FYLD Leverages AI and Predictive Intelligence to Deepen Infrastructure and Safety Footprint

FYLD – an AI-native frontline intelligence platform for utilities, energy and critical infrastructure – featured prominently in recent updates that underscored its role in Construction Safety Week 2026 and broader safety culture shifts. The company highlighted how structured data and predictive intelligence are helping operators move from reactive to proactive risk management.

CEO and Co-founder Shelley Copsey emphasized that years of systematically collected field data are now being used to anticipate hazards rather than simply record incidents. FYLD’s messaging focuses on making data work for every field worker every day, aligning its roadmap with long-term trends in worker safety, risk reduction and digitalization.

The company reported measurable outcomes from deployments in construction and infrastructure, including recordable incident rates below industry averages. Customers have seen up to a 48% reduction in safety incidents, with AI-powered assessments identifying about 67% of site hazards that might otherwise go undetected before work begins.

FYLD is also advancing remote oversight capabilities, citing a water utility where a single command-center operator monitored 40% of jobs versus 23% coverage by an 11-person travelling inspector team. Three remote operators are projected to provide full coverage, reducing travel costs and enabling redeployment of inspectors to higher-risk work.

At a major U.K. infrastructure operator, FYLD’s platform has reportedly cut review cycles from nearly 30 hours to under six minutes and resolved 98% of job blockers in under five minutes. These efficiencies have helped avoid permit fines and increased remote sign-offs and vehicle compliance checks without adding headcount.

The company’s traction in U.K. water utilities was reinforced by shortlisting for two categories at the Water Industry Awards 2026 alongside partners M Group Water and Yorkshire Water. FYLD also spotlighted execution bottlenecks in the U.K. solar market, arguing that pre-visit intelligence and real-time visibility remain underdigitized.

To expand its addressable market, FYLD is positioning its platform for solar and EV charging projects as well as transport infrastructure. A deployment with the North Carolina Department of Transportation marked the first reported use of its AI by a U.S. state DOT for real-time hazard identification.

Field workers in North Carolina capture short videos that are processed against more than 50TB of proprietary data to automate paperwork and surface safety risks. Supervisors receive a single operational view that consolidates communication and prioritizes field activity, supporting U.S. infrastructure and data center projects.

FYLD is also targeting rail infrastructure growth, with plans to exhibit at UK Rail 2026 in Birmingham and showcase real-time visibility and AI-driven decision support for frontline rail teams. This sector-specific push aims to support first-time-right execution, operational efficiency and safety in a regulated, mission-critical environment.

Across these updates, FYLD’s focus on predictive safety, remote oversight and AI-driven field operations suggests strengthening product validation and expanding use cases in U.K. and U.S. markets. While no financial metrics were disclosed, the week’s developments point to growing engagement in safety-critical sectors and a solidifying competitive position.