PaneraTech to show furnace management tools and AI support at glasstec 2026

Sep. 29, 2026
By AI, Created 17:37 UTC, Sep 29, 2026, AGP -

PaneraTech will use glasstec 2026 in Düsseldorf, Oct. 20–23, to pitch a digital furnace management approach that connects inspection data, engineering expertise and AI-enabled support. The company says the goal is to help glass manufacturers make faster maintenance and operational decisions.

Why it matters: - Glass manufacturers face hard calls on when to repair, overcoat or keep a furnace running until the next planned outage. - PaneraTech is positioning data, engineering interpretation and AI support as one workflow for those decisions. - The approach is meant to help plants preserve reliability, focus maintenance resources and retain decision knowledge as workforces and furnace designs change.

What happened: - PaneraTech will bring its “See Your Furnace Differently” campaign to glasstec 2026, Oct. 20–23, at Messe Düsseldorf in Düsseldorf, Germany. - The company will discuss how furnace condition data can be connected to operational action across a furnace campaign. - Visitors can meet CEO Yakup Bayram and the PaneraTech team at Hall 15, Stand 15C63.

The details: - Glass plants collect operating data, inspection results, maintenance records and thermal observations, but key questions can still be difficult to answer. - PaneraTech says those questions include whether intervention is needed now, where maintenance resources should go, whether a furnace can run reliably until a planned repair or rebuild, and what changed since the last assessment. - Bayram said the challenge is not collecting more information, but building a dependable line from furnace condition to engineering interpretation to operational action. - PaneraTech says furnace management has long depended on experienced people interpreting available indicators. - The company says repeatable measurements of refractory condition can strengthen those judgments and make changes easier to compare over time. - SmartMelter portable sensors measure residual refractory thickness non-invasively in applicable furnace areas. - Those measurements can help teams decide whether an overcoat is necessary, focus a repair, review operating plans or identify areas that need closer monitoring. - Bayram said a single inspection is a snapshot and furnace management is a continuing process. - PaneraTech’s Digital Furnace Management approach combines inspection and monitoring information with engineering expertise and structured follow-through. - Depending on the furnace and customer needs, that can include SmartMelter inspections, SmartAudit, XSight software and Polaris continuous monitoring. - PaneraTech said AI becomes useful in furnace management only when it is grounded in quality measurements, historical context and an engineering framework for interpretation. - The company’s AI-enabled support is intended to help teams identify patterns, prioritize attention and make knowledge more accessible while people keep final decision-making responsibility.

Between the lines: - PaneraTech is making a broader case that furnace performance is now as much about information management as hardware. - The company is also tying AI to a narrow, practical role rather than replacing expert judgment. - That framing may resonate with plants that are dealing with more electric and hybrid furnaces, higher cullet use and changing operating practices. - Structured records could help teams preserve the reasoning behind past maintenance decisions as staff and processes evolve.

What’s next: - PaneraTech will spend the glasstec show talking with manufacturers and industry partners about its furnace management approach. - The company is using the event to present AI as a support layer for inspection and monitoring, not a standalone decision-maker. - The broader test will be whether glassmakers see the workflow as useful for daily operations and long-term asset planning.

The bottom line: - PaneraTech wants glassmakers to treat furnace management as an ongoing data-and-judgment process, with AI helping organize the evidence rather than replace the experts.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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