Field Materials, a US-based AI construction procurement platform, has raised $10.5m in a Series A funding round.

This investment boosts the company's total funding to nearly $19m and aims to transform the $600bn US market for construction materials and equipment rentals, which currently depends on outdated methods such as phone calls and manual data entry.

The funding round was led by Navitas Capital, with contributions from Blumberg Capital, DivcoWest Ventures, S16vc, and Superseed Ventures.

Field Materials claims its AI platform addresses the industry's inefficiency by automating data entry into nine major construction accounting systems, reducing processing time for purchase orders and invoices by 90%.

The platform's proprietary large language models read vendor quotes, delivery slips, and invoices, identifying materials, units, and quantities for automatic data entry.

This is claimed to streamline processes and also enhance profit margins and enable construction firms to secure volume pricing.

Field Materials boasts a client roster that includes prominent US contractors such as Swinerton, Teichert, and Big-D.

These companies manage over 4,500 construction projects.

Field Materials plans to double its team and triple its revenue in 2025, with this recent funding.

Field Materials co-founder and CEO Eldar Sadikov said: "Construction companies, big and small, shared with us how much they need our product, especially now with tariffs impacting prices of materials and equipment.

"The capital raised in this Series A round will accelerate the delivery of AI capabilities the industry needs. In other words, it will help us meet the growing demand."

Despite being launched less than two years ago, the startup claims to be already processing over $360m in annual purchases from more than 8,000 vendors and supports customers across 27 US states in various construction trades.

The founders of Field Materials, Sadikov and Victor Gane, both Stanford PhD candidates in AI and civil engineering, respectively, leveraged their expertise to create an AI-native product that is user-friendly and requires minimal training.

Their platform serves a diverse range of construction sector clients, including general contractors and subcontractors in HVAC, plumbing, concrete, masonry, insulation, and more.