Field Materials Secures $10.5M to Automate Construction Procurement
Field Materials, a company developing an AI platform for material and equipment procurement in the construction industry, has raised $10.5 million in a Series A funding round. This latest investment, led by Navitas Capital, brings the startup's total funding to nearly $19 million.
The AI platform by Field Materials aims to streamline the procurement process by automating the reading and entry of vendor quotes, delivery slips, and invoices into major construction accounting systems. This technology reduces processing time by 90% and helps construction companies improve margins and secure volume pricing.
Field Materials, launched less than two years ago, is already processing over $360 million in material and equipment purchases annually. The company supports customers across 27 U.S. states and nine construction trades, including some of the largest contractors like Swinerton and Teichert.
With the new funding, Field Materials plans to double its team and triple its revenue in 2025, addressing the growing demand for AI capabilities in the construction sector.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief, Industrial AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 KBRA Rated Anthropic BB+ Before $35 Billion Chip Financing Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 Intuit Agrees to Acquire AI Billing Startup Sequence for Reported $200 Million Oct 16 Matters Raises $5 Million to Build AI Consumer BankAI Funding Brief
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Mistral AI Acquires New Material and Forms Solutions Design Team
Feldera Raises $21.5 Million to Cut Database Compute Costs
Adaptive Raises $30 Million for Construction Accounting Agents
Flow Engineering Raises $50 Million at $750 Million Valuation
Axya Raises C$17 Million for AI Procurement Platform
Daily AI Brief: the AI news that matters, in your inbox.