ONIQ builds a Lean-focused analytics platform for manufacturing operations teams. The tech stack—React, Python, Pandas, NumPy, Polars, Dagster, FastAPI across GCP, Azure, and AWS—reflects a data-intensive product handling high-volume production telemetry. Active projects around multi-cloud infrastructure, high-performance data pipelines, and production data visualization signal the company is scaling to handle millions of manufacturing events. Hiring leans engineering-heavy (10 of 15 roles), with leadership in Chief of Staff, suggesting internal ops maturity for a sub-50-person company.
Notable leadership hires: Chief of Staff
ONIQ is a German manufacturing software company founded in 2020, based in Cologne. The IQA Lean Copilot helps operations teams identify inefficiencies and recommend actions across production. The product ingests and analyzes factory floor data at scale, surfacing root causes and improvement opportunities aligned with Lean methodology. The company operates across multi-cloud infrastructure (GCP, Azure, AWS) and has built Kubernetes-based deployment pipelines to support customer deployments. Current hiring spans engineering, sales, and manufacturing roles, with steady velocity in Germany.
Frontend: HTML, CSS, TypeScript, React with Jest and Cypress testing. Backend: Python with Pandas, NumPy, and Polars for data; Dagster for orchestration; FastAPI for APIs. Infrastructure: Kubernetes, GCP, Azure, AWS.
Core focus: IQA Lean Copilot for production analytics. Active initiatives: multi-cloud infrastructure roadmap, high-performance data pipelines handling millions of manufacturing events, Kubernetes deployment infrastructure, and production data visualizations for complex datasets.
Other companies in the same industry, closest in size