Problem addressed

The specific challenge SkenarioLabs aim to solve is the lack of data-driven insights in the sustainable real estate sector, which makes it difficult for property professionals to make informed decisions that balance environmental impact with commercial considerations. The platform helps to bridge this gap by providing a user-friendly interface that integrates multiple data sources and presents the information in a clear and actionable way. By doing so, SkenarioLabs enables clients to reduce the environmental impact of their buildings, enhance their social value, and create healthier, more sustainable spaces for people to live and work.

Overview of start-up

SkenarioLabs specialises in providing data-driven solutions to support the sustainable real estate sector. Its flagship product, the Skenario platform, enables property professionals to assess the environmental and social impact of their buildings and make informed decisions about retrofitting, refurbishment, and development. By using a range of data sources, including energy performance certificates, environmental data, and user feedback, the platform provides users with a holistic view of the sustainability of their buildings, identifying areas for improvement and quantifying the potential impact of various interventions.

SkenarioLabs is a data analytics company specialising in both residential and non-residential buildings, with a focus on utilising big data and machine learning to better understand the built environment. The unique ability to build models of every building in a portfolio, city or region, allows for a comprehensive understanding of building composition and performance, providing partners with the tools to make informed decisions. This includes the development of energy and carbon footprint reducing retrofit activities, which are becoming increasingly important as the world moves towards a more sustainable future.

Headquartered in both Helsinki and London, SkenarioLabs is committed to making property portfolios more efficient and resilient in the face of changing climate, without losing sight of the financial bottom line. By utilising its risk and value assessment platform, SkenarioLabs is able to help partners make more responsible decisions at a city-scale.

SkenarioLabs is able to create virtual representations of building portfolios, even in data-poor environments, through its analysis engine which models changes to building components such as windows, roofs, and heating systems to assess the impact on energy usage, carbon intensity, and value. This allows clients to make more informed, sustainable decisions regarding their assets and investment portfolios. With a focus on innovative solutions to complex problems, SkenarioLabs is committed to helping clients achieve their goals while also contributing to a more sustainable future.

What makes the start-up innovative

SkenarioLabs’ product is innovative in that it leverages the latest advancements in artificial intelligence and machine learning to provide accurate and reliable predictions of energy usage, carbon emissions, and energy efficiency measures. Its cloud-based software platform enables users to model and simulate different scenarios for energy consumption and carbon emissions across a wide range of asset classes, including commercial buildings, residential buildings, and industrial facilities.

While other providers focus narrowly on non-dynamic factors such as Energy Performance Certificate (EPC) scores, which do not reflect the actual energy usage of a building, SkenarioLabs consider buildings as technical structures and create a dynamic model to estimate the energy demand, CO2 emissions and the respective saving potentials for heterogeneous urban areas. The solution can account for all asset classes, including semi-detached and detached houses, bungalows, flats, schools, offices, as well as commercial and industrial buildings.

One of the key features that sets SkenarioLabs’ product apart is its ability to perform these simulations without the need for extensive data gathering or on-site visits. Instead, its software can analyse public data sources and combine them with proprietary datasets, algorithms and machine learning models to generate highly accurate predictions of energy usage and emissions. This not only saves time and resources, but it also allows for more comprehensive analysis of a wider range of assets.

Another innovative aspect of SkenarioLabs’ product is its ability to provide customised energy efficiency recommendations tailored to the specific characteristics of each property. By taking into account factors such as building design, location, and occupancy patterns, its software can suggest the most effective energy-saving measures for each individual asset. This personalised approach ensures that clients can achieve optimal energy efficiency and reduce their carbon footprint in the most cost-effective manner possible.

Overall, SkenarioLabs’ product represents a unique and innovative solution for businesses and organisations seeking to achieve their sustainability goals. By leveraging cutting-edge technology and a data-driven approach, it empowers clients to make more informed decisions about energy usage and carbon emissions, leading to a more sustainable and resilient future.

How the start-up has been designed to scale-up quickly

As a B2B SaaS model data analytics company, SkenarioLabs has been designed with scalability in mind from the very beginning. Its product uses machine learning algorithms to analyse and predict the future of sustainable real estate, allowing it to quickly scale its services to meet the needs of a growing market in which consultancy is the predominant business model. SkenarioLabs’ technology is built to process large, city-scale data quickly and efficiently, making it easy to expand its offerings and serve a larger customer base. SkenarioLabs has experience working in thirteen different countries, meaning it is also well-versed in the process of localisation, allowing it to carry this out quickly and efficiently to any new markets.

Additionally, the team is experienced in building and deploying software solutions that can quickly scale to meet growing demand. SkenarioLabs is continually improving its processes and infrastructure to ensure that the product and services can be quickly and easily scaled as needed, ensuring that the company can respond to customer needs and market opportunities in a timely and effective manner. SkenarioLabs has implemented agile development practices, allowing it to respond quickly to customer feedback and rapidly iterate on the product. This approach also enables SkenarioLabs to easily add new features and functionalities, ensuring that the product remains relevant and valuable to the users.

Overall, its focus on scalability, automation, adaptability, and agility ensures that SkenarioLabs’ product is designed to quickly and efficiently scale up to meet the needs of its growing user base.