Databricks, the Data and AI company, today announced the acquisition of Einblick, an AI-focused data platform. Founded by researchers from the Massachusetts Institute of Technology and Brown University, whose research explored the boundary of Machine Learning, Human-Computer Interaction, and Natural Language Processing, the Einblick team has spent the last four years building an AI-native collaboration platform that helps users solve data problems with just one sentence.
Einblick + Data Intelligence
The rise of generative AI is enabling a new generation of data systems: Data Intelligence Platforms. Unlike earlier generations of data infrastructure, Data Intelligence Platforms will natively provide natural language interfaces that give non-expert users access to insights and information while also helping expert users move much faster. Data Intelligence helps users simply ask questions of their data platform and get detailed and high-quality answers.
The Einblick team has pioneered state-of-the-art techniques for translating natural language questions into the code, charts and models needed to generate insights. This not only requires applying the latest generative modelling capabilities but also highly optimising them for the data-related questions.
The next wave of data tools must also understand more than general language to work well, they need to understand the jargon and semantic information specific to each company. The integration of Einblick with Databricks promises to significantly enhance the capabilities of both entities by ensuring a deep synergy with the existing data catalogue.
The Einblick Story
Founded in 2019 by Emanuel Zgraggen, Philipp Eichmann, and others, Einblick was an early innovator harnessing the power of natural language as a foundational UI principle. The team saw the potential for AI to enable non-technical users to glean advanced data insights from their early research experience at world-class research programs like MIT and Brown.
Einblick’s approach of integrating AI directly into the authoring surface enables users to seamlessly transform their thoughts into comprehensive data workflows. The Einblick team built a sophisticated multi-step architecture that processes raw user input, enhances it with relevant contextual information, and breaks it into smaller solvable chunks using SQL, Python, and higher-level logical operators.