Read construction tender documents
Interpret specifications, drawings, BOQs and conditions in their construction context.
AI tender intelligence for construction procurement
Turn Construction Tenders Into Procurement Intelligence
1Scope reads construction tender documents, extracts and normalizes scope and BOQs, generates RFQs, compares supplier quotes, and surfaces the omissions and inconsistencies that quietly decide whether a project makes money.
- Construction-specific AI
- Arabic + English
- Procurement workflow
The problem
Construction procurement runs on documents no system can read
Every tender arrives as hundreds of pages of drawings, specifications, bills of quantities and conditions — in mixed formats and mixed languages. The commercial decisions that follow are made under deadline, by hand.
Scope buried in documents
Requirements are scattered across specifications, drawings and preliminaries. Finding what is actually being asked for is manual reading, not search.
BOQs that never align
Bills of quantities arrive in inconsistent structures, units and descriptions, so nothing can be compared line-for-line without rebuilding it first.
RFQs rebuilt from scratch
Packages are re-typed into supplier requests, each time introducing new gaps between what the tender demands and what is priced.
Quotes that hide their differences
Supplier submissions use different wording, inclusions and exclusions. Comparing them fairly takes days and still misses exclusions.
Omissions found too late
A missing item or an unpriced clause is usually discovered on site — after the commitment, when it is a variation or a loss.
Two languages, one deadline
Arabic and English documents circulate in the same tender. Manual translation adds time and introduces commercial risk.
Industry context
Bad data is a structural cost, not an inconvenience
Independent industry research puts a number on what poor information quality costs construction globally. These figures describe the industry — not 1Scope performance.
$1.85T
Estimated cost of bad data to the global construction industry in 2020.
Autodesk + FMI, Harnessing the Data Advantage in Construction
14%
Of global construction rework was associated with decisions made using bad data.
Autodesk + FMI, Harnessing the Data Advantage in Construction
$88.69B
Estimated global rework associated with decisions made using bad-data decisions in 2020.
Autodesk + FMI, Harnessing the Data Advantage in Construction
Figures are cited as published industry research and are presented here as market context.
The opportunity
One of the world's largest industries is still waiting for its intelligence layer
Construction is enormous, structurally under-digitized, and now within reach of language models that can finally read the documents the industry runs on.
~$15T
Approximate global construction output in 2025.
McKinsey
~$22T
Potential global construction demand by 2040.
McKinsey
10% vs 90%
Construction productivity improved approximately 10% from 2000–2022, compared with approximately 90% in manufacturing.
McKinsey
The bottleneck is comprehension
Construction's commercial workflow is blocked on reading and reconciling documents — exactly the task that has only recently become tractable.
Tendering is the wedge
Tender and procurement is where scope, cost and risk are decided. Solving it creates the structured foundation everything downstream depends on.
Domain beats generality
Construction language, BOQ structures, trade packages and bilingual documents demand a specialized system, not a general document tool.
How it works
From tender documents to comparable, defensible decisions
A single pipeline that takes the documents you already receive and turns them into structured procurement intelligence.
- 01
Tender documents
Drawings, specifications, BOQs and conditions ingested in Arabic and English.
- 02
Understand
Construction-trained AI interprets the documents in context, not as raw text.
- 03
Extract scope & BOQ
Requirements, quantities and line items are extracted with their source references.
- 04
Normalize
Descriptions, units and structures are standardized so packages become comparable.
- 05
Generate RFQs
Clean, complete supplier requests are produced directly from normalized scope.
- 06
Compare quotes
Supplier responses are aligned line-for-line, including inclusions and exclusions.
- 07
Surface omissions & inconsistencies
Missing items, contradictions and unpriced requirements are flagged before commitment.
Capabilities
Built for the work tendering teams actually do
Seven capabilities, one continuous procurement workflow.
Extract scope
Pull the required works out of the documents, traceable back to where they were stated.
Extract and normalize BOQs
Turn inconsistent bills of quantities into a standardized, comparable structure.
Generate RFQs
Produce supplier requests that carry the full scope, without manual re-typing.
Compare supplier quotes
Align submissions line-for-line so price differences are real, not formatting artefacts.
Detect omissions
Identify scope that was never priced, requested or answered.
Detect inconsistencies
Flag contradictions between documents, quantities and supplier responses.
Why 1Scope
Construction-specific intelligence, not generic document AI
General-purpose document tools summarize. Procurement needs structure, comparability and defensibility.
Trained on construction's commercial language
Trade packages, BOQ conventions, preliminaries and specification structures are treated as first-class concepts.
Genuinely bilingual
Arabic and English tender documents are handled natively within a single workflow.
Workflow, not a chat window
The output is a normalized procurement dataset — scope, BOQs, RFQs and quote comparisons — not a conversation.
Traceable by design
Extracted items keep their link to the source document so commercial teams can verify, not just trust.
Who it's for
Built for the teams that own tender and procurement outcomes
Contractors
Bid faster and with more confidence in the completeness of the priced scope.
Procurement teams
Issue consistent RFQs and compare supplier submissions on equal terms.
Tendering teams
Cut the manual reading and re-typing that consume tender periods.
Quantity surveyors & commercial teams
Catch omissions and inconsistencies before they become variations and claims.
Market strategy
Built From MENA. Designed for a Global Construction Industry.
MENA is our starting market: a region building at scale, running tenders in both Arabic and English, and under-served by construction-specific AI. It is a demanding environment to build in — and the right one to build for.
A bilingual proving ground
Arabic and English tender documents in the same project make MENA the hardest useful place to solve this problem first.
Construction at scale
The region's programme of work generates continuous tender and procurement volume across trades.
Globally portable
Scope, BOQs, RFQs and quote comparison are universal to construction procurement — the product travels beyond the region.
Vision
The intelligence layer for construction's commercial information
Tender intelligence is the entry point. The same structured understanding of scope, quantities and pricing extends across construction's commercial workflow — from procurement into contracts, variations, cost control and supplier performance.
- Start where the money is decided: tender and procurement.
- Build a structured, traceable record of scope and cost.
- Extend across the commercial lifecycle of a project.
See 1Scope on a real tender workflow
Book a demo and we'll walk through how tender documents become structured scope, RFQs and comparable supplier quotes.