0%
Manufacturing
Annual productivity improvement since 1970
IndustrialTransformationto2030.
We partner with construction, manufacturing, and heavy-industry leaders to build native capability in Applied AI and human amplification — addressing the fifty-year productivity stall through Frascati-compliant R&D&I programs.
- Years supporting Pillar 1 & 2 MNCs
- Distributed specialists, ~zero overhead
- Autonomous digital workforce
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The Challenge
Why industrial productivity stopped in 1970.
Labor-heavy sectors run into a structural ceiling first described by
Three numbers tell the story of the last half-century — and frame the work for the next five years.
0%
Construction
Annual productivity improvement since 1970
0%
Heavy Industry
Maximum annual gains under conventional methods
Threats to 2030
Where the curve bends — or breaks.
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Competitiveness erosion across advanced economies
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Margin compression for builders and manufacturers
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Slipping infrastructure and industrial-program timelines
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Workforce attrition under coordination overhead
The Framework
The Post-Baumol mechanism.
Three coordinated mechanisms, deployed together. The point is not to add intelligence on top of existing workflow — it is to remove the coordination loss that conventional methods cannot reach.
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Coordination Elimination
Wrap human decision points with computational inference so that uncertainty is resolved before execution begins — not absorbed as rework downstream.
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Human Amplification
Skilled operators retain authority. Real-time computational support sits beneath the decision, surfacing context, options, and constraints at the moment they matter.
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Manufacturing-Grade Certainty
Project-based delivery becomes process discipline. Variance falls. Outcomes are auditable. Programs ship to the same predictability bar as the production line itself.
The Distributed Network
Four units, one inference spine.
A remote-first network, organised around the cycle of a decision rather than the seats in a building. Every unit has authority where it has expertise — and a clean handoff at the boundary.
- The Builders
Applied Engineering Pod
- Senior ML-Ops Engineers
- Agentic Systems Architects
- Full-Stack Industrial Developers
- Vector Database Administrators
- The Translators
Domain Bridge
- BIM Integration Specialists
- Digital Twin Structural Engineers
- Process Mining Analysts
- Site Context Mappers
Civil and mechanical engineers re-trained in data science.
- The Auditors
Frascati Compliance Cell
- Technical R&D Authors
- Innovation Data Controllers
- Regulatory Analysts
- The Protectors
Data Sovereignty Unit
- Data Lineage Officers
- Security Architecture Leads
- IP Governance Officers
Autonomous Digital Workforce
24/7 agents alongside humans.
AI agents shoulder the repetitive layer — ingestion, pattern detection, compliance checks — so that human specialists spend their hours where judgment, not throughput, is the constraint.
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Scale without bloat
~30 specialists. No partner-pyramid overhead.
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Follow-the-sun delivery
Time-zone hand-offs across European, American, and APAC windows.
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AI-native by demonstration
We use the systems we build — internally, every day.
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Engineering-first credibility
Domain credentials before model credentials.
Applied AI Programs
Outcomes, not hours.
Programs run on
Frascati & Oslo as the operating manual.
- Scientific rigor in experimental development
- Documented resolution of technical uncertainty
- Verified innovation outcomes
- Audit-defensible research processes
Manufacturing-grade deliverables.
- Frascati-compliant innovation programs
- Verified productivity transformation, measurably documented
- IP assets and core-competence build-out
- Multi-jurisdiction R&D-incentive optimisation
Research Team
The people behind the inference.
Engineers, regulators, and data specialists — distributed across Europe and a new APAC node in China. Every member carries operational ownership of a specific slice of the inference cycle.
Core Team · Europe
Kevin Paul
Founder & Chief Applied AI Engineer
Civil and mechanical engineer, Harvard executive alumnus, with three decades scaling engineering-led technology businesses — including a founding-CEO turn at Kentz Technologies. Sets the applied-AI and inference strategy.
Ian McCullagh
Head of AI Onboarding & Operations Enablement
Senior operational leadership in mission-critical communications and secure infrastructure at Motorola Solutions. Turns high-reliability systems into scalable operating platforms; owns client onboarding and execution readiness.
Matthew Gallagher
Head of Compliance
Fourteen-plus years across research and regulatory compliance, including four at HMRC on the R&D tax-relief team. Now keeps every program inside the scientific, regulatory, and governance lines.
Pat Gayer
Head of Physical AI & PhyAI Integration
Full-stack engineer spanning automation, robotics, manufacturing, and business operations. Prepares physical environments for autonomy — typically unlocking 20–40% operational improvement before any robotics investment.
Simon Edmondson
Head of Data Migration & Security Engineering
Leads the secure movement, transformation, and governance of enterprise data underneath inference systems. Owns data integrity and lineage through legacy-to-AI transitions.
Horizon Lab · China
Our new APAC node — now operational.
Horizon Lab extends the network into APAC time-zones, with on-the-ground presence in Beijing and Shanxi.
JJ Gao
President, Horizon Lab China & Co-Founder
Co-founder leading Horizon Lab China's technology intelligence across AI, advanced manufacturing, robotics, and digital infrastructure. Connects European clients to China's innovation ecosystems and industrial transformation.
Gianmaria Lacchini
Field Research & Technology Scouting
Based in Beijing, conducting firsthand research across China's technology companies, robotics centres, and manufacturing hubs. Delivers primary intelligence on applied AI deployment and industrial transformation.
Wang Wenjun
Director, ACFIC Chamber — Kyrgyzstan Office
Successful entrepreneur anchoring the network in Shanxi — 35 million people, China's coal and heavy-industry heartland. Vice President of the provincial Environment & Resources Protection Association; Shanxi Merchants Chamber liaison in Kyrgyzstan.
Engage
Ready to build Post-Baumol capabilities?
A strategic review takes roughly six weeks. We assess your organisation's readiness for Applied AI, identify the highest-leverage inference loop in your operation, and scope a Frascati-compliant program from there.