i-flow

i-flow was founded by three former Bosch engineers to tackle the biggest challenge they suffered when trying to scale analytics and AI in factories: data landscapes that are characterized by inaccessibility and poor quality due to heterogeneous system landscapes of operation technology (OT – e.g., machines, sensors) and information technology (IT – e.g., MES, ERP). i-flow is a middleware enabling manufacturing companies to increase discoverability, interoperability and flexibility of factory data to finally unlock the potential of analytics (e.g., in Mendix) and AI (e.g., in Azure AI framework). Within the software, your central data analysts collaborate with the machine integration engineers in your factories to bridge the gap between OT and IT in an effective and scalable way. Instead of wasting resources on data cleansing and preparation, data analysts can now focus on implementing use-cases and creating value. Achieve 10x faster time-to-value and reduce costs by up to 80% for each project.

Providing a no-coding edge software layer for factory data management, i-flow is the only self-service solution that enables manufacturers to leverage factory data at scale with internal resources.

One of the biggest challenges in scaling analytics & AI in factories is poor data quality. In fact, up to 95% of today's factory data is unusable due to the extreme asset diversity in factories. As a result, integrating this data into data-driven use cases wastes 80% of project resources. Until now.