AI teaching computers to make business sense of ill-lit 3D objects. We invested in Doxel, because of Saurabh Ladha, and his co-founder Robin Singh. They are without much parallel when it comes to the tech of 3D semantic understanding, and with their team of CS PhDs essentially writing software using AI to teach computers to make sense of the 3D world around them  — even when in less than ideal, real world sites that have little to no light. Both founders come with exceptionally strong engineering backgrounds, having met on the Dubai campus and then they split off to respectively Stanford and Ann Arbor Michigan for further education. This technology has broad application to industries of any kind wanting to know what’s going on on any physical project of theirs, be it construction, agriculture, shipping, manufacture and many more have been relegated to a 2D static world. The Doxel founders have deployed their solution to report progress and quality to managers, on multi-billion dollar projects, in real time with high accuracy and fully automated due to Doxel’s proprietary AI algorithms. This autonomy computer vision technology has so many applications in today’s business world of autonomy, where we simply do not know what’s going on in most of the physical layers of businesses, until it’s too late.

Construction budget overrun as target market. Their excellent and best in class tech background was only 1/3rd the reason for the excitement to lead the Seed round. The construction industry notoriously overruns budget by $100s of Millions and sometimes Billions. Among all the target industries they could pick, Doxel has decided to target what we found was a brilliant and estimated 10 Trillion dollar target market of the construction industry. They’re quickly delivering on very obvious and immediately attention grabbing goal: Have “the robots” tell management in the construction industry, with great accuracy and immediately where the project is beginning to run off the rails, and take action before the money is lost, rather than managers waiting weeks to get a report that they may not even know is correct or not.

Reducing friction to customers. The third reason we decided to invest was the unusual and convincing focus on real customers. It was very early days in the company’s life, but Saurabh flew down to a client on their construction site, right after the pitch to us, and Robin was already there, working directly with the client, with no friction, bringing the before unseen technology to the construction clients in direct collaboration with them. When we did our due diligence, their familiarity and intimacy with the clients, walking around on the construction site, clearly an embedded part of the team, was very convincing, and not something that’s easy to compete with, nor easy to teach to anyone else. It’s customer focused technology adoption straight from the founders. Writing the complex proprietary 3D algorithms direct on the customer construction site, while seeing data streaming in from cameras live in the 3D point cloud, beats sitting in a lab and coming up with theories about it.

Beyond basic computer vision, contextualizing shape, location and size. One of the things that has excited me on the investment since we invested has been Saurabh and Robin’s extreme dexterity and clarity in getting to what matters for customers, not trying to prove their original ideas right, but focused on the product result that amaze the customers. An example of that is how construction projects target learning data is a bunch of black indistinguishable objects on the construction site, that traditional computer vision would play back more or less incomprehensibly. Doxel has taken their 3D algorithms beyond contextualizing just objects based on color, but are now live on sites with contextual data of shape, location and size — live — giving construction project operators and management a live job site in their hands!!

As they have begun monetizing their exceptional technology, they are now building out the management team to scale.




The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.

This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see for additional important information.