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Technis Tech Stack

Space utilization and energy analytics for commercial real estate

IT Services and IT Consulting Lausanne, Vaud 51–200 employees Founded 2016 Privately Held

Technis builds a data platform combining sensor networks with cloud analytics to measure how office spaces are actually used. The stack—Kafka, Spark, Hadoop, PostgreSQL, MongoDB on AWS/GCP/Azure—is purpose-built for real-time occupancy and energy-consumption pipelines. Current hiring momentum (4 roles in 30 days across engineering and sales) and active expansion into German-speaking markets signal growth beyond their Swiss home base.

Tech Stack 13 technologies

Core StackApache Kafka Apache Spark Hadoop PostgreSQL MySQL MongoDB AWS HubSpot Slack GCP Azure SQL Aircall

What Technis Is Building

◆Challenges

Expanding into german-speaking switzerland
New business development
Structuring customer activities
Transition to new platform
Energy consumption inefficiencies
Esg compliance challenges

▲Active Projects

Sales of integrated sensor and saas solutions
New business development in german-speaking switzerland
Transition to new platform for customers
German-speaking switzerland market expansion

Hiring Activity

Accelerating5 roles · 4 in 30d

Department

Engineering

2

Sales

2

Support

1

Seniority

Senior

4

Junior

1

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About Technis

Technis offers an integrated solution of hardware sensors and SaaS analytics to help organizations understand occupancy patterns, energy efficiency, and space utilization. Customers are commercial real estate operators, enterprises managing hybrid workplaces, and facility teams seeking to optimize costs and ESG compliance. Founded in 2016 and headquartered in Lausanne, the company operates with 51–200 employees and is actively hiring senior technical and sales roles in Switzerland and France while pursuing market expansion into German-speaking regions.

HeadquartersLausanne, Vaud

Company Size51–200 employees

Founded2016

Hiring MarketsSwitzerland, France

Frequently Asked Questions

What tech stack does Technis use?

Apache Kafka, Apache Spark, Hadoop, PostgreSQL, MySQL, MongoDB, AWS, GCP, and Azure. The architecture supports real-time sensor data ingestion, processing, and storage at scale.