Align AI

As LLM-powered apps generate unstructured conversation data rather than discrete button clicks and page views, teams building them need a new category of analytics that can make sense of natural language interactions at scale.

Align AI provides exactly that: a specialized analytics engine for understanding what users actually say and do in AI-native products.

The platform's Universal Search capability transforms the way teams explore their conversational data.

Instead of writing complex SQL queries or building custom dashboards, product managers and engineers can search conversations in plain English typing queries like 'Find me sessions where users expressed frustration with the onboarding' and receiving immediately relevant results.

This natural language query interface dramatically lowers the barrier to extracting actionable insights from conversation logs that would otherwise require significant data engineering work.

Real-time data ingestion means that conversational data flows into Align AI as it is generated, enabling teams to monitor their AI product's behavior live rather than working from yesterday's data exports.

The platform integrates with a broad range of data sources including AWS S3, Google BigQuery, PostgreSQL, and MySQL, making it straightforward to connect an existing data infrastructure without rebuilding pipelines. The SDK connection process is designed to be simple enough for small teams to implement quickly.