Profit from a time-efficient and more affordable way to uncover ground conditions in the project area.
Stay on time and on budget with a fast and reliable process.
Easy to understand 3D models rapidly
acquired by airborne surveys.
Receive a ground model 10 times faster than you're used to.
Our technology and method are proven in large scale projects since 2009. We mapped all planned rail infrastructure in Norway for the coming 16 years, all in one summer. We examined 90 km of road in 5 days. Our customers save time and money - Nye Veier saved 24 million USD, reducing drilling by 30%.
Globally, 90% of larger projects experience cost overruns. Ground conditions are the major unknown in most infrastructure projects.
We have seen countless projects fail due to the lack of information about ground conditions. We apply the latest AI and machine learning to deliver accurate 3D images of the subsurface.
More than 10 years of experience mapping ground conditions.
18 successful large scale
projects since 2009.
30+ years of combined experience developing AI tools.
900 km2 of ground mapped internationally.
All we need to know is where your project is located, its size and particular geological unknowns. Based on that we can assess technological feasibility and economic benefit.
Once we thoroughly assessed the added value of our method for your goals and received an order, you lean back and we care for data acquisitions, harvesting, integration and machine-learning based model building.
Working with EMerald you won’t need domain specialists to make sense of the sensed. We deliver and give easy access to integrated 3D models that provide the insights your project needs.
Our technology and method have been proven in large scale projects since 2009. We have been working closely with Nye Veier in Norway on several big projects. See what they have to say about our work below.
"Working with EMerald Geomodelling saved us 250 million NOK in a single project and reducing drilling by 30%. The elimination of uncertainty about what's going on under the surface was priceless."
When you apply for a summer internship, there is often a risk you´ll be set to do tasks no one else wants to do. What if you got the opportunity to make and try new machine learning algorithms? The bonus ofcourse is to be included in a small, but dynamic group that goes that extra mile.
EMerald Geomodelling in partnership with SkyTEM, SDU and NGI has secured Eurostars funding for a € 1.6 M development project. The funding will help finance the development of a drone-based system and piloting with strategic partners over the next 30 months.