LS-450D Inspection Drone
Multirotor inspection platform, nest-ready, with automatic take-off and centering.
We build drone nests that let inspection drones take off, fly, land and recharge with nobody on site — and turn every flight into real-world data that becomes an industry-specific model.
Not a guess — nest geometry is computed by a parametric engine and emitted as STEP / BOM. How we price it →
From the ground nest to onboard edge compute — designed and built in-house. The equipment serves the AI, and the flight data feeds back into the model.
Multirotor inspection platform, nest-ready, with automatic take-off and centering.
Edge compute at the nest: local 4–7B inference, data never leaves your network.
Lightweight onboard inference, 0.5–1.5B models, low power, real-time detection.
Not just hardware — the full chain from unattended operation to accumulated data.
Auto take-off, centering, charging and data offload. The drone stays online.
Grid-based management, route planning, task scheduling, multi-drone coordination.
Defect detection, report generation, experience retained — each flight sharpens the next.
Inference runs locally at the nest. Captured data never leaves your network.
A model is only as good as how much of the real world it has seen.
Wherever someone has to “go and take a look” on a schedule, it can run continuously instead.
Tell us your requirement — a solutions engineer replies within 24 hours.
UAVGPT is a Physical AI company. We build autonomous drone nests that let inspection drones operate unattended, and turn the data they collect into an industry-specific model for power lines, pipelines, bridges and industrial parks.
A drone nest — also called drone dock, drone-in-a-box or drone port — is an integrated ground station giving a drone automatic take-off, landing, centering, charging and data offload, so no operator needs to be on site.
It converts periodic, labour-intensive site visits into continuous unattended operation: the drone flies on schedule, returns and recharges by itself, and offloads data automatically. Inspection moves from sampling to always-on.
On-premise deployment. LS-X / LS-D edge AI boxes run inference locally inside the nest, so captured data never leaves your network.
Submit your requirement in the form above, or email [email protected].