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KATLAS modules in action
Across health, supply chain, and agentic AI governance, KATLAS provides the custody–consent–receipts layer that lets organisations coordinate people, devices, and AI agents without centralising sensitive data. Our reference modules — HealthCierge, FreightCierge, and AICierge — show how to move from insight to accountable action, with audit-ready evidence.
Data Governance
AICierge™ governs AI-assisted decisions and actions — tool-gated execution with audit-ready receipts across organisational boundaries.
Supply Chain
FreightCierge™ secures supply chain visibility with verifiable container and cargo credentials — speeding customs, reducing risk, and protecting sensitive data across global logistics.
Health
Secure, consented patient data sharing that enables collaboration without exposing sensitive records.
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Coordinate AI across organisations — with consent and signed receipts that carry trust from research to operations.
Success stories
“From healthcare to logistics, the Cierge™ Suite delivers trusted digital journeys that strengthen ecosystems and accelerate collaboration.”
HealthCierge™ | Consent-led cardiovascular research with audit-ready receipts
HealthCierge™ powers a real-world proof-of-concept with Clínica Arvila Magna (Barcelona), enabling patients to share research-grade signals under explicit consent. AI-assisted risk exploration is supported through privacy-preserving workflows and audit-ready receipts — proof of what was requested, what was used, and under what authority.
FreightCierge™: AI-filtered declaration assurance
FreightCierge™ shows how containers can act as trusted participants in global supply chains. Wallet-enabled agents verify status, documents, and handovers, with specialist AI providing the risk scoring flags for likely declaration mismatches early — reducing exception overhead and speeding border clearance.
Accountable AI across organisations and jurisdictions
KATLAS enables organisations to coordinate people, systems, and AI through purpose-bound exchanges that generate signed receipts (“who knew what when, what was done, and under what consent”) — without centralising sensitive data
