RelationalAI Closes $75M Funding Round for Relational Knowledge Graph

BERKELEY, Calif. — Relational knowledge graph company RelationalAI has closed its $75 million Series B funding round.

The RelationalAI round was led by Tiger Global, with participation from existing investors Madrona Venture Group, Addition and Menlo Ventures, the company said last month.

To date, RelationalAI has raised $122 million in funding. The company, founded in 2017, has about 115 employees, according to LinkedIn.

RelationalAI will use the funds to accelerate product development and go-to-market activities for its relational knowledge graph software.

The platform is intended to express application logic in a relational way to help businesses build intelligent data applications.

The RelationalAI platform is being rolled out. The software is available in preview for developers and enterprise customers. Self-service availability is expected in early 2023.

RelationalAI believes that companies often generate “knowledge silos” when application logic, or as code in source applications, is left behind.

RelationalAI software is designed to combine application logic and relationships using the underlying relational technology. The cloud-native system creates a relational knowledge graph, which can be executed and calculated incrementally in a database.

“We are addressing a great unmet need that could transform the app and data industries,” said Molham Aref, CEO of RelationalAI.

“We believe their system is mission critical to the modern data landscape, and just as important, they have an unbeatable team,” said John Curtius, Partner, Tiger Global.