T-Kartor USA Hires Jonathan Ripley

February 22, 2022

T-Kartor USA is proud to announce Jonathan Ripley as Manager of Strategic Partnerships. Mr. Ripley has a collective 32 years of geospatial experience serving both commercial GIS and federal GEOINT clients. Mr. Ripley’s expertise has encompassed a myriad of geospatial products and services while working for two full‐service photogrammetric firms, a premier infrastructure and consulting firm, and the National Geospatial‐Intelligence Agency (NGA).

“We are thrilled to have Jon joining our T-Kartor USA team. His proven leadership and decades of experience with federal GEOINT and commercial GIS clients will aid in expanding our national, military, and civil partners and bolster our continuing growth in the geospatial industry”, said T-Kartor USA CEO Simon Bailey.

Mr. Ripley began his GEOINT involvement after selection for the Digital Nautical Chart Program (DNC) in 1993 as part of the validation and testing team that evolved into a lead on‐site quality assurance reviewer for the NGA. Beginning in vector production, before transitioning to quality assurance and then into management, Mr. Ripley has maintained his comprehensive knowledge of process methodologies for complex global feature rich datasets. Mr. Ripley is excited to join the T-Kartor USA team, and his combination of experience provides an established solutions-based approach, proven situational perspective, and customer satisfaction awareness.

T-Kartor Iris™ is Interoperability Without Compromise

By Anthony Calamito, Chief Strategy Officer, T-Kartor • July 11, 2025

When we started working on the next generation of Iris, the goal wasn't to build just another content management platform or data portal. We were trying to solve a deeper, more persistent problem that nearly every organization inevitably faces: the inability to connect information from systems that were never designed to work together in the first place. Whether a government agency manages sensitive spatial data or a coalition of partners responds to a crisis across borders, the challenge is always the same. Data is often stuck in silos, systems are traditionally built by vendors using proprietary formats, and people who need answers fast are left waiting while teams scramble to translate, convert, and clean up the mess. This was the pain point Iris was designed to eliminate.