SaaS Evolution // Existential Protocol

Embed AI into your product in minutes

Or your users will use AI somewhere else

Add copilots, AI search and automation with 3 lines of code

<script src="https://embedai.dev/embed.js"></script>
What is this? Works with OpenAI / Claude / Gemini (via your API key)
No backend changes required to try it
EmbedAI // Operational Book Meeting
Interactive // Live Preview

Live Embedded Demo

See it in action

This is a fully functioning preview of what you can add to your product using our 3-line embed.

  • Ask questions about product docs
  • AI search across docs & tickets
  • Workflow automation / actions
Support Copilot // Demo
Positioning // Buy vs Build

How EmbedAI Compares

Option Time Complexity Notes
Build AI internally 3–6 months High LLM ops, evals, auth, UI, cost control
Roll your own API calls Weeks Medium You still build UI, retrieval, safety
EmbedAI Minutes Low Drop-in embed + config
Infrastructure // Compatibility

Enterprise-Ready & Model Agnostic

Works with

OpenAI, Anthropic, Google (Gemini), Groq, and custom endpoints.

Deploys anywhere

Vercel, Netlify, AWS, Cloudflare - fully infrastructure agnostic.

Data handling

We do not use customer data to train our models. Zero/limited retention available depending on provider settings.

Security

Built on SOC 2-compliant providers. Data encrypted in transit and at rest. See handling details.

Context // Before vs After

The Competitive Pivot

Legacy Status

Static Operations

Reactive workflows dependent on manual user input, leading to high friction and user fatigue.

Embedded Status

Autonomous Intelligence

Proactive workflows that anticipate user needs and execute logic autonomously at scale.

Core Definition // SEO Protocol

EmbedAI.dev is a way of embedding AI features such as copilots, chat assistants, search, and automation into existing apps/sites easily, quickly and cost effectively.

The AI Disruption // Narrative Hook

Every SaaS product is becoming an AI product

Your customers are already using AI tools like ChatGPT, Claude, and Perplexity every day.

If your product doesn’t have AI built in, your users will leave your product to use AI somewhere else.

EmbedAI lets you bring AI directly into your product experience before your competitors do.

Outcomes // Core Capabilities

How to Embed AI into Your Product

AI Copilots

Empower users with intelligent assistants that guide workflows and answer queries in real-time.

AI Search

Replace legacy keyword search with semantic, natural language discovery across your entire dataset.

AI Automation

Automate repetitive, high-friction tasks with LLM agents that execute logic autonomously.

AI Insights

Transform raw product data into proactive, actionable intelligence for your end users.

Integration // 3 Simple Steps

Ship AI Features in Minutes

01

Connect Your Data

Cleanly upload documents, connect your APIs, or sync your product databases in one click.

02

Configure Your AI

Select your preferred models, define prompts, and set hard-coded safety guardrails.

03

Embed Into Your Product

Drop a 3-line script tag to bring AI to life inside your user experience in minutes.

Applications // Vertical Integration

Infinite Ways to Embed AI

AI Copilot for SaaS

Integrate a technical sidekick that understands your product's specific UI and helps users complete complex tasks without leaving the app.

AI Support Assistant

Deflect up to 80% of support tickets by embedding a RAG-powered agent that has read every line of your documentation.

AI Workflow Automation

Let AI bridge the gap between different modules in your app, triggering complex actions based on simple natural language intent.

AI Knowledge Search

Turn your static data silos into a conversational interface where users can ask questions and extract instant value.

Target // User Personas

Built for the Modern Product Stack

SaaS Founders

Add AI features fast to outpace competitors and retain users.

Product Teams

Rapidly prototype and test AI-driven user experiences without dev overhead.

Developers

Embed copilots and AI assistants with a clean JavaScript tag and minimal code.

Guide // Technical Depth

Production Architecture: RAG, Vector Search & Guardrails

Embedding AI into a modern product requires more than just calling an API. It involves sophisticated LLM orchestration, ensuring your application can handle complex multi-step reasoning while maintaining state and context.

The Power of Vector Search

To make AI truly intelligent, it needs access to your specific data. We utilize high-performance vector search and RAG (Retrieval-Augmented Generation) to ground the AI's responses in your proprietary knowledge base, preventing hallucinations and ensuring accuracy.

Prompts and Guardrails

Effective AI integration relies on precision prompt engineering. However, at scale, you need more than just good prompts—you need hard-coded guardrails. EmbedAI manages these safety layers for you, ensuring your AI remains brand-safe and focused on the task at hand.

By abstracting this complexity, EmbedAI allows you to focus on building your core product while we handle the heavy lifting of AI infrastructure.

Developer // Integration

Quickstart: 3 Steps to Live

01 Add the script tag

<script src="https://embedai.dev/embed.js"></script>

02 Add the mount target

Place this anywhere in your app's HTML where you want the copilot to appear.

<div id="copilot-root"></div>

03 Configure Your Keys

<script>
  EmbedAI.init('YOUR_API_KEY', '#copilot-root');
</script>

Production Security

For demos, client-side initialization is OK. For production, do NOT ship long-lived secret API keys to the browser.

Use server-minted ephemeral tokens or your own API proxy endpoint (e.g., /api/embedai-token) to keep your keys secure.
Information // FAQ

Frequently Asked Questions

Is this just a chatbot?

No. While it can function as a chat interface, EmbedAI has deep integration hooks to trigger actions, execute workflow automation, and perform natural language search across your app's internal database.

Do I need a backend?

Absolutely not. EmbedAI runs entirely client-side via a lightweight JS snippet. We handle all the vector database routing, LLM orchestration, and session management on our infrastructure.

Which models work?

You can bring your own API keys for OpenAI (GPT-4o), Anthropic (Claude 3.5), Google (Gemini 1.5), or Groq (Llama-3.1). We are entirely model-agnostic.

How do you handle data?

We act solely as a passthrough layer. We do not train on your user data. On the Pro tier, we offer a zero-retention policy ensuring prompts and outputs are discarded immediately after generation.

Can I style it?

Yes. Every element of the EmbedAI UI is customizable via standard CSS passing or JSON configuration objects. You can match the copilot seamlessly to your brand's aesthetic.

How to Embed AI Into a SaaS Product

Building AI into a mature SaaS platform usually means dealing with vector databases, custom integration pipelines, auth handling, and brittle LLM calls. It distracts core engineering teams from shipping product features.

EmbedAI solves this by giving you a drop-in component. It abstracts away the infrastructure so you can safely inject AI into your application logic without restructuring your backend.

  • Zero backend maintenance or database provisioning.
  • Seamless UI matching your existing brand rules.
  • Complete control via your own API keys.
Read the Quickstart →

AI Copilot for SaaS Applications

Users demand conversational, context-aware assistance inside complex B2B apps. But building an in-app "copilot" requires orchestration that easily takes up months of engineering bandwidth.

With EmbedAI, rolling out an AI copilot for your SaaS application becomes a frontend task. Integrate our JavaScript snippet, point it to your docs or API, and instantly upgrade your generic app into an AI-first native experience.

  • Instant answers based on your platform's private data.
  • Triggers automated workflows on behalf of the user.
  • Greatly reduces L1 support tickets.
View Pricing →

Add AI to Your App With JavaScript

Many AI SDKs enforce heavy dependencies or strictly require certain backend frameworks, breaking your stack or inflating bundle sizes.

EmbedAI is a framework-agnostic, lightweight integration. Adding AI natively into your app requires only pure JavaScript. It deploys cleanly whether you use React, Vue, Angular, or vanilla HTML.

  • No framework lock-in.
  • Minimal impact on bundle size.
  • Quick implementation.

AI Assistants for Software Products

Traditional support widgets feel clunky and disconnected from actual software functions. Standard chatbots often fail to execute state changes in the underlying app.

Our deep embedded AI assistants act as true co-pilots. They understand context, can take actions, and exist seamlessly within your software's flow, improving adoption rates and overall user satisfaction.

  • Deep integration with your DOM and API.
  • Customizable personalities.
  • High accuracy document RAG out-of-the-box.
Subscription // Adoption Protocol

Simple AI-First Pricing

1 AI Message = 1 User Prompt + 1 AI Response. No complex token counting.

01 // Onboarding

Free

£0/mo

  • 1,000 AI messages /mo
  • Basic embed widget
  • 3-Line JavaScript Tag
  • Basic analytics
  • Community support
  • No credit card required
Start for free
02 // Production

Pro

£79/mo

  • 100,000 AI messages /mo
  • Custom Prompts
  • 3-Line JavaScript Tag
  • Analytics Dashboard
  • Priority Support
Upgrade to Pro
Platforms // Where We Embed

Works Everywhere

iOS/Android Apps
Websites
Progressive Web Apps
Initiate // Contact

Bring AI directly into your product.

Add AI features like copilots, automation, and natural language search in minutes. Secure your market share before AI replaces your product.

Embed AI into Product AI Copilot for SaaS How to Add AI to Your App AI Assistant for Website AI Search for Software