AI is moving deeper into industries where software has traditionally been used to record transactions rather than execute work. XBE, a software platform for heavy materials, logistics and construction, has secured a growth investment from PSG as it expands an AI-driven operating model designed to automate dispatch, logistics and other end-to-end workflows.
XBE has taken a growth investment from PSG, adding fresh capital and software-sector expertise as the company accelerates development of its platform for heavy materials, logistics and construction.
Founder and CEO Sean Devine and existing investor Banneker Partners will retain significant ownership positions, with Devine continuing to run the company.
The transaction comes at a notable point in XBE’s evolution. The company is moving beyond conventional vertical software toward what it calls a “system of action”—a platform intended not just to capture operational data, but to coordinate and increasingly execute the work that happens around it.
That strategy became more visible in 2026 with the launch of Agent XBE, which the company describes as a “superworkforce” capable of taking operational tasks from beginning to end. XBE also introduced All-22, a ready-mix dispatch simulation, optimization and autonomy solution built into its BCMI Dispatch product.
The combination puts XBE into an increasingly competitive category: vertical software that uses AI agents to automate real-world business processes.
Unlike a general-purpose AI assistant, an operational agent needs access to structured business data, rules, workflows and real-time events. In construction and heavy materials, that can mean coordinating orders, dispatching trucks, managing delivery schedules, balancing capacity and responding to changes in the field.
The appeal is straightforward. These industries operate with thin margins, complex physical logistics and a high number of decisions that still depend on phone calls, spreadsheets, dispatchers and disconnected software systems.
XBE’s pitch is that those fragmented processes can be unified through a single operating layer connecting physical, commercial and financial activity.
That matters because construction and materials companies have historically faced a difficult technology environment. Their operations span field crews, suppliers, customers, vehicles, inventory, dispatch operations, project schedules and accounting systems. Software can digitize individual pieces without necessarily connecting the whole workflow.
Deloitte’s 2026 engineering and construction outlook describes the sector as historically conservative in adopting digital technology, while pointing to AI as a potential catalyst for a more digitally enabled and augmented operating model. AI applications could improve cost estimation, risk management, scheduling and decision-making, the firm says.
XBE is targeting that fragmentation at the operational level.
Its acquisition of BCMI expanded the company’s presence in ready-mix concrete dispatch, while the acquisition of Gauge broadened its product footprint. The company’s latest announcement says hundreds of features and enhancements have shipped during 2026, with development shaped by customer usage and feedback.
The PSG investment is intended to accelerate that pace.
For enterprise buyers, however, the interesting question is not simply whether an AI agent can perform a task. It is whether the agent can operate reliably inside a system where errors have physical and financial consequences.
A poorly optimized dispatch decision can mean an empty truck, a missed delivery, idle workers or wasted fuel. In a heavy-materials operation, software autonomy therefore has a direct connection to margins.
That makes XBE’s All-22 product particularly relevant. Simulation and optimization can provide a controlled environment for testing dispatch decisions before they affect live operations. If AI agents are eventually making or recommending those decisions, simulation becomes an important bridge between automation and operational trust.
The broader technology market is moving in this direction.
Gartner predicts that 40% of enterprise applications will incorporate task-specific AI agents by the end of 2026, up from less than 5% in 2025. The firm expects agents to evolve from productivity assistants into systems capable of performing complex, end-to-end tasks.
Gartner has also warned that agentic AI could expose as much as $234 billion of enterprise application software spending to “agentic arbitrage” through 2030. The underlying shift is from software interfaces that users operate toward systems that execute outcomes on their behalf.
XBE’s strategy fits that transition unusually well because its software sits close to physical operations.
A construction company does not necessarily need another dashboard. It needs the right material delivered at the right location, at the right time, with the right equipment and personnel available. The value of an AI agent is therefore measured by operational outcomes rather than the number of features in a software interface.
That also distinguishes XBE from larger horizontal enterprise software providers such as Microsoft, Oracle and SAP. Those companies can provide broad ERP, collaboration and automation capabilities, but vertical specialists can encode industry-specific workflows directly into their products.
The competitive advantage, if it materializes, comes from domain context.
XBE already has relationships with companies operating in heavy materials and construction, giving it access to operational data and workflow knowledge that general-purpose AI platforms lack. The challenge will be turning that specialization into reliable automation without creating a closed ecosystem that is difficult to integrate with existing enterprise systems.
The company’s timing also reflects pressure on the construction industry to improve productivity. McKinsey estimates global construction output was roughly $15 trillion in 2025 and says construction productivity improved by only about 10% between 2000 and 2022, compared with 90% in manufacturing.
That productivity gap is precisely where agentic software could have an economic role.
If an AI system can continuously optimize dispatch, identify bottlenecks, coordinate workflows and respond to changing conditions, the impact can extend beyond administrative efficiency. It can affect asset utilization, fuel consumption, labor requirements, delivery reliability and ultimately project economics.
But adoption will depend on governance as much as automation. Gartner says only 13% of organizations believe they currently have the right governance for AI agents, while warning that agent sprawl can create data-loss, misinformation and control risks.
For XBE customers, that means the next stage of software adoption will likely involve defining which decisions agents can make autonomously, which require approval and how companies can audit those decisions.
PSG’s investment gives XBE more resources to pursue that model. The company says it plans to recruit aggressively, expand product development and build its customer community while preparing to unveil additional products and capabilities at XBE Horizon Live 2026 in San Francisco.
The larger industry question is whether vertical software companies can turn AI agents into dependable operational infrastructure.
XBE is betting that they can—and that in heavy materials and construction, the winning software will not merely tell teams what is happening. It will increasingly help determine what happens next.
Market Landscape
XBE is entering a vertical software market being reshaped by two simultaneous forces: construction companies need higher productivity, while enterprise software vendors are moving from AI assistants toward autonomous workflows.
Deloitte’s 2026 construction research found that AI and machine-learning tools are already used by 46% of surveyed construction businesses, while 50% use construction-management cloud software. Yet only 16% reached an advanced level of overall digital capability, showing the gap between adopting technology and integrating it effectively.
That gap creates an opening for industry-specific platforms.
Horizontal vendors such as Microsoft, Oracle, SAP and Salesforce can provide broad AI and workflow capabilities. Specialist platforms such as XBE can instead concentrate on the operational details of dispatch, materials, logistics and construction.
The differentiator will be execution. AI agents need reliable access to operational data, clear permissions, integration with existing systems and measurable outcomes. In physical industries, an autonomous workflow must also account for real-world constraints that cannot be solved by software alone.
The strongest vertical platforms may therefore become less like traditional SaaS applications and more like operational control layers.
Top Insights
- XBE’s PSG investment accelerates an AI-driven strategy that connects physical operations, commercial workflows and financial processes across heavy materials, logistics and construction.
- Agent XBE represents a shift from AI assistance toward end-to-end operational automation, allowing industry-specific agents to execute work rather than simply surface recommendations.
- All-22 brings simulation, dispatch optimization and autonomy into ready-mix operations, targeting transportation complexity and utilization challenges that directly affect construction margins.
- Construction’s fragmented technology landscape creates an opening for vertical AI platforms, even as Microsoft, Oracle, SAP and other enterprise vendors expand agentic capabilities.
- XBE’s growth reflects a wider move toward outcome-based enterprise software, where AI agents increasingly execute workflows instead of requiring employees to operate multiple software interfaces.
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