This Berkeley-based AI startup is using Knowledge Graphs, the technology behind Google’s Knowledge Panel feature, to revolutionize data-driven apps for businesses

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Cloud data platforms are increasingly becoming part of the modern data stack, reducing data silos and making all of their application data available to the entire organization from one system. unique. While this has provided significant business benefits, it has also resulted in the unintended effect of creating “knowledge silos” since application logic, defined as code in source applications, is left behind. Data science and the next generation of data applications represent relationships that are too complicated for SQL to handle, requiring a different application stack, programming model, and procedural language.

The relational knowledge graph, a new generation of database systems, attempts to integrate complex business logic and machine learning into the database itself. By fusing database systems with relational knowledge graphs, tech startup RelationalAI is reimagining data application development by making it easier for domain experts and developers to collaborate and build intelligible and executable business logic. .

Using the underlying relational technology, the RelationalAI invention integrates application logic and relationships. It’s a technology that enables everyone to access, interpret and modify intelligent data, bringing business expertise closer to corporate data. Google and LinkedIn were among the first to use knowledge graphs to improve search results and better understand people’s connections. RelationalAI brings this kind of power to all businesses, enabling them to innovate and gain competitive advantage.

By allowing data applications to be developed declaratively in-database, RelationalAI complements the contemporary data stack. This allows data applications to access information for sophisticated tasks such as graph reasoning and analysis, mathematical optimization, and machine learning, while staying within the confines of a modern data stack and fully functional. The RelationalAI system is available as a fully hosted cloud service with consumption-based pricing and self-service tools to simplify building knowledge graph-based applications.

The Berkeley-based startup raised $75 million in a Series B funding round, led by Tiger Global, with participation from existing investors Menlo Ventures, Madrona Venture Group and Addition. With this round, the company’s total raise amounts to $122 million.

RelationalAI will use these funds to accelerate product development and go-to-market efforts for its relational knowledge graph technology.



Donald E. Patel