01
The good tools are SaaS
The good AI tools are SaaS your data has to leave to use them. Compliance says no.
Vendor lane
GleanMicrosoft CopilotChatGPT Enterprise
Sovereign AI for regulated industries
Deploy AI.Keep your data.
A company brain for your internal knowledge. Enclave connects Slack, Drive, GitHub, Confluence, Jira, and the rest then deploys inside your AWS account with your S3, KMS keys, Postgres, and audit logs.
Runs in your AWS accountVendor principals excluded from key policiesSourced answers only
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Built around the systems
your security team already trusts
AWS
S3
KMS
PostgreSQL
CloudTrail
The problem
Your security team isn’t the blocker.
The deployment model is.
Three reasons regulated AI projects stall and the workaround that quietly makes the risk worse.
02
Security review kills it
So the project dies in security review. Again.
What it fails
Data residencyVendor riskStanding access
03
Shadow AI fills the void
Meanwhile your team is pasting documents into ChatGPT. The risk you blocked just got worse, invisibly.
Quietly used
ChatGPTClaudeGemini
How it works
The model comes to your data.
Not the other way around.
Your AWSus-east-1
Inside VPC
Enclave
S3·KMS·VPC
01
Deploy
Enclave installs inside your AWS account. Your VPC, your keys.
02
Connect
Point it at Slack, Drive, GitHub, Confluence, Jira. Content stays in your perimeter.
Where’s the rollback runbook?
03
Ask
Employees query in natural language. Permission-aware people only see what they’re allowed to.
14:02:08vector.search
14:02:09permission.check
14:02:11answer.return✓ ok
04
Trust
Every answer is sourced and logged. Your compliance team reads the audit trail, unaided.
Sovereignty proof
Privacy you can audit
yourself.
Every vendor says “private.” These are the five claims that survive a security review each one verifiable inside your own AWS console.
Your AWS accountus-east-1
Inside your VPC
Enclave
S3·KMS·Postgres·CloudTrail
Outside
Vendor (us)
No standing access
01
Runs in your cloud account
Not a "dedicated instance" we operate. Our control plane never touches your data.
02
You hold the encryption keys
Our principals are excluded from your KMS key policy. Verify it in your console.
03
No standing access inside your perimeter
We cannot reach your data, even if compelled. Subpoena us you keep your keys.
04
Full audit log in your CloudTrail
Your compliance team reads it without calling us. Every action attributable, end-to-end.
05
We never train on your data
Because we never see it. The model runs inside your VPC. Weights stay. Data stays.
The honest comparison
Three paths to enterprise AI.
Two of them aren’t open to you.
You’re comparing us to something whether we name it or not. Here’s the honest version no feature tables, no swipes. Just the trade-off each path actually carries.
Path 01
SaaS AI
Glean · Copilot · ChatGPT Enterprise
Great products. Not for your data.
Excellent tools for companies that can send their data into a vendor’s cloud. Your security team already said no, and they were right to.
Closed by compliance
Path 02
Build it yourself
Internal RAG · custom LLM ops
8–12 months. ~$1.5M. Forever yours.
3–4 engineers, indefinite roadmap, and the compounding cost of keeping pace with model + pipeline tooling. Most builds never quite ship.
Slow, expensive, never done
Path 03Your lane
Enclave
Sovereign infrastructure
Sovereign by architecture. Live in weeks.
Deploys inside your AWS account. You own the data; we maintain the engine. Same isolation as a build without the 12-month detour.
Open to regulated companies
Ready
The Company Brain your security team can actually approve.
Because nothing leaves your perimeter.
For regulated teams deploying in their own cloud