Flight software with a cleaner path to confidence.
PX4 configuration, simulation-first validation, and custom autonomy work for aerial, ground, and maritime systems that need fewer field surprises.
Stack
PX4, deeply
Configuration, tuning, simulation, and extension work handled with the same engineering standard.
Validation
SITL before flight
Control logic, parameter sets, and edge cases are studied before expensive field time starts.
Outputs
Code plus evidence
Parameter packs, scenario assets, and implementation notes travel with the software work.
Talk to software engineering
Send a work email and a few notes on platform, behaviour, or validation concerns. We’ll reply with a practical next step.
What this engagement should reduce
Usually the goal is not more code. It is reducing uncertainty around behaviour, integration, and whether the system will stay legible after it ships.
Outcome
Stable behaviour sooner
Tuning and validation work aimed at dependable control behaviour instead of trial-and-error in the field.
Outcome
Custom work without sprawl
When PX4 needs to move, new behaviour is added in a way that stays maintainable and reviewable.
Outcome
Measured autonomy
Perception and offboard behaviour tied to scenarios, metrics, and the operating realities of the platform.
Selected scope
The real value is usually in the seams: between parameter tuning and simulation, between PX4 and the rest of the stack, and between a clever feature and a system that can still be maintained.
Core stack
PX4 configuration and tuning
Airframe setup, actuator mapping, estimator choices, failsafes, and parameter work shaped around the actual operating envelope.
- Platform-specific tuning and envelope setting
- Control behaviour and failsafe review
- Configuration that stays readable for the team
Validation
Simulator-first validation
SITL and scenario work used to study behaviour before expensive field time, especially when edge cases carry real risk.
- Scenario definition before flight
- Sensor and behaviour edge cases surfaced early
- Validation assets delivered with the implementation
Implementation
Custom PX4 and firmware work
New device integrations, tailored behaviours, and stack extensions implemented with maintainability and review in mind.
- Scoped changes instead of stack sprawl
- Clear interfaces and integration notes
- Code shaped for long-term ownership
Autonomy
Offboard autonomy and perception
Higher-level software for navigation, tracking, or perception-led behaviour when the platform needs more than stock flight control.
- Perception-driven workflows
- Scenario-based evaluation
- Measured outcomes rather than feature theatre
Working style
A compact delivery rhythm built to make the software more legible before the field test becomes the first real review.
- 01
Frame the operating envelope
We start with platform type, operating conditions, failure modes, and the behaviour that actually matters.
- 02
Validate the behaviour in simulation
Parameter direction, custom logic, and edge cases are studied where iteration is still cheap and observable.
- 03
Implement the missing pieces
PX4 changes, supporting software, and autonomy modules are built with the final handoff already in view.
- 04
Release with evidence
The output includes code, parameter context, scenario assets, and notes that help the next engineer stay oriented.
Typical deliverables
The emphasis is on material your team can run, inspect, and continue from without rediscovering the intent behind the work.
Deliverable
Parameter and tuning pack
Configuration and tuning outputs tied to the target platform and operating assumptions.
Deliverable
Scenario and simulation assets
SITL material, validation scenarios, and the supporting notes used to interpret them.
Deliverable
Firmware and integration modules
Scoped implementation work with cleaner boundaries and documentation around the changes.
Deliverable
Handoff documentation
A concise record of behavioural intent, system assumptions, and the practical next move for the team.
Related disciplines
Adjacent services for teams working across the stack.
Make the software legible before flight.
If the behaviour is still uncertain, the simulation story is weak, or the next field test is carrying too much discovery, we can help clean up the path.