AI-powered hardware and software platform for factory automation
Vention builds a combined hardware-software platform that lets manufacturers configure automated production systems via cloud-based CAD and AI. The tech stack reveals dual engineering depth: robotics control (Fanuc, Universal Robots, ABB integrations), real-time motion systems (gRPC, MQTT, Protocol Buffers), and web/cloud infrastructure (Python, Node.js, React, Next.js, FastAPI). Active projects around 3D simulation, middleware layers, and motion control suggest Vention is moving beyond templated automation toward custom, physics-aware system design—a shift that explains their hiring surge (58 roles in 30 days, heavily weighted to engineering and sales) and internal focus on supply chain resilience and lead-time reduction.
Notable leadership hires: Supply Chain Director
Vention is a Montreal-based automation platform founded in 2016 that helps manufacturers design, simulate, and deploy custom production automation without extensive engineering cycles. The product spans cloud CAD for machine design, integrations with leading robot platforms (Fanac, Universal Robots, ABB), and AI-assisted configuration. The company serves mid-market and enterprise manufacturers scaling production. With 201–500 employees across Canada, Germany, and Peru, Vention is operationally distributed and hiring rapidly—particularly in engineering and sales—while managing internal challenges around regulatory compliance, supply chain complexity, and gross margin expansion.
Vention integrates with Fanuc, Universal Robots (UR), and ABB robot platforms via APIs and control layers. The stack includes native support for cobot (collaborative robot) workflows and custom motion control.
Core: Python, C++, Node.js, React. Robotics: Fanuc, UR, ABB SDKs. Cloud: Docker, Debian, CI/CD pipelines. Messaging: MQTT, gRPC, Protocol Buffers. Backend: FastAPI, NestJS, Ruby on Rails. ERP: NetSuite integration via SuiteScript.
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Vention'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.