AI-driven scheduling and contractor management visualized over an active construction site.
Denver, Colorado, August 20, 2025
Assignar, a cloud-based construction operations platform, secured a $20 million Series B to accelerate North American expansion, double headcount and develop AI/ML-driven features. The funding will support hiring across product, engineering, sales and customer success, boost research and development, and deliver new capabilities including a contractor hub and a schedule recommendation engine that uses data and machine learning. Targeting subcontractors and self-perform general contractors in heavy civil and infrastructure sectors, Assignar aims to improve resource-loaded scheduling, field data capture and real-time visibility across projects while scaling responsibly with the new capital.
The company behind a cloud-based construction operations platform announced a $20 million Series B round, led by a notable investor group, with additional participation from existing and new backers. The funding is earmarked to accelerate growth in North America, scale the team, and advance data-driven features powered by AI and machine learning.
Assignar targets the heavy civil and infrastructure self-perform segment of the construction industry, focusing on general contractors and subcontractors who manage large crews and complex equipment logistics. The funding round also brought on a new board member from the lead investor and added support from an investor with prior participation. The timing aligns with broader talk about U.S. infrastructure investment and the need for digital tools to improve productivity in a historically lagging sector.
Originally founded in 2014 by Sean McCreanor and Marko Tomic, Assignar began in Australia before relocating to Denver, Colorado in 2017. The company maintains operations in Denver and Sydney, with a global reach that includes hundreds of international customers across the United States, Australia, New Zealand and Canada. Its customers work on multibillion-dollar projects spanning infrastructure, road and rail, utilities and other construction disciplines. The platform is designed to scale from small crews to multinational entities, offering tools that address planning, execution and oversight across a range of project sizes.
At the core, the platform helps with scheduling and tracking crews and equipment, while aiming to streamline operations, improve quality and safety, and measure productivity and progress using project data. The product portfolio includes resource-loaded scheduling, field data capture, and timesheets, along with capabilities to manage labor, crew and equipment across sites. Proponents describe it as providing a real-time snapshot of granular field activity and a means to match the best crews and equipment for specific jobs more efficiently.
Ownership and investment details accompany the expansion plan. The Series B was led by Fifth Wall, with a repeat investment from Tola Capital and a new investor in Ironspring Ventures. A partner from the lead investor joined Assignar’s board as part of the round. In the broader investment landscape, the fundraising is positioned alongside the ongoing conversation about infrastructure spending and the advantages of digital tools for project visibility from owner to subcontractor. The company’s public communications note that North America accounts for roughly a quarter of revenue and that the new capital will accelerate North American growth, product development, and hiring across the organization.
Strategically, Assignar intends to double its 65-person team and hire across all departments, with investments earmarked for R&D and product development to further enhance the core platform. Among the new product features envisioned are a contractor hub and a schedule recommendation engine that leverages data, AI and machine learning to support planning and execution processes. The leadership has framed these moves as part of a longer-term effort to deliver project optimization capabilities and deeper insights into field activity for large-scale infrastructure projects.
Customers of Assignar have reported tangible savings and reporting improvements. In one large earthworks contracting operation, timesheet reporting was simplified, saving tens of thousands of dollars annually. The platform was also used to pull information from reports to provide a snapshot across 15–20 active projects, illustrating how the tool can scale to complex, multi-project environments. The company’s communication emphasizes a broader aim of improving entire project visibility from the top levels of ownership down to the boots in the dirt on the field, reinforcing the potential utility of the platform across public and private infrastructure programs.
The expanded North American focus comes as the construction sector faces challenges related to productivity and coordination between offices and field operations. By combining real-time data with AI-driven scheduling recommendations and a centralized hub for contractor interactions, Assignar aims to reduce paperwork, improve communication, and cut costs associated with misaligned crews and equipment. The company also highlights that its markets include the United States, Australia, New Zealand and Canada, underscoring a strategy that leverages cross-border project management learnings and a broad customer base in both public and private sectors.
For prospective users, the platform’s value proposition remains anchored in visibility and operational efficiency, with a pathway to scale services and insights as projects grow in complexity. The corporate website and the suite of product features are positioned as entry points for interested contractors and subcontractors seeking to enhance the coordination of labor, equipment and schedules across multiple sites.
Feature | Description |
---|---|
Platform type | Cloud-based construction operations platform designed for field-to-office coordination |
Target users | Heavy civil & infrastructure self-perform general contractors and subcontractors |
Core capabilities | Scheduling and tracking of crews and equipment; field data capture; timesheets; labor and equipment management |
Real-time insights | Granular field activity snapshots and productivity measures across projects |
AI/ML features | Contractor hub and a schedule recommendation engine to assist planning and execution |
Growth plan | North America expansion, staffing expansion, and increased investment in R&D |
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