Brightly adds AI tools for asset management systems

Brightly Software has launched new data and artificial intelligence tools for asset management, adding integrations and workflow features across its Asset Essentials and Data Share products.

The update targets organisations dealing with fragmented asset data, ageing infrastructure, and pressure on staffing and budgets. New features include optical character recognition for data capture, broader system integrations, and AI tools for maintenance teams using Asset Essentials.

Data capture

Part of the rollout focuses on improving the collection of structured data. Brightly, which is owned by Siemens, is using Asset Essentials Dynamic Data and OCR to reduce manual entry and move teams toward real-time capture of asset information.

Another element centres on linking systems that often operate separately. Through Brightly Data Share, customers can connect operational and enterprise platforms to create a single view of asset information across departments.

Its existing integration network includes Esri, Microsoft Dynamics, and Arbiter Sports. Those links are intended to reduce isolated data sets and make reporting and operational tracking easier.

AI workflows

For maintenance teams, Brightly has added AI functions directly into Asset Essentials. These include work order auto-summarisation, duplicate detection, and a tool called Brightly Maintenance Copilot for field teams.

The company positioned the launch as part of a broader effort to help customers turn raw operational data into information that supports maintenance, planning, and investment decisions. Weak data quality and gaps between systems remain major barriers for organisations trying to use analytics or AI in day-to-day operations.

Survey findings cited by Brightly suggest those issues are becoming more pressing as companies and public sector bodies test newer digital tools. In its 2026 Asset Lifecycle Report, 56% of respondents said they are integrating AI into workflows in some form, while 55% said they use digital mapping or digital twins to monitor asset health and failures.

Those technologies are increasingly used to track asset performance, assess risk, and understand lifecycle costs. Better underlying data is needed if they are to produce reliable results for maintenance and capital planning teams.

Customer examples

Brightly pointed to Ciocca Automotive as a user of Dynamic Data. According to the company, the customer uses the tool to manage heating, ventilation, and air conditioning data and support decisions on repairs and replacements based on age and repair history.

MSI Express was highlighted as a customer using Data Share. The business uses the integration product to automate data retrieval and connect information with other systems for reporting and tracking, according to Brightly.

The broader asset management software market has drawn increasing attention as operators of buildings, facilities, and infrastructure look for ways to manage maintenance backlogs and control spending. Vendors have sought to position AI tools as a way to reduce administrative work for technicians and improve visibility for managers, although source data quality remains a common constraint.

Industry pressure

Brightly said its latest update is designed to address that problem at several stages, from data capture to integration and field execution. The company serves more than 12,000 clients worldwide and focuses on software for managing the lifecycle of assets, facilities, and infrastructure.

Nigel Hughes, said the new products are built around the need for more reliable information inside asset management systems.

"Quality, enriched data is at the core of an effective AI strategy. Organisations need solutions that make it easier to capture high-quality data, streamline integration, empower analytics and enable teams to act with greater effectiveness and efficiency," said Hughes.

He also linked the launch to Brightly's position within Siemens.

"As part of Siemens Smart Infrastructure, we're uniquely positioned to connect assets, teams and systems to offer continuous data collection, enrichment, integration and automated action to help organizations capture and drive direct business value," added Hughes.