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.
A cloud-based construction operations company has closed a $20 million Series B round led by a major real-estate-focused investor. The funding will be used to expand operations in North America, roughly double the company’s current head count, and accelerate research and development of new product features that use data, AI and machine learning.
The new capital brings the company’s lifetime funding to about $31 million. Leadership plans to grow its team from about 65 employees to roughly 130, hiring across all departments. The company will invest heavily in product development, including a planned contractor hub and a schedule recommendation engine that uses field data and machine learning to support planning and execution on jobsites.
The Series B was led by a Los Angeles-based real estate investor that manages roughly $2.5 billion in commitments and lists many large real estate firms among its backers. An existing backer made a repeat investment, and a new venture investor joined the round. As part of the deal, a partner from the lead investor will join the company’s board to help guide North American scale-up.
The company makes a cloud-based construction operations platform that targets heavy civil and infrastructure self-perform general contractors and subcontractors — the teams that physically carry out pipeline, road, rail, utility and earthworks work. The platform offers resource-loaded scheduling, field data capture, timesheets and tools for managing labor, crews and equipment. Customers use the product to get a real-time snapshot of field activity, match crews and equipment to specific jobs, and measure productivity and progress with data pulled from the site.
The company supports hundreds of international customers across the United States, Canada, Australia and New Zealand, and its customers include both small specialist contractors with a few crews and large multinational firms working on multibillion-dollar projects.
Company metrics reported in the announcement show long-term fast growth. The company says it has historically expanded revenue quickly year over year and posted a 75% increase in revenue in 2020. Executives noted the firm paced hiring and burn to manage cash flow, which limited even faster growth.
A large earthworks contractor in Colorado reported that implementing the platform saved the business more than $30,000 per year in timesheet reporting costs and made it possible to pull up consolidated information across roughly 15 to 20 active projects for quicker operational decisions.
The raise comes at a time when infrastructure spending is expected to increase in several markets. Company leaders see demand for tools that increase visibility from project owner down to subcontractors, and they frame their product as solving a gap for field-first contractors who still rely on spreadsheets, whiteboards and paper. The platform is positioned differently than many construction software products that focus on large commercial general contractors; this product emphasizes the needs of subcontractors who carry out most on-site work.
Founded in 2014, the company began in Australia and moved its base to Denver, Colorado in 2017. It maintains offices in Denver and Sydney and serves both public and private infrastructure projects. The leadership team includes founders with hands-on contractor experience who built the software to solve gaps they saw running crews and equipment from spreadsheets.
The company will use the new funds to build features described as project optimization capabilities, a contractor hub, and a schedule recommendation engine that recommends crews and equipment matches based on historical and live project data. These features aim to reduce paperwork, improve quality and safety, and bring time and cost savings to field operations.
The company encourages interested contractors and owners to visit its website for demos and further product information.
The company raised $20 million in a Series B round led by a real-estate-focused investment firm. Existing and new venture investors also participated.
Funds will accelerate North American growth, double staff size, and expand research and development for features that use data, AI and machine learning, including a contractor hub and schedule recommendation engine.
The company serves customers in the United States, Canada, Australia and New Zealand, and has offices in Denver and Sydney.
Users include heavy civil and infrastructure self-perform general contractors and subcontractors, ranging from small specialist firms to large multinational contractors working on multibillion-dollar projects.
Core features include resource-loaded scheduling, field data capture, timesheets, crew and equipment management, productivity monitoring and tools to improve safety and quality.
After the Series B, total funding stands at about $31 million since its founding.
The company positions its platform to help contractors respond to increased infrastructure investment by improving field visibility, reducing manual processes, and optimizing deployment of crews and equipment.
| Feature | What it does | Status |
|---|---|---|
| Resource-loaded scheduling | Plans crews and equipment against tasks and budgets | Core |
| Field data capture | Collects daily field records to track progress and safety | Core |
| Timesheets | Digital time entry to reduce reporting costs | Core |
| Crew and equipment matching | Helps assign the best resources for a specific job | Core |
| Project optimization | Planned tools to improve scheduling and execution | Planned |
| Contractor hub | Centralized place for subcontractor coordination | Planned |
| Schedule recommendation engine | AI/ML-driven suggestions for planning and sequencing | Planned |
| Real-time snapshot | Live view of granular field activity for decision making | Core |
For demos and more information, the company’s website is listed on its public materials.
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