01
The good tools are SaaS
The best AI tools live in someone else’s cloud. Your data has to leave your perimeter to use them.
Vendor lane
GleanMicrosoft CopilotChatGPT Enterprise
3 organisations on the waitlist
Sovereign AIfor regulated companies
Give your organisation AI superpowers without compromising your privacy.
BUILT AROUND THE SYSTEMS
your security team already trusts
AWS
S3
KMS
PostgreSQL
CloudTrail
02THE PROBLEM
Your security team isn’t the blocker.
The deployment model is.
02
Security review kills it
So the project dies in security review. Again. Data residency, vendor risk, standing access. Three no-gos.
What it fails
Data residencyVendor riskStanding access
03
Shadow AI fills the void
Meanwhile your team pastes documents into ChatGPT. The risk you blocked just got worse, invisibly.
Quietly used
ChatGPTClaudeGemini
01HOW IT WORKS
The model comes to your data.
Not the other way around.
01
Deploy
Enclave installs inside your AWS account. Your VPC, your keys.
02
EN
Connect
Point it at Slack, Drive, GitHub, Confluence, Jira. Content stays in your perimeter.
03
Ask
Employees query in natural language. Permission-aware, so people only see what they’re allowed to.
04
Trust
Every answer is sourced and logged. Compliance reads the audit trail, unaided.
03SOVEREIGNTY PROOF
Privacy you can audit yourself.
Every vendor says “private.” These five claims 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.
Architectural and policy claims describe the system as designed. Infrastructure claims (deployment location, key ownership, audit logs) are verifiable directly in your AWS console today. Conduct and data-handling claims (no standing access, no training on customer data) are currently self-attested; independent verification (SOC 2 Type II) is in progress and audit findings will be shared with design partners under NDA as they become available.
04THE HONEST COMPARISON
Three paths to enterprise AI.
Two of them aren’t open to you.
PATH 01
SaaS AI
Glean · Copilot · ChatGPT Enterprise
Great products. Not for your data.
Excellent tools, but only for companies that can send their data into a vendor’s cloud. Your security team already said no.
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
05READY
Ready to give your teama company brain?
FOR REGULATED TEAMS DEPLOYING IN THEIR OWN CLOUD