Support Technology Group
Innovation Through Technology
Support Technology Group is a technology startup within the fire and security sector, focused on transforming service delivery through the integration of artificial intelligence with field engineering. The company’s mission is to reduce system downtime, improve diagnostic accuracy, and significantly increase First Time Fix (FTF) and Second Time Fix (STF) rates across the industry.
The fire and security industry is growing due to regulatory requirements, insurance standards, and technological advancements. However, field service and maintenance operations remain heavily manual, leading to inefficiencies and repeated callouts.
At present, the company is currently seeking its first round of funding to bring the product to market after 2 years of initial testing with positive results.
Features that will be included within the upcoming platform
Webapp
An easily accessible web application that engineers can use straight from the supplied phones or tablets to diagnose complicated faults or to confirm the next steps in rectification of a fault.
This application shall be lightweight and will be able to run on any device to ensure accessibility within the industry
Part Recognition & Management
Identification of required parts to rectify issues on site and conformation of compatibility between the part and the affected system with confidence increasing efficiency and preventing parts being returned.
Show alternatives that can be fitted to resolve an issue that are sitting in Van Stock whilst on site negating the need for a second visit.
The automatic ordering and assignment of vehicle stock before depletion will enable engineers to spend more time on the road and with less admin with regards to stock checks.
Job Management Integration
Integration with exisiting Job Management Platforms such as Simpro and CASH to start diagnosing faults before your engineer attends site by prepopulating job cards with various steps and tests required to be carried out to identify. Update job cards once faults have been identified and auto schedule engineers for return visits at the next earliest availability.
Notification on SLA's being missed and dynamic scheduling to ensure they are met including keeping buildings compliant with managing of due dates on PPM activities.
Development Stages
Current - Phase 1: Secure £100,000 of Investor Funding.
Phase 2: AI model development using real-world field data.
Phase 3: Platform build and cloud hosting for secure access.
Phase 4: API development for integration with job management systems.
Phase 5: Pilot testing and iterative refinement.
"Creating an easy implementation of AI into exisiting platforms has helped us grow on exisiting resources and generate more revenue"
Contact us
If you wish to get in touch with ourselves to find out more information, please feel free to contact ourselves using the form below: