FYLD is the AI powered field work execution platform for the infrastructure sector, particularly the utilities sector and heavy civil construction. It enables its customers to drive highly efficient and sustainable operations, in safety focused environments. The FYLD platform enables our customers to have full visibility into what’s happeningacross their daily operations in real time, anticipate how the day may unfold, and led by data intervene to drive those operations safely to completion each and every day. With FYLD's algorithms having visited over 500,000 industrial worksites, FYLD customers deploy data led process redesign, dynamic scheduling and break down operational silos, achieving even higher ROI. FYLD strips away the need for time-consuming and burdensome administration, while equipping field workers and team leaders with the insights they need to make better, data-driven decisions.

Developer of workforce intelligence platform designed to find, recruit and manage the workforce. The company's platform uses big data, deep learning, and audited artificial intelligence techniques to provide predictive intelligence and personalized actionable insights, enabling companies to secure industry-leading candidates, reduce the time and cost of hires and integrate disconnected human resources systems.

Maisa is a system that enhances the performance of AI and large language models by making them more transparent, traceable, and programmable. It offers automation through accountable, self-learning AI agents, called digital workers, that users can instruct via natural language, allowing those agents to navigate company knowledge, access tools orAPIs, and execute steps with clear, auditable logic. At its core lies the Knowledge Processing Unit (KPU), a reasoning kernel that orchestrates multi-step workflows, handles error recovery, and maintains an evident chain of execution. This architecture delivers automation with clarity and process-level traceability, enabling businesses to deploy AI-driven workflows more efficiently and reliably.