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AI assistant platform

An AI assistant platform that grounds every answer in your data: RAG pipelines, model routing, evals and analytics — behind one clean API and embeddable UI.

WEBX AI in action

Features

Everything you need. Nothing you don't.

Grounded answers

Connect docs, databases and APIs; every response cites its sources from your knowledge.

Model routing

The right model per query across OpenAI, Anthropic and Gemini — quality up, costs down.

Embeddable UI

A polished chat and command surface you drop into your product with two lines of code.

Evaluation suite

Golden datasets, automatic regression checks and quality scores for every deployment.

Guardrails

Moderation, PII redaction, topic boundaries and jailbreak resistance as configuration.

Usage analytics

See what users ask, where the AI struggles and what it costs — per feature, per customer.

Architecture

Under the hood

WEBX AI sits between your product and the model providers: ingestion pipelines feed a retrieval layer, an orchestrator routes and guards every request, and everything is observable.

1

Ingestion

Connectors, chunking and embedding pipelines for your sources

2

Retrieval

Hybrid vector + keyword search with reranking

3

Orchestrator

Prompt assembly, model routing, streaming and fallbacks

4

Guardrail layer

Moderation, redaction and policy checks

5

Observability

Traces, evals and cost analytics per request

Tech stack

Built on proven foundations

TypeScript
OpenAI
Anthropic
Claude
Gemini
Node.js
PostgreSQL
Redis

In the wild

See it in action

WEBX AI platform infrastructure
Infrastructure tuned for inference
WEBX AI analytics dashboard
Quality and cost analytics per feature
WEBX AI retrieval pipeline
Retrieval pipelines over your data

Implementation

From kickoff to production

Most teams ship their first grounded assistant in three to five weeks, then iterate with the built-in evaluation loop.

Week 1

1. Connect knowledge

Point connectors at your docs, help center and databases.

Weeks 1–2

2. Tune retrieval

Chunking, embedding and reranking tuned against your golden questions.

Weeks 2–3

3. Embed & brand

Drop the UI into your product and style it to match.

Weeks 3–5

4. Evaluate & launch

Run the eval suite, set guardrails and ship behind a feature flag.

Integrations

Plays well with your stack

Notion
Confluence
Zendesk
Intercom
Slack
Google Drive
GitHub
Salesforce
PostgreSQL

Pricing

Simple plans, honest pricing

Every plan includes onboarding with our engineers. Annual billing saves two months.

Starter

€490/month

For a first AI feature grounded in your docs.

  • 3 knowledge sources
  • 50k messages/month
  • Embeddable UI
  • Standard models
Get started
Most popular

Growth

€1,490/month

For AI features serving real customer volume.

  • Unlimited sources
  • Model routing
  • Eval suite & guardrails
  • Priority support
Get started

Enterprise

Custom

For regulated data and self-hosted requirements.

  • VPC deployment
  • Custom models
  • EU data residency
  • Dedicated engineers
Talk to sales

FAQ

Common questions

No. Zero-retention agreements with all providers, or fully self-hosted open-weight models on Enterprise. Your data stays yours.

See WEBX AI on your own data.

A 30-minute demo with the engineers who built it — not a sales script.