in vB

// developed by vBridge Tech Ltd

vBridge AI Chat Assistant for WordPress

A production-ready site assistant — designed, built, and maintained by vBridge Tech Ltd. Visitors ask questions. It streams answers from OpenAI or Gemini, and can use your own WordPress pages as the source of truth.

Learn more

Use the floating button to ask how the plugin works, who built it, or how to install it.

01

UK software studio

Built by the same vBridge team that delivers web, mobile, and API work for enterprise clients.

02

Your content, not generic chat

Index pages and posts. The bot retrieves matching chunks before it answers.

03

Keys stay on the server

API keys are encrypted at rest and never sent to the browser.

SOFTWARE IT OUTSOURCING DNA

Built like client software

vBridge is a UK and India delivery studio. vBridge AI Chat Assistant follows the same rules as our client work: encrypted secrets, rate limits, and a REST API you can reason about.

Learn more about vBridge

DIGITAL TRANSFORMATION

An assistant on every page

A floating widget that matches the host site, streams replies, and can answer from indexed WordPress content — pages, posts, and other public types you choose.

See product features

MODERN SOFTWARE ARCHITECTURE

OpenAI and Gemini today

Switch provider in wp-admin. Claude and Ollama are already in the architecture as stubs for when those integrations ship.

See how it works

// about company

Who we are

vBridge is a software company started by experienced developers who have worked on complex enterprise projects for Fortune 500 firms such as Verizon, Pfizer, and BT. We specialise in software, web and mobile app development, quality assurance, and the automation layers that keep growth teams moving.

vBridge AI Chat Assistant is one of those products: developed in-house by vBridge Tech Ltd so WordPress sites can offer the same class of assistant we build into client platforms.

Experience

Senior engineers, architects, and QA with enterprise web and mobile delivery behind them.

UK-first support

Our UK office owns communication. Delivery capacity in India gives depth without giving up accountability.

Learn more about us

// what we built

vBridge AI Chat Assistant — the product

Everything a site owner needs, without turning WordPress into a science project.

Floating chat widget

A site-wide launcher that opens a polished panel. Mobile goes full-screen. Escape closes. Title, subtitle, and welcome copy are yours to edit.

Streaming replies

Answers arrive token by token over NDJSON. Visitors see the assistant thinking in real time.

Website knowledge

Index published pages, posts, or any public post type. Each question retrieves matching chunks and injects them into the prompt.

Match site branding

Optional auto-match for logo and accent colour. Dark is the designed look; light is available.

OpenAI and Gemini

Switch provider in admin, paste a key, pick a model. Claude and Ollama are stubbed until those providers go live.

Rate limits that hold

Configurable per-IP limits, message length caps, and stripped tags on input. Secrets never reach JavaScript.

// how it works

Four steps. Then it is live.

No Composer required on the destination WordPress install. Zip, upload, activate.

  1. 01

    Install the plugin

    Upload the vbridge-ai-chat-assistant zip from Plugins → Add New, then activate. A vBridge Chat menu appears in wp-admin, with settings for vBridge AI Chat Assistant.

  2. 02

    Add an API key

    Choose OpenAI or Gemini, paste the matching key, pick a model such as gpt-4o-mini or gemini-flash-latest.

  3. 03

    Index your content

    Turn on website knowledge, select post types, and click Re-index. A background reindex also runs after you publish.

  4. 04

    Let visitors ask

    The floating button appears site-wide. Each message retrieves the best chunks and streams an answer grounded in your pages.

// security

The same bar as vBridge client work

Secrets stay on the server. Every request is checked. Abuse has a ceiling.

AES-256 at rest

API keys are encrypted with AES-256-CBC using WordPress salts. Leave a key field blank on save and the existing secret is kept.

Nonce-protected REST

Streaming chat hits a nonce-protected REST route. Keys are never in the front-end script.

Input and rate controls

Per-IP rate limiting is configurable. Message length is capped. HTML tags are stripped before they reach the model.

Owned by vBridge

vBridge AI Chat Assistant is a vBridge Tech Ltd product, licensed under GPLv2 or later. You pay OpenAI or Gemini for model usage. vBridge does not sit in the middle of that billing.

// faq

Straight answers before you install

Or skip the reading — open the chatbot in the corner and ask it.

Who developed vBridge AI Chat Assistant?

vBridge Tech Ltd. We are a UK software studio (Borehamwood) with delivery in India, founded in 2012. This plugin is our product — designed and built in-house.

Which AI providers work today?

OpenAI and Gemini are live. Claude and Ollama are already in the provider architecture as stubs until those integrations ship.

Does it read my WordPress pages?

Yes, when website knowledge is enabled. You choose which public post types to index. On each visitor message the plugin retrieves the top matching chunks and adds them to the prompt.

What does WordPress need?

WordPress 6.5 or newer and PHP 8.2 or newer. Composer is not required on the live site — the plugin ships with a built-in autoloader.

How is chat data handled?

On this demo page, messages go to OpenAI or Gemini so the assistant can reply. We do not keep chat transcripts on this server after the answer streams. If you install the plugin, you are usually the controller for visitor chats on your site. Read the Privacy Policy.

How do I talk to vBridge?

Email info@vbridge.co.uk, call +44 203 488 9980, or visit vbridge.co.uk.

// let’s build

Put vBridge AI Chat Assistant on your WordPress site

Not sure if it fits your site? Ask me — I can walk you through plans, setup, and support.

Ask the assistant on this page anything about the product. When you are ready, install the plugin — or talk to the team that developed it.

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