Introducing Artificial Intelligence for Construction Productivity

Enabling teams to react in minutes, not months.

I was five years old. My father had just put his life savings on the line to start a wire manufacturing business and build his first factory. On most days, he’d have left for his construction site before I woke up for school and would be back only around dinner. His colleagues would often dine with us. Our dining table resembled a war room, energized with discussions to complete the construction on time.

Our construction site in ‘97

Doxel is artificial intelligence that stops that from happening.

Within two short years, owners like Kaiser Permanente, and general contractors like DPR Construction are already using our solution.

Why do projects experience cost overruns and schedule delays?

Low labor productivity.

Manufacturing v/s Construction Productivity (Source: McKinsey Global Institute)

Unlike their manufacturing counterparts, construction managers don’t have real-time feedback on progress and quality.

While decision-makers often know how many person-hours are being spent, they don’t have an accurate measure of how much work is accomplished, or if that work is even being done correctly. The reason for this is apparent — most projects involve several teams that are installing millions of components to high accuracies. With so much to inspect, it’s nearly impossible to accurately track progress. Before they know it, the managers realize that months worth of person-hours and millions of dollars have been overspent, leading to nasty overruns and delays.

Complexity of Construction

Doxel uses AI-based computer vision software to give managers real-time feedback on schedule, budget and quality.

It’s the sophisticated control room of manufacturing, built for construction.

How Doxel works in two minutes

Doxel is the canary in the coal mine for construction overruns.

How valuable is that? In one of our projects, our real-time progress tracking led to a 38% increase in productivity and helped the project be delivered 11% below budget (read the full case study here)

Doxel’s cloud dashboard; canary in the coal mine for construction overruns

What’s transformative about this?

Comprehensive data capture: Capturing data indoors — where 80% of a construction budget is spent — has been a major challenge, until now, owing to the complex nature of construction sites. Doxel uses drones for outdoor, and ground rovers for indoor tracking.

AI-based computer vision has powerful capabilities and a promising future

A Controller at a global general contracting firm told me they’re spending about $11 million every day on construction projects.

She told me that if they’re 90% accurate on progress assessments, they’re having a very good day. Meaning that $1.1 million is getting spent every day on unaccounted work.

Behind this software is a breakthrough 3D semantic understanding algorithm that was built by my professional soulmate and co-founder, Robin Singh, and the wonderful engineers who’ve chosen to join us on this journey.

Indoor construction environments are challenging for computer visions algorithms because of the density of components, clutter and ruthless lighting. Some of the challenges are occlusion, disambiguating junk from installed materials and visibility.

I’m also thrilled to announce, that Andreessen Horowitz has led a $4.5 million seed investment into our company and Lars Dalgaard, GP at the firm, is joining us in our journey.

As the Founder & CEO of SuccessFactors, which he grew from nothing to a $3.7 billion acquisition by SAP, Lars is an enterprise software legend who’s often credited with orchestrating the first major SaaS acquisition. But that’s not the only reason why we chose to partner with him. What’s more important is that he relishes feisty conversations, puts heart into his deals and is just as audacious as we are.

Artificial Intelligence for Construction Productivity

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