Data Science & AI Assessments
Technical examination of data quality, model validity, reproducibility, bias, robustness and documented AI-system behaviour.
Technical expertise with explicit limitations
Mathias Ellmann works on technical questions involving software, data, Data Science and artificial intelligence. The methodology separates technical findings, interpretation, professional assessment and limitations.
The English version is being developed from the reviewed German V1 baseline. Pages remain excluded from indexing until the corresponding English content has passed terminology, source and quality review.
Open the German websiteCore technical fields
Independent technical examination of software, IT projects, data-driven systems and artificial intelligence.
Software & Source Code
Technical assessment of architecture, source code, software quality, documentation and development processes.
IT Projects & Project Reconstruction
Reconstruction of requirements, change states, repositories, releases, architecture decisions and technical risks.
Data Science & Artificial Intelligence
Examination of data-driven systems, machine-learning models and algorithmic decision processes.
Technical Due Diligence
Technical examination of architecture, codebase, development processes, dependencies, deployment capability and technology risks.
Assessment services
The English service pages mirror the reviewed German service structure and keep technical findings, professional assessment and legal or commercial decisions explicitly separate.
Technical Expertise for Courts & Law Firms
Neutral technical examination of software, IT projects, data and AI questions in court and legal contexts.
Data Ethics & IT Compliance
Technical examination of documented data-protection, fairness, transparency and compliance-related implementation requirements.
IT Project Assessments & Project Reconstruction
Traceable reconstruction of requirements, change states, repositories, releases, technical decisions and project risks.
IT Security Assessments
Technical examination of vulnerabilities, configurations, log data, incidents and documented security measures.
Software & Source Code Assessments
Technical assessment of software architecture, source-code quality, maintainability, development evidence and technical risks.
Technical Due Diligence
Independent technical due diligence of software, technology products, development evidence, dependencies, risks and operational maturity.
Technical SEO Assessment
Reproducible examination of crawlability, indexability, redirects, canonical signals, rendering, performance and technical change history.
UX, Software Ergonomics & Accessibility
Technical and methodological examination of usability, context of use, interaction quality and accessible operation.
Web & Mobile Assessments
Technical examination of websites, web applications and mobile apps across concrete version, deployment, device and backend states.
Professional practice
Analysis & Assessment
Systematic technical examination of software, data and process structures using disclosed technical and scientific criteria.
Profile & Qualifications
Academic background, publications, teaching experience, continuing education and the methodological principles of technical expert work.
Training & Workshops for Technical IT Assessment
Practice-oriented technical training on software, data, AI, evidence, decision documentation and expert-assessment methods.
Expert Report Documentation & Traceability
Structured, reviewable documentation of technical examination steps, evidence, criteria, findings and limitations.
Neutrality & Independence
Technical assessment based on disclosed criteria and evidence rather than a desired result, with conflicts of interest checked before acceptance.