Accelerate Engineering Reviews and Eliminate Costly Errors

Scroll to explore

Clients & partners

PETRONAS PING Petroleum MMC Hexagon Tuah

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.

A rule-based 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.

Deliverables read

PFDP&IDH&MBDesign Basis Equipment LayoutDatasheetSLDLoad List

Find the flaw before it becomes the failure.

AI that verifies complex engineering designs across documents, drawings and disciplines.

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.

Comparison

Against conventional manual review.

Conventional

Manual review

Documents in isolation

Consistency
Varies by reviewer and workload
Error detection
Often reactive

URUS AI

Automated validation

Cross-document checks

Consistency
Repeatable and consistent
Error detection
Earlier and more systematic

How it works

A four-stage pipeline. PFD, P&ID and ISO drawings enter at the left; the extract stage lifts
                 symbols and instrument tags off them; the connect stage links those items across documents; the
                 verify stage checks each one and issues a finding against its source.
Ingest → extract → connect → verify
  1. 01

    Drawings in

    P&IDs and layout drawings, scanned or native. Project-specific documents only.

  2. 02

    Extraction

    Equipment, tags, fluids, hazards, rooms and locations are read off the page. No assumptions.

  3. 03

    Cross-check

    Equipment is linked to location, and interactions that no single document reveals are surfaced.

  4. 04

    Rules applied

    Your project standards, safety philosophy and segregation rules — not a generic template.

  5. 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.

A glass shield holding a combination lock and a sealed data cube, with a ribbon of data passing
                 through it.

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%.”

Tier-1 client trial

Review cycle.

Was 21 days

< 5 days

Blind trial.

100%

Discrepancies identified

Incorporated.

2025

By engineers, for engineers

Book a demo Read the use case register
URUSAi Get started