AI answers,rendered as product UI.

Leara gives models a safe interface contract, then renders the result with your app's own components, state, and theme.

Public access opens September 27, 2026 in 25d 9h 14m

Generated product UI

Revenue report rendered by your app

No generated code
Applied
Revenue
$284.5M+12.4%YoY
Pipeline
$118.6M+18.1%
Win rate
46.3%+0.4%pp
CAC
$188-7.2%

Revenue momentum

Monthly booked revenue and pipeline growth

  • Revenue
  • Pipeline

Sales by segment

Share of revenue by customer segment

  • Enterprise38.0%
  • Mid-market27.0%
  • Small business18.0%
  • Consumer12.0%
  • Public sector5.0%

Channel performance

Revenue quality by acquisition channel

3 rows
ChannelRevenuePipelineWin rateStatus
Enterprise salesField + strategic$82.4M$48.0M52.1%Scaling
PartnerCo-sell + referrals$54.6M$29.4M49.8%Healthy
Paid acquisitionSearch + social$68.1M$31.2M38.7%Watch

Key insights

What the operating signals suggest

3 insights

Revenue quality is improving

  • Enterprise and partner channels carry the strongest revenue quality.
  • Pipeline is expanding faster than booked revenue.
  • Paid acquisition should stay on watch while CAC normalizes.
?

show Q2 revenue risk

Runtime loop

The model composes.Leara validates.Your app renders.

One request becomes native UI your customers can use. The model names what to show, Leara enforces the contract, and your product owns the final surface.

Model/Runtime/Application
01

Compose

The model chooses registered primitives and fills structured props. No markup, no CSS, no frontend code.

02

Validate

Leara checks every component name, prop, and tree shape before anything reaches your UI.

03

Render

Your app turns the tree into real product surfaces with your components, theme, state, and permissions.

Built for every use case

Leara helps AI products turn responses into interfaces users can explore, share, and act on.

LearaComposeProduct proof

One generated interface, rendered wherever the user is working

Start with a real user question. Leara returns a validated interface tree, then your product decides whether it replaces the current screen or appears as a drawer beside the native workflow.

Inline replacement
route.ts
1import { compose } from "liara";23export async function POST() {4  return await compose({5    prompt: "Show renewal risk for enterprise accounts this quarter",6    primitives: [Metrics, Chart, DataTable, Summary],7    surface: "native-view",8    theme: "system",9  });10}1112// validated in 41ms - 4 registered primitives

Generated product UI

Renewal risk rendered by your app

Applied
At-risk ARR
$1.8M-14.2%
Expansion cover
$620K+8.4%
Save likelihood
71%+3.1%pts

Renewal coverage

At-risk ARR and expansion coverage by week

  • Risk exposure
  • Expansion cover

Accounts to review

Generated from CRM, usage, and renewal notes

3 accounts
AccountSignalAction
Horizon BankEnterpriseUsage down 18%Executive review
Northstar RetailStrategicSponsor changedRenewal plan
Atlas HealthEnterpriseHigh adoptionExpansion path

Decision notes

What the generated route should make actionable

2 insights

Risk is concentrated, not systemic.

  • Horizon Bank is the only material revenue risk that needs executive attention.
  • Atlas Health can move into expansion instead of a save motion.
Ready

Generated where work happens

Replace the current view or open a drawer without sending users somewhere else.

Invalid output stops early

Unknown components, bad props, and malformed trees never mount.

Looks like your product

Generated surfaces inherit the primitives and styling users know.

Adapts to the surface

The same prompt can become an inline dashboard or a contextual side panel.

Provider agnostic

Use the model stack your product already trusts.

Leara gives each provider the same compact interface contract, then validates the output before your app renders it. The same boundary is designed for the model stack your team already trusts.

OpenAI
GPT models
Anthropic
Claude
Google Gemini
Gemini
Mistral
Mistral
xAI
Grok
Cohere
Command

Getting started

Start with Leara primitives. Customize the product surface.

Use Leara's built-in primitive kit as the interface vocabulary, customize the contract around your product, then let the runtime validate, render, and reuse the result.

A practical path from first primitive to production-ready generated interface.

01

Register

Start with Leara's own primitives for the product surfaces AI should be allowed to create.

MetricChartDataTableSummaryForm
02

Request

Pass the model a prompt, your customized primitive set, and the surface where the answer should appear.

PromptPrimitivesSurface
03

Validate

Leara checks component names, props, schema shape, and permissions before anything can render.

NamesPropsSchemaPermissions
04

Render

Leara validates the tree, then your product renders it as a dashboard, drawer, report, or workflow.

ComponentsStateThemeRouting
05

Reuse

The same contract can power dashboards, chat drawers, records, reports, and internal workflows.

DashboardsDrawersReportsWorkflows

Developer experience

Built to feel like infrastructure, not a prompt demo.

Register what your product can do, let the model compose within those boundaries, then render through your own design system.

liara.config.ts
1import { defineLiaraConfig } from "@liara/core";2 3export default defineLiaraConfig({4  endpoint: "/api/liara/compose",5  theme: {6    font: "Geist",7    radius: "12px",8    accent: "blue"9  },10  primitives: [11    Section,12    StatGrid,13    EntityTable,14    Trend,15    RelatedQueries16  ]17});

Pricing

Start with the runtime. Pay when it becomes product traffic.

The SDK stays easy to try. Production usage is metered around the generated UI outputs your product serves.

Free
$0/ month

For local development, SDK trials, and first product tests.

Included100 UI outputs
Requests300 requests
most common
Developer
$29/ month

For solo builders validating AI-native application surfaces.

Included25k UI outputs
Requests100k requests
Team
$149/ month

For product teams embedding Leara inside production SaaS apps.

Included250k UI outputs
Requests1M requests

FAQ

Questions before you put generated UI in production.

The important boundary is simple: the model proposes structure, Leara validates it, and your product stays in control.

What is Leara?

Leara is a runtime for AI-native product surfaces. Models choose semantic interface primitives, Leara validates the result, and your application renders the final UI.

Is this another AI SDK?

No. AI SDKs help you call models. Leara is the layer after model output: composition, validation, rendering contracts, observability, and usage controls for generated product UI.

Does the model generate React or HTML?

No. Models never generate HTML, JSX, CSS, or executable UI code. They compose a constrained Interface that your registered primitives and components render.

Can we use our own components?

Yes. Leara is designed so your SaaS owns presentation. You register the primitives/components your product supports, then style them through your own design system.

Can we use our own LLM provider?

Yes. The runtime is provider-agnostic. You can bring your own model keys through adapters, while Leara focuses on the interface contract around the model.

What do we pay for?

The SDK is easy to try. Paid plans are for product traffic: generated UI outputs, hosted compose endpoints, traces, usage analytics, limits, and team controls.

Does Leara only work with React?

The core Interface contract is framework-neutral. React is the first renderer because it is the most common path for SaaS apps, but the model/runtime boundary is not React-specific.

When should we use Leara instead of chat?

Use it when the answer should become part of the product: dashboards, reports, tables, comparisons, workflows, forms, and contextual product surfaces. For plain text answers, chat is enough.