AI Assurance Solved

Fit TIKOS™ to any AI system, comply with all regulations for every output

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Intro

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

AI model & system audit, assessment and assurance - Raw metrics from model runs aggregated into reports

TIKOS™ Explain

AI model monitoring, transparency and explainability - Output traces and context-aware explanations from our reasoning engine

TIKOS™ Explore

AI model development - Raw metrics, analysis and reasoning functions developer tool kit

TIKOS™ addresses the core challenges for trustworthy AI development, deployment, procurement, and monitoring

Fair & Unbiased
AIl AI data, models and systems must proactively mitigate bias to ensure fairness and non-discriminatory outcomes.
Transparent & Explainable
AI systems and outputs must be transparent and explainable, with clear documentation of their processes and decisions.
Accurate, Safe & Robust
AI models and systems must perform reliably, resist errors and misuse, and operate without causing harm.
Accountable
AI systems must enable human oversight with clear reporting and accountability. Decision outputs should be contestable by users.
Features
TIKOS™ Evaluate
TIKOS™ Explain
TIKOS™ Explore
Regulations 1st approach

TIKOS™ is engineered to deliver AI Assurance in regulated, high-stakes environments for all dominant regulations and standards frameworks.

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Proprietary technology

TIKOS™ is built from the ground up on original (PhD) research in AI transparency, reasoning and explainability.

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Open architecture

TIKOS™ is agnostic to model class, developer framework, tooling and deployment infrastructure.

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Expert-in-the-loop

TIKOS™ leverages organizational know-how through an ‘expert-in-the-loop’ system design.

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Flexible deployment

TIKOS™ can be deployed through SaaS by APIs, SDK and platform access; including private cloud.

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Start Solving Your AI Assurance Problems Today

Build Trustworthy AI

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Run free assessment