Knowledge graphs for industrial engineering data and process systems
Cerebre extracts and structures engineering data from process diagrams and legacy documents into searchable knowledge graphs. The stack—Neo4j, Memgraph, .NET, and React—is purpose-built for graph traversal and visualization of complex industrial systems. Heavy engineering hiring (14 of 17 roles) focused on senior levels signals deep technical work in generative AI and agentic workflows to automate data transformation at scale.
Cerebre helps industrial and manufacturing facilities unlock engineering data trapped in static documents and disconnected systems. The platform transforms process diagrams (P&IDs), technical drawings, and unstructured engineering knowledge into queryable, connected data assets. Founded in 2019 and headquartered in Boston, the company serves facilities teams and engineering departments seeking to move from drawing-based operations to data-driven decision-making. Current hiring emphasis (Poland and India) suggests distributed engineering expansion.
Neo4j and Memgraph for graph storage, .NET and C# for backend, TypeScript/React for frontend, and D3.js/Pixi.js for visualization of complex engineering systems.
Digitizing P&ID diagrams and process systems into structured data, building large-scale knowledge graphs, and developing generative AI and agentic AI workflows for automated industrial data analysis.
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