Problem Addressed

The built environment is responsible for 40% of carbon emissions globally. Considering that 80% of the buildings that will be standing in 2050 are already built, decarbonising existing buildings is the true problem to solve. The specific challenge Mortar IO will solve initially is for landlords and property professionals owning and managing small-to-medium, relatively unsophisticated buildings and/or portfolios of buildings. These customers currently need to work with a consultant to produce initial feasibility studies of decarbonising their building stock, which takes weeks and often racks up large costs. Mortar IO will provide this service in minutes, offering huge time and cost savings for our customers and kick-starting their decarbonisation journey much more quickly.

Overview Of Start-up

Mortar IO is the foundational data infrastructure for decarbonising real estate. They are developing a platform and associated API that provides a virtual model of every building globally, in order to aid the rapid decarbonisation of building stock. Mortar IO utilises a wide source of data sets and physics-informed modelling methodology to develop proprietary algorithms to deliver building intelligence, without relying on building-specific data.

What Makes The Start-up Innovative

Mortar IO employs physics-based modelling to create virtual models of any building, anywhere. They deliver decarbonisation roadmaps, including details of financing for retrofits and associated risks, within minutes rather than the normal month long process. Further, Mortar IO is the only start-up building a foundational API focussed on decarbonising relatively unsophisticated buildings, better connecting the fragmented industry in a novel and innovative way.

How The Start-up Has Been Designed To Scale Up Quickly

Mortar IO is an API-first company and is building the foundational infrastructure needed to scale to many other customers and use cases. For example, they will already have the technical capability to engage and work with finance providers after solving the problems of their initial customer segment (landlords and property professionals), because of the already built API that they can integrate with.