Tomorrow’s innovations: Reflections on CES 2025
Michael Lang and Edward Philip report from CES 2025, where AI dominated the show floor, built into products from autonomous robots to smart home appliances.
Transportation
We help transport operators modernize legacy systems, build platforms that scale and connect technology to business goals, with a roadmap that ends in working systems, not reports.
Who we work with
Fleet, passenger, freight and transit.
Fleet
Organizations with large vehicle, driver and equipment assets struggle with utilization, maintenance cost and data silos. We build platforms for real-time fleet visibility, predictive maintenance and better tools for drivers.
Passenger
Passenger transport has to feel simple and personal while costs and regulatory risk stay under control. We connect customer platforms, loyalty programs and operational systems in one architecture.
Freight
Supply-chain pressure, under-used assets and thin margins are constant in freight and logistics. We digitize the flow of goods, optimize routing and logistics, and make performance visible to leadership.
Transit
Public transit balances legacy infrastructure, regulatory oversight and riders’ expectations. We modernize systems, connect data and align operations with stakeholders’ goals, from strategy through engineering.
Where AI helps
Put AI to work where it moves the numbers.
We start from the outcome (uptime, utilization, on-time performance or cost) and work back to where AI earns its place.
- Predictive maintenance that reduces unplanned downtime for vehicles and equipment.
- Route and load optimization that adapts to real-time conditions.
- Exception handling for shipments and schedules, with people deciding the edge cases.
- Operational data brought together, so teams can act on it as it happens.
What we bring
Five ways we help transport operators get AI working.
- 01AI Workforce EnablementTrain leaders and teams to use AI well, and grow your own trainers
- 02AI-Accelerated Solution DeliverySenior engineers who deliver working software with AI in the loop
- 03Governed Agentic OperationsAI agents in production across operations, with a full audit trail
- 04AI-Ready DataGoverned data products your analytics and AI can trust
- 05AI-Augmented CybersecurityFind exposure fast, secure the AI you deploy, prove it to auditors
Questions
What buyers ask us.
Where do transport projects usually start?
With an assessment of your current asset, driver and logistics systems, then the operating model and platform you need. We build and deploy in short iterations and measure uptime, productivity and asset cost as we go.
Can you modernize without disrupting operations?
That’s the aim. We modernize core platforms in stages, run old and new side by side where needed, and put governance in place before we scale.
How should transport leaders approach AI?
Tie it to business outcomes such as utilization, routing and cost, govern it clearly, integrate it securely with existing systems, and keep people in the loop where decisions carry risk.
Other industries
Where else we work.
Our mind
Related reading.
9 examples of AI in logistics that improve efficiency and reduce risk
Late shipments and idle trucks drain cash. Nine AI examples show logistics teams heading off failures, stock-outs, and route delays while cutting empty kilometres and…
A practical playbook for AI in transportation and logistics
Small data gaps in transportation swallow budgets and schedules. AI closes them with volume forecasting and route precision, and pilots focused on high-impact lanes can…
Next step
Tell us what you need to get into production.
Someone senior reads every message and replies to set up a short call.