Explore AI for infrastructure inspection and operational workflows, including autonomy research for power-line inspection.
Where this stands: Customer document and identity workflows are available today. Inspection autonomy is research, shown in simulation.
Sample inspectionLine 14, span 207
- Decision: repairConfidence: high
- Reason: cracked insulator disc
Long networks, small teams, and a lot of paperwork.
Power, water and gas networks run across distances no inspection team can cover often enough. Vegetation grows into lines, equipment corrodes and storms leave damage that has to be found before it can be fixed. Most of the imagery collected is never looked at closely.
On the customer side, the work is administrative: new connection applications, changes of occupancy, evidence for social tariffs and hardship support, and identity checks before an account is changed. Much of it still moves by email and attachment.
What energy and utility operators answer to
Critical infrastructure rules
Energy and water operators fall under critical-infrastructure security rules such as the EU's NIS2 directive, and AI used as a safety component in their networks is classed as high-risk under the EU AI Act.
Safe inspection
Inspecting lines and assets is slow and can be dangerous. Any autonomous system near live infrastructure has to be evaluated before it flies.
Account fraud
Changes of name, address or bank details are a route to account takeover and fraudulent claims for support.
Where AI does the work
Research
Autonomous power-line inspection
Zora is being developed for infrastructure inspection: a mission executive that coordinates an inspection flight and responds to what it observes. Demonstrated in simulation only.
Application direction
Decisions on inspection imagery
DecisionNode can classify what an inspection image shows, such as vegetation encroachment or visible damage, and route it to the right maintenance queue.
Uses available products
Customer documents, collected and checked
Connection applications and support claims gather their documents automatically, and submitted bills, statements and proofs of address are examined for tampering.
Uses available products
Verified account changes
Identity verification confirms the person requesting a change of account holder or bank details is who they claim to be.
From an inspection image to a work order
An application direction that shows how a decision engine fits the work. It describes how the pieces could connect, not a running deployment.
Inspection imagery arrives from a patrol, a fixed camera or, in future, an autonomous mission.
DecisionNode classifies each image and returns a typed decision with its confidence: no action, monitor, or repair.
Repair decisions become work orders in the maintenance system; low-confidence images go to an engineer.
Field teams receive prioritized work with the image and the reason attached.
In
- Insulator imageSpan 207
Out
- Decision: repairConfidence: high
- Reason: cracked insulator disc
Questions from energy and utility teams
Is the inspection autonomy available today?
No. Zora's inspection work is research, demonstrated in simulation only. The customer document and identity workflows on this page use offerings that are available today.
Does DecisionNode control field equipment?
No. It returns a typed decision with its confidence, such as no action, monitor or repair. Your maintenance systems and engineers act on it, and low-confidence images go to a person.
Which customer documents can be checked?
Bills, statements and proofs of address submitted with connection applications, support claims and account changes are examined for tampering. Identity verification confirms who is asking to change an account holder or bank details.
Other industries
All industries
Talk to Bynn about your network and your operations.
Tell us where inspection or administration holds your teams back. We will separate what can run today from what is still research.