Model. Simulate. Optimize.
FF Twin is a simulation and optimisation platform for UAV designers. It tells you where your energy goes — and what to do about it.
Your drone produces one number. You can't see what's inside it.
You can measure your drone's total energy consumption. But you can't see what drives it. Which components are well-optimised. Which are holding you back. What to change — and in what order.
So when you decide what to improve next, you're working from incomplete information. The flight controller compensates for design inefficiencies automatically, making them invisible. Your drone works — but you don't know if it's competitive.
That's not a failure of effort. It's the absence of a tool that connects your engineering goals directly to a precise drone design. Until now, that tool didn't exist.
From goals to design. From guesswork to calculation.
FF Twin decomposes your drone's total energy consumption into the components that actually drive it. It identifies precisely what is underoptimised and runs the optimisation automatically. The algorithm iterates — you review the result.
What normally takes weeks of configuration in heavy simulation tools takes minutes in FF Twin. The platform is built specifically for UAV systems — not for a generic engineering workflow. And the model you build in the design phase is the same one that drives every subsequent phase of your vehicle's life.
Energy decomposition
Break total power draw into its actual components. Know what to optimise — and what isn't the problem.
Automated optimisation
The algorithm finds the best design for your mission. You set the goal. It finds the path.
Inflow interaction modelling
Propeller-to-propeller interference is the largest single efficiency loss in multirotor systems. ~80% of designers ignore it. FF Twin calculates it precisely.
One platform. The full lifecycle.
FF Twin is built to stay with you from the first concept to full fleet operation. Each phase builds on the same model — you don't start over when you move forward.
- Phase 01
Design & Optimisation
Available nowPrecise aerodynamic modelling, energy decomposition, automated component optimisation. Multi-vehicle: multirotors, VTOL, fixed-wing, rockets.
- Phase 02
Component & Production Advisory
In developmentComponent selection based on your specific mission profile. Know which motor, propeller, and ESC combination is right for your design — calculated, not guessed.
- Phase 03
Control & Guidance Systems
RoadmapCalibrate control algorithms digitally in seconds. Train pilots in simulator months before the vehicle is built. Optimal flight path calculation per mission.
- Phase 04
Digital Twin & Predictive Maintenance
RoadmapLive comparison of flight data against the model's prediction. Component failure detection before it becomes critical. Fleet-scale monitoring.
See exactly what your drone is made of — and what each part costs you.
The FF Twin Component Explorer lets you explore the aerodynamic role of each component in your UAV design. Click any component to understand the challenge it presents and how FF Twin addresses it.
- Multirotor
- VTOL / Fixed Wing
- Rocket
Built on peer-reviewed aerodynamic research.
FF Twin is not an approximation. The models are based on established aerodynamic physics — assembled, calibrated, and interpreted for UAV systems by a specialist who has spent years doing exactly that.
Finn Matras, PhD (NTNU) is one of a small number of researchers to have formalised dynamic inflow modelling for multirotor systems. His work is published and peer-reviewed in The Aeronautical Journal (Cambridge University Press, 2025) and Wind Energy Science (Copernicus, 2025).
Finn Matras
PhD, NTNU. Aerodynamics researcher and award-winning specialist in UAV inflow modelling. The science behind FF Twin.
Flemming Bækdal
Product strategy and business development. Translating the research into a platform drone companies can use from day one.
Find out what your drone can do better.
Run a simple flight test — your drone flies back and forth at 4–6 different speeds. It takes under an hour. Send us the log data.
We'll come back with our assessment: what we believe your improvement potential is, and which areas of the system to focus on. If you want the precise answer, we take it from there. No obligation. No commitment.