§ 10 — WEPEX/Lab
WEPEX/Lab
1,000 software and systems engineers building the digital platforms that let Wepex design, construct, and operate infrastructure at a scale impossible with traditional methods.
Overview
Digital engineering at scale
WEPEX/Lab was founded in 2016 to solve a problem that no off-the-shelf software could: how to digitally coordinate the design, construction, and operation of infrastructure projects spanning hundreds of kilometres and tens of thousands of workers. A 22 km tunnel needs a 22 km digital twin. A 3.8 GW offshore platform needs real-time construction monitoring across 400 simultaneous activities. A 35-year concession needs predictive asset management from day one.
Today, WEPEX/Lab employs 1,000 engineers across studios in New York, London, Oslo, Dubai, Singapore, and São Paulo. Our teams span computational design, BIM and digital twin engineering, data science and machine learning, robotics and autonomous systems, and cybersecurity. Every Wepex division uses WEPEX/Lab tooling, and an increasing number of clients license our platforms directly for their own asset management.
The practice is organised into four platforms — each serving a distinct phase of the infrastructure lifecycle — and a central R&D group that explores emerging technologies including generative AI for engineering, quantum-optimised scheduling, and advanced simulation for climate resilience.
Platforms
Four platforms, one lifecycle
Computational design & BIM coordination
WEPEX/Design
WEPEX/Design is our platform for generative and parametric design, BIM coordination, and design-to-manufacture workflows. It integrates natively with Revit, Tekla, Rhino/Grasshopper, and Bentley OpenBuildings, but adds a coordination layer that no single BIM tool provides. Every discipline — structural, mechanical, electrical, public health — publishes to a federated model that WEPEX/Design checks in real time for clashes, code compliance, and constructability. On the Brenner Base Tunnel, WEPEX/Design reduced coordination change orders by 34% compared to conventional BIM-only workflows.
142
Projects
48,000
Clash checks/day
28%
Avg. change order reduction
Real-time construction monitoring & control
WEPEX/Build
WEPEX/Build gives project managers a live operational picture of every active site. It ingests data from IoT sensors, drone surveys, GPS-tagged plant, and manual logs, then applies anomaly detection to flag delays, safety risks, and quality deviations before they cascade. On the Red Sea Link — with over 400 simultaneous construction activities — WEPEX/Build processed 2.1 million sensor events per day and identified three critical path risks that were resolved before they affected schedule. The platform also integrates with scheduling tools including Primavera P6 and MS Project, providing predictive milestone forecasts updated every 15 minutes.
380+
Active sites
2.1M
Sensor events/day
12 days
Avg. schedule recovery
Predictive asset management
WEPEX/Operate
WEPEX/Operate extends digital delivery into the operational phase. It ingests as-built models, real-time SCADA data, maintenance records, and weather forecasts to predict asset degradation and optimise intervention schedules. For our Concession & PPP portfolio — 38 assets worth $8.1 billion — WEPEX/Operate has reduced unplanned downtime by 41% and extended average asset useful life by 6.3 years versus industry benchmarks. The platform is also licensed by six external infrastructure operators, generating $47M in annual recurring revenue.
38
Assets monitored
41%
Downtime reduction
$47M
ARR
Robotics & autonomous plant control
WEPEX/Autonomous
WEPEX/Autonomous develops and deploys autonomous construction systems — from driverless dump trucks in open-pit mines to robotic tunnel boring machine guidance. Our autonomous fleet operates on three continents, moving 18 million tonnes of material in FY2024 with zero lost-time injuries. The platform uses real-time LiDAR, computer vision, and reinforcement learning to navigate dynamic construction environments where GPS is unavailable. Current development focuses on autonomous marine survey vessels and robotic bridge inspection drones.
18M
Tonnes moved
0
LTI
14
Patents held
Case Studies
Selected projects
Brenner Base Tunnel — Digital Twin
The 64 km Brenner Base Tunnel connecting Austria and Italy is the longest railway tunnel under construction worldwide. WEPEX/Lab built a full lifecycle digital twin covering geological conditions, structural modelling, MEP coordination, and construction sequencing for the 22 km section under Wepex's contract. The twin ingested data from 1,200 sensors and 400 construction activities daily, enabling real-time clash detection and predictive scheduling. The result: 34% fewer change orders, 12% reduction in design iteration cycles, and a construction sequence optimisation that saved 47 days on the critical path.
Red Sea Link — Predictive Maintenance Platform
For the $6.4B Red Sea Link Phase II offshore platform, WEPEX/Lab developed a predictive maintenance platform that integrates real-time SCADA feeds from 8,400 sensors with historical failure data and weather forecasts. The platform uses ensemble machine learning models to predict equipment failure 72 hours in advance with 89% accuracy, enabling condition-based maintenance that has reduced unplanned downtime by 41% since commissioning. The system now processes 2.1 million events per day and is being extended to cover the entire Red Sea Link corridor.
Atlanta Transit — Digital Command Centre
The Atlanta Transit Corridor East Loop Extension involves 14 km of new light rail, 8 stations, and 3 interchange hubs. WEPEX/Lab deployed a unified digital command centre — combining WEPEX/Build for construction monitoring with WEPEX/Design for real-time BIM coordination — across 12 separate contractor organisations. The platform processed 340,000 activities across 4 concurrent work fronts, achieving 98.3% schedule adherence versus an industry average of 78%. The City of Atlanta has since licensed the platform for ongoing asset management.
R&D
Research & emerging technology
WEPEX/Lab invests $78 million annually in R&D, focused on five areas that we believe will fundamentally change how infrastructure is designed, built, and operated over the next decade.
Generative AI for engineering
Developing large language models fine-tuned on structural engineering codes, geotechnical data, and construction specifications to automate design review, code compliance checking, and specification drafting. Current prototypes achieve 94% accuracy on Eurocode compliance checks.
Quantum-optimised scheduling
Partnering with IBM and D-Wave to apply quantum annealing to multi-constraint construction scheduling problems. Preliminary results on the Red Sea Link schedule optimisation show 18% improvement in critical path efficiency versus classical optimisation.
Digital materials passport
Building a blockchain-based materials tracking system that creates immutable records of every material in a structure — composition, origin, carbon footprint, and recyclability. Piloted on the Houston Flood Barrier System, tracking 42,000 tonnes of steel and concrete.
Autonomous marine survey
Developing autonomous surface vessels for hydrographic survey and subsea inspection. Our ASV-01 prototype completed a 12-hour autonomous bathymetric survey in the North Sea with accuracy matching crewed survey vessels at 40% of the cost.
Climate resilience simulation
Building high-resolution physics-based simulation tools that model infrastructure response to extreme weather scenarios — storm surge, flash flooding, extreme heat, and seismic events. Integrated with WEPEX/Operate for real-time asset protection during extreme weather events.
Join WEPEX/Lab
WEPEX/Lab hires software engineers, data scientists, computational designers, roboticists, and cybersecurity specialists. If you want to build the platforms that construct the world's most ambitious infrastructure, we want to hear from you.