Machines that cover ground nobody mapped this morning.
Drones, autonomous vehicles, UGVs and vessels move on their own across open terrain, water and air, where infrastructure, weather and water keep changing. They need a world model that is current, not just accurate.
- Hotspot · panel 4-07
- Linked to asset P-4-07
- Maintenance ticket drafted
Open ground changes faster than any survey.
Up-to-date terrain and infrastructure over large areas
Drones and ground vehicles work over kilometres, not rooms. A survey from last season misses new structures, cleared ground and tracks that have washed out.
Weather, water and seasonal change
Reservoirs rise and fall, vegetation grows back and ground turns soft after rain. A route that is safe in spring can be impassable in autumn.
Making safe decisions when the link drops
Over open terrain, at sea and below ground, connectivity comes and goes. A vehicle has to carry the maps, zones and models it needs to keep working.
A world model that keeps up.
Kaiinos keeps the world model current and prepares the mission inputs. Your vehicle's own autopilot or control stack keeps control of navigation.
Base maps fused from satellite, drone and sensor data
Satellite, drone, lidar, bathymetry and site sensor data are combined into one georeferenced base map, with DSM and DTM surfaces for flight height and terrain following. Traversability and water layers show where ground vehicles and vessels can and cannot go.
solar park B · base map v12 DSM · DTM · panel rows · tracks + water extent · current and max
Mission planning over terrain and asset models
Inspection targets, sampling points, survey areas and candidate routes are prepared against the terrain and asset models, together with the agreed geofences and no-fly areas, and exported for your planning tools and autopilots to execute.
rows 1-4 · 1,280 panels no-fly zone: substation, version 3 → flight plan exported to autopilot
Anomaly detection and change tracking across every flight
Every flight, drive or dive is compared with the last one. Satellite change detection, including SAR imagery for cloud cover and night, flags where something has changed and triggers a targeted drone or vehicle mission.
hotspot · panel 4-07 linked to asset P-4-07 → maintenance ticket drafted
Compressed maps and models for offline work
Compressed maps, zones and models are prepared with your team so vehicles carry what they need on board and keep working offline when the link drops. Data from each mission comes back to update the twin.
package · solar park B maps, zones and asset list → loaded on UGV-02 before launch
Built for machines that move on their own.
Drones
Inspection and survey flights over solar parks, forests, corridors and coasts.
Autonomous vehicles
Vehicles on sites, yards and industrial roads that change from week to week.
UGVs
Ground vehicles on rough terrain, tracks and outdoor asset sites.
Autonomous vessels
Surface vessels and AUVs working over reservoirs, ports and the seabed.
From first scan to first deployment.
Start with one site and one machine. Prove it there, then scale.
Pick a site and a machine
We agree on one environment, one robot and the mission that matters most.
Capture and model
We capture the site and build its digital environment on the Kaiinos platform.
Simulate the missions
Routes, tasks and edge cases are tested before the robot arrives.
Deploy and keep it current
The robot goes live on a living digital twin that updates as the environment changes.
Pick your site.
Repeat inspection of every panel row
Panel rows, inverters and access tracks are held as assets in the twin. Drone and ground inspection missions are planned against them, and each inspection adds to a history that shows faults and change over time.
Heat alert triggers drone verification
A satellite heat alert appears over a forest block. Smartout locates it on the terrain and forest twin, prepares a verification area and flight inputs, and the drone team confirms what is happening before ground crews are sent.
Change-led inspection of linear assets
Pipelines, power lines and utility corridors run for kilometres and are monitored by satellite change detection. Where change appears, such as new structures or ground movement along the route, a targeted drone or vehicle mission is sent, instead of surveying the whole line every time.
Shoreline and vessel context
Coastal SAR, bathymetry and depth layers give autonomous surface vessels a current picture of channels, shorelines and keep-out areas, even under cloud or at night, with zones shared across operators.
Water extent for survey vessels
Maximum and current water extent from satellite analysis, combined with bathymetry surveys, shows survey vessels where they can operate and which parts of a reservoir have changed since the last bathymetry survey.
Dive routes planned before launch
Bathymetry and the dive objective are combined in a subsea twin, and the AUV route is planned against it before the dive. Acoustic telemetry during and after the dive brings the results back into the twin.
Frequently asked questions
Does Kaiinos fly the drone or drive the vehicle?
No. Kaiinos provides the world model, mission inputs and change triggers. Your vehicle's own autopilot or control stack handles navigation and control. We make sure it plans against current terrain, water, asset and zone data, and that the results of each mission come back to update the twin.
Which vehicles and platforms can use the data?
Drones, UGVs, autonomous vehicles, autonomous surface vessels and AUVs. The data is delivered in open formats such as GeoTIFF, LAS/LAZ and OGC web services, and through REST APIs, so it can be loaded into the planning and fleet tools you already use.
How does satellite change detection trigger missions?
Satellite imagery over your area is compared over time. Where Smartout detects change, such as a heat signature in a forest, new structures along a corridor or a shift in water extent, it flags the location and prepares a targeted survey area, so a drone or vehicle is sent only where it is needed.
What happens when vehicles lose connectivity?
We prepare compressed maps, zones and models with your team so the relevant data travels with the vehicle and can be used offline. When the mission ends and the link returns, imagery, point clouds and telemetry are uploaded and the twin is updated.
Can it work under cloud cover or at night?
Yes, for satellite monitoring. Optical imagery is limited by cloud and darkness, so we use SAR imagery, which sees through cloud and works at night. Our team has processed coastal SAR imagery for maritime detection and alerting in earlier projects.
Bring us the machine. We'll bring the world it works in.
Tell us what you're building and where it needs to operate.
Start a pilothello@kaiinos.ai