Engineering
UAV platforms
Class down the right airframe family, energy architecture, and growth path before you lock suppliers or tooling.
How we approach UAV platforms
Choosing a UAV class is more than catalog shopping: runway or vertical footprint, energy storage, cooling, and modularity determine what payloads and datalinks you can grow into. We help you compare architectures against your mission timeline, supplier risk, and certification posture.
Trade studies capture explicit assumptions - headwind margins, reserve energy, EMI environments - so platform decisions stay defensible when funding or requirements shift.
Deliverables often include concept-of-operations sketches, performance models, and a phased roadmap from demonstrator to operational fleet.
Related areas in this practice
Platform decisions that survive scrutiny
We anchor on measurable envelopes and operational constraints, not brochure claims.
- Comparable figures of merit across candidate architectures.
- Interface placeholders for payload, power, and communications growth.
- Verification hooks that map to your downstream qualification plan.
Sizing for the mission you actually fly
Platform sizing ties together aerodynamics, propulsion, and energy storage. We keep contingency and degradation explicit - hot days, aging batteries, and worn propellers - so operators see realistic endurance instead of best-case demos.
How we structure a platform study
Capture constraints
Regulatory context, geography, crew model, and payload class.
Model scenarios
Energy, thermal, and link budgets against mission segments.
Lock interfaces
Mechanical hard points, electrical budgets, and software API boundaries.
Talk with engineers who own the work
Request a technical pass on UAV platforms: constraints, risks, and a practical next step with clear assumptions.