A privacy-first AI execution layer enabling fintech and regulated organizations to safely use public-domain LLMs.
Trust-based AI usage fails under regulatory scrutiny. The Vault isolates context, removes identity, and enforces encryption at every boundary.
Engineered to let teams use public LLMs without exposing identities or regulated data. No accounts. No contact details. No retention.
No user accounts. No emails or phone numbers. Authentication uses cryptographically secure random codes.
SHA-256 hashing enforces one-way identity binding without storing identity data.
Strong symmetric encryption protects payloads in transit and at rest.
Data expires automatically. Logs store only operational metadata.
Independent evidence, production deployments, and peer-reviewed research. Read more on the dedicated research page.
Anonymous Authentication Patterns in Digital Health.
Eliminates PII entirely. Validated in production. Under discussion with NHS Digital. GDPR and HIPAA compliance by design.
Proof of context-isolated, misuse-resistant AI system design.
Evidence-based deployments across healthcare, GovTech, and commercial AI platforms. Full details on the case studies page.
NHS Innovation Hub ecosystem. Hospital automation. Privacy-first coordination.
No public pricing. Engagements include architecture design, deployment, and advisory aligned to regulatory constraints.
Provide a high-level brief for a tailored security and deployment assessment. No personal data required.