KONE Online
KONE Online
Contact Us
Get to know KONE Purpose and strategy Organization and management Culture History Ethics and compliance Safety and quality Cybersecurity Suppliers

Explore our offering

New elevators and escalators Service Modernization

You might be interested

Major projects KONE Remote Service Predictive maintenance Solutions for greener buildings myKONE
Discover Innovations Innovating together KONE high-rise laboratories KONE Renaissance Ecosystem
Learn about Sustainability Climate People Ethics Sustainability reporting Sustainability recognitions Our sustainability journey

You might be interested

Sustainability for investors Solutions for greener buildings
Read about Careers Open positions What we offer Teams Offices

You might be interested

Culture
Go to Investors KONE as an investment Reports and documents Financials Markets Share and shareholders Investor events Governance Analysts and consensus Contacts

You might be interested

Sustainability for investors
Explore Newsroom Releases Media Stories Social media Events References

Co-innovation areas

Data and AI-driven operations

Establishing data and AI infrastructure for enabling next-generation operations across the building lifecycle

Key challenges to be solved with data and AI

  • How can we scale data and AI technology platforms to reduce manual workflows and enhance process automation in building operations?
  • How can we exchange data with diverse ecosystem partners in a way that ensures high data quality and prevents system-level vulnerabilities?

We are aiming to

Identify the data needed for digital solutions to collect, harmonize, and make the data available as reusable, easy-to-consume data products.

Build the common AI capabilities needed for develop and make them available as reusable, easy-to-consume services.

Identify, design and develop simulation capabilities and applications that support and speed up virtual simulation and use of novel data and AI solutions in advanced simulations.

Key co-research areas

  • Data products and analytical capabilities

    Data products and analytical capabilities

    We look for partners to iteratively design, develop and test the concept of reusable data products through real use cases that serve the diverse data needs of other focus areas of the Renaissance program.

  • AI for future-proofed building operations

    AI for future-proofed building operations

    We are looking for partners making a step-change in data and AI-based predictive operations in building modernization and maintenance. Through collaboration with ecosystem partners, we are experimenting with different GenAI applications, such as generative digital twins and physical AI.

  • Simulation competence development

    Simulation competence development

    We are looking for partners to simulate existing structures and automate the process with enhanced technologies to introduce simulation to building sector. Working with industry partners, we explore digital modelling and automation for more efficient testing and implementation of different simulation technologies.

Together with our partners, we are developing real-life solutions based on the co-research findings. To leverage data and AI to enhance building operations, we are piloting and adopting new solutions for the industrial context.

Key co-innovation areas

Generative AI solution development


We look for partners to explore emerging GenAI technologies to enhance productivity, transform processes and create new solutions and applications in the industrial context. Emphasis is on transforming KONE capabilities with generative AI, empowering people, improving productivity and delivering new value to both customers and end users.

Digital progress monitoring


We partner up to develop automated progress reporting that updates supervisors in real time as tasks are completed.

 

Workforce management on construction sites often relies on manual logging and on-site supervision, so we aim to streamline the modernization process.

Adoption of simulation applications


We partner to explore and industrialise different use cases to iteratively develop the simulation capability and scenario-based models. These include simulation models for e.g. quantifying building equipment lifetimes and acoustic models for evaluating noise.