Products · RangeIQ+
Mission performance, leg by leg.
RangeIQ+ converts a planned route into mission-specific performance and energy outputs. Patent-pending per-leg physics evaluates each segment against the selected aircraft, payload, environmental conditions, battery state, and reserve requirement to estimate expected mission margin before launch.
Mission Readout
RQ-2147
Distance
6.4 km
Flight Time
18.2 min
RTH Reserve
+14%
Verdict
COMPLETE
The Product Family
One analytical engine family. Three ways to use it.
RangeSight
Preflight Mission Analysis
Noxdren's operator app runs the same verified analytical engine available through the API to evaluate expected mission performance and energy margin before launch.
RangeIQ+
Mission Performance Engine
Patent-pending per-leg analysis for expected mission performance, battery, reserve, and limiting-factor outputs.
Platform & API
Embed. Integrate. Operationalize.
Bring mission-performance analysis into your own systems through REST, SDKs, and on-device embedding options.
The Engine Family
Two engines, one API.
Use RangeIQ for point-to-point range-envelope analysis or RangeIQ+ for full multi-leg mission-performance analysis. Both share the same authentication model and drone catalog, letting teams add deeper analysis without changing integration architecture.
RangeIQ
/v1/rangeiqRange Rings
Point-to-point range-envelope analysis for estimating how aircraft, conditions, and return requirements shape reachable area from a launch point.
RangeIQ+
/v1/missionsMission Analysis
Full multi-leg mission analysis with patent-pending per-leg physics: expected battery, reserve/RTH margin, mission result, and limiting constraints across the planned route.
RangeIQ+
The detail an average misses.
A route-wide average can hide the segment that constrains a mission. RangeIQ+ models the energy demand of each leg, accounting for wind, climb, payload, and the return requirement, then rolls those results into one mission-level output that shows the expected margin and what's limiting it.
Per-Leg Performance Modeling
Every route segment is judged on its own direction, distance, elevation, aircraft state, and environmental load, not folded into one route-wide average.
Expected Battery & RTH Margin
Project expected battery at each waypoint and the reserve required for the modeled return path, with the margin visible before launch.
Mission Performance Result
Get back a complete / watch / fail mission result with the binding constraint called out, ready for downstream review.
Wind & Environment
Wind, temperature, and altitude go into the per-leg energy model itself, not just a list of generic operating limits.
Payload-Aware
Payload mass is part of the mission model, and the result reflects the aircraft configuration actually being planned.
Drone Profiles
Airframe-specific profiles tie the analysis to the aircraft actually flying the mission, not a generic endurance number.
How It Works
From mission plan to quantified performance margin.
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
Performance Margin & Reserves
Expected landing battery, return-to-home margin, mission result, and limiting constraint.
04
Integrate the Output
Clean JSON over REST. Read it in a dashboard or your own flight stack.
The Output
Structured outputs you can build on.
Every analysis returns structured JSON designed for dashboards, preflight review, internal workflow logic, and downstream mission-planning systems.
See the API →{
"ok": true,
"engine_version": "1.0.0-phase1b",
"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": "a1b2c3d4e5f67890a1b2c3d4e5f67890"
}Quantify the expected margin of every mission.
Request access to RangeIQ+ and bring mission-specific performance and energy analysis into your workflow.
Get API Access →