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A reusable AI agent platform, built for regulated industries.

One architecture. Every vertical built on top, without rebuilding from scratch.

Configured per use case.

Agent roles, knowledge bases, and data sources are configured per vertical, same architecture adapted to each regulated sector.

Reusable across every vertical.

Built once, replicated without rebuild. Every new vertical inherits the same safety and reliability guarantees from day one.

Prompt layer

Variable per vertical

Context layer

Variable per vertical

Harness layer

Fixed across all verticals

Infrastructure

Fixed across all verticals

Security you can trust, built for healthcare

Security and privacy are designed into every layer of the platform, not bolted on after the fact. Our approach follows recognized industry standards for AI systems and healthcare data protection.

Defense-in-depth

Infrastructure security

TLS 1.3 encryption in transit and AES-256 at rest. Multi-tenant data isolation. DDoS protection.

Access control

Role-based permissions, with multi-factor authentication. Audit logging. Abuse protection. High availability with automatic failover.

AI safety layer

Input screening. Output filtering. Clinical guardrails. Escalation to human staff.

Data integrity and traceability

Proprietary, patented data quality algorithm. Every data point that enters or leaves the platform is validated, scored, and traceable, from raw input to final output. Validation and integrity scoring. Full traceability. Automated anomaly detection.

Patient data

Protected at the core: identifiers masked, consent tracked, data minimized.

Standards alignment

  • OWASP Top 10 for LLM

    Architecture aligned to the leading industry standard for AI application security.

  • Personal data privacy

    Aligned with HIPAA and, more broadly, with personal data privacy laws worldwide, with consent management, data minimization, and breach notification within 72 hours.

  • Healthcare grade

    No diagnoses, no prescriptions, no clinical interpretation: clinical safety by design.

Security principles

  • Human-in-the-loop

    Sensitive actions require human confirmation. Staff can intervene at any time.

  • Audit trail

    Key actions logged for transparency, accountability, and compliance.

  • Continuous review

    Defenses updated on a regular cadence as AI security standards evolve.

  • Privacy by design

    Data minimization, identifier masking, and consent tracking from the ground up.