Imagine stepping into a digital factory where interacting with data no longer requires complex tables or nested filters—just a simple conversation, thanks to artificial intelligence applied to industry.

This is exactly what makes Zero, Zerynth’s conversational AI agent, a revolutionary tool for those working in industrial environments: its ability to engage in natural dialogue, understand context, and follow the user’s logic.

What Are We Really Talking About When We Talk About AI?

In recent years, artificial intelligence (AI) has become a part of everyday life—whether in company chatbots, cars, or even photo filters. And yet, every time AI is discussed publicly or in the media, there’s often an underlying sense of unease. But why?

One of the main reasons is uncertainty. AI is often portrayed as a mysterious, non-human “brain” that makes decisions in ways we don’t fully understand. And when we don’t understand something, we tend to fear it. It’s a natural human response. The fact that some AI models are so complex that even their creators can’t fully explain them doesn’t help.

But like any technology, AI is a tool. The key is understanding: how it works, what its limitations are, and most importantly, how we can use it responsibly, ethically, and for good.

The Industrial AI Copilot: What It Is and How It Works at Zerynth

Zero is the core of Zerynth’s Industrial AI Copilot Platform, designed to transform the way users interact with industrial data. It’s an intelligent assistant integrated into the Zerynth Portal, enabling users to query business data, extract operational insights, and manage platform functionalities through a simple natural language chat.

The goal is to offer an alternative interface—much more immediate and intuitive than navigating traditional dashboards, reports, and settings.

Zero is designed to become a single conversational access point to all platform features, including apps such as Machine Monitoring, Production Insights, Work Order Management, and more. For example, users can ask Zero to show machine usage KPIs, compare energy consumption across different assets, generate reports, or set automatic notifications when specific events occur—all just by typing naturally, as they would to a colleague.

Its strength lies in its ability to translate natural language requests into concrete actions: configuring event rules, retrieving historical data, or generating documents. In this way, Zero simplifies access to information and speeds up decision-making—even for users without technical expertise.

Real-World Use Case: Natural Interaction and Context Handling

No more endless clicks or switching between dashboards. With Zero, you can start with a simple question like:

Show me active and idle machines.”
Zero immediately returns the real-time status of your production. Then, you follow up:
And which ones have been idle for more than two hours?
The copilot filters the results, maintaining context. Want to focus on a specific asset type? Just say:
“Filter for presses only.”
And finally:
Now show me the usage trend from the last three days.”
Zero gathers all the inputs and gives you a historical view ready for analysis.

The real advantage? You don’t need to be a data analyst or BI expert. Just ask questions as if you were talking to a colleague. Zero interprets, contextualizes, and returns accurate, up-to-date, actionable responses. This workflow is especially useful when time is short and decisions must be made quickly, but also when exploring more complex scenarios—such as asset comparisons, shift-based performance evaluations, or energy consumption analyses.

You can receive real-time alerts and notifications when issues occur:

Alert! Cutter 2 has been in alarm state for over 35 minutes. Would you like more information?

You can reply by asking Zero to help you identify the cause and check for anomalies in recent days.
Zero might respond by telling you, for example, that there was a spike in energy consumption.

Continuous Dialogue for Smarter Decision-Making

One of Zero’s most innovative features is its ability to handle complex conversations and maintain context between requests, just like an experienced operator would. This allows users to progressively dig deeper into a data investigation without starting over or rephrasing every query.

Interacting with Zero is not limited to isolated commands—it flows like a coherent, fluid, ongoing conversation.

This kind of interaction not only boosts productivity but also unlocks the value of data without technical barriers, in a fast and accessible way. Zero can also provide KPI comparisons—such as Machine A vs. Machine B efficiency, or weekly performance—allowing users to make data-driven decisions without manually merging or cross-checking data from multiple sources.

Already a Zerynth Customer? Try Zero in Preview

In essence, Zero is more than just an assistant—it’s a conversational AI agent that guides you through your data and helps you extract value intuitively. It’s like having a virtual analyst always available—one who doesn’t just respond, but helps you reason, explore, and dive deeper. And it does this in your language, following your logic, just like you would talk to a colleague on the shop floor.

Zerynth is now opening the beta testing phase of Zero, our new Industrial AI Copilot, and we’re looking for customers who want to be among the first to experience this new conversational interface powered by artificial intelligence in manufacturing.

If you’re already using the Zerynth platform, this is your chance to contribute to the evolution of the product and experiment with a whole new way of accessing industrial data and managing your digital factory.

Curious to see how Zero can enhance your daily workflow? Join the beta program—you’ll help us improve it, and in return, you’ll get early access to one of the most exciting innovations in AI for industrial applications.
Contact us to apply and be part of this new chapter.

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About the Author: Angelica Puddu

Angelica Puddu
Angelica is the Product Specialist of Zerynth. She graduated in Digital Humanities, so she has a critical perspective of how digital technology is increasingly part of everyday life. She likes to manage and organize projects and, in her free time, she likes to attend theater workshops and play sports.

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