Engineering document digitization and knowledge graph platform for industrial facilities
cerebre turns static engineering documents such as P&IDs into connected, queryable data for industrial operators. Its stack pairs two graph databases, Neo4j and Memgraph, with a rendering-heavy frontend (Canvas, Pixi.js, D3.js, React) and a .NET/WPF/Avalonia desktop layer, consistent with a knowledge-graph product with interactive diagrams. Hiring is entirely senior-skewed engineering across Poland and the US, though velocity is slowing.
cerebre is a Boston, Massachusetts-based software company founded in 2019 that digitizes engineering documentation for industrial facilities. Its platform converts drawings and legacy-format documents into searchable, enriched data assets that support operations, production optimization and continuous manufacturing. The company focuses on IT/OT architecture, machine learning and P&ID digitization. It is privately held, has 51–200 employees, and runs engineering teams in the United States and Poland.
cerebre uses .NET, C#, Python, Go and TypeScript, with Neo4j and Memgraph graph databases, React and Next.js frontends, and Kubernetes, Terraform, Flux and GitLab CI/CD on Azure and AWS.
Yes. cerebre's open roles are entirely in engineering, mostly at senior level, with hiring in Poland and the United States, though hiring pace is currently decelerating.
cerebre is building a large knowledge graph, evolving a complex web application, advancing its core platform, and improving strategic deployments and customer deployment processes.
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cerebre's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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