Are out‑of‑range values triggering quality events that slow production and drain time and money?

Imagine a tool inside your MES that instantly identifies exactly which manufacturing event is causing a deviation, no guessing, no endless log‑hunting, just real data in real time.

We’ve built an approach inspired by advanced diagnostic engines: automatically generating detection scenarios from your process logic and validating every data pathway in a controlled environment before anything reaches production.

All of it lives directly within your MES, turning root‑cause analysis into immediate clarity, not an investigation.

Was your Tulip app ready in few weeks and Validation took months? 

We've taken an approach inspired by how testing is handled in software engineering, i.e. generating test scenarios automatically from app logic and verifying connectors in an isolated test environment. 

We're hosting a webinar where we'll walk through a concrete example: how a single Tulip trigger turns into a full set of reusable test scenarios (including edge cases you'd normally miss), and how integration with external systems can be validated without depending on live connections in a simulated test environment - and not in production environment!

We are also gonna cover: 

• AI Regulations for MES in Life Sciences
• Why AI Belongs inside MES

📅 Date & Time: March 26th at 3:30pm

Featured Speakers:
Bruno Jorge Pedrosa Gomes, Senior Data Engineer • FrontWell Intelligence Data AI and Analytics Solutions
Stephanie Placeres Reyes, Solutions Engineer • Low/No-Code MOM Excellence
Andreas Gaube, Assoc. Director • Commercial & Customer Excellence

🔗 Register now!

Only registrations with business e-mail addresses will be authorized.