VertiGIS has announced the next phase of VertiGIS Neo, its cloud-centric, web-based, mobile-ready AI-enabled suite of solutions. Neo operationalises AI across live geospatial workflows, empowering utilities, fibre and infrastructure operators to move from static mapping to real-time decision-making.
At the heart of Neo’s evolving AI capabilities, VertiGIS empowers teams to provide a faster, more reliable service delivery. It automates complex tasks, lowers barriers to expertise, and simplifies specialist capabilities into everyday tools. This enables customers to address some of the biggest asset management challenges, from asset maintenance and outage response to network planning and field operations.
VertiGIS Neo unifies the solutions portfolio, including VertiGIS Networks, VertiGIS Studio, VertiGIS ConnectMaster and VertiGIS FM, under a cohesive architecture designed for cloud, web and mobile-first delivery. It connects applications, data and workflows into a single, intelligent system.
By turning spatial data into operational insight, it enables organisations to forecast demand, optimise infrastructure placement and balance network loads, supporting smarter expansion and more sustainable operations. Neo incorporates advanced location master data management (LMDM) capabilities to help organisations create, validate and maintain high-quality spatial data cross their networks.
“Organisations managing complex networks need more than isolated tools; they need a platform that connects data, people, and processes across the entire asset lifecycle. VertiGIS Neo delivers this as a unified, AI-enabled platform, transforming how organisations turn geospatial data into faster, smarter, and more resilient operations,” said Drew Millen, Chief Technology Officer at VertiGIS.
With VertiGIS’ recent acquisition of 1Spatial, Neo has narrowed the gap between the robust geospatial data foundation and operational decision-making. By strengthening the link between AI and data quality, AI tools are more effective, scalable and deployable.
“This reinforces our long-term differentiation through trusted geospatial data, strong governance, and AI readiness, and positions VertiGIS as the partner of choice for organisations operating in regulated, data-intensive environments,” adds Millen.
Integrating with core enterprise systems in broader geospatial environments, VertiGIS Neo directly addresses some of the issues that constrain the effectiveness of AI solutions – including data fragmentation; weak governance frameworks; and poor data quality. By delivering a connected intelligence layer, where data moves in real-time across systems, teams and environments, VertiGIS Neo removes the lag between data capture and decision-making, allowing AI to be scaled in complex infrastructure environments.
This enables customers to turn governed data into actionable intelligence. It empowers organisations to move from reactive workflows to predictive, insight-driven operations.
(Picture: VertiGIS)
