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For security, platform, and infrastructure teams

Your cloud.
Your data.
Your tools.

Kuudo runs inside the AWS, Google Cloud, Azure, or Cloudflare account your team already trusts. No shared multi-tenant pool. No data sent to train someone else's models. A private, owned deployment from day one.

Supported cloud providers

AWS
39 regions
GCP
43 regions
Azure
80+ regions
Cloudflare
337 cities

// Built on what your team already trusts

AWS, Google Cloud, Azure, and Cloudflare — pick the cloud your team already runs on.

It runs on the primitives your security and platform teams already use — VPC peering, managed keys, private networking — so there's nothing new to vet and nothing to migrate.

Amazon Web Services

39 regions · bring your own cloud

Deploy into your own AWS account with VPC peering, PrivateLink, and KMS-managed keys. Kuudo stays inside your data plane.

Native services

EKS Fargate RDS S3 Lambda KMS PrivateLink CloudWatch
SOC 2 HIPAA FedRAMP ISO 27001

Google Cloud Platform

43 regions · bring your own cloud

Run inside your own GCP project with Workload Identity, VPC Service Controls, and CMEK encryption at rest.

Native services

GKE Cloud Run BigQuery GCS Pub/Sub Cloud KMS Private Service Connect
SOC 2 HIPAA ISO 27001 PCI DSS

Microsoft Azure

80+ regions · bring your own cloud

Bring Kuudo into your Azure tenant with Private Link, Managed Identities, and customer-managed Key Vault keys.

Native services

AKS Container Apps Cosmos DB Blob Service Bus Key Vault Private Link
SOC 2 HIPAA FedRAMP High ISO 27001

Cloudflare

337 cities · bring your own cloud

Edge-first deployments on Workers, D1, R2, and Durable Objects: low latency, your domain, your access policies.

Native services

Workers D1 R2 Durable Objects Queues KV Access
SOC 2 ISO 27001 PCI DSS

// What private deployment actually means

One deployment. One tenant. Yours.

Most AI tools quietly pool data, embeddings, and prompts into infrastructure they control. Kuudo flips that: every deployment is isolated, owned by you, and provisioned inside your cloud account.

Shared multi-tenant SaaS

How most AI tools handle your data

Vendor-owned cluster
Acme Co
Your Co
Rival Inc
Brand X
Brand Y
Vendor Z
Shared embeddings pool training loop
  • Data leaves your cloud perimeter
  • Prompts and embeddings feed shared systems
  • Noisy neighbors share your compute
  • Vendor controls keys, logs, and access

Private, owned deployment

How Kuudo handles your data

Your AWS account
Kuudo / private runtime
Your GCP account
Kuudo / private runtime
Your Azure account
Kuudo / private runtime
Your Cloudflare account
Kuudo / private runtime
  • Data stays inside your cloud account
  • No training on prompts or content
  • Dedicated compute and dedicated keys
  • You own the audit trail end to end

// Six guarantees, every deployment

Six guarantees, written into every deployment.

Bring your own keys

AWS KMS, Cloud KMS, Azure Key Vault, or Cloudflare-managed keys. Rotate or revoke at any time.

Competitor-free

Your data never leaves your cloud account. Your competitors can't see it, and AI platforms can't train on it.

Your data stays put

Storage, queues, databases, and vector indexes live in your account.

No model training

Prompts, embeddings, and outputs are never used to train shared or third-party models.

Your identity, your roles

SSO through Okta, Entra ID, or Google Workspace. SCIM provisioning and roles sync to your IdP.

You own the audit trail

Choose your own audit trail. Lands actions in CloudTrail, Cloud Audit Logs, Azure Activity Log, or your Cloudflare logs.

Backed by the architecture, not the fine print — read how Kuudo isolates your deployment.

// Private by default

Private, trusted, and locked down in your cloud.

Deploy Kuudo entirely inside your own infrastructure. You keep control of your data, your security posture, and your compliance.

100% Private Cloud

Process company data entirely within your own trusted, dedicated infrastructure. Prompts and outputs are never exposed to competitors or AI platforms' networks.

Your Tools

Connect private models directly to your favorite AI clients. Give your team ChatGPT, Claude, Codex, and n8n — all running inside your infrastructure boundary.

Deploy in Minutes

Go live in minutes. We ship the complete, production-ready deployment straight to your cloud account.

No one else in the loop.

With Kuudo's private deployments, everything stays inside your own trusted boundary. We never see your data, your competitors don't, and AI platforms can't train on it.

FAQ

Common questions.

Where does Kuudo actually run? +
Inside the AWS, Google Cloud, Azure, or Cloudflare account your team already operates. It is a private, owned deployment rather than a seat in someone else's environment.
Is this a shared multi-tenant service? +
No. There is no shared multi-tenant pool. Your deployment lives in your own account and stays inside your data plane.
Is our Amazon data used to train models? +
No. Your data is not sent off to train someone else's models. It stays in the cloud account you control.
What will our security team have to review? +
The primitives they already use: VPC peering and PrivateLink on AWS, Workload Identity and VPC Service Controls on Google Cloud, private networking and managed keys throughout. There is nothing new to vet and nothing to migrate.
Which providers and regions can we deploy into? +
AWS, Google Cloud, Azure, and Cloudflare, spanning dozens of regions each and Cloudflare's global city footprint. Pick the cloud your team already runs on.
Who holds the encryption keys? +
You do. Deployments use customer-managed keys through the provider's own key service, such as KMS on AWS or CMEK on Google Cloud.

// Ready when you are

Your edge is only yours if it runs where you control it.

Deploy Kuudo inside your own AWS, GCP, Azure, or Cloudflare account. Send us your provider and target region; we map the private runtime, security boundary, and deployment model to your platform team's standards.

Your perimeter. Your keys. Your Kuudo.