Miter Raises $40M Series B to Replace Construction’s ‘Frankenstack’ with an AI-Native Operating System

Miter has raised a $40 million Series B to accelerate its attempt to replace one of construction’s most stubborn problems: the patchwork of aging software, spreadsheets, paper forms, and disconnected point solutions used to run contractors’ workforces and projects.

The round was led by Battery Ventures, with participation from existing investors Bessemer Venture Partners and Coatue. It brings the San Francisco company’s total capital raised to $78 million.

Miter enters its next phase with meaningful traction. The company says more than 2,000 contractors now use its platform, its customer count has tripled since its Series A was announced in May 2025, and roughly two percent of U.S. construction workers are paid through its system. Customers include major design-build firm Clayco and infrastructure-services provider Haugland Group.

Those numbers make the financing more than a bet on digitization. They suggest that AI is moving into the operational core of construction—the payroll, compliance, job-costing, safety, expense, and field workflows that determine whether a contractor can scale profitably.

One System for the Field and the Back Office

Miter describes its product as an AI-native operating system for contractors. The platform combines payroll and HR with field operations, expense management, workforce coordination, and job-cost visibility. That breadth matters in construction, where one crew can generate overlapping payroll, tax, safety, labor-law, and project-accounting requirements.

Traditional business software was rarely designed around that complexity. Crews move between jobsites and sometimes across state lines. Public projects can require prevailing-wage calculations and certified payroll. Costs must be assigned to specific projects and cost codes. Safety records, breaks, overtime, union rules, and tax obligations may all change with the work.

The result is the technology “Frankenstack” that Miter wants to dismantle. Instead of forcing data through separate systems, the company is building one operating layer that can understand construction-specific workflows and keep information synchronized while a job is still active.

This approach reflects a broader shift toward construction AI built around the industry’s own documents, field conditions, and operational constraints. General-purpose automation can help with isolated tasks, but contractors gain more value when intelligence is embedded in the systems where labor, costs, compliance, and execution meet.

AI That Turns Unstructured Job Data into Action

In the back office, Miter’s AI extracts and structures information from invoices, receipts, and pay-rate tables. It can automate administrative workflows that were previously handled manually and surface labor and job-cost trends before a project closes, when teams still have time to act.

On the jobsite, the platform can turn photos and voice notes into safety reports and summarize project activity using signals from across the system. The goal is not simply to add a chatbot to existing software. It is to reduce the delay between what happens in the field and what operations, finance, and safety teams know about it.

That distinction is important. Construction produces enormous amounts of operational data, but much of it arrives as images, spoken updates, receipts, forms, and fragmented records. AI can make that information usable only if it understands the context around a crew, project, cost code, or compliance requirement.

Miter plans to use the new capital to expand these AI capabilities, grow its engineering teams in San Francisco and New York, and add to its go-to-market organization across the United States.

A Platform Bet on the Infrastructure Boom

Miter was co-founded by CEO Connor Watumull and Tobin Paxton. The company is positioning itself at the intersection of two powerful trends: a wave of data-center, energy, housing, and infrastructure construction, and an industry-wide push to operate with fewer administrative bottlenecks.

For investors, the opportunity is large but demanding. Construction workflows vary across trades, project types, jurisdictions, and labor structures. Software must be accurate enough for payroll and compliance, flexible enough for complex field operations, and simple enough for teams that cannot pause work to maintain another system.

Miter’s advantage will depend on whether it can turn its growing operational footprint into better automation without sacrificing trust. Payroll errors, incorrect job costs, or incomplete safety records carry real consequences. The platform must therefore pair speed with transparent controls, reliable data, and accountable human review.

The $40 million Series B gives Miter the resources to pursue that platform ambition. If the company succeeds, its impact will not be measured by how many AI features it ships, but by whether contractors can finally replace their fragmented back-office and jobsite stack with one system that helps them build faster, control costs, and keep crews productive.