SkenarioLabs

SkenarioLabs

Data analytics platform with predictive capabilities crafted to assist financial institutions and real estate experts in decision-making processes.

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DateInvestorsAmountRound
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Total Funding000k

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Revenues, earnings & profits over time
EUR2017201820192020202120222023
Revenues0000000000000000000000000000
% growth268 %2 %(38 %)82 %132 %21 %39 %
EBITDA0000000000000000000000000000
% EBITDA margin35 %5 %(208 %)(10 %)20 %(71 %)-
Profit0000000000000000000000000000
% profit margin19 %(27 %)(316 %)(94 %)(20 %)(110 %)(82 %)
EV0000000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget0000000000000000000000000000

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More about SkenarioLabs
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SkenarioLabs, a Finnish company established in 2015, provides a predictive data analytics platform for the real estate sector. The firm was founded by three engineers, Topi Tiihonen (CEO), Hannu Nikupeteri (CTO), and Timo Valsi (CSO), who aimed to leverage data for better decision-making in the property world. CEO Topi Tiihonen, who holds a master's in civil engineering, previously worked in urban planning and eco-city design, where he recognized the potential to automate assessment processes using available data. This experience directly informed the creation of SkenarioLabs.

The company operates on a Software-as-a-Service (SaaS) business model, serving clients such as financial institutions, asset managers, property owners, and insurance companies. Its platform is engineered to analyze and model technical, financial, and ESG risk metrics for all classes of real estate. SkenarioLabs generates revenue by offering its AI-powered platform to clients for managing property portfolios, enabling them to understand technical risks, predict maintenance needs, and assess effects on property value and rental income. The technology is designed to function even with minimal or incomplete datasets, enriching the data to provide accurate insights.

The core service is an AI-driven platform that provides diagnostics on property portfolios. It offers features like data enrichment, advanced risk analysis for climate and market transitions, and compliance reporting for frameworks like EU Taxonomy and ESG. The system digitizes technical surveys, projects property values, and models scenarios to guide investment and maintenance decisions, helping clients maximize their return on investment. A key differentiator is its ability to quantify the impact of technical risks on a property's fair market value. Headquartered in Espoo, Finland, the company expanded into the UK in 2022 and serves a global client base.

Keywords: predictive analytics, real estate technology, proptech, risk management, asset valuation, ESG reporting, property data, financial modeling, SaaS, climate risk

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