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Support Technology Ltd

Innovation Through Technology

Support Technology Ltd is a technology startup within the field service industry, 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 field service 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

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.

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Product name

Job Management Integration

Integration with exisiting Job Management Platforms such as Simpro, Uptick, CAFM 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. 

Cloud Systems Integration

Integration with exisiting management platforms such at CLSS, Nimbus and more to help your engineers diagnose issues faster by letting them know what the fault is exactly and the most likely causes with the power of AI. 

Once the fault has been rectified, pull all your supporting information from your various cloud services into your job management platform with a summary of the actions taken, updated asset information, current system condition for your engineer to review before collecting a signature. 

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Development Stages

Current - Phase 1: Secure Initial 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"
Chris Reid, Director of RS Smart Installs

Contact us

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