Asseti

Asset condition information from site imagery

Asseti combines a visual asset register, AI-assisted condition assessment and maintenance planning for industrial assets and infrastructure. It arranges drone capture to create high-resolution imagery and 2D or 3D representations, then connects the visible components with condition information. Facility managers, asset managers and reliability teams can use this shared record across a portfolio of sites.

The product is particularly relevant when site information is scattered across photographs, spreadsheets and inspection reports. Its register records components and details such as quantities, materials, measurements and estimated condition or end of life. This gives maintenance discussions a common reference rather than relying on a photograph whose location or capture date is unclear.

Reviewed assessments and maintenance actions

The product overview describes AI-generated component schedules and potential issues, including damage and deflection analysis. Asseti says trained specialists review the assessment. Risk categorization, repair estimates and degradation tracking support decisions about which issues deserve further investigation or work.

The action workflow connects those observations with a repair pipeline, budgeting and annual capital works planning. Teams can prioritize issues, communicate within the platform and provide contractors with view-only links to selected sites or issues. Dashboards and exportable condition reports show portfolio trends and the repair pipeline. Documented API connections cover ERP, EAM and CMMS systems; the required integration should be scoped for the customer's environment.

A portfolio maintenance workflow

For a group of industrial roofs, begin by agreeing the site boundaries, asset identifiers and capture schedule. After imagery is processed and assessments are reviewed, have the responsible maintenance engineer examine the flagged areas and identify any additional inspection needed. Prioritize the work using operational importance alongside the reported condition.

Share the relevant visual record with a contractor, obtain a scoped quotation and track the repair through the maintenance process. A later capture can provide evidence of visible changes. Keep the original observation, the engineering decision and the completed work distinguishable, particularly when a maintenance system remains the authoritative work-order record.

Capture cadence and assessment limitations

Asseti describes recapturing models annually or as frequently as needed. Its visual record therefore reflects a capture date; it should not be read as continuous observation of every asset. A recently completed repair or newly developing issue may require an updated capture or an on-site check.

Imagery also depends on access, coverage and what is visible. Hidden deterioration and conditions inside equipment may require other inspection methods. Treat an AI flag as assessment evidence for review and a repair estimate as planning information to compare with the actual job scope. The platform does not remove the team's responsibility for engineering judgments, safe access or maintenance authorization.

Pricing and implementation access

Asseti offers a demo and quote route. Its FAQ explains that pricing depends on the square meterage captured and processed and how frequently information is updated; it does not give a universal numeric rate. Discuss capture coverage, recapture frequency, specialist review, contractor access and system connections when defining the proposed service.