For product, engineering, and revenue leaders

An AI assistant inside your product that moves your numbers.

Embed a context-aware assistant that answers, acts, and improves itself, right inside your SaaS. Product sees activation and retention climb. Engineering ships it in an afternoon. Revenue turns usage into expansion.

One assistant. Three sets of numbers it moves.

An in-app assistant isn't a support widget bolted on the side. It's a lever on the metrics your product, engineering, and revenue leaders are measured on.

For the CPO

Activation and retention

Users get to value in the moment instead of hunting through your UI. The assistant surfaces the features they'd never find, so adoption deepens and churn drops.

  • Faster time-to-value and higher activation
  • Feature adoption without a docs safari
  • Fewer support tickets, stickier product

For the CTO

Ship it without the eng lift

One script tag or the React / Vue / Svelte SDK. It runs on your runtime, your credentials, and your data, extends in TypeScript, and leaves no fragile agent infra to babysit.

  • Integrate in an afternoon, not a quarter
  • Your data and secrets stay yours
  • Improves itself, so no model-swap projects

For the CRO

Turn usage into revenue

The assistant meets users at the moment of intent, guiding them to paid features, converting trials, and catching churn signals before renewal. Expansion, inside the product.

  • In-product upsell and trial conversion
  • Churn caught before it hits renewal
  • Higher net revenue retention

Try it live

A real Urai assistant, running here on the page. Ask it about Urai, ask it to take an action, and see how it handles your questions.

The engine underneath

The same platform that runs our AI workspace, here embedded straight into your product.

Chat interface

A natural conversation your users actually want to use.

Any model

GPT, Claude, Gemini, and more behind one interface. Bring your own keys. No lock-in.

Code, not just answers

Tool calling plus code generation, so it writes and runs scripts to do the work.

Knowledge search

Grounded, cited answers over your product docs and data.

Skills

Reusable capabilities that compound, and write themselves from real conversations.

The difference: it lives inside your app

Same engine, embedded on your pages, so it knows your user, wears your brand, and keeps the relationship yours.

Context-aware by default

Pass the logged-in user, the account, and the page. The assistant knows who it's talking to and what they're looking at, with no cold starts and no "which account are you?"

On your brand, your domain

Theme every colour, font, and corner. It looks like a native part of your product, not a third-party widget stapled on.

Keeps users in your product

The engagement, the data, and the relationship stay yours, not a chat platform's. That's the retention and expansion story your board cares about.

Embed in one tag

<!-- Drop the assistant on any page -->
<script
src="https://voice.app.urai.dev/api/widget/v1/embed.js"
data-agent-id="<your-agent-id>"
data-user-id="{ user.id }"
defer
></script>

Prefer components? Install the typed React, Vue, or Svelte SDK for the same widget, native to your framework. Your engineers ship it in an afternoon.

Live in your app in three steps

1

Build the assistant

Give it knowledge, skills, tools, and credentials in Urai. Configure the persona and escalation rules, or describe it in plain language and let the coding agent draft it.

2

Make it yours

Theme the widget, set its behaviour, and lock it to your allowed origins. It ships looking like a native part of your product.

3

Embed it

Drop one script tag, or the React / Vue / Svelte SDK. Pass the logged-in user, and the assistant loads on every page. Embed & SDK →

Trusted by teams shipping AI to real users

Internet Infinity Candidate Hub Vigilon AI Wevrr Sedin Technologies SedStart

"What we appreciate most about Urai is the team's availability, openness, and transparency. Their approach to building AI services is particularly thoughtful and innovative."

MB
Marc Bernard
Internet Infinity, Montréal

Put an assistant inside your product

30-minute demo. We'll wire a working in-app assistant to one of your real flows and map it to the metrics your team owns.