AI-powered repairs intelligence
RepairSense uses the latest Artificial Intelligence (AI) and Machine Learning (ML) technology to mine, analyse and interpret repairs data. It equips housing providers with actionable insights to increase repairs quality & sustainability, reduce repairs demand and improve tenant satisfaction.
%20(1).jpg?width=1000&height=1500&name=samuel-regan-asante-Mn6hv2vjD_E-unsplash%20(1)%20(1).jpg)
The RepairSense platform uses artificial intelligence and supervised machine learning to analyse your repairs data.
Collect
RepairSense collects data from your existing systems in real-time to enable more agile decision-making and improved performance
Enhance
RepairSense’s AI & machine learning technology uses Natural Language Processing to turn unstructured data into actionable insights
Act
Intuitive dashboards highlight repeat jobs and high-priority properties so action can be targeted where it’s most effective
RepairSense identifies repeat issues using a supervised learning, natural language processing (NLP) model.
RepairSense analyses over 7 million previous repairs jobs, making it the most extensive ‘labelled data set’ for repairs ever built. These labelled examples of repeat repairs enable our advanced AI/ML platform to review previous issues so it can learn, match and predict issues in your own repairs data.
What our clients say
Jonathan Fletcher Director of Pre-Tenancy and Property Services
Trusted by leading housing associations
MEET YOUR CUSTOMER SUCCESS TEAM
Our experts have over 100 years of combined repairs intelligence experience
.webp?height=2000&name=Suzy%20(1).webp)
.webp?height=2000&name=Nat%20(1).webp)
.webp)
Suzy Thomas
Customer Success Director
Prior to Mobysoft Suzy had worked in social housing for over 15 years, including managing repairs and customer service teams.
Suzy's role at Mobysoft is to ensure customers are informed, trained and consistently supported by the Customer Success team. As well as collecting customer feedback to help our Product and Development teams to continuously improve our product and ensure that our customers achieve their return on investment.
.webp)
Natalie Tuer
Head of Product
Natalie has a background in product management at fast-growing tech companies.
Natalie is head of product for RepairSense and is responsible for the product roadmap for the AI platform. Natalie works alongside the development and data science teams to ensure the RepairSense platform is continually iterated and improved from customer feedback.
Jack Pawson
Senior Data Scientist
Jack has been with Mobysoft for around three years and is now Senior Data Scientist, he works closely with product and development teams for RepairSense.
Jack's role focuses on working with the largest dataset in social housing for repairs, and he utilises a wide range of technology including Artificial Intelligence to test models across our dataset and incorporate them into the platform.
Zoe La Brow
Customer Success Manager
Prior to Mobysoft Zoe has worked in social housing for over 20 years and completed further education at HNC and Master’s Degree Level.
Zoe's passion for housing stems from her experiences working at several social landlords in the North West. At Mobysoft Zoe is responsible for ensuring that the RepairSense platform is used effectively by customers to help them reduce maintenance demands and improve customer satisfaction.
