cerebre Tech Stack

Knowledge graph platform for industrial engineering data extraction

Software Development Boston, Massachusetts 51–200 employees Founded 2019 Privately Held

Cerebre extracts structured data from engineering documents and P&IDs using graph databases (Neo4j, Memgraph) and AI systems to power real-time decision-making in industrial facilities. The tech stack reveals a hybrid architecture: .NET/C# backend with React/Next.js frontend, graph-native query layers, and emerging RAG/LLM systems. Heavy engineering hiring (8 senior roles) focused on database stability, query optimization, and high-performance graphics suggests scaling from MVP toward production workloads at manufacturing scale.

Tech Stack 24 technologies

Core Stack.NET AWS Neo4j GitLab TypeScript React C# RAG GitLab CI/CD Next.js Tailwind CSS JavaScript Figma Azure Memgraph Rider WPF Avalonia RxJS Rx Canvas D3.js Pixi.js Cypher

What cerebre Is Building

◆Challenges

Improving query performance
Maintaining stability and scalability
Rendering issues in studio pro
Ai reliability in industrial environments
Llm grounding in graph data
Query optimization across graph and vector systems
Evolving from engineering drawings to data

▲Active Projects

Building infrastructure for industrial ai
Largest knowledge graph
Compiler pipeline optimization
Database engine stability and scalability
High-performance graphics-intensive desktop applications
Studio pro rendering improvements
Ai systems reasoning over industrial knowledge graphs
Natural language interfaces over complex systems
Ai agents operating across diagrams, documents, and workflows
Data generation from p&id diagrams

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering

Product

Seniority

Senior

Mid

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About cerebre

Cerebre is a data platform designed for facilities and engineering teams in manufacturing, continuous processing, and industrial operations. The product transforms static engineering documents—process flow diagrams, P&IDs, equipment specs—into searchable, interconnected knowledge assets queryable via AI. Founded in 2019 and based in Boston, the company operates with 51–200 employees and is actively hiring across engineering, product, and distributed teams in the US, Poland, and India. Projects span knowledge graph infrastructure, compiler optimization, rendering improvements, and AI agents that reason over diagrams and documents to answer operational questions.

HeadquartersBoston, Massachusetts

Company Size51–200 employees

Founded2019

Hiring MarketsPoland, India, United States

Frequently Asked Questions

What tech stack does Cerebre use?

Backend: .NET, C#, Neo4j, Memgraph, Azure, AWS. Frontend: React, Next.js, TypeScript, Tailwind CSS, D3.js, Pixi.js. DevOps: GitLab, GitLab CI/CD. Also uses Cypher query language, RAG, and RxJS for reactive state.

What is Cerebre building?

Infrastructure for industrial AI including knowledge graph systems, P&ID data generation, natural language interfaces over complex diagrams, AI agents for workflows, and database engine stability at scale.

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How this profile is built

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 →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.