Products · RangeIQ+
The flight physics engine.
RangeIQ+ turns a planned mission into a clear answer: can this drone fly this route, and come home with margin to spare? Patent-pending per-leg physics models range, battery, and feasibility segment by segment, before anyone leaves the ground.
Mission Readout
RQ-2147
Distance
6.4 km
Flight Time
18.2 min
RTH Reserve
+14%
Verdict
COMPLETE
The Product Family
Three products. One engine family.
RangeSight
Built on the Engine
Noxdren's own field app, built on the same engine you integrate. Live proof the physics works on real missions.
RangeIQ+
Flight Physics Engine
Patent-pending per-leg physics for range prediction, battery analytics, and feasibility outputs.
Platform & API
Integrate. Automate. Scale.
Bring the engine into your own systems via REST, SDKs, and enterprise deployment options.
The Engine Family
Two engines, one API.
Pull a quick range envelope, or run a full multi-leg mission. Both answer through the same Noxdren API, with one auth model and a shared drone catalog. Start simple, then go deeper without changing integrations.
RangeIQ
/v1/rangeiqRange Rings
Point-to-point range analysis: how far a drone can fly from a launch point and still return, drawn as range rings. Fast envelopes for choosing a site or framing a flight.
RangeIQ+
/v1/missionsMission Analysis
Full multi-leg routes with patent-pending per-leg physics: a feasibility verdict, projected battery, and return-to-home margin across the whole mission. The flagship engine.
RangeIQ+
Feasibility, leg by leg.
A single range average hides the moment a mission actually breaks. RangeIQ+ models the energy budget of every segment: wind on the way out, the climb to altitude, the cost of the trip home. It rolls all of it into one honest verdict, with the margin shown.
Per-Leg Range Prediction
Range modeled segment by segment, so each leg reflects its real load, not a route-wide average.
Battery & RTH Reserve
Projected battery at every waypoint plus a return-to-home reserve, so you know the margin before launch.
Feasibility Verdict
A clear pass / watch / fail on the whole mission, with the binding constraint called out by name.
Wind & Environment
Wind, temperature, and altitude folded into every leg's energy budget.
Payload-Aware
Mass and payload change the physics, so outputs adjust with them, not around them.
Drone Profiles
Modeled per airframe, so predictions track the aircraft you actually fly.
How It Works
From mission plan to go/no-go.
01
Define the Mission
Drone profile, payload, battery, waypoints, and flight conditions.
02
Per-Leg Physics
RangeIQ+ computes the energy budget for every segment of the route.
03
Feasibility & Reserves
A verdict, projected landing battery, and return-to-home margin.
04
Integrate the Output
Clean JSON over REST. Read it in a dashboard or your own flight stack.
The Output
A verdict you can build on.
Every analysis returns structured JSON, the same numbers you see on the readout, ready to drive a dashboard, a pre-flight gate, or an automated workflow.
See the API →{
"ok": true,
"engine_version": "1.0.0",
"result": {
"mission_verdict": "complete",
"total_distance_m": 6420,
"total_duration_s": 1092,
"initial_battery_pct": 85,
"final_battery_pct": 23,
"predicted_landing_pct": 23
},
"request_id": "a1b2c3d4"
}Put a number on every mission.
Request access to RangeIQ+ and start turning flight plans into feasibility you can trust.
Get API Access →