AI-powered CAD analysis for industrial parts sourcing and supplier selection
PartSpace automates procurement workflows by analyzing 2D drawings and 3D CAD models to categorize custom-manufactured parts and optimize supplier selection. The stack is .NET + C# + Azure backend with Vue/Nuxt frontend — a mature, enterprise-grade tech foundation. Active hiring across sales (11 open), engineering (9), and ops signals a transition from product-market fit toward scaling the GTM engine and internal infrastructure, with explicit pain points around customer onboarding and pipeline scalability.
Notable leadership hires: IT Project Lead
PartSpace is a SaaS platform that digitizes industrial procurement for manufacturers and procurement teams. The product ingests technical CAD data, clusters components intelligently, enriches part metadata, and integrates with ERP systems (notably SAP) to streamline RFQ workflows and supplier negotiations. Founded in 2021 and based in Germany with 51–200 employees, the company operates across manufacturing supply chains where drawing-based sourcing is the default. Current focus spans three areas: improving customer onboarding velocity, scaling the sales and support infrastructure to handle growing pipeline volume, and building reporting and analytics features for executive visibility into spend and cost savings.
Backend: .NET, C#, Azure DevOps, Azure, and Azure Entra ID. Frontend: Vue, Nuxt, Element Plus, JavaScript, TypeScript, SASS. Also leverages SAP integration, Python, and C++ for CAD parsing and ML model work.
Core projects include AI platform development, transparent reporting systems, professional executive dashboards, pipeline and revenue engine optimization, and customer onboarding improvements. Also scaling internal systems: strategic controlling, HR processes, and finance infrastructure.
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