AI that supports carers, not replaces them
SilverGuard AI builds AI for safety-critical eldercare environments. We hold our AI to a higher operational and ethical bar than general-purpose assistants.
Last updated: 27 April 2026
Human-in-the-loop
AI signals are routed to qualified care staff. Humans confirm, dismiss, and act. Final care decisions rest with humans.
No autonomous clinical diagnosis
SilverGuard AI does not provide medical diagnoses or autonomous clinical decisions. It surfaces operational signals for trained staff to evaluate.
No replacement of professional judgement
Our products are decision-support tools. They are designed to complement, not substitute, the professional judgement of carers, nurses, and clinicians.
Bias and performance monitoring
Models are evaluated across realistic care-home conditions. Where we identify gaps, we treat them as defects to fix and document, not as features.
Privacy-preserving design
Edge-first inference, role-based access, short retention, no facial-recognition database, and no biometric identity tracking by default.
Auditability
What the system saw, what it did, and who responded — captured in event-based logs and tamper-evident audit packs available to operators.
Operating commitments
- We publish honest descriptions of what each product does and does not do. We avoid claims that imply autonomous medical capability.
- We do not train production models on resident data without operator authorisation and an appropriate legal basis.
- We separate research environments from production environments, with least-privilege access controls and access logging.
- We support operators with the documentation they need for their own clinical-governance, privacy-impact, and compliance reviews.
Feedback
If you have AI-governance, fairness, or safety concerns about our products, please contact hello@silverguard.ai. Suspected security issues should be reported to security@silverguard.ai.