Who this is for
- Logistics operators whose delivery routes live in a dispatcher's head and change when the dispatcher is off
- Companies starting a drone program who have pilots and aircraft but no operations management layer: no go/no-go criteria, no flight log discipline, no way to see where the fleet is
- Operations teams sitting on years of GPS, telematics and delivery data that nobody has turned into a forecast
- Any team whose reaction to a demand swing is a phone call, and whose late deliveries and excess stock are the result
The problem, stated plainly
Aviation solved a version of this decades ago. An airline moves aircraft and crew through weather, curfews, maintenance windows and duty-time limits every day, and the plan changes every hour. It works because the operation runs on an operations control model: one place where the live picture, the rules and the decision authority meet.
Most logistics and drone operations do not have that place. The picture is in a spreadsheet, the rules are in a veteran's memory, and the decision is made on a phone. That is what we build the replacement for.
What we build
Drone operations management systems
A single system for flight planning, live telemetry on a map, pre-flight confirmation against the actual regulations, and a flight log that survives an audit. For Japan that means registration, DIPS permits, Remote ID and airspace checks built into the workflow rather than left to the pilot. The reference implementation is the operations layer of Airffic World, which we also build to order for operators with their own fleet.
Route optimization AI
Multi-stop routing models that respect time windows, vehicle capacity, driver hours and the constraints your dispatcher knows but has never written down. We run the model against your last six months of deliveries first, so the projected savings in distance, hours and CO₂ are measured on your data before anyone changes a route.
Operations analytics and demand forecasting
Delivery records, telematics, weather and calendar data combined into a forecast that feeds the plan. The output is not a dashboard to admire but a recommended plan for tomorrow, with the confidence range attached.
Anomaly detection for live operations
Late departures, route deviations, load anomalies and telemetry dropouts detected as they happen and pushed to the person who can act, with the recommended action attached. The airline term is exception management: the controller sees only what needs a decision.
Where the aviation model shows
Three habits from airline operations control shape every system on this list. Checklists over memory: pre-flight and pre-departure confirmation run off a list the system enforces, not recall. No single point of failure: no route, permit or decision depends on one person being present. Exception management: automation handles the normal case so the human sees only the exceptions.
We write about how these transfer in running drone inspection as a system, not a skill.
How an engagement runs
| Stage | What happens | What you get |
|---|---|---|
| Free consultation (30 min) | We hear the problem and how the operation runs today | An honest answer on whether AI helps here, and where |
| Proposal and quote | Scope, data requirements and success criteria agreed | A fixed-price PoC proposal |
| Workflow improvement, implemented (from ¥50,000, about 2 weeks) | One routing, forecasting or alerting task built against your real data | Measured impact: distance, hours, on-time rate, cost |
| Whole-operation architecture, implemented (from ¥300,000) | The operations layer designed and built in stages | A system your team operates, with documentation |
| Operate and improve (from ¥20,000 / month) | Monitoring, retraining, new constraints as the business changes | A system that stays accurate |
Figures are indicative; a formal quote follows once requirements are defined. Remote engagements in English are the norm for clients outside Japan.
What this will not do
Route optimization does not fix a warehouse that ships late, and a drone operations system does not make an unlicensed flight legal. We say so in the consultation when the bottleneck is somewhere AI cannot reach. Our own drone flight operations business is still in preparation; what we offer today is the design and development of the operations layer.