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AI Bid Analysis

Evaluate Bids in Minutes, Not Weeks.

Upload your scope of work and bid documents, and let AI compare them automatically. AI Bid Analysis generates scope coverage percentages, alignment scores, risk flags, and weighted scoring matrices — compressing weeks of manual evaluation into minutes.

Main features
01

AI Bid Comparison Engine

02

Scope Coverage Analysis

03

Risk & Compliance Flagging

04

Weighted Scoring Matrix

05

Multi-Bidder Comparison

AI Bid Evaluation Engine
01

AI Bid Evaluation Engine

Upload scope of work and bid documents. The AI automatically compares each bid against the SOW, generating scope coverage percentages and alignment scores for every section.

02

Multi-Bidder Comparison

Compare 5-15 bids simultaneously with side-by-side analysis. See which bidders cover which scope items, where gaps exist, and how bids rank on technical and commercial criteria.

Multi-Bidder Comparison
Risk & Compliance Flagging
03

Risk & Compliance Flagging

The AI identifies missing clauses, non-compliant terms, and commercial risks across all submitted bids — flagging issues that would take procurement teams days to find manually.

04

Weighted Scoring Matrix

Generate a weighted scoring matrix with customizable evaluation criteria. Adjust weights for technical capability, commercial terms, compliance, and schedule to match your priorities.

Weighted Scoring Matrix
Interactive Bid Q&A
05

Interactive Bid Q&A

Use Asif Chat to ask questions about specific bids — query clause-level details, compare bidder responses on specific items, and get AI-generated summaries of key differences.

AI Bid Analysis is most useful for:

Procurement Managers

Accelerated Bid Evaluation

Reduce bid evaluation from 2-4 weeks to 1-2 days with AI that reads every page, compares every clause, and scores every bidder against your scope.

Estimation Teams

Technical Bid Analysis

Compare technical proposals in detail — scope coverage, methodology, equipment lists, and compliance items — with AI highlighting gaps and differences.

Project Directors

Award Decision Support

Make informed award decisions with comprehensive bid comparison data — coverage scores, risk flags, and weighted rankings — instead of relying on summarized spreadsheets.

"We evaluated 8 bids for a $50M package in 2 days instead of 3 weeks. The AI found scope gaps in two bids that our team had missed in the initial review."

Head of Procurement
|
Giga-Project Owner, KSA
Giga project in the Kingdom of Saudi Arabia
Learn more

Frequently asked questions

How does progress tracking work?

Work packages are color-coded on the map by status — planned, in-progress, and completed — with drill-down access to percentage completion and contractor assignments. They are connected to the reporting engine.

Can I connect my Primavera P6 schedule?

Yes. GIS 2D integrates directly with Primavera P6, displaying activity dates, completion percentages, and dependencies on the spatial map.

What file formats does GIS 2D support?

GIS 2D supports DWG, DXF, and KML file formats for CAD and geospatial overlays, with file sizes up to 100 MB for CAD and 50 MB for KML.

How do approval workflows work?

Workflows are easily configured with multiple review/approval stages, role-based routing, and SLA timers. Documents advance through stages based on approver actions.

What document types are supported?

The DMS supports all standard construction file formats including PDF, DWG, DXF, DOC, XLS, images, BIM files, and more.

Does it integrate with Revit or AutoCAD?

Yes. Models from Revit and AutoCAD can be uploaded directly. The platform also supports IFC for open-standard interoperability.

WhiteHelmet products AI Bid Analysis works well with

Field Intelligence

Field Intelligence
DMS and Workflow
Project Management Intelligence
Contract and Claim Management
Project Management Intelligence
Asif AI
Artificial Intelligence

Project Management Intelligence

Project Management Intelligence
DMS and Workflow
Project Management Intelligence
Contract and Claim Management
Project Management Intelligence
Asif AI
Artificial Intelligence