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Manufacturing

Digital transformation for manufacturers who can't afford downtime — or guesswork.

We help plant and operations leaders replace manual reporting, disconnected systems and paper records with connected processes and AI that engineers trust.

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Industry context

Why now

Gulf governments are investing directly in factory modernisation — the UAE through Operation 300bn and its Industry 4.0 programme, Saudi Arabia through the Future Factories Program, which targets moving 4,000 factories toward automation. Funding and policy are in place; execution capacity is the constraint.

Sources: UAE Government portal; Saudi Ministry of Industry and Mineral Resources (see strategy report §3).

Shift reports on paper

Production data reaches management days late, and retyped.

Maintenance by memory

Breakdowns are logged in WhatsApp; nobody sees the pattern.

Quality records you can't search

Certificates, inspection records and SOPs in folders and inboxes.

Planning in spreadsheets

Production plans rebuilt by hand whenever an order changes.

ERP that doesn't reach the floor

The plant runs beside the ERP, not with it.

Specifications read manually

Customer specs and tenders checked line by line by engineers.

Use cases

Where we typically start in a plant

Use caseProblemApproachPractice
Digital shift & production reportingLate, manual production dataTablet capture + automatic daily reportAutomation
Maintenance request workflowUntracked breakdownsRequest → assign → close, with history and MTBF viewAutomation
Quality document intelligenceUnsearchable certificates and recordsAI extraction + search with citationsAI
Spec & tender compliance checkEngineers reading specs line by lineRequirement extraction with clause referencesAI
OEE & KPI visibilityNo shared performance pictureData model + dashboard from machine/ERP dataProduct / Data
Proof

Related project example

Engineering & contracting

Tender document intelligence

Challenge
Tender packs of dozens of pages; one expired certificate can disqualify a bid.
Solution
A system that reads tender documents (including scans), extracts each requirement with page and clause, and flags gaps and expiring documents before the deadline.
Stack
Document AI · OCR · retrieval
Impact
Reviewers check flagged items instead of reading every page, and missing or expiring documents surface well before the deadline rather than at submission.
Read the case →
Steel structures fabrication

Gridspan — space-frame design & estimating

Challenge
Every quotation needed hours of specialist structural-analysis work and depended on a few engineers.
Solution
A guided tool: site and roof dimensions in; code-based loads, structural analysis, member checks and steel weight per m² out — with engineer approval before use.
Stack
Python · FEM analysis · 3D
Impact
Sales can produce a first estimate without waiting for an engineer; engineers review and approve instead of modelling every roof from scratch — more quotations from the same team.
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Real-estate development

Cost scenario modelling

Challenge
In volatile markets, a single cost figure was not enough to decide whether to start a project.
Solution
Cost per m² under three scenarios, with confidence ranges, sensitivity analysis and source tracing for every number.
Stack
Data pipelines · scenario engine
Impact
Decision-makers see a range and what drives it instead of a single number, and can re-run scenarios when prices move without rebuilding spreadsheets.
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Operations & AI Readiness Assessment

Start with one production line.

A two-to-three-week plant assessment: process walk, data inventory and a ranked opportunity backlog for one line or area.

Book an assessmentinfo@doless.si
  • Process map of one priority operation
  • Systems & data inventory
  • Opportunity backlog ranked by value and effort
  • 90-day roadmap with budget ranges
  • Fixed scope, fixed fee — quoted after a 30-minute discovery call