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Intermap Technologies has finished buying PCI Geomatics Group, which works under the name CATALYST. This move gives Intermap tools for watching the earth from space handling pictures using AI and machine learning and running computers close to data sources.
The deal was finished on October 7 after PCI shareholders approved it on September 25 and after the Ontario Superior Court of Justice gave its approval on September 28. Intermap spent $7.7 million in cash to buy PCI Geomatics Group.
The purchase joins Intermaps 3D earth data and AI/ML analytics with PCIs software that handles satellite and airplane images creates maps from photographs and watches the earth from space.
Acquisition Adds 30,000+ Installed Licenses
A big part of this deal is PCIs customer network. CATALYST already has than 30,000 installed software licenses in more, than 150 countries. This gives Intermap a ready‑made customer list and a way to sell its products.
Intermap thinks the deal will nearly double its income. The company also plans to use PCIs software users to add Intermaps AI/ML analytics and other earth tools into the work processes of those customers.
The new collection of products will cover steps of the earth data journey. From getting and handling images to running analyses and sharing the results through applications and APIs Intermap and PCI will offer a set of tools.
Moving Geospatial Processing Toward the Edge
A focus of the combination is distributed edge processing.
Traditional geospatial workflows often require volumes of imagery and data to be sent to systems before any analysis can begin. When processing happens closer to where the data’s collected or used latency drops and less data needs to be moved.
Intermap says PCI’s technology will let its AI/ML tools operate nearer, to customers and the systems that create or use data. The company believes this shift supports workflows while also improving data quality, security and data sovereignty.
This approach matters most in situations where quick decisionsre critical—like infrastructure monitoring, defense operations, aviation and telecommunications or any environment where real-time responses are needed.
Combining 3D Data With Satellite and Aerial Imagery
Intermap brings a large proprietary 3D data foundation to the combined business. Its dataset covers more than 300 million square kilometers across more than 150 countries, according to the company.
PCI adds software for processing optical imagery, satellite and aerial data, and photogrammetry. The combination therefore links different layers of geospatial information rather than relying on a single type of sensor or dataset.
Intermap also intends to connect PCI’s image-processing capabilities with its AI/ML models, synthetic aperture radar (SAR) processing technologies and data archives.
For customers, the objective is to turn large amounts of raw imagery and geographic information into more immediately usable intelligence within existing workflows.
Applications Across Government and Commercial Markets
The acquisition expands Intermap’s presence in both government and commercial markets.
Geospatial intelligence is being used more and more across a range of areas. These include infrastructure planning, insurance risk assessment, telecommunications, transportation, renewable energy, agriculture, natural resources, defense and space.
Adding PCI’s customer base and software could help Intermap bring its data and analytics into existing applications. The company plans to grow access through native applications, APIs and Data-as-a-Service offerings.
This move also shows a trend in geospatial technology—toward automated analysis. As satellites, aircraft and other sensors create more and more imagery organizations need software that can process this data without relying on work.
Intermap Sets 2027 Revenue Guidance
Along with the acquisition announcement Intermap shared its commercial revenue outlook for 2027.
The company expects between $12 million and $15 million in revenue for the year ending December 31 2027. That would be 100% growth with adjusted EBITDA around $5 million. Intermap said this guidance does not include any contribution from government procurement programs since the timing of those remains uncertain.
At the time of closing Intermap had about $14 million in liquidity. This does not include than $150 million in third-party credit support arranged for an ongoing procurement in Indonesia.
These revenue and profitability numbers are company guidance. They are still subject to risks and uncertainties. These include the challenges of integrating the acquisition and turning expected opportunities into real revenue.
What the Deal Means for Geospatial Technology
The acquisition signals a shift in geospatial technology. This shift focuses on combining high-resolution 3D information, satellite imagery, artificial intelligence and distributed computing.
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For businesses processing data where it is generated can be important. This is especially true when applications need latency, strong control over sensitive information or operation in places, with limited connectivity.
By combining PCI’s established imagery-processing software with Intermap’s 3D data and AI/ML capabilities the new company aims to create a more connected path. This path takes remote-sensing data and turns it into decision-ready intelligence.
The immediate challenge will be execution. This includes integrating the two technology portfolios turning the expanded customer base into recurring opportunities and delivering the growth Intermap has outlined in its 2027 guidance.
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