FYLD raises £32M to expand AI workplace safety platform

London-based startup FYLD has secured approximately £32 million in a Series B funding round led by Energy Impact Partners, with participation from Partech. The capital will be used to scale its AI-powered workplace safety platform, strengthen operations in the U.S., and enhance tools that allow companies to monitor field work in real time. The investment highlights growing confidence in technology solutions that improve worker safety while boosting operational efficiency.

The platform uses short video recordings from frontline workers to detect potential hazards, compliance issues, and workflow bottlenecks. By converting this data into actionable insights, managers can respond to risks proactively rather than reactively, improving both safety outcomes and project timelines.

Fyld’s series B funding to scale AI workplace safety platform

FYLD plans to allocate the new funding to several strategic initiatives, including expanding its customer base in high-risk sectors like construction, energy, and infrastructure. The company will also invest in further AI development to enhance its predictive safety and operational intelligence features.

This Series B round strengthens the startup’s position in international markets. With the U.S. representing a growing portion of its revenue, FYLD aims to establish a strong foothold across distributed workforces where monitoring safety and operational quality is challenging. Investors emphasized the company’s potential to transform frontline management and its measurable impact on workplace safety metrics.

Analysts note that funding rounds of this size not only provide capital for growth but also signal market confidence in AI-driven operational platforms. The involvement of strategic investors such as Energy Impact Partners and Partech underlines the growing intersection of workplace safety, operational efficiency, and AI adoption.

AI workplace safety and industry context

FYLD’s approach reflects a broader trend toward digitizing field operations. Traditional methods rely heavily on manual reporting and periodic inspections, leaving organizations vulnerable to accidents and delays. AI-driven platforms like FYLD allow companies to capture and analyze frontline activity in near real time, improving risk management and operational oversight.

The platform has already been deployed by clients in infrastructure and utility sectors, demonstrating measurable improvements in safety compliance and task completion rates. By providing actionable insights from everyday work activities, the system enables teams to prevent incidents before they occur and respond quickly when issues arise.

Investments in AI workplace safety are increasingly viewed as essential for organizations facing complex field operations. As companies scale and adopt distributed workforces, tools that combine live monitoring with predictive analysis become critical for both efficiency and employee well-being.

Background on FYLD

Founded in 2020 in London, FYLD was created to address the persistent challenges of frontline operations in high-risk industries. Its solution integrates video capture, AI analysis, and workflow intelligence to deliver actionable safety and operational insights.

The Series B funding follows earlier rounds that allowed FYLD to refine its platform and expand across Europe. The company has emphasized rapid deployment and measurable outcomes, contrasting with longer, more rigid implementations typical of legacy systems. This approach has positioned FYLD as a leader in the emerging market of AI-driven workplace safety platforms.

FYLD’s £32 million Series B round, led by Energy Impact Partners and supported by Partech, reinforces the market’s confidence in AI workplace safety solutions. With this funding, the startup is set to expand internationally, improve operational insights, and enhance frontline safety for high-risk industries.

As the demand for smarter, real-time management tools grows, FYLD’s technology is positioned to play a pivotal role in transforming how organizations monitor field operations and protect employees while maintaining efficiency