About Us
Engineering Robust Autonomy Under Real-World Constraints
Independent technical advisory in localization, SLAM, and safety-critical AI systems. I focuse on structural robustness, certification feasibility, and failure-mode transparency under ISO 26262 and SOTIF.
By the Numbers
15+
Years in Safety-Critical Systems
Experience across automotive, aerospace, and regulated software environments.
20+
Software Research & Safety Projects
Including ISO 26262 qualification, SOTIF analysis, and model-based verification programs.
4
Published Research Papers
On semantic constraints and safety-aware AI architectures.
3
Patents Filed
In aerospace and engineering innovation domains.
Core Vales
Engineering Principles That Guide My Work
Robust autonomy systems are built on explicit assumptions, structural clarity, and measurable failure boundaries — not on optimism or benchmark performance alone.
Determinism
Safety-critical systems require traceability and well-defined state transitions.
Where probabilistic components are used, their limits must be explicit and observable.
Structural Robustness
Accuracy does not equal stability.
I evaluate localization and SLAM systems based on observability limits, ambiguity handling, and real-world degradation behavior.
Certification Awareness
ISO 26262 and SOTIF are architectural constraints, they are not documentation exercises.
System design must anticipate auditability, reproducibility, and safety evidence generation from the start.
Why FelixSchallerCOM
Strategic insight. Technical depth. Trusted execution.
I help autonomy and AI teams reduce technical uncertainty, expose system-level risks, and prepare complex products for real-world deployment, certification, and investor scrutiny.
Autonomy-specific expertise
Focused on SLAM, perception, localization, system safety, and validation challenges in real-world operating conditions.
Safety and certification mindset
Bridging engineering reality with ISO 26262, SOTIF, safety case preparation, and certification-readiness expectations.
Investor-ready technical clarity
Translating complex architecture, roadmap, and execution risks into clear findings for founders, leadership teams, and private equity stakeholders.
Hands-on technical leadership
Supporting teams not only with assessments, but with practical prioritization, technical direction, and implementation guidance.
About me
From Localization Theory to Certification Reality
My work sits at the intersection of autonomy engineering, safety-critical systems, and technical decision-making. With experience across SLAM, perception, localization, and system validation, I help teams understand where autonomy architectures are robust and where hidden risks remain.
Today, I support founders, engineering leaders, and investors with independent technical reviews, certification strategy, and due diligence for autonomy and AI-driven systems.
