CASE STUDY
Finding development opportunities with data
Noste.io is a Finnish real estate development company focused on modernizing traditional operating models in the real estate industry. By combining industry expertise with advanced data and technology, the company aims to create more sustainable, efficient, and forward-looking development processes.
To support its data-driven approach, Noste.io uses CHAOS’ location intelligence platform, which integrates multiple data sources and AI-based urban forecasts. This enables the company to analyze urban development patterns and identify emerging opportunities for real estate projects.
Customer:
Noste
Use Case:
Finding real estate investment opportunities
Industry:
Real estate development
Noste uses CHAOS to rethink traditional real estate development by grounding decisions in data rather than legacy assumptions. With access to urban forecasts and comprehensive location data screening, the team can identify emerging areas, evaluate opportunities earlier, and move faster in finding suitable properties.
This enables Noste to stay ahead of the market, create more sustainable developments, and bring greater clarity to an industry that has historically relied on slow, fragmented processes.
VERDICT
Challenging outdated models with data
THE CHALLENGE
Identifying ares and development opportunities
Real estate development decisions have long-term consequences, making the identification of the right locations a critical factor for project success. However, traditional approaches often rely heavily on manual research, fragmented data sources, and subjective assessments.
For Noste.io, the challenge was to efficiently identify emerging urban areas and potential development sites while staying ahead of market trends. In a competitive market, gaining early insight into future growth areas can create a significant advantage.
The company needed a way to analyze large volumes of location data and urban trends more efficiently in order to support faster, more informed decision-making when evaluating properties and plots.
Urban forecasts are one part of the information used in real estate development. The best thing about CHAOS is the screening of versatile location data. Using CHAOS is a very natural move for us. Now we can have a solid understanding of the industry operating models, and the utilization of data makes things concrete."
Laura Vatanen
CEO of Noste
To strengthen its analytical capabilities, Noste.io integrated CHAOS into its development workflows.
The CHAOS platform combines numerous data sources including location intelligence, demographic insights, and AI-based urban forecasts into a single environment for real estate analysis. This enables Noste.io to screen potential areas and properties more efficiently and understand the future development potential of different locations.
By leveraging CHAOS’ data screening capabilities, Noste.io can evaluate emerging neighborhoods, analyze urban development patterns, and identify promising project sites earlier in the process.
The platform also accelerates internal workflows by reducing the time required to collect and analyze data from multiple sources. This allows the team to focus more on strategic development decisions and project planning.
THE SOLUTION
CHAOS' demographic and location data reveals opportunities
THE RESULT
Faster opportunity identification and a stronger competitive position
With CHAOS integrated into its real estate development process, Noste.io has improved its ability to identify promising locations and development opportunities.
The platform enables Noste.io to:
Identify emerging areas and potential real estate development sites
Screen properties and plots more efficiently
Gain early insight into urban development trends
Accelerate the site identification process
Strengthen its competitive advantage through data-driven decision-making
By combining industry expertise with advanced data insights, Noste.io can make more informed development decisions and create long-term value for its clients while supporting more sustainable urban development.
he utilization of data makes things concrete
