ABOUT US

The Team
Behind LPS

Two specialists. 35+ years in construction, 21 years exclusively in precast. Industry experience meets doctoral research — applied directly to factory-floor problems, anywhere in the world.

who we are

Industry Experience
Meets Academic Rigour

Most consultancies bring either operational experience or technology expertise. LPS brings both — through a team that has worked at a senior level in precast manufacturing and produced original doctoral research on the digital systems transforming it.

Richard brings 35+ years in the construction industry, including 21 years working exclusively in precast concrete manufacturing. Scott brings 10+ years of production planning and management expertise, combined with a PhD in digital twin applications for predictive maintenance in construction — research that directly underpins the Digital Twin and AI Quality Control services LPS delivers to clients anywhere in the world.

35+

Years in
construction (Richard)

21+

Years exclusively
in precast (Richard)

10+

Years precast
production (Scott)

PhD

Digital twins &
predictive maintenance

Richard Kowalski - precast industry

35+

Years in
Construction

Co-Founder

Richard
Kowalski

Founder & Principal Consultant

Lean Manufacturing · DfMA · Construction 4.0 Strategy · Tekla Structures · Carbon Compliance


Richard has worked in the construction industry for over 35 years, spending 21 of those working exclusively in the precast concrete industry, including 16 years at O’Reilly Precast, one of Ireland’s leading manufacturers, as a Lead Designer and Technical Director. That production floor experience — from daily design and management through to complex client delivery — is the practical foundation of everything LPS does.

During his time in manufacturing, Richard introduced Tekla Structures 3D modelling to the business in 2005 and led the development of a standardised DfMA solution for Aldi retail stores across Ireland — a project requiring tight integration of design, production, and logistics into a repeatable delivery model.

Richard leads LPS’s lean manufacturing, DfMA, Construction 4.0 strategy, and carbon compliance service lines, and developed Carbon Tracker® — LPS’s specialist embodied carbon monitoring and management framework built specifically for precast producers.

2005

Introduced 3D MODELLING at O’Reilly Precast

21 years working exclusively in the precast concrete industry, building deep expertise in production, scheduling, and client delivery

2010

DfMA Programme — Aldi Retail Infrastructure

Developed a standardised Design for Manufacture & Assembly solution for Aldi stores across Ireland

2015

Founded Lean Precast Solutions

Established LPS as a specialist consultancy for precast concrete producers worldwide

Lean ManufacturingDfMATekla StructuresCarbon Tracker®Construction 4.0Production ManagementAUTOMATION
Co-Founder

Scott
Sheenan

PhD — Co-Founder & Technology Lead

Production Planning · Digital Twin Applications · Predictive Maintenance · AI Systems


Scott brings over 10 years of hands-on experience in precast concrete production planning and management, combined with doctoral research that places LPS at the leading edge of digital twin application in the construction sector.

His PhD focused specifically on digital twin applications in predictive maintenance and construction — original research that translates directly into LPS’s Digital Twin and AI Quality Control service lines. This is not theoretical: Scott applies academic rigour to real production constraints, bridging the gap between research findings and factory-floor implementation.

With a background spanning production planning, scheduling, and operations management in precast environments, Scott is uniquely positioned to design digital systems that work within real manufacturing constraints, not despite them.

Doctoral Research — Digital Twins & Predictive Maintenance

Scott’s PhD examined how real-time data from production assets can be used to predict equipment failure, reduce unplanned downtime, and inform maintenance scheduling in precast manufacturing environments — research with direct commercial application to the industry LPS serves.

Scott Sheenan - precast industry

PhD

Digital
Twins

Digital TwinsPredictive MaintenanceProduction PlanningAI SystemsData AnalyticsPrecast Management
Partners & Platforms

Backed by the
Right Partnerships

LPS’s in-house expertise is extended through formal partnerships that bring specialist technology depth to every client engagement.

Our partnership with DAC.digital covers AI agent development and Computer Vision deployment — giving LPS genuine software engineering capability alongside operational consultancy experience.

LPS is also the authorised sales agent for GMT Robotics in the precast concrete sector. GMT Robotics designs and manufactures advanced robotic welding systems for rebar cage prefabrication — technology that directly addresses one of the most labour-intensive and skills-dependent processes in precast production. As a sales agent, LPS brings this automation capability directly to precast manufacturers, helping them evaluate, specify, and invest in robotic rebar production that reduces costs and removes dependency on scarce skilled labour.

GMT Robotics — Robotic Rebar Automation

GMT Robotics systems automate the welding of rebar cages for beams, columns, walls, diaphragm walls, and tunnel segments — including long, flat products.

Their systems deliver up to 40% cost reduction per tonne compared with manual production and require up to 80% fewer workers on site. Contact LPS to discuss whether robotic rebar automation is the right next step for your plant.

DAC.digital — Technology Partner

Formal partnership for AI agent development, Computer Vision quality control systems, and intelligent automation deployment in precast production environments.

Together with LPS’s own Carbon Tracker® platform, these partnerships mean clients get both the industry credibility to earn trust and the technical capability to deliver.

Want to Work With a Team That Knows Precast From the Inside?