As a research-forward company, Chata’s methods for providing the best AI solutions for database access are constantly evolving. AutoQL, our flagship solution, is built to facilitate unprecedented user experiences for people who increasingly require seamless access to data to make impactful decisions that benefit the businesses they work for.

With AutoQL, the outcome of every natural language query input is returned data that users can rely on for further reporting and analysis. We’ve built embeddable frontend components like the chat window-inspired Data Messenger for instant data on demand, and BI-grade Dashboards that are built using natural language queries, enabling flexible reporting and relevant overviews on the metrics that matter most.

Thanks to our cutting-edge NLP and NLU technologies, automated training data generation techniques, and proprietary machine-learning models that enable dynamic NL to SQL translation, AutoQL is designed to enable conversational dataaccessibility for even the most complex of enterprise-grade databases.

The technology we’re building is our part to play in transforming the digital landscape of today and working towards a future where humans can interact with computers–and more specifically, their data–as intuitively and seamlessly as they interact with each other