Latest articles and insights from EstimateNext
The $3.5B California High-Speed Rail JV isn't just a megaproject—it's a case study in how slow, manual estimation processes can derail even the best bids. Here's where AI fits in.
Turner-Consigli’s $2.3B NYC Cancer Center isn’t just a construction marvel—it’s a cost estimation masterclass. Here’s how AI tools can solve the most brutal bottlenecks.
Seattle's $34.5B Sound Transit funding gap raises tough questions: How do you cut costs without cutting corners? AI-powered cost engineering might be the answer. Here's how they're using it.
When a JV won the $1.02B NYC subway extension, it wasn’t just engineering that sealed the deal. Speed and accuracy in bid leveling played a critical role. Here’s how they did it—and what cost engineers can learn.
Flipping through rate books for hours? AI-powered rate matching slashes that time to seconds. Here's how it works and why it's a game-changer for GCs and subs alike.
Flipping through rate books eats up 12 hours per estimate. AI-powered semantic search fixes this in seconds. Here's how it works.
Flipping through rate books costs estimators 12 hours per bid. AI tools like EstimateNext cut that down to seconds—saving time and boosting accuracy. Here's how.
Normalizing sub bids manually takes 6 hours per bid. Here's how AI-powered estimation tools cut that down to just 30 minutes — without the headaches.
Flipping through rate books for hours? AI-powered estimation tools slash this to seconds. Here's how smart rate matching is transforming preconstruction.
Manual drawing takeoffs waste 40 hours per project. AI tools like EstimateNext slash that to just 10 minutes. Here's how it works—and why it matters.
Manual subcontractor bid leveling eats up 120 hours per bid. AI-powered tools like EstimateNext cut it to 30 minutes. Here's why that's game-changing.
Manual rate lookups waste up to 36 hours per estimate. With AI-powered rate matching, that time drops to seconds. Here's how it works.