Datalang

Datalang is an AI-powered platform for building custom chatbots that interact directly with your existing data sources. It enables teams to connect structured and unstructured data—from Postgres databases, websites, Google Sheets, Notion, files, raw text, and HTML—and expose that information through conversational interfaces. The primary purpose of Datalang is to make it straightforward to deploy accurate, data-aware assistants without needing to build complex back-end infrastructure or pipelines from scratch.

Datalang supports ingestion and synchronization of multiple data types, allowing you to unify content from relational databases, documentation sites, internal wikis, spreadsheets, and uploaded documents. It provides tools for configuring how the chatbot should interpret, retrieve, and combine information, helping ensure responses are grounded in the latest available data. The platform typically includes capabilities such as schema-aware querying for Postgres, crawling and indexing of websites, and structured parsing of spreadsheets and Notion pages. Access controls and configuration options help you manage which data is exposed and how it is used in conversations.