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.
Assignar, a cloud-based construction operations platform, announced a $20 million Series B funding round led by a real estate and property technology investor. The company plans to use the funding to expand its business across North America, double its workforce from about 65 employees, and accelerate research and development to add new features that use data, artificial intelligence and machine learning.
The Series B brings Assignar’s total capital raised to about $31 million since it was founded in 2014. The round included follow-on support from an existing investor and a new venture investor. A partner from the lead investor has joined Assignar’s board to support the company as it scales.
Immediate priorities announced with the funding are to grow in North America — where the company currently generates roughly a quarter of its revenue — to expand hiring across departments, and to invest in product work that will add a contractor hub, schedule recommendation engine, and project optimization capabilities. The schedule recommendation work will rely on machine learning to help match crews and equipment to job needs and improve planning and execution.
Assignar builds software aimed at heavy civil and infrastructure contractors, especially subcontractors and firms that do self-perform work. The platform focuses on the day-to-day tasks of scheduling and tracking crews and equipment, capturing field data and timesheets, and measuring productivity and progress with project-level data. It is designed to give a real-time snapshot of granular field activity, streamline communications between office and field, reduce paperwork, and improve quality and safety.
Customers range from small specialist contractors with a handful of crews to multinational companies working on multibillion-dollar infrastructure programs. Markets served include the United States, Canada, Australia and New Zealand. The company reports support for hundreds of international customers working on road, rail, heavy civil, utilities and other infrastructure projects.
Since its founding, Assignar says it has historically grown revenue rapidly, more than doubling in many years, and reported about 75% revenue growth in 2020. Leadership has indicated the company paced some growth to manage cash flow. With the new capital, Assignar aims to accelerate hiring and product development so customers can scale deeper use of the platform and gain richer operational insights.
Assignar was started in 2014 and was originally born in Australia. The company relocated its base to Denver, Colorado in 2017 and maintains offices in Denver and Sydney.
Assignar shared an example from a large earthworks contractor that saw operational savings after implementing the platform, including annual timesheet reporting savings and faster visibility into multiple active projects. The platform’s field data capture and reporting tools are positioned as a way for contractors to get a quick snapshot of current projects without manual consolidation.
The announcement comes as infrastructure investment is a focus in several markets. The company framed the funding as timely for contractors preparing for increased public and private infrastructure work and as a response to a construction industry that has lagged in productivity and still relies heavily on spreadsheets and whiteboards in many places.
The lead investor in the round is a real estate technology investor that manages multiple billions in commitments and has a roster of institutional and industry backers. Other venture backers in the round include a repeat investor and a new venture investor that joined the cap table. A partner from the lead investor has taken a board seat to help guide Assignar’s North American scaling and product roadmap.
Assignar’s public information and demo materials are available on its corporate website for companies interested in learning more about the platform and potential deployment.
Assignar announced a $20 million Series B funding round to support expansion in North America, hiring, and product development focused on AI and machine learning features.
The round was led by a real estate and proptech-focused investor, with participation from an existing backer and a new venture investor. A partner from the lead investor joined Assignar’s board.
Funds will be used to grow North American operations, double the team from about 65 employees, hire across departments, and invest in R&D to add a contractor hub, schedule recommendation engine, and project optimization tools using AI/ML.
The platform helps schedule and track crews and equipment, capture field data and timesheets, manage labor and resources, measure productivity, and provide real-time visibility into field activities to improve safety, quality and operational efficiency.
Customers include heavy civil and infrastructure contractors and subcontractors in the United States, Canada, Australia and New Zealand, working on road, rail, utilities and other large projects.
Assignar was founded in 2014 in Australia and moved its base to Denver, Colorado in 2017. The company maintains offices in Denver and Sydney.
Contractors can visit the Assignar website to request a demo or review product information and use cases.
| Feature | Purpose | Expected benefit |
|---|---|---|
| Resource-loaded scheduling | Plan crews and equipment with costs and availability | Better allocation and fewer delays |
| Field data capture | Collect timesheets, work logs and safety records | Faster reporting and improved compliance |
| Schedule recommendation engine (AI/ML) | Suggest best crew and equipment matches for work | Improved productivity and optimized planning |
| Contractor hub | Centralize subcontractor interactions and data | Clearer communications and reduced paperwork |
| Real-time project snapshot | Provide granular, live views of field activity | Faster decisions and better oversight |
For more information about the platform and demo requests, visit the company website.
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