GLACIS is AI Policy Enforcement Infrastructure.
We dont observe AI systems — we enforce governance at runtime and generate cryptographic proof that it actually happened.
When regulators ask "were your safety controls running?", most companies can only offer logs and promises. GLACIS provides tamper-evident receipts: Ed25519 signatures, Merkle tree anchoring, deterministic serialization. Mathematical evidence, not documentation.
Zero-Egress Architecture
GLACIS infrastructure runs at your edge—inside your VPC, your compliance boundary. We enforce policies inline. We only see hashes.
→ No BAA required (we never process PHI)
→ No data processing agreements (we dont touch PII)
→ No new attack surface (sensitive data never leaves your environment)
Enterprise AI teams get the compliance evidence they need without the procurement friction of granting a vendor access to sensitive data.
The Category
Observability tools watch passively and require data access. Governance platforms document policies but dont enforce them. Audit processes sample retrospectively.
GLACIS is different: were inline (in the hot path), we enforce (not just observe), and we prove (cryptographically, not just logging).
Think of us as the flight recorder for enterprise AI—irrefutable evidence of what happened at the moment of inference.
Why Now
EU AI Act (August 2026), Colorado AI Act (June 2026), and emerging state regulations require organizations to demonstrate AI governance with evidence, not promises. Insurance underwriters are beginning to price AI risk—and they need verifiable signals.
GLACIS provides the infrastructure to meet these requirements.
Backed by AI2 Incubator | Seattle, WA
Were hiring Rust engineers and accepting design partners in healthcare and fintech.
→ careers@glacis.io
→ glacis.io
