The Universal Value of Spatial Data
From endangered species to polluted soil to the bedrock beneath your feet - spatial data powers better matching between clients and experts.
Spatial data isn't just about one thing. It's about everything that exists in a location—from the beetle on the brink of extinction to polluted soil to the bedrock beneath your feet.
And here's what we believe: all of it can be used in conjunction. All of it has value.
Everything Has a Location
A geotechnical investigation tells you about ground conditions. An environmental assessment reveals contamination. A biodiversity survey identifies protected species. A property boundary defines ownership.
These aren't separate domains. They're all spatial data about the same locations, and they all matter when you're planning a project, evaluating a site, or understanding an area.
The Connection Problem
Right now, this data sits in silos. Companies, government agencies, research institutions, and consultants all maintain their own databases. When someone needs expert help understanding a location, they have no way to know which firms have relevant local experience and data.
This isn't just inefficient. It means valuable expertise goes underutilized, relevant context gets missed, and clients get matched with the wrong consultants.
Our Goal
We're building Drillbid to help companies leverage their spatial data for better project matching. When companies share metadata about where they've worked, we can connect them with clients who need exactly that expertise and coverage.
When a construction company needs help and we know an environmental firm has done contamination work nearby, both parties benefit. When a developer needs a consultant and we can match them with a firm that has foundation data in that specific area, value is created for both sides.
This creates qualified lead flow for companies while helping clients find the right expertise faster.
Intelligent Matching Through Spatial Understanding
We're starting with geotechnical data because that's where we see immediate demand. But the matching intelligence we're building can work for any type of spatial expertise.
Biodiversity specialists. Utility consultants. Environmental assessors. Archaeological firms. Geotechnical investigators. Traffic engineers. Soil analysts.
All of it has a location. All of it has value. All of it can power smarter matching between clients and experts.
The Vision
Imagine a world where clients get matched with the right consultant not just based on generic capabilities, but on actual local experience and relevant data. Not accessing the raw data itself—that stays with whoever owns it—but using spatial understanding to make better connections.
That's the future we're building toward. A world where spatial intelligence powers better matches, data sovereignty is maintained, and value flows to everyone who participates.
Universal value from intelligent connections.