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Industries Engineering and construction

Engineering and construction

Every project learns from the last one.

We turn incident reports, safety inspections and project data into risk scores before work starts, and turn month end from days of spreadsheets into one pack.

A crane over a bridge under construction in a mountain valley
The industry

Where the data lives.

Contractors hold years of experience in incident logs, inspection reports and lessons-learned documents. Little of it reaches the planner starting the next job.

Who we work with Project planners, health and safety teams, commercial and finance teams.

The data challenge

Where data gets in the way.

Lessons sit in documents.

Incident and near-miss reports are written, filed and rarely read again.

Risk registers start blank.

Each new project rebuilds its risks from memory.

Month end takes days.

Finance packs are assembled by hand from several systems.

Site data arrives in every shape.

Forms, photos, spreadsheets and emails from many subcontractors.

How Jambo Labs helps

What we build.

01

Risk reports from past incidents

AI reads structured and unstructured records and scores each risk with the evidence behind it.

document AI · risk models

02

Month end, drafted

The management pack built and commented automatically from the ledgers.

data platform · reporting automation

03

Safety and incident analytics

Patterns across sites and subcontractors, surfaced before they repeat.

analytics · dashboards

Interactive demo

From a new job to a signed risk register, in 90 seconds.

A planner describes the work. Five years of incident reports are read, similar projects found, every risk scored with its evidence, and the register drafted for the planner to sign.

A contained demo on invented data. Nothing you do here leaves the page.

Techniques in this demoDocument AIStep 2, The archive: five years of free-text reports read into fields.Similarity searchStep 3, Similar work: past projects matched to the new job.RetrievalStep 5, The register: controls drawn from the contractor's own lessons learned.Risk scoringStep 4, Scores: likelihood and severity from the evidence.Automated MI reportingStep 6, Month end: the pack built overnight with drafted commentary.
Also possible

Where the same data goes next.

  • Cost-to-complete forecasting from progress and spend.
  • Subcontractor performance scored from site and safety records.
In practice

What our team has done before.

Work our team has delivered across their careers. Clients are anonymised.

AI products & automation
Risk scored before work starts

An AI risk report for a UK contractor, drawing on incident, safety and project documents to score new projects.

Analytics & data science
Month end in one pack

A month-end management information pack for a contractor's finance team.

Where to start

Start with one project type. We read its past incidents and show the risks a new job should expect.

The two-week diagnostic
Start a conversation

Tell us the report your team rebuilds every month.

No pitch. We will show you what your own records could already do.

Talk through your use case

Photo: Construction of the Chenab Bridge, Ojhayogesh, CC BY-SA 4.0.