AI Assurance Solved
Fit TIKOS™ to any AI system, comply with all regulations for every output
Evolving regulations. Technical complexity. Constant flux. Multiple stakeholders.
AI Assurance is no easy job.
Lawmakers, users, and society have high expectations of AI system owners, particularly in regulated sectors. Their demands are impacting corporate policies across security, risk, data, IT, procurement, and insurance policies.
Whilst consensus is building around AI Governance (the processes to follow), AI Assurance (technical solutions implemented at model and system level) has not kept pace.
AI Assurance is no easy job.
ISO 42001, EU ACT ACT, NICT AI RMF, GDPR Art. 22, Sectoral regulations (FCA, MHRA).
Head of Risk, GRC team, Chief Data Officer, CTO, AI/ML, Data, Tech team, Product manager, External AI Governance professionals, Certification bodies, Internal/External Auditors, Regulators.
Impact evaluation, Bias audit, Compliance audit, Certification, Conformity assessment, Performance testing, Formal verification.
Planning, Data preparation, Model development, System development, Evaluations, Validation and verification, Operation, monitoring and reporting.
Solved by adding TIKOS™ to your pipelines
Use throughout the AI system lifecycle
TIKOS™ Evaluate
TIKOS™ Explain
TIKOS™ Explore
TIKOS™ addresses the core challenges for trustworthy AI development, deployment, procurement, and monitoring
Fair & Unbiased
Transparent & Explainable
Accurate, Safe & Robust
Accountable
Features
Regulations 1st approach
TIKOS™ is engineered to deliver AI Assurance in regulated, high-stakes environments for all dominant regulations and standards frameworks.
Proprietary technology
TIKOS™ is built from the ground up on original (PhD) research in AI transparency, reasoning and explainability.
Open architecture
TIKOS™ is agnostic to model class, developer framework, tooling and deployment infrastructure.
Expert-in-the-loop
TIKOS™ leverages organizational know-how through an ‘expert-in-the-loop’ system design.
Flexible deployment
TIKOS™ can be deployed through SaaS by APIs, SDK and platform access; including private cloud.
