Industrial-grade engineering, on demand.
BartheTech designs the algorithms, embedded systems, and analytics pipelines that turn complex physical operations into measurable advantage. We partner with teams in aerospace, automotive, industrial automation, and robotics where technical decisions have direct business impact.
Engineering experience drawn from
- gipsa-lab
- Airhart
A small surface area, deliberately deep.
We do not chase scope. We focus on the parts of an engineering project where rigor compounds - controls, estimation, embedded integration, and the analytics that close the loop.
How engagements stay on track.
Engineering programs drift when scope and goals are confused. We keep the goal flexible enough to evolve with what you learn, and the deliverables tight enough that progress is never in question.
Diagnose
We start with your operation, not a template. A short, focused engagement maps where complexity, downtime, and waste actually live.
Scope
High-level goals stay flexible; short-term deliverables stay rigid. Each milestone has a clear definition of done before work begins.
Build
Tight iterations against the highest-leverage problem first. You see something working in weeks, not quarters.
Hard problems, deliberately solved.
A representative sample, anonymized where contracts require it. Different industries, the same underlying disciplines.
- Automotive01
Embedded test infrastructure for a global OEM
Worked across CAN telemetry and embedded toolchains to validate vehicle systems at scale - the same protocols that underpin modern factory IoT.
- Aerospace02
Robust flight control for a fixed-wing aircraft
Designed and validated a progression of SISO and MIMO controllers, with full-flight-regime robustness analysis to guarantee performance across the operating envelope.
- Research03
UAV propeller thrust estimation study
Built a data-driven estimation workflow to recover propeller thrust from flight-test signals, supporting better model calibration and controller tuning.
- Aerospace04
6-DOF aerodynamic simulation environment
Built the high-fidelity model used to mathematically assess controller performance prior to flight testing, shortening the cycle between design and validation.
- Research05
Model-based fault detection
State-space estimators applied to fault diagnosis: detecting and isolating anomalies from sensor signatures before they cascade into failures.
- Aerospace06
AHRS / INS sensor fusion
Extended Kalman filter for attitude and state estimation on a fixed-wing platform - fusing inertial, magnetic, and aiding sensors into a single coherent state.
Ready to scope your project with confidence?
A free 30-minute intro call is usually enough to align on goals, constraints, and whether we are the right technical partner for your team.