Our Technology

Our technology is the result of over five years of cutting-edge research and development at the University of Cambridge, created in close partnership with leading construction companies across the UK. This unique combination of academic rigor and real-world testing has produced a platform that brings unprecedented clarity, consistency, and intelligence to construction performance.

We combine advanced data integration, automated analytics, and domain-specialised metrics to transform fragmented project data into reliable, near real-time productivity insight.

What It Does

Integrates Siloed Data Automatically

Construction projects generate enormous volumes of digital and manual data; but most of it is fragmented across systems, formats, and subcontractors.

Our AI platform automatically ingests and integrates data from multiple sources, including:

  • Programme and planning data
  • Progress and field reporting systems
  • Imaging and visual data
  • Digital tools (BIM, sensors, logistics platforms, and more)
  • Contractor-specific datasets and spreadsheets

This creates a single, coherent, structured view of performance.

How It Works

Integrated Intelligence for Real-Time Productivity Insight

Our AI platform transforms fragmented construction data into structured, standardised intelligence that teams can act on. Using advanced data processing, AI-assisted cleaning and domain-specific modelling, we generate reliable productivity metrics such as activity-level production rates, flowline analysis, plan-vs-actual performance, and the identification of blockers and workflow constraints.

By continuously unifying diverse data streams, the system provides near real-time situational awareness; highlighting emerging delays, productivity losses, rework, and risks before they escalate. This visibility enables teams to intervene early, optimise workflows, and make faster, evidence-based decisions.

Because all projects are measured consistently, the platform also produces robust, evidence-based benchmarks that improve future planning. These insights strengthen tendering and pricing decisions, challenge unrealistic programmes, support MMC and modern delivery methods, and drive continuous learning across projects and organisations.

Our Underlying Technology

Custom Data Integration Framework

A flexible ingestion pipeline designed for construction’s messy, inconsistent data. Handles structured, semi-structured, and unstructured formats.

AI-Assisted Data Cleaning & Standardisation

Machine learning methods trained on real project data plus domain rules developed through Cambridge research.

Construction-Specific Analytics Engine

Purpose-built algorithms for:

  • Flowline modelling
  • Production forecasting
  • Constraint and blocker detection
  • Workspace and workflow analysis
  • Multi-project benchmarking

Novel Visualisation Methods

Developed through research and validated in industry pilots, our visualisations make ground truth immediately understandable and reveal insights traditional dashboards cannot show.

Scalable Cloud Architecture

Designed for multi-project deployment, security, and integration with existing digital ecosystems.