Upcoming events

R&D teams manage dozens of test configurations across different systems and formats. Learn to ingest and normalize configurations from HTTP APIs, LabVIEW, Git, and files into standard JSON.

Test data needs proper schemas for analytics. Learn to design data structures that enable efficient querying, visualization, and AI while maintaining engineering context.

In this masterclass we will talk about the importance of consolidating diverse test data, generated during R&D lifecycles, into a standard schema and show you how easy it is to achieve.

Test rigs use diverse data interfaces such as CSV files in local file systems or real-time data via MQTT or tools like LabView. This data must be readied for storage, analytics, and reprocessing.

F1 sets the R&D standard, yet even top teams gain barely 1% in pace over 24 races. Learn what limits most R&D teams—and how to speed up feature development.

Learn how to build pipelines in Quix with natural language and find out how we build an MCP server from API docs

Reliable industrial data ingestion needs a system that can handle volume, integrity, instability, variety, latency, and silos.

In this webinar, our customer CloudNC will present how they optimize manufacturing processes in their factory with Quix.

In this webinar, we’ll go through real world examples from industrial companies in the energy, manufacturing and transport sectors.

In this webinar, we will discuss some of the challenges around ingesting high volumes of high frequency sensor data into a centralized cloud data store.