Engineering Robust and Ethical AI Solutions
Combining advanced machine learning expertise with MLOps governance, explainability (XAI), and multi-standard regulatory compliance (ISO/IEC 42001).
Key Technical Validation Focus
Bias & Fairness Testing
Rigorous testing following ISO/IEC 24027 to quantify and mitigate algorithmic bias across demographic and operational subgroups.
Explainable AI (XAI)
Implementing local and global interpretability techniques (LIME, SHAP) to ensure decisions are transparent and auditable by human experts.
Security & Adversarial Robustness
Stress-testing against malicious inputs (data poisoning, adversarial attacks) to ensure system reliability and compliance with security mandates.
Drift Monitoring & AIMS Integration
Integration of continuous performance monitoring (Cl. 9) into the AIMS to detect model decay and maintain certification validity.
Selected Validation Projects
Manufacturing Predictive AI
Validated predictive maintenance models in high-risk manufacturing lines, ensuring adherence to quality standards and robust operational safety.
View Case Study trending_flatHealthcare Diagnostics Validation
Ensured safety, fairness, and ISO 13485 compliance for a diagnostic AI system, enabling ethical deployment in clinical settings.
Read Validation Report trending_flatFinancial AI Systems (AML/Credit)
Improved fairness and transparency in automated anti-money laundering (AML) and credit scoring models to meet regulatory scrutiny.
Project Details trending_flatOur engineering and validation processes are mapped directly to international standards for technical assurance and legal readiness.
Collaborate with our technical team to validate your AI solutions.