Twinly & Polku: Property Management IoT-Based Analytics Services
Geniusee's profound proficiency in IoT development positioned us as the ideal partner for a Finland real estate service development company. Collaboratively, we crafted an integrated platform using IoT solutions, encompassing diverse functionalities across various domains of property management. Additionally, we undertook the task of overhauling the pre-existing app system.
This innovative approach empowers building owners, property managers, users, and pertinent stakeholders to harness the advantages of generating digital twins. These digital twins facilitate seamless data exchange among buildings, predictive facility management, and all-encompassing building oversight.
Key challenges:
Maintain operational continuity while elevating system intricacy through the incorporation of robust and resource-intensive functionalities.
Handle substantial volumes of real-time data originating from intelligent devices situated across numerous properties.
Enhance the efficiency of each inquiry by navigating a comprehensive database.
Conduct triple validations for every solution, including those already established, alongside their integration with the central system.
Ensure the efficiency and agility of three distinct databases.
Tech stack:
Frontend: Express
Backend: Express, MongoDB, Node.js, Python
Infrastructure: Docker, GitLab
Results:
An enduring alliance and cooperative effort resulting in data-centric IoT solutions for the real estate sector.
Revolutionizing property management through digitalization, transforming the architectural panorama.
Implementing a 3D model rendering and visualization system for holistic lifecycle oversight of built environments.
Leveraging IoT solutions for numerous system integrations that amplify service provision.
Developing robust digital twins that enhance accessibility and comprehension of the building realm.
Harnessed analysis system based on real-time data incomes, quality check-ups, AI-based solutions, and direct communication with databases.