Driving safety and efficiency for engineers
Through its revolutionary application of artificial intelligence and machine learning, FYLD helps civil engineers minimise their environmental impact, while keeping them safe on site.
For Civil Engineers
Instant data capture
FYLD automatically converts video, photo, audio and text into video risk assessments, eliminating time-consuming paperwork and ensuring nothing is completed from memory, which can compromise safety.
A simple, yet effective four step process
- Greater efficiency
- Track progress
- Smooth handovers
- Historical job insights
01
Greater efficiency
Rather than waiting for a manager to visit a site, engineers can share site conditions in real-time. Managers can then review remotely, sign off risk assessments and suggest any controls, so work can commence without delay.
02
Track progress
Rather than waiting for a manager to visit a site, engineers can share site conditions in real-time. Managers can then review remotely, sign off risk assessments and suggest any controls, so work can commence without delay.
03
Smooth handovers
Rather than waiting for a manager to visit a site, engineers can share site conditions in real-time. Managers can then review remotely, sign off risk assessments and suggest any controls, so work can commence without delay.
04
Historical job insights
Rather than waiting for a manager to visit a site, engineers can share site conditions in real-time. Managers can then review remotely, sign off risk assessments and suggest any controls, so work can commence without delay.
Expert insights from our team to yours
Case Study | January 29 2025
Case study: How Southern Water reduced pollution incidents by 34% with FYLD
Blog | January 27 2025
Why fear AI when it could make us more human?
Blog | January 23 2025
Bridging the gap in local roads funding with technology-driven efficiency
News | January 23 2025
FYLD named #14 among UK's top 100 startups for 2025
Blog | January 20 2025
Fast-tracking solar installations with FYLD in Australia
Blog | January 17 2025
The future of highways: AI’s role in transforming infrastructure
Welcome to the future of fieldwork execution
