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Solutions & capabilities

How we approach representative problems.

The workflows below are illustrative examples of how we would approach common challenges. They are not descriptions of completed client engagements.
Example 01GIS & Geospatial SolutionsIllustrative

Turning drone imagery into structured geospatial datasets

1 · Problem

Large volumes of aerial imagery are captured, but features remain locked inside pixels and cannot be queried or measured.

2 · Approach

  1. Imagery preparation and georeferencing
  2. AI-assisted feature extraction
  3. Manual review and topology correction
  4. Attribute structuring

3 · Potential deliverable

Validated vector layers (buildings, roads, vegetation, utilities) ready for GIS analysis.

Example 02GIS & Geospatial SolutionsIllustrative

Converting CAD drawings into GIS-ready data

1 · Problem

Engineering and planning drawings exist in CAD but cannot be integrated with spatial databases or maps.

2 · Approach

  1. Layer and geometry audit
  2. Coordinate system alignment
  3. Conversion and cleaning
  4. Attribute mapping

3 · Potential deliverable

Georeferenced GIS layers with consistent attributes and documentation.

Example 03Custom Software & Application EngineeringIllustrative

Custom software for specialised operational workflows

1 · Problem

A team relies on spreadsheets and manual hand-offs for a process no packaged product handles well.

2 · Approach

  1. Workflow mapping with stakeholders
  2. Data model and interface design
  3. Iterative build
  4. Deployment and training

3 · Potential deliverable

A focused web application that fits the process, with role-based access and reporting.

Example 04AI & Intelligent AutomationIllustrative

Integrating AI into existing data-processing systems

1 · Problem

Manual review of documents or images slows down a pipeline that otherwise works well.

2 · Approach

  1. Task and data assessment
  2. Model evaluation
  3. Integration with human review
  4. Measurement against baseline

3 · Potential deliverable

An AI-assisted step inside the existing system, with clear accuracy reporting.

Example 05Web3 & Blockchain DevelopmentIllustrative

Developing blockchain-based application components

1 · Problem

A product needs verifiable on-chain records without rebuilding the entire application.

2 · Approach

  1. Architecture and chain selection
  2. Smart contract development
  3. Testing and review
  4. Application integration

3 · Potential deliverable

Tested contracts and integration components connected to the existing product.

Example 06IT Infrastructure & Systems EngineeringIllustrative

Designing reliable application and data infrastructure

1 · Problem

Deployments are manual, monitoring is limited and recovery from failure is uncertain.

2 · Approach

  1. Current-state review
  2. Target architecture
  3. Containerised deployment
  4. Monitoring and backup setup

3 · Potential deliverable

Documented, repeatable infrastructure with monitoring, backups and runbooks.

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