AI2 INCUBATOR · CLOUDFLARE LAUNCHPAD
The Ecosystem Friction
Gemini 3.0 Pro and Vertex AI are the most powerful engines on the market. But your highest-value startups (Health, Fintech, Insurance) are driving with the handbrake on.
It's not a capability gap; it's a liability gap. Founders can build a demo in a weekend, but it takes months to prove "safety" to an enterprise CISO.
Core insight: The problem isn't missing guardrails. It's missing proof that guardrails executed.
Average time to production for regulated AI workloads due to audit requirements.
The Timing
Startups planning for 2026 deployment must solve for these dates today.
Requires documented impact assessments and verifiable consumer protection.
Full enforcement. Article 12 mandates "automatic recording of events" for high-risk AI.
Explicit coverage for healthcare decision support. Pre-deployment audit requirements.
The Solution
We don't just filter bad prompts. We issue a cryptographic receipt for every single interaction with Gemini. It turns "subjective safety" into "objective evidence."
Glacis is the native "Compliance Layer" for the modern AI stack. We allow startups to hand a mathematical proof to their auditors instead of a CSV file.
Architecture
Glacis runs as a sidecar in your GKE cluster, screening both request and response.
PII Redaction
Policy Check
Receipt Sign
Gemini API
Glacis Witness Service
Attestation anchoring & audit export
PHI/PII redacted before leaving your VPC. Only sanitized data reaches Vertex.
Screen both prompts and completions. Catch PHI leakage in model responses.
Deploy via Helm. Runs as sidecar in your existing GKE workloads. No network changes.
Design Partner
Target Pilot
Voice AI that documents patient visits in real-time. Currently on AWS, scoping migration to Vertex AI.
The blocker: Their compliance team needs 6+ months to validate any new AI provider. Glacis cuts that to days.
Glacis makes switching to Vertex AI frictionless for compliance teams. Same audit trail, new provider.
Intro to 3-5 healthcare startups in Google for Startups portfolio who are stuck on compliance.
If we unblock them in 30 days, let's talk about making Glacis the default trust layer for the portfolio.
The Moat
"Can you get AI liability coverage?"
Today, insurance carriers can't price AI risk because there's no evidence trail. Glacis creates the auditable record that makes AI insurable.
Every attestation creates pricing data. Carriers can model risk based on actual policy execution, not assumptions.
Cryptographic proof of what happened. When litigation hits, you have evidence—not reconstructed logs.
Early adopters are seeing 30-50% lower premiums. Better evidence = better rates.
The moat: We become the trusted third party that both cloud providers and insurance carriers rely on.
Team & Pedigree
Scaled SwiftKey from 0 to 1B devices.
SwiftKey: Founding team. Sold to Microsoft for $250M.
Vektor Medical: CSO of FDA-cleared cardiac AI. Lived the regulatory nightmare.
FDA Authorization for AI.
Cognoa: Medical Director who helped secure the first FDA authorization for an AI diagnostic (Autism).
BACKED BY
AI2 Incubator · Cloudflare Launchpad
Next Steps
We'd love an introduction to a few healthcare startups in your portfolio who might benefit.
If we can help them, let's talk further.