OPENSPACE

Jeevan Kalanithi was a PhD student at MIT's Media Lab studying spatial computing. He co-founded a drone startup that used cameras to map the physical world.

That experience taught him that capturing reality and comparing it to plans was valuable across many industries. Construction was the obvious choice because it has the most expensive gap between what is planned and what is built.

He founded OpenSpace in 2017 with the insight that you do not need fancy robots or drones to capture a construction site. You just need a person walking around with a 360-degree camera.

The AI handles the hard part: stitching images together, mapping them to floor plans, and creating a navigable record of the site at every point in time.

The early product found instant traction because it solved a universal pain point. Every construction project has disputes about what was done when.

OpenSpace creates an indisputable visual record. When a subcontractor says they finished the electrical rough-in on Tuesday, you can check the OpenSpace capture from Tuesday and see for yourself.

OpenSpace sells subscriptions to construction companies. Pricing is based on the number of active projects and the volume of captures.

Large general contractors with dozens of active projects represent the highest-value customers.

The data OpenSpace captures has value beyond just visual documentation. The company has been building AI tools on top of its massive image dataset: automatic progress tracking, BIM comparison, and quality analysis.

Each of these becomes an upsell opportunity. Capture the site once, sell analytics on top of it multiple times.

OpenSpace Capture is the core product. Walk a site with a 360 camera, and the platform creates a photo-realistic digital twin mapped to your floor plans.

You can navigate the site from your desk, compare different dates side by side, and share specific views with stakeholders.

OpenSpace Track uses AI to automatically measure construction progress by comparing captures to BIM models. It identifies what percentage of work is complete for each trade and flags areas that are falling behind schedule.

ClearSight is the analytics layer that detects quality issues, safety hazards, and deviations from plans.

OpenSpace grew by making the capture process dead simple. Clip a 360 camera to your hard hat.

Walk the site. Upload.

Done. No training required.

No behavior change. This simplicity drove viral adoption within construction companies.

One project manager would try it, love it, and demand it on their next project.

They also offered a free tier for small projects, which got thousands of construction teams using the product. The free tier captures are limited, but they are enough to get hooked.

Once a company sees the value of having a visual record, upgrading to the paid tier with AI analytics becomes an easy sell.

The main challenge is proving ROI beyond documentation. Construction managers love having a visual record of their sites.

But paying $50,000+ per year for what is essentially a fancy photo album requires justification. OpenSpace has been investing in AI analytics to move from passive documentation to active intelligence, but the analytics features are still maturing.

Competition from Buildots and Doxel is intensifying. All three companies want to be the construction monitoring platform of record.

OpenSpace has the most captures and the largest dataset, which is a moat if AI analytics pan out. But the market has not consolidated yet.

Menlo Ventures led OpenSpace's $55 million Series C in 2020. A16z led the earlier Series B.

Lux Capital was an early seed investor. The a16z investment was significant because the firm's construction tech thesis attracted attention from the broader VC community.

Having both a16z and Menlo Ventures on the cap table gave OpenSpace credibility with enterprise customers who care about the financial stability of their software vendors.