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Getting Started5 min read

Introduction to Advaita

Advaita is an AI-native product intelligence platform that turns raw clickstream events into decisions your team can trust — without writing SQL or building dashboards from scratch.

< 5 minTime to first event
10+Native SDKs
100%Event capture rate

Video walkthrough

New here? This tutorial walks you through getting started with the ACAI chatbot.

Getting started with the ACAI chatbot — connect your data and ask your first questions.

What is Advaita?

Advaita Intelligence is a full-stack product analytics platform built around three pillars: a clickstream capture layer that records every user interaction with zero configuration, an AI analysis engine (ACAI) that answers questions in plain language, and a structured data interface for exporting, querying, and preparing behavioural data.

Unlike traditional analytics tools that require analysts to build queries and dashboards before a team can get answers, Advaita is designed so that anyone — product manager, growth lead, or engineer — can ask a question and get an evidence-backed answer in seconds.

Advaita is currently in private beta. Request access to get your workspace and API key.

How it works

Advaita operates in three stages from event to insight:

01
Capture

Install the SDK in your web, mobile, or server-side app. Every page view, click, and custom event is captured and sent to the Advaita pipeline with full identity context.

02
Process

Events are validated against your schema, enriched with session and device context, and written to your project's clickstream store in real time.

03
Analyse

Use the ACAI chatbot, dashboard, or API to query your data. Build funnels, retention cohorts, or ask a natural-language question and get a chart-backed answer.

Key capabilities

  • ACAI Chatbot — Ask product questions in plain English. Get instant answers with charts, funnels, and cohort breakdowns from your live clickstream.
  • Experiment Analysis — Run A/B tests and compare variants by conversion rate, retention, and segment. Get a statistically validated ship decision automatically.
  • KPI Tracking — Monitor activation, retention, conversion, and churn with real-time alerts and AI-generated context on every metric shift.
  • Root-Cause Analysis — When a KPI drops, ACAI traces the causal event chain, isolates the affected segment, and recommends a fix with estimated impact.
  • Data Interface — Inspect raw events, validate schema health, and export clean, AI-ready datasets in CSV, JSON, or via the REST API.
  • Self-Hosting — Deploy the full Advaita stack on your own infrastructure using Docker Compose or Kubernetes. Your data never leaves your environment.

Architecture

Advaita is built around a single-tenant event pipeline. Each project gets an isolated clickstream store, schema registry, and AI model context. Events flow from SDK → ingest API → pipeline → query engine → ACAI.

SDK → POST /track → Pipeline (validate · enrich · store) → ACAI Query Engine → Dashboard / API

Next steps