OUR EXPERTISE

Expertise in data and forecasting.

From the structure of the data to the purpose of the model, we define the work around your business needs.

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OUR EXPERTISE

Our areas of expertise.

MODELLING APPROACHSchematic illustration

Different sources. One framework.

Data analysisWe organise data sources and examine patterns and relationships in the context of the business problem. Schematic illustration.
  • Data sources
  • Analysis framework
  1. Data sources
  2. Data analysis
  3. Decision support

Data analysis

We examine data sources, patterns and relationships to create an understandable foundation for business decisions.

Data assessment · Analysis · Decision support

DATA AND OBJECTIVE

Data sources, prediction targets and evaluation criteria are agreed as part of the project scope.

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MODELLING APPROACHSchematic illustration

From signals to failure insight.

Failure predictionWe analyse unusual patterns in device behaviour and assess them for predictive modelling. Schematic illustration.Device behaviourTime →
  • Device signal
  • Anomaly pattern
  1. Device data
  2. Anomaly analysis
  3. Failure insight

Anomaly analysis and failure prediction

We examine unusual behaviour in device data and work on models for failure prediction.

Device data · Anomaly analysis · Prediction

DATA AND OBJECTIVE

Data sources, prediction targets and evaluation criteria are agreed as part of the project scope.

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MODELLING APPROACHSchematic illustration

From observations to forecasts.

Weather forecastingWe consider historical weather data alongside the prediction target and forecast horizon. Schematic illustration.Weather variableTime →Forecast starts
  • Past observations
  • Forecast range
  1. Weather data
  2. Forecast model
  3. Weather insight

Meteorological forecasting

We develop forecasting models from meteorological data and assess forecasting needs alongside the conditions of the data.

Meteorological data · Modelling · Forecasting

DATA AND OBJECTIVE

Data sources, prediction targets and evaluation criteria are agreed as part of the project scope.

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COMPLEMENTARY CAPABILITIES

From analysis to application.

Big data analytics

We combine, clean and prepare data from different sources for analysis. Decision support reports and data infrastructure make the wider picture of your business visible.

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What do we need to start?
Your data sources, sample records, reporting needs and access requirements.
What do we deliver?
  • Data quality assessment and data dictionary
  • Cleaning and consolidation pipeline
  • Decision support reports or dashboard

The exact scope and deliverables are agreed together during discovery.

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Predictive models

We build models from demand, sales, inventory and operational data. Scenarios and uncertainty are considered together to give your planning a stronger foundation.

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What do we need to start?
Dated historical records, the variable to predict, planning horizon and known external factors.
What do we deliver?
  • A forecasting model compared with a baseline
  • Validation results and uncertainty intervals
  • Scenario outputs and a monitoring approach

The exact scope and deliverables are agreed together during discovery.

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AI agent automation

We develop AI agents that interpret documents, retrieve information and carry out workflows. Permissions, checkpoints and steps that need human approval are part of the process.

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What do we need to start?
Process steps, sample documents, connected tools, user permissions and approval points.
What do we deliver?
  • Pilot agent workflow
  • Tool connections and human approval steps
  • Evaluation with sample tasks and a usage guide

The exact scope and deliverables are agreed together during discovery.

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Project feasibility

We assess technical feasibility, costs and operating conditions, then clarify the assumptions and risks together.

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What do we need to start?
Project objectives, user needs, existing systems, budget range and timing expectations.
What do we deliver?
  • Market and technical feasibility assessment
  • Cost scenarios, assumptions and risks
  • A pilot and roadmap to test assumptions

The exact scope and deliverables are agreed together during discovery.

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Data and system integration

We connect models and automation to your existing software. API connections, data pipelines and custom decision support tools make the solution part of daily work.

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What do we need to start?
Existing systems, API or file interfaces, data schemas, access permissions and operating requirements.
What do we deliver?
  • Data flow and connection design
  • Integration, error handling and monitoring
  • Setup, maintenance and usage documentation

The exact scope and deliverables are agreed together during discovery.

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HOW WE WORK

Clear scope. A measurable approach.

We consider the problem, the data and the evaluation method within one framework.

  1. Needs and scope

    Agree the business problem, expected output and boundaries of the project.

  2. Data assessment

    Examine data sources, quality and suitability for the work.

  3. Model and evaluation

    Build the analytical or predictive approach and assess it against agreed criteria.

  4. Delivery and next steps

    Clarify the outputs, intended use and any further work together.

WORK WITH US

Let’s assess your data and objectives together.

Share your analysis or forecasting needs. We can discuss the available data, technical scope and expected output together.

Discuss your project