Free Is your organization ready for self-hosted AI? See what is holding back your AI returns.
Take the AI Readiness AssessmentGive every team the AI they are already asking for: chat, answers from company knowledge and automated workflows. Your documents and prompts never leave infrastructure you control.
Your Corporate VPC / Dedicated Cloud
Why self-host
When enterprises restrict AI, teams turn to shadow consumer tools. When enterprises allow unsanctioned SaaS, security teams lose control over intellectual property and customer data.
Your people are already pasting contracts, code and plans into public AI tools to get their work done. Give them something just as fast that you control, and the leak closes because nobody needs the workaround.
HIPAA, SOC 2, ISO 27001 or data-residency rules: adopting AI should not add a new vendor to your audit. Prompts, documents and tool calls never touch shared infrastructure, and the audit trail lands in the SIEM you already use.
Move between open-weight models, Bedrock, Azure or Gemini as prices and quality change. Your teams keep the same workflows, and you keep your negotiating leverage with every provider.
What you get
Replace a patchwork of chat tools, search pilots and one-off scripts with one platform your security team has already approved.
Organize work by business unit, department or customer account, with permissions to match, so what one person figures out with AI becomes something the whole team can build on.
Agents answer from your own documents and cite the exact passage, so people can verify an answer at a glance instead of taking it on faith. The documents never leave your storage.
Most agent platforms run tools in open shells with broad access to the machine. Urai runs agent code in an isolated runtime, so an agent can calculate, reshape data and call the systems you approve, and nothing else.
Your developers connect an internal system once and every agent can use it. Urai learns from the runs that go well, so answers improve without anyone rewriting prompts.
Add AI to internal portals and tools without rebuilding them or rewriting legacy code.
import OpenAI from 'openai';
const client = new OpenAI({
baseURL: 'https://ai.internal.corp/v1', apiKey: process.env.URAI_API_KEY
});Enterprise Governance
Give security the control it needs without making every team file a ticket to use AI.
People sign in with the accounts they already have, through Okta, Ping, Microsoft Entra ID, Keycloak or any OIDC provider, under your MFA and role policies.
Use the model accounts and rates you have already negotiated. Keys are applied per project and never reach end users.
Answer any audit question. Every prompt, script, document access and tool call is tied to a named user and exported to your SIEM.
Your logo, colours and usage guidelines, so people recognise it as an approved internal tool and use it the way you intend.
Deployment Architecture
Run Urai on the infrastructure and standards you already have, with no new tooling for your teams to learn.
Private Cloud VPC
Run in your own AWS, Google Cloud or Azure account, behind the network controls you already trust.
On-Premises
For environments that cannot touch the public internet at all.
Dedicated Tenancy
All the isolation of your own deployment, with our team running updates and operations for you.
AI readiness assessment
Before you choose a platform, find out what is actually holding back your AI returns and what to fix first. Answer the scenario here to see where you would land.
Take the full assessmentTry a scenario