Turning deep tech and infrastructure ideas into structured opportunities

My work sits at the point where deep technologies, infrastructure, customers and capital have to line up. That includes transport decarbonisation and hydrogen projects, but also wider deep-tech and industrial opportunities where new capabilities need to be turned into coherent propositions.

The central task is usually the same: connect the technology to the right problem, structure the demand and delivery model, and make sure the economics, partners and timing work as a single system. Transport and fleet systems are a current flagship domain, because they expose these issues very clearly — but the underlying approach applies across energy, mobility, robotics, industrial and other hard-tech contexts.

Domains I currently work in

• Transport decarbonisation and hydrogen infrastructure — fleet transition, energy supply, utilisation, infrastructure logic and project structure.
• Energy systems and infrastructure — opportunities shaped by grid constraints, power demand, timing and capital intensity.
• Robotics and automation — where new sensing, control and system capabilities need to be connected to real deployment opportunities, including work linked to Kirisense.
• Deep tech and emerging technologies — helping early-stage and scaling technologies find the right commercial structure, partners and route to market.

What I help clients do

Most engagements start when there is clearly an opening, but the opportunity has not yet been assembled well enough to move quickly.

That may mean a fleet transition that works in principle but not under real utilisation. It may mean a hydrogen refuelling concept without secure anchor demand. It may mean a robotics or deep-tech capability with technical promise but an unclear commercial path. It may mean a board or investor discussion where the numbers exist, but the structure behind them is still weak.

The work is usually a combination of clarifying where the real opportunity sits, identifying the constraints that matter most, connecting the operating model to the infrastructure or market logic, and shaping something robust enough to progress.

Typical situations

• A transport, infrastructure or deep-tech opportunity looks strong at a headline level, but the delivery model does not yet line up.
• A hydrogen project has strategic logic, but utilisation, anchor demand or station economics are still weak.
• A robotics or automation capability is compelling technically, but the market entry point or deployment case is not yet clear.
• A business sees a market opening, but needs to turn scattered elements into a structured proposition.
• A project needs to stand up in front of a board, lender, investor or strategic partner, not just in an internal deck.
• The question is no longer whether the idea matters, but how to structure it so it can actually move.

What this work covers

• Deep-tech opportunity framing, commercial structure and route-to-market thinking.
• Fleet decarbonisation strategy and deployment sequencing.
• Hydrogen infrastructure, supply logic, station economics and anchor demand.
• Battery-electric and hydrogen pathway comparison under real operating constraints.
• Robotics, sensing and automation opportunities where technical capability needs a clearer commercial shape.
• Transport and energy infrastructure opportunities involving multiple stakeholders.
• Commercial modelling, financing structure and project bankability.
• Board, investor and partner decision support where the model needs to stand up to scrutiny.

What makes this different

This is not generic sustainability advice and it is not technology advocacy dressed up as strategy.

The work is grounded in how real systems behave under constraint: demand, utilisation, infrastructure, route structure, grid access, lead times, timing, capital intensity, counterparties and financing logic. In transport those factors are unusually visible, but the same discipline applies across robotics, industrial systems and broader deep-tech opportunities as well.

The objective is to see where the real opportunity is, what has to align to unlock it, and what will stop it moving if that work is left too late.

Grounded in real system behaviour

This work is informed by ongoing analysis of how transport and energy systems behave under real constraints, including grid access, infrastructure lead times, utilisation patterns and the cost crossover between diesel, battery-electric and hydrogen pathways.

• Fleet Readiness Score
• Commercial Fleet TCO Calculator
• Break-Even Analysis
• Fleet Decarbonisation Strategy
• Hydrogen and energy systems
• Hydrogen vs electric trucks

Bring a model, not just an opinion

If you are debating diesel vs BEV vs hydrogen, start with numbers rather than narratives.

• Use the Fleet Readiness Score to test whether the fleet is ready for detailed modelling, or whether the main constraints sit in infrastructure, utilisation or delivery.
• Use the Commercial Fleet TCO Calculator to map the fleet, routes and operating assumptions in more detail.
• Use the Break-Even Analysis to test where diesel, BEV and hydrogen reach cost parity under different mileage, energy price and ownership assumptions.

Those tools are transport-specific, but the broader advisory work is the same: use structured analysis to identify the real constraints, clarify the commercial logic and decide whether an opportunity is ready to move.

From concept to structured opportunity

At a distance, many transport, infrastructure and deep-tech projects look attractive. The harder question is whether the opportunity still works when the moving parts are connected properly.

That usually means getting specific about demand, utilisation, infrastructure, counterparties, sequencing and capital structure. Once those pieces are brought together, the path forward tends to become much clearer — either as an opportunity worth pursuing, or as one that needs reshaping before serious time and capital are committed.

If a project needs aligning rather than simply explaining, that is usually where I come in.

When advisory is the right next step

Advisory is most useful when the limiting issues are structural rather than purely numerical.

• Infrastructure, demand or timing is likely to be the bottleneck.
• The technology choice depends on real-world operating conditions rather than broad category assumptions.
• A strong technical capability still needs a clearer route to market or commercial structure.
• The project needs to stand up in front of a board, lender, investor or strategic partner.
• The key challenge is bringing together demand, infrastructure, economics and timing into something coherent enough to move.