Oct 23, 2025
Technis accelerates global smart space solutions with akenza IoT platform
Alexis Leibbrandt
The strategic partnership enables Technis to deliver highly scalable, white-labeled applications for advanced people-counting sensors.
Technis, a leading provider of smart space and real-time data solutions, is accelerating its global deployment of smart space technology through a strategic partnership with akenza. By leveraging akenza as its Software-as-a-Service (SaaS) IoT backbone, Technis enhances the scalability, reliability, and speed of its solutions while maintaining focus on delivering actionable insights to its customers.
The Technis Spaces platform aggregates and analyzes data from a wide range of sensors to optimize physical spaces in buildings, retail environments, and other commercial settings. To support its rapid growth and diverse hardware ecosystem, Technis needed a unified solution for IoT device management and data aggregation.
Migrating to the akenza platform allows Technis to manage and provision thousands of devices from multiple vendors, including Xovis people-counting sensors, through a single interface. This scalable infrastructure ensures that Technis can support a growing customer base and rapidly increasing data volumes without infrastructure bottlenecks.
"Partnering with akenza allows us to focus entirely on creating innovative analytics and smart space applications for our clients, rather than managing complex IoT infrastructure," said Wiktor Bourée, CEO of Technis. "This partnership is a critical step in supporting our international growth and delivering high-performance, data-driven solutions."
“We are proud to enable innovators like Technis to move faster and scale globally,” said Jonas Schmid, Co-CEO of akenza. “This partnership, built on the shared values of two Swiss companies, validates akenza's mission to simplify IoT. By handling the challenging middleware layer, we empower Technis to focus on what they do best, solidifying their position as a market leader in smart space data analytics.”
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