Enables Real-Time, Scalable Decision-Making for Critical Infrastructure Projects
At the Mobile World Congress Barcelona 2026, Render Networks, a recognized leader in critical infrastructure execution and intelligence software, unveiled ClearWay, a revolutionary agentic AI architecture designed to redefine how large-scale infrastructure projects are executed. ClearWay represents a significant evolution in Render’s platform capabilities, offering dynamic, scalable execution that empowers infrastructure operators, utilities, and construction teams to deploy complex projects with unprecedented precision, speed, and accountability. The announcement highlights Render Networks’ continued commitment to transforming infrastructure deployment through cutting-edge technology and intelligent automation.
As global investment in infrastructure accelerates across sectors such as fiber broadband, electric grid modernization, distributed energy systems, and AI-driven data center expansions, organizations are facing increasing pressure to maintain capital discipline. In this environment, traditional methods of managing infrastructure—reliant on manual data analysis, fragmented workflows, and human-dependent decision-making—introduce variability and risk that directly translate into financial exposure. Inaccurate field reporting, delayed approvals, and insufficient audit records can significantly slow project execution, increase rework, and erode the financial efficiency of capital-intensive projects. ClearWay addresses these challenges by bringing automated, agent-driven intelligence into the heart of infrastructure operations, ensuring that capital deployment aligns with operational reality.
Render Networks has steadily expanded its footprint as the system of execution for critical infrastructure. Its platform transforms static design data into live, actionable scopes of work, providing a continuous, real-time view of field activity. By capturing verified progress on the ground and reconciling workflows against financial and operational benchmarks, Render enables infrastructure teams to maintain both operational and financial integrity. These capabilities ensure that every action in the field is traceable, accountable, and auditable, producing defensible as-built records that flow seamlessly into operational systems. Originally focused on telecommunications deployment, Render has extended its platform to support electric utilities and multi-utility environments, where accuracy in construction is directly tied to operational reliability and service quality.
ClearWay is the next evolution of Render’s platform, advancing beyond the scope of conventional AI tools. Unlike isolated or feature-specific AI modules, ClearWay is built as a federated system of specialized agents capable of operating autonomously within clearly defined identity, policy, and audit controls. This agentic architecture enables a coordinated approach to automation where governance, accountability, and regulatory compliance remain non-negotiable. Each ClearWay agent is assigned a specific level of autonomy, with controlled access rights and clearly defined responsibilities, ensuring that automation enhances human decision-making rather than replacing it.
The design of ClearWay allows the platform to scale intelligently. As new agents are added, the system supports higher levels of operational autonomy while remaining bounded by deterministic guardrails defined by user policies. This approach ensures that decision-making is both rapid and auditable, providing infrastructure teams with confidence that every automated action adheres to established operational standards. By creating a system where agents operate under policy-driven controls, ClearWay reduces variance in field execution, accelerates project timelines, and safeguards financial and operational accountability at every step.
The initial release of ClearWay, scheduled for Spring 2026, introduces two key agent capabilities designed to enhance field execution in telecom and electric utility projects:
- The Assurance Agent – This agent validates field-captured evidence against the planned work in real time, ensuring accuracy before crews leave a site. By automatically comparing work performed to design specifications and project requirements, the Assurance Agent helps prevent errors and rework, enabling teams to maintain tight schedules and high quality standards.
- The Approval Agent – Operating autonomously, this agent approves completed work based on a correlation of factors including work type, planned versus actual units, photographic evidence, and test results. The Approval Agent handles standard approvals independently and escalates only exceptions requiring human review. This automated approval process reduces bottlenecks, accelerates cash flow, and ensures that completed work is defensible from both operational and financial perspectives.
Together, these agents allow infrastructure teams to move from reactive execution to predictive, reliable outcomes. By verifying work at the point of execution and ensuring approvals are properly processed, ClearWay reduces construction rework, shortens project closeout timelines, and enhances working capital velocity. In broadband and grid modernization projects, where construction accuracy directly affects serviceability, network reliability, and regulatory compliance, these capabilities provide a clear competitive advantage.
“ClearWay builds directly on our role as the system of execution for critical infrastructure,” said Stephen Rose, CEO of Render Networks. “We have always focused on ensuring that work in the field becomes verified operational truth. The next step is ensuring that truth drives disciplined, governed, and rapid action across the lifecycle. As capital efficiency becomes central to telecom and electric infrastructure, automation must ensure rapid decisions are made well to reinforce control and accountability. ClearWay is designed to do exactly that.”
ClearWay is intended to operate in tandem with ClearSight, Render’s business intelligence and advanced analytics layer. Together, these platforms offer a holistic approach to infrastructure management: ClearWay provides agentic, real-time execution, while ClearSight offers portfolio-level insights to optimize capital allocation, assess risk, and guide strategic decisions. By combining these capabilities, Render empowers organizations to execute projects more predictably, scale operations efficiently, and maximize the return on infrastructure investment.
Looking ahead, Render plans to expand ClearWay with additional specialized agents, covering areas such as:
- Lifecycle Management and Financial Reconciliation – Automating oversight of project budgets, invoicing, and financial closeout.
- Service Activation and Operational Monitoring – Ensuring that infrastructure is not only built correctly but operationally validated.
- Predictive Maintenance and Sustainability Governance – Using AI to anticipate maintenance needs, optimize operational performance, and support sustainability goals.
These agents will function as a coordinated autonomous system, continuously aligning field activity, financial performance, and operational readiness under a unified, auditable framework. By integrating specialized agents into a single platform, Render ensures that execution, compliance, and financial oversight operate seamlessly, reducing risk while accelerating project timelines.
Founded as a field-first technology company, Render Networks has consistently prioritized operational accuracy and financial integrity. Its platform transforms design data into live, executable work scopes, captures verified field progress, reconciles work against contractual and closeout criteria, and produces audit-grade as-built records. The result is faster time to revenue, improved margins, and operational certainty—key attributes for operators, owners, and capital partners managing high-value infrastructure projects. With the introduction of ClearWay, Render Networks continues to set a new standard for capital-efficient, verifiable infrastructure deployment, enabling organizations to navigate increasingly complex project landscapes with confidence and precision.
