Full-Time
AI-powered construction estimating software
No salary listed
Remote in USA
Remote
Must work in the Central, Mountain, or Pacific time zones.
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Togal.AI provides AI-powered construction estimating software that uses deep learning to automate quantity takeoffs, measuring materials and labor for a project. The SaaS platform analyzes drawings and documents to generate quantity takeoffs and cost estimates, which users review and adjust. It differentiates itself by blending seamless integration with existing construction management tools and automating takeoffs without forcing disruptive workflow changes. Its goal is to improve estimation accuracy and efficiency so estimators can focus on strategic tasks and firms can bid and deliver projects more effectively.
Company Size
51-200
Company Stage
Seed
Total Funding
$5.4M
Headquarters
Miami, Florida
Founded
2019
See people who can refer or advise you
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Unlimited Paid Time Off
Remote Work Options
The next wave of construction AI? Going deeper into individual trades. AsAI adoption in construction grows, the industry is entering a new era: more specialized AI tools built to solve the unique workflow challenges of individual trades. Miami-based Togal.AI, the AI-powered construction estimating platform, is taking that approach with the launch of Assemblies, a new feature designed to automate one of the most detailed and time-consuming [...] Aug 19, 2026. AsAI adoption in construction grows, the industry is entering a new era: more specialized AI tools built to solve the unique workflow challenges of individual trades. Miami-based Togal.AI, the AI-powered construction estimating platform, is taking that approach with the launch of Assemblies, a new feature designed to automate one of the most detailed and time-consuming parts of drywall estimating. "Construction isn't one industry with one workflow. It's thousands of specialized contractors, suppliers and vendors, each with their own expertise," said Patrick Murphy, Founder and CEO of Togal.AI. "Drywall is where we're starting, but the bigger opportunity is to take AI deeper into those individual workflows and give each trade technology built around how they actually work." Traditionally, drywall estimators measure walls from construction drawings, then move those quantities into spreadsheets or other programs to calculate everything needed to build them, from studs and drywall to insulation, screws, labor and equipment. Assemblies brings that entire process into Togal.AI. The result is fewer manual handoffs, less re-entry of data and a faster path from construction drawings to a bid-ready scope. "Drywall is a perfect example of why construction estimating is so much more complicated than simply measuring a set of plans," Murphy said. "An estimator doesn't just need to know how many linear feet of wall there are. They need to know what goes inside that wall, how it's built and what it will take to actually price and construct it. Assemblies lets contractors take their own estimating knowledge and apply it much faster." "For contractors, estimating capacity directly affects how much work they can pursue," Murphy added. "If you can dramatically reduce the time spent building each estimate, the same team can bid more projects and focus on value engineering." Togal.AI chose drywall as the first trade for Assemblies because of the complexity and level of detail required to estimate it accurately. Users can create their own assemblies or start with Togal.AI's industry-standard drywall templates, which can be customized to match a contractor's existing estimating practices. Contractors moving from legacy estimating platforms such as PlanSwift or On-Screen Takeoff can also migrate their existing build libraries, allowing them to retain formulas and estimating rules developed over years of work. Completed calculations can be exported with formula columns and cost codes and organized by factors such as material and stud height, helping contractors carry takeoff information into estimating and procurement workflows. The launch marks the beginning of a broader strategy for Togal.AI: building increasingly specialized estimating capabilities for individual construction trades rather than treating every scope of work the same.
Togal.ai Inc., a pioneering fintech company based in the Middle East, has successfully raised $7 million in a Series A funding round.
Certainly, I could share many examples of AI in estimating - and I did in the past when Togal.AI launched a new ChatGPT feature.
By Krysten BrenllaJust as they are throughout this year’s March Madness, game-changers were out in force at events like eMerge Americas and Israel Tech Week – fueling the fire for #MiamiTech entrepreneurs, investors, startups, and tech lovers.From March 27 to April 3, over 50 speakers and more than 2,000 attendees came together during a series of events for Miami’s first-ever Israel Tech Week, which united Israel’s tech ecosystem with Miami’s tech innovation hub, shedding light on the innovations and impact technology is having on startups, companies, talent, and more. On Wednesday, Refresh Miami had the opportunity to tune in to Israel Tech Week’s PropTech Summit, where real estate developers, investors, property managers, founders, and technology innovators came together to explore how artificial intelligence, smart buildings, and digital transactions are reshaping the future of real estate, construction, and property management.Throughout the evening, two panels – moderated by Eric Brody, founder and principal of Anax Real Estate Partners – dove into ‘Real Estate and Construction Tech’ and ‘Why Real Estate Needs Tech.’Here are three insights straight from the minds of construction giants and industry trailblazers that we took away from the evening: 1: Do we really need artificial intelligence in real estate, construction, and property management? The answer is yes.Patrick Murphy, founder and CEO of construction-tech startup Togal.AI and CIO of Coastal Construction, emphasized the processing power of AI, and how its automation can turn boring tasks that may take humans months to complete – like quantifying materials –- into seconds with a click of a mouse.“McKinsey did a study not too long ago that said over the past 50 years, the increase in productivity and construction is 0 percent – construction, many could argue, has gone backwards,” Murphy said. “But, I believe that artificial intelligence has now presented the processing power to interpret the nuance in those PDF/plan documents and excel spreadsheets in construction, and make sense of it very quickly.”Marcos Marti, vice president of technology at Related Group, emphasized how AI is positively impacting property management through predictive maintenance by detecting potential property issues before they even occur.“One of the biggest frustrations that you have when you manage a property is the maintenance staff – they’re very hard to come by,” Marti said. “With the recent advances in AI, we’re seeing that we can actually dispatch someone and have a regional maintenance employee, versus one for every building – which is nearly impossible to come across these days.”He also highlighted the effectiveness of AI chatbots in property management with their human-like interactions, allowing leasing questions to be answered quickly and effectively.“Five years ago, you knew you were talking to a bot. Now, with advances in AI, it’s more natural – clients are happy because they’re getting the right answer, and faster.”2: Rather than fearing job displacement with AI, professionals in the industry should view AI as tools for empowerment.Although real estate and construction may seem like brick and mortar, automation and technology are needed to help escalate projects and tasks. However, many employees are feeling scared when it comes to the rise of AI – will jobs be replaced by this scary tool?The answer is definitely not
MIAMI, Fla. - Togal.AI is celebrating Chief Operating Officer Karlie LaCroix and all of the women in the construction industry during the 24th Annual Women in Construction Week (March 6-12, 2022).