ClearWay
Agentic AI for critical infrastructure
ClearWay brings agentic AI directly into infrastructure execution, taking on more of the work that still depends on manual processes and scarce human expertise. Specialized agents help teams move from plan to execution, validate work earlier and keep completed work moving toward acceptance, so infrastructure can scale without scaling manual effort with it.
Built for fiber, electric and other critical infrastructure, ClearWay gives AI the context to understand what was designed, what needs to be built, what happened in the field and what should happen next.
Scale your best people, not your review queues
The ClearWay Field Quality Agent analyzes photo evidence captured in the field to determine whether completed work meets quality requirements, helping crews get it right the first time while reducing rework and costly return visits.
Unlike traditional vision systems focused on individual images, ClearWay understands the entire construction task in context: the work type, assets, materials, and construction setting. It then reasons across that context to determine whether the completed task meets the required quality standard.
Introducing the ClearWay Field Quality Agent
The Field Quality Agent validates photo quality, location accuracy, photo recency, and operational context in real time, helping crews capture compliant work evidence right the first time while reducing rework and costly return visits.
Unlike traditional vision systems focused on object detection and confidence scores, ClearWay uses multi-modal AI to evaluate the full operational context of the work being performed and recommend the next best action: approve, disapprove, or review.
Introducing the ClearWay Field Quality Agent
The Field Quality Agent validates photo quality, location accuracy, photo recency, and operational task context in real time, helping crews capture compliant work evidence right the first time while reducing rework and costly return visits.
Unlike traditional vision systems focused on object detection and confidence scores, ClearWay uses multi-modal AI to evaluate the full operational context of the work being performed and recommend the next best action: approve, disapprove, or review.
Eliminate manual review bottlenecks across infrastructure delivery
Infrastructure teams spend countless hours reviewing field evidence, validating task completion, and resolving quality issues after work is already complete.
That time could be spent accelerating delivery, resolving exceptions, improving field operations, and driving more strategic operational decisions instead of repetitive manual review. ClearWay helps operators and builders reduce rework, accelerate approvals, and improve deployment confidence at scale.
Review by exception, not by default
Experienced quality personnel may review every foot of installed plant even though the vast majority of the work they review shows no issue. That means people with years or decades of field expertise spend much of their time searching for the small percentage of work that actually requires their judgment.
ClearWay helps make routine task-level quality determinations so expertise can be focused on exceptions. Quality issues can be surfaced earlier, while crews and equipment are still in the field, and completed work can move toward acceptance without waiting behind unnecessary manual review.
“The ability to validate work earlier, guide crews in real time, and use AI to help reviewers focus only on the exceptions that require human judgment will fundamentally improve how infrastructure projects are delivered.”
NEXT CLEARWAY AGENT
Take the manual work out of getting ready to build
Introducing QuarterMaster. Today, the engineering-to-construction handoff requires teams to interpret design information, establish scope, create tasks, define dependencies and prepare work for field execution. On large programs, that can mean translating engineering intent into thousands of field-level tasks.
QuarterMaster extends ClearWay upstream to help turn engineering designs into configured, blueprinted and ready-to-build work. It interprets engineering inputs in the context of the project and recommends how the work should be orchestrated, allowing teams to review, adjust and blueprint the work within the same session.
EXPANDING AGENTS
A continuously aligned system of execution
The Field Quality Agent is the first release within the ClearWay architecture, combining field intelligence and approval capabilities to improve execution quality at the point of work.
Over time, ClearWay will expand with specialized agents spanning design, construction, operations, and maintenance. Together, these agents continuously transform verified operational truth into intelligent next best action across the infrastructure lifecycle.
Design agent
Transform paper & digital network designs into Render-ready blueprinted work, maps, & executable workflows
Serviceability agent
Automate service-ready updates to provisioning systems & network inventory
Forecasting agent
Continuously reconcile labor, materials, & production progress to forecast timelines, resource needs, & execution outcomes across different courses of action.
As-Built agent
Update systems of record with approved work, validated connectivity, & field-verified network changes
Financial agent
Automate billing, pay apps, production validation, & financial workflows
Operational agent
Detect network risks, anomalies, & preventative maintenance needs, then generate actionable work for field crews
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