AI for mobility and EV, with people making the call
OceanLab builds AI into fleets, transit and ride-hailing: scoring driving, forecasting demand and matching lost items. The AI scores and suggests; drivers, crews and clerks see why and decide. Every example below is a product we built.
OceanLab product builds
AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.
Balise - Driver Safety Telematics for a Dangerous Goods Tanker Fleet
Designed and built a clickable driver safety console for a fuel and LPG distributor running about 350 tanker and delivery trucks across Côte d'Ivoire: explained driver scores, a review queue for telematics and AI dashcam events, a live map with curfew and SOS alerts, and coaching built on evidence drivers can see and dispute.
Guadua - Shared E-Scooter and E-Bike Operations Console for Bogotá
Designed a shared e-scooter and e-bike platform for a Bogotá operator running about 4,000 scooters and 1,500 e-bikes under a district permit, and built its clickable operator console: a dashboard that watches the permit's limits, a live fleet map with IoT state and alarms, vehicle records, and a planner that sends crews to swap batteries and rebalance where demand is forecast.
Found It - Lost Property Console for a City Transit Network
Designed and built a clickable lost property console for a Vienna transit authority and its partner venues: log and track every found item through a full custody chain, review AI-suggested matches against passengers' lost reports with a clerk always deciding, and keep valuables and official documents on their own controlled routes.
DriveLuxe - All-Electric Premium Ride-Hailing for Hong Kong
Built a rider mobile app for an all-electric premium ride-hailing service - live EV map, charge-aware vehicle selection, real-time booking, and trip-completion CO₂ accounting - shipped from clickable AI prototype to App Store in 10 weeks.
Where AI earns its place
Each use case names the builds that did it.
Driver safety
Explained driver scores, a review queue for telematics and AI dashcam events, and coaching built on evidence drivers can see and dispute.
Fleet rebalancing
A planner that sends crews to swap batteries and rebalance scooters and bikes where demand is forecast.
Lost property matching
AI-suggested matches between found items and passengers' lost reports, with a clerk always deciding.
EV ride-hailing
A rider app with a live EV map, charge-aware vehicle selection and trip CO2 accounting.
What to plan for
The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.
Scoring workers can be high-risk
The EU AI Act's Annex III lists AI used to monitor and evaluate the performance and behaviour of people at work, or to allocate their tasks, as a high-risk use case.
EU AI Act, Annex III (AI Act Service Desk), checked 2026-10-25
Let drivers see and dispute
Location is personal data
Card payments
Rider apps that take cards fall under PCI DSS, which applies to every entity that stores, processes or transmits cardholder data.
PCI Security Standards Council: PCI DSS, checked 2026-10-25
Frameworks our AI builds here cite
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →
Questions teams ask
What can AI do for a mobility or fleet company?
Score driving with the evidence shown, review dashcam events, forecast where scooters and bikes are needed and suggest lost-property matches for a clerk to confirm. Each of these is a product OceanLab built.
Is driver scoring high-risk under the EU AI Act?
It can be. Annex III lists AI used to monitor and evaluate the performance and behaviour of people at work as high-risk. Check your own use case with counsel.
How is it priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Keep exploring
Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.
