MESPAS Released Texel Shipmanagement Software Update
The new version creates a data foundation to support future natural-language AI queries for vessel operations.
Updated on Sept. 28, 2026 in Artificial Intelligence
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Swiss software developer MESPAS has released its Texel platform update for the maritime industry. The release centralizes vessel maintenance, procurement, and safety data into a single architecture to prepare for future AI-powered analytical capabilities.
Why it matters
By unifying disparate datasets, the update positions the company to implement AI query modules that will allow fleet managers to ask natural-language questions about performance. This creates a transition from traditional static software to proactive, data-driven fleet management.
The Texel update features a new API designed for external analysis of maintenance job cards and QHSE forms. It also standardizes machinery, procurement, and safety data to allow for granular reporting and task-based notifications.
The players
MESPAS
A Swiss-based software developer that provides specialized management platforms for the maritime industry.
The details
The platform now enables crews to manage QHSE forms via a mobile app, while procurement processes have been streamlined with automated display of contracted prices and custom account code assignments. A new API facilitates the integration of external systems for deeper analysis of maintenance records.
Timeline
MESPAS released the Texel software update in September 2026.
The Tech Race
This release reflects a broader technological shift where maritime software providers are moving away from siloed manual systems toward centralized data lakes. This positions MESPAS to compete with integrated maritime digital platforms that are increasingly utilizing generative AI for fleet oversight.
Users can expect improved workflow efficiency through automated notifications for overdue maintenance and the ability to save custom search filters for repeat tasks. The mobile QHSE form integration provides crews with a faster method for reporting safety and operating information.
The takeaway
Companies should prioritize the standardization of operational data to ensure readiness for emerging AI tools. Simplifying data entry today creates the high-quality information streams necessary for accurate automated analysis in the future.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
Source note: This article includes information reported by Splash247.
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