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White papers
White papers
Our in-depth analyses on the reliability of AI in production, from industrial use cases to regulatory frameworks.
Our in-depth analyses on the reliability of AI in production, from industrial use cases to regulatory frameworks.
TrustalAI publishes white papers for technical, quality, production, and compliance teams deploying AI in critical systems. Each document addresses a specific topic: measuring reliability through prediction, documenting EU AI Act compliance, and ensuring the reliability of a perception chain before a decision is made. Free access, in exchange for a few details.
After 2 years of research and development, our solution is now operational and PoC-ready.
EU AI ACT · INDUSTRIAL RELIABILITY
Reliability through prediction is becoming the new industrial standard
The EU AI Act is well known. Its implementation, much less so: 68% of European companies struggle to interpret what it requires of them, and 60% do not have the governance in place to comply with it (Bureau Veritas × AWS study, 2026). This white paper identifies where this gap lies and how to bridge it before compliance becomes a legal dispute.
The EU AI Act is well known. Its implementation, much less so: 68% of European companies struggle to interpret what it requires of them, and 60% do not have the governance in place to comply with it (Bureau Veritas × AWS study, 2026). This white paper identifies where this gap lies and how to bridge it before compliance becomes a legal dispute.
The EU AI Act is well known. Its implementation, much less so: 68% of European companies struggle to interpret what it requires of them, and 60% do not have the governance in place to comply with it (Bureau Veritas × AWS study, 2026). This white paper identifies where this gap lies and how to bridge it before compliance becomes a legal dispute.
