Intelligence that keeps the world running.
AI-powered asset intelligence for energy and critical infrastructure
Flexible solutions for every stage of your asset inspections
Oil and gas sites, power lines, buildings, wind turbines, solar plants - the assets differ, but the question is the same: what needs attention first?
Capture data with your team, ours, or a combination of both. Zeitview transforms it into prioritized asset intelligence, giving your team a clear view of where to focus and what action to take next.
Industries We Serve
Oil & Gas
High-frequency aerial methane detection and asset intelligence for upstream and midstream oil & gas operators.

Utilities
Asset inspection, anomaly detection, and infrastructure monitoring solutions for energy transmission and distribution companies.

Wind
Safer, faster, turnkey aerial and robotic inspection solutions and management workflows for wind energy O&M.

Solar
Holistic data collection, visual analytics, and lifecycle management for solar asset owners.

Properties
Detailed inspections & actionable insights on Roof, Pavement, Facade, and Landscaping for property inspection and facility management. On-demand drone imagery and video to enhance CRE marketing.



The latest from Zeitview
From Roof Inspections to Repair Budgets: Connecting Condition Data to Smarter Maintenance Decisions
Learn how roof inspection data, condition scoring, and repair cost estimates help facility managers prioritize maintenance, optimize budgets, and extend asset life.

Bureau Veritas Case Study
A look at how Bureau Veritas modernized property assessments with drone-based inspections.

Wind Turbine Crack Detection: A Look at Zeitview's Award-Winning Research
Award-winning Zeitview AI improves wind turbine inspections by detecting barely visible blade cracks earlier, reducing failure risk, and enabling more reliable, scalable wind operations.

Frequently Asked Questions
Zeitview is an asset intelligence company for energy and critical infrastructure. It combines aerial and robotic data collection, AI-powered analysis, expert review, standardized reporting, and portfolio monitoring to help teams understand asset condition, prioritize issues, and decide what needs attention first.
Asset intelligence is structured information about an asset’s location, condition, severity, and inspection history that teams can use to make maintenance and operational decisions. Zeitview turns raw inspection data into prioritized findings, mapped evidence, and portfolio-level visibility so teams can focus on the assets and issues that matter most.
Zeitview uses flexible data collection methods based on the asset and environment, including drones, fixed-wing aircraft, robotic crawlers, and specialized cameras. Sensors can capture RGB imagery, thermal data, LiDAR, methane measurements, and other inspection data geotagged to the relevant asset or component.
Zeitview uses AI models to scan inspection data and flag anomalies or performance risks. Domain experts then review and validate the findings before they are delivered, adding context so teams receive confirmed, decision-ready information rather than an unfiltered set of automated detections.
Zeitview supports asset inspection and monitoring across oil and gas, electric utilities, wind energy, solar energy, and commercial properties. The inspection method and analysis vary by asset type, but the goal is consistent: create a clearer view of asset condition and help teams prioritize maintenance, risk, and capital decisions.
Yes. Zeitview supports both managed data collection and bring-your-own-data workflows. Organizations can use Zeitview pilots and technicians, capture data with their own teams, or combine both approaches while centralizing inspection results and analysis in a consistent workflow.
Yes. Zeitview can deliver findings in standardized reports and support workflows that connect inspection results with systems such as GIS, enterprise asset management (EAM), and ERP platforms. This helps move inspection data into the systems teams already use for maintenance planning, asset management, and operational follow-through.
Asset intelligence gives teams a more consistent view of asset condition, issue severity, location, and change over time. That information supports preventive and risk-based maintenance by helping teams address higher-priority conditions earlier, while providing condition data that can contribute to broader predictive maintenance and asset lifecycle programs.