BERKELEY, Calif. — The relational knowledge graph company RelationalAI closed its $75 million Series B financing round. RelationalAI’s round was led by Tiger Global, with participation from existing investors Madrona Venture Group, Addition, and Menlo Ventures, according to the company last month. To date, RelationalAI has raised $122 million in financing. The company, founded in […]
BERKELEY, Calif. — The relational knowledge graph company RelationalAI closed its $75 million Series B financing round.
RelationalAI’s round was led by Tiger Global, with participation from existing investors Madrona Venture Group, Addition, and Menlo Ventures, according to the company last month.
To date, RelationalAI has raised $122 million in financing. The company, founded in 2017, has around 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 relationally to help enterprises build intelligent data apps.
The RelationalAI platform is in early deployment. The software is available as a preview for developers and enterprise customers. Self-service availability is expected in early 2023.
RelationalAI believes enterprises often generate “knowledge silos” when application logic, or as code in source applications, is left behind.
The RelationalAI software is designed to combine application logic and relationships using underlying relational technology. The cloud-native system creates a relational knowledge graph, which can be executed and incrementally computed within a database.
“We’re addressing a large unmet need, one that could transform the application and data industries,” said Molham Aref, CEO, 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.
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