stage 3
    2020–2024
    Build phase

    We build a full data pipeline and machine-learning architecture, structuring vast datasets for production use.

  4. Stage 4
    2024
    Production

    Deployment at the largest oil & gas company in Poland — commercial launch of our services.

The challenge

3 trillion smart-meter records — scattered, inconsistent and unused.

We cleaned them, unified them and turned them into a real source of operational decisions.

  • ▸Data scattered, inconsistent and unstructured
  • ▸No standardization or shared schema
  • ▸Raw meter readings with no business use
  • ▸Cleaned and unified datasets
  • ▸Scalable pipelines for high volume
  • ▸Converting raw data into action

Services

A unified energy data layer.

We aggregate and combine web, grid and commercial data into a multi-dimensional energy intelligence layer — ready for analytics and decisions.

01 · Web data

Market signals

Price trends and external variables driving the energy market.

02 · Enterprise (DSO/DNO)

Grid and infrastructure

Grid-level consumption data and operator infrastructure.

03 · Bought data

Commercial data

Commercial datasets: customers, contracts, consumption profiles.

Self-learning model

Adapts in real time.

Learns from historical and live data, automatically improves accuracy and scales across many "dirty" domains.

  • ●Learns patterns from historical and live data
  • ●Automatically improves predictions as more data arrives
  • ●Handles raw, real-world data
  • ●Scales across energy, utilities, sales, pricing and customer intelligence
  • ●Not static — evolves with the data
  • ●Outcome: from data through predictions to decisions

Case studies

Deployments that generate revenue.

Wind turbine
Case study · 01

Wind farm servicing

A bad service window drains profit. Ignoring market signals means downtime, lost revenue during peak hours and untapped asset potential.

  • Lost Production — turbines idle in strong wind.
  • Missed Revenue — servicing during peak price hours.
  • Asset Inefficiency — assets don't react to market signals.

Methodology

Optimal service window

The system identifies periods of high wind, high prices and demand — prioritizing 100% production during peaks. Windows of low wind and low prices automatically become service windows, with no impact on peak production.

Salesperson with an AI mobile app
Case study · 02

AI tariff sales

We modernize the energy contract sales process — replacing manual calculations with real-time AI pricing recommendations in a mobile app for sales reps.

  • Before
    Manual cycles

    Slow, error-prone tariff calculations.

  • Solution
    Recommendation engine

    Mobile app with instant tariff suggestions.

  • Outcome
    Higher conversion

    Shorter B2B and retail sales cycles.

Transformation

Intuition→Prediction

A fundamental shift in how wind farms and energy operators run.

BEFORE
MDecisions based on experience
⚡Reactive service planning
▼High risk of lost production
⋯Scattered, manual procedures
AFTER
AIDecisions based on market models
◎Proactive real-time optimization
▲Maximum uptime during peak hours
◈Standardized, scalable workflows
The bridge is live. Your data is the current.

Scale

Predictive power at scale.

Prediction accuracy is built on massive amounts of data. That is our foundation and our competitive edge.

3B+
energy data records
100%
ingest from SCADA systems
Real-time
market and price signals
API
METEO PL and Windfinder

Founding Members / Board

A senior team on the front line.

We combine deep data science expertise with decades of operational experience in the energy sector.

Radosław Wosik
Chief Executive Officer
radek@databridge.pl
Bartosz Charzyński
Chief Strategy Officer
radek@databridge.pl
Daniel Moczydłowski
Chief Technology Officer
radek@databridge.pl

The future of energy is calculated, not guessed.

Turn operational data into measurable EBITDA advantage. Let's talk about a deployment in your organization.

Address

Tomasza Zana 43 / 2.1
20-601 Lublin, Polska

Contact

tel. +48 794 304 595
radek@databridge.pl