Togal’s construction AI engine uses AIA measurement standards toautomatically andaccurately detect, label, and measure project spaces & objects withinseconds. Togal.AI will increase the performance of estimators and provide them with insights into their project space efficiencies. Togal.AI supports all drawing formats, Including PDF, JPEG, PNG, and TIFF.
WE SOLVE REAL PROBLEMS
What We Can Do For You
Save Time & Money
Our Construction AI models help to fully automate the quantity takeoff process, therefore reducing inefficiencies inherent in current takeoff solutions.
Reduce Human Error
Eliminates the laborious manual take-off process that requires drawing polygons, lines, and dots to measure areas and count objects.
Expedite The Bidding Process
Contractors and subcontractors can submit bids faster than ever. More bids submitted, increase the probability of winning more projects.
VALUE ACROSS THE BOARD
All Togal.AI users :
Save time & money
Bid on, and win more work
Increase quality of bids
No long-term contracts
Enjoy low barriers to use
Enable value engineering
“Rollers & Rulers”
Save at least 40 minutes per sheet
Intuitive user interface & user experience (UI/UX)
Now have the same tools bigger companies use
Significant error reduction
Save at least 20 minutes per sheet Decrease cost of estimation overhead Augments current software solutions; dovetails into current workflows No switching costs
Togal.AI possesses the two traits recent FMIresearch claims contractors value in technology:
Efficiency and Speed
Ease of Use
Togal.AI owns two major traits FMI’s Tech Investor Network cite as critical to construction tech startups:
Uniqueness of Solution
Togal.AI was built and overseen by world-class industry experts and offers an intelligent solution that is not found anywhere else. In addition, Togal.AI is:
Useful and affordable across small, mid, and large market clients.
Meets the unmet needs of an under-served part of the industry: estimation.
Togal.AI is a combining the capabilities of two industry leaders – bringing the experience from a fourth generation construction management firm and a top artificial intelligence and software development firm.The goal of our team is to improve efficiency in the construction industry.
As with any other type of software, where users spend a lot of time working with them to do their jobs, takeoff software need to check the two most important boxes in order to achieve fast adoption: User Friendliness, and Accessibility..
A trendy term has been emerging over the last five years in software, UI/UX design. UI/UX stand for User Interface & User Experience. User Interface deals with the look and feel of the website, like fonts, colors, page structure, along with many other factored. While User Experience tackles the obstacle of making the software get the user from point A to point B, as fast and as seamless as possible.
With the emergence of the novel Work From Home (WFH) trend, which we have witnessed in the last year, it is obvious that accessibility or ability to access work off-campus is essential for productivity; Web-based software are the only way to go. Estimators need to be able to open their drawings, conduct take-offs, generate reports, and collaborate with their colleagues at anytime from anywhere.
Therefore, whenever Pre-Construction leaders or estimators consider looking into new takeoff software to do their job, they need to investigate these factors.
Artificial Intelligence is a term used to describe how machines can be trained to imitate human cognitive functions – spotting patterns, learning from experience or understanding images. AI in construction involves using these technologies to make building sites safer, reduce waste and boost efficiency.
While construction AI technologies are still relatively new and not yet widely used, they are expected to grow. Indeed, one forecast reckons the building AI market will reach USD $4.5 billion by 2026.
The following examples give some insight into the ways AI could be used in construction:
1) Generative design
One of AI’s greatest strengths is its ability to explore many different variations of a model to find the best option. Generative design has already been used in manufacturing and are trying to bring it to the construction sector too.
2) Predictive maintenance
AI could feasibly be used to train a machine to spot patterns in maintenance issues and locations. Eventually, it could plausibly begin to predict when certain surfaces, fittings or materials will become damaged or worn and alert maintenance teams to this.
3) Project management
Project managers could use AI-enhanced PPM software that identify how likely their plans are to be delayed. This could help them revise projects and find ways to manage time and resources better.
We’re still a long way from a world of autonomous robot bricklayers, yet firms are already providing bulldozers and excavators which can be given defined tasks and work alone. This kind of technology could save enormous sums of money and make projects progress faster.
5) AI-enhanced drones
Drones are already being used on construction sites to give builders new perspectives on projects and progress. The applications here are enormous – from spotting dangerous activity to monitoring productivity levels, intelligent drones could help make sites safer, more efficient and productive.