AI-powered software analyzes PDF electrical plans and generates material and labor lists for estimating teams.
United States, August 18, 2025
A new construction tech startup unveiled an AI-powered platform that automates electrical takeoffs from PDF construction plans. The system combines computer vision to read drawings and industry symbols with generative AI to assemble comprehensive bills of materials and labor cost estimates. Pilots with select contractors are underway to validate workflow improvements and accuracy gains. The tool aims to cut manual estimating hours, help mitigate workforce shortfalls caused by retirements, and speed preconstruction timelines. The company plans to expand support to plumbing, framing and HVAC and is seeking beta partners to refine models and trade-specific features.
A newly launched construction automation platform is rolling out a tool that reads PDF plans and automates electrical takeoffs, aiming to cut the time and effort needed to prepare material and labor lists. The company behind the platform, a new entrant in construction tech, says the system uses computer vision and generative AI to interpret plan legends and standard industry symbols and then produce comprehensive lists for materials and labor costs.
The platform’s first release focuses on electrical work. It scans standard architectural and electrical drawings, recognizes symbols and legend entries, and converts those visual cues into itemized takeoffs. The company says this removes many hours of manual counting and back-and-forth interpretation that normally fall to estimators and preconstruction teams. The output includes a detailed bill of materials and an estimated labor-cost breakdown intended to help contractors build more accurate bids.
The company frames the tool as a way to reduce errors that can happen when experienced staff manually read plans or rely on partial automation that still needs heavy human input. By automating symbol interpretation, the firm expects estimators to spend less time on repetitive tasks and more time on pricing strategy and project planning.
The founding team includes a contractor-turned-entrepreneur who leads the company, along with an AI and machine learning engineer who previously worked in defense and government settings, and a technologist experienced at building business automation tools. The engineering lead is credited with driving the core AI model development, while the technologist helps tie business workflows to the technical solution.
The company has a strategic relationship with a business accelerator that will provide support for sales, marketing and executive coaching. The accelerator’s chief executive will act as a strategic advisor to the startup and help guide scaling and go-to-market efforts.
The platform is currently being piloted with select contractors. Pilot users are testing whether the system fits into existing workflows, speeds the takeoff process and reduces spotting or counting errors. The company is also actively looking for additional partners and beta testers to expand coverage and refine the models.
While the debut tool targets electrical takeoffs, the company plans to expand to other trades in the coming year, starting with plumbing, framing and HVAC. Longer-term goals include adding broader construction functions such as project management support, cost estimation across trades and resource allocation features.
The launch comes as the construction sector faces headwinds from an aging workforce. The company cites industry estimates that up to 40% of the current construction workforce could retire in the next few years, a trend that could make automation and productivity tools more critical. Company leaders say time saved through automation will be important as firms adjust to labor shortages and try to keep projects on schedule.
The company describes the platform as still in early stages but showing promise in reducing hours of manual work and improving the accuracy of takeoffs. It says the system already produces material lists and labor-cost estimates from drawings and that pilots have shown workflow improvements. The team is exploring ways to make its models more adaptable to different plan formats and project types.
The company’s founder leads a separate design-build firm focused on affordable housing and renovation projects, and has also authored a book on building business success and runs a national business conference aimed at contractors and small construction firms. The founder has received recognition for entrepreneurship and local philanthropy.
The platform is not yet a mass-market product; interested contractors and potential partners are invited to reach out for pilot opportunities. A company email and phone number are listed as primary media contacts. The company also provides an authorized channel for reporting errors or requesting a press release takedown and commits to responding within a stated eight-hour window.
The platform reads PDF construction plans and uses AI to turn plan symbols and legends into itemized electrical material lists and labor estimates.
The initial release focuses on electrical takeoffs. The company plans to add plumbing, framing and HVAC in the coming year, with additional construction workflows slated for later development.
The system combines computer vision to recognize symbols and drawing elements with generative AI to organize and present the extracted data as practical takeoff lists and cost estimates.
The company positions the tool as an assistant that reduces repetitive manual work and helps improve accuracy. Human oversight is still expected, especially for complex projects and final bid decisions.
The platform is in early release and is being piloted with select contractors. The company is seeking additional beta testers and partners.
Contractors and prospective partners can contact the company through the media contact channels provided by the team to inquire about pilots or partnerships.
| Feature | Description | Current status |
|---|---|---|
| Electrical takeoff automation | Scans PDF plans, recognizes symbols and generates material and labor lists. | Launched; in pilot testing |
| Symbol and legend interpretation | Uses AI models to read common plan legends and industry symbols. | Active |
| Expansion to other trades | Plumbing, framing and HVAC support planned within a year. | Planned |
| Model refinement | Improving adaptability to different plan formats and project types. | Ongoing |
| Pilot programs | Selected contractors test workflow fit and accuracy gains. | Underway |
Media contact: company founder and CEO. Website: https://aibuilderco.com/. For reporting errors or requesting a press release takedown, use the company’s authorized contact channel at error@releasecontact.com.
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