Find the flaw before it becomes the failure.
AI that verifies complex engineering designs across documents, drawings and disciplines.
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Accelerate Engineering Reviews and Eliminate Costly Errors
Clients & partners
To strengthen engineering assurance and project delivery efficiency through practical, auditable, and industry-aligned AI technology.
URUS AI Sdn Bhd is a homegrown Malaysian company, founded by engineering veterans to transform oil & gas project delivery and assurance.
Our platform
Four capabilities,
one platform.
Verify faster. Decide smarter. Operate safer.
An engine that reads your actual project documents, compares the specified values and design logic against your standards, and returns what it finds as a structured report. It never writes to your documents.
Better vendors. Faster decisions.
AI that evaluates technical offers, exposes deviations and ranks vendors against your requirements.
↗Know what’s safe. Prove what’s compliant.
AI-powered assurance of offshore critical safety functions — built for safer, audit-ready operations.
↗Plans shouldn’t be static.
Dynamic Interactive Planning with Live Oversight, Mitigation & Analytics turns planning into a living intelligence system that sees change, anticipates risk and guides action.
↗How it works
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01
Drawings in
P&IDs and layout drawings, scanned or native. Project-specific documents only.
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02
Extraction
Equipment, tags, fluids, hazards, rooms and locations are read off the page. No assumptions.
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03
Cross-check
Equipment is linked to location, and interactions that no single document reveals are surfaced.
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04
Rules applied
Your project standards, safety philosophy and segregation rules — not a generic template.
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05
Clear insight
What the issue is, why it matters, and a recommendation — with the source reference attached.
Findings
Process · Medium
Fuel Gas System — DA vs P&ID vs DBM
7% design pressure mismatch within the same system — reconcile before procurement.
1790 kPag ↔ 1680 kPag
HVAC · High
HVAC Load Calculation vs HVAC Datasheet
≈148% excess cooling capacity specified for HPU-3010 — package significantly oversized.
18.1 kW ↔ 44.9 kW
Electrical · High
Cable Sizing Calculation vs SLD
36% discrepancy in air compressor motor rating — affects cable sizing, protection and load list.
75 kW ↔ 55 kW
Commercial · Critical
Cost Estimate vs MTO
≈20% weight overstated between two documents that should agree. Flagged before commercial pricing was fixed.
Estimate weight ↔ MTO weight
Mechanical · Critical
MEL vs Equipment Layout — compressor count
50% reduction in installed air compressor capacity — register shows two packages, layout shows one.
2 × 100% ↔ 1 × package
Safety · Assurance
SSPS Assurance Task vs Test Report
Safety system performance standard assurance tasks cross-checked against the issued test report.
2 documents reconciled
Safety · Assurance
SSPS Assurance Task vs MPLAN
Assurance tasks verified against the maintenance plan — gaps between required and planned assurance surfaced.
Gaps surfaced
Equipment tags and figures are substituted. Discrepancy types, documents and reasoning are unchanged.
Product demo
See it running.
Trust & security
Hosting
AWS cloud, secure login
Delivered as SaaS on AWS. Upload, track and download deliverables behind authenticated access.
Encryption
AES-256, in transit and at rest
Running on SOC 2 compliant infrastructure with AWS WAF protection in front of the platform.
Access
NDAs and role-based permissions
Engagements are governed by NDA. Access is scoped by role, and files are watermarked and version-controlled.
Retention
Deleted after delivery
Files are securely deleted after delivery unless you ask otherwise. Never used to train public models.
Proof
What our clients say about us
Manual checking effort.
30–50%
Tier-1 operatorMultidiscipline trial
“Accurate in identifying inconsistencies across disciplines… reducing manual checking efforts by 30–50%.”
Review cycle.
Was 21 days
< 5 days
Blind trial.
100%
Discrepancies identified
Incorporated.
2025
By engineers, for engineers