Prepared for Google Cloud

GLACIS × Google Cloud

Unlocking Velocity
for Regulated Startups

Vertex AI Native Zero Egress Compliance as Code

AI2 INCUBATOR · CLOUDFLARE LAUNCHPAD

The Ecosystem Friction

The “Pilot Purgatory” Problem

The Engine is Ready

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.

The Liability Gap

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.

18 Months
Avg Compliance Cycle

Average time to production for regulated AI workloads due to audit requirements.

The Timing

The Regulatory Cliff is Here

Startups planning for 2026 deployment must solve for these dates today.

Jun 2026

Colorado AI Act

Requires documented impact assessments and verifiable consumer protection.

Aug 2026

EU AI Act

Full enforcement. Article 12 mandates "automatic recording of events" for high-risk AI.

Jan 2027

California ADMT

Explicit coverage for healthcare decision support. Pre-deployment audit requirements.

The Opportunity: Google Cloud as the "Safe Harbor" for 2026

The Solution

The “Digital Flight Recorder” for Vertex

Cryptographic Chain of Custody

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."

Compliance in a Box

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.

<50ms
Latency
0
Data Egress
100%
Auditable
// THE GLACIS RECEIPT
{
"id": "evt_89234...",
"timestamp": "2025-12-05T10:22:01Z",
"policy": "HIPAA_STRICT_V2",
"verdict": "SAFE",
"checks": [
{"check": "PII_REDACTION", "status": "PASS"},
{"check": "TOXICITY", "status": "PASS"}
],
"signature": "ed25519:7f8a92..."
}
✓ Legally Admissible ✓ Insurable

Architecture

Zero-Egress Attestation

Glacis runs as a sidecar in your GKE cluster, screening both request and response.

Customer VPC

App / GKE Pod

GLACIS Sidecar

PII Redaction

Policy Check

Receipt Sign

Vertex AI

Gemini API

Glacis Witness Service

Attestation anchoring & audit export

Zero Egress

PHI/PII redacted before leaving your VPC. Only sanitized data reaches Vertex.

Bi-directional

Screen both prompts and completions. Catch PHI leakage in model responses.

GKE Native

Deploy via Helm. Runs as sidecar in your existing GKE workloads. No network changes.

Design Partner

nVoq: Home Healthcare Voice AI

Target Pilot

Ambient Scribe for Home Health

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.

Why Google Wins

Glacis makes switching to Vertex AI frictionless for compliance teams. Same audit trail, new provider.

The Ask

Intro to 3-5 healthcare startups in Google for Startups portfolio who are stuck on compliance.

The Proof Point

If we unblock them in 30 days, let's talk about making Glacis the default trust layer for the portfolio.

The Moat

Insurance is the Unlock

"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.

Actuarial Data

Every attestation creates pricing data. Carriers can model risk based on actual policy execution, not assumptions.

Claims Defense

Cryptographic proof of what happened. When litigation hits, you have evidence—not reconstructed logs.

Premium Reduction

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

Built by People Who Lived It

Joe Braidwood

Joe Braidwood
CEO

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.

Dr. Jennifer Shannon

Dr. Jennifer Shannon
MD, Chief Clinical

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

Let's Explore Together

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.

[email protected] • glacis.io