
Verteidigungstechnologie-Unternehmen stehen vor einer Lücke zwischen Roadmap und Realität: GIS-Expertise, die schwer einzustellen ist, Generalunternehmer, die in Haushaltsjahren statt in Sprints liefern, und Laborannahmen, die dort versagen, wo die Konnektivität eingeschränkt und das Signal umkämpft ist.
The answer is GIS-native capability built for field conditions. Our engineers deliver ISR-to-map pipelines, common operating picture dashboards, GPS-denied positioning layers, and offline-first field applications; our production team processes terrain models and classified point clouds under a defined handling protocol, connecting sensors, terrain, and operators on one picture, with every line of code yours on handover.

Six operational failures we see across this industry. If three of them are yours, we should talk.
Standard vendor workflows do not meet the bar. Processing requires a defined protocol from intake.
Procurement cycles outlast the need. DEMs and classified point clouds cannot wait a fiscal year.
Coordinate systems, terrain analysis, and spatial processing are hard to hire and slow to grow.
Engagement models built for billion-pound programmes do not fit a startup's sprint cadence.
Degraded connectivity and contested signal are operating conditions, not edge cases.
Tools that require a network die at the moment they matter most. Offline-first is a requirement, not a feature.
UK-registered · English-law contracts · NDA from intake · Engagements by introduction.
We build the GIS layer of your platform on sprint cadence: sprint-scoped prototype to production-grade field system, every line of code yours on handover.

Software & Plattformen
Raw flight data turned into something a planner can actually query. Georeferenced terrain models, orthophotos, and change-detection layers from UAV imagery, so what comes off the aircraft becomes a usable spatial output in the loop, not a backlog of frames waiting for processing.
Input: UAV imagery
Output: Queryable spatial output
Many feeds, one map everyone is working from. Multi-source, multi-domain sensor fusion into a single operational picture, delivered to web and mobile and scoped to a sprint, so situational awareness comes from one shared view instead of data sitting in separate silos.
Input: Sensor feeds
Output: One picture
Spatial awareness that holds where the signal does not. Positioning built for degraded and contested environments, engineered against field conditions rather than lab assumptions, so the product keeps working at the moment GPS stops being reliable.
Input: Contested signal
Output: Positioning layer
Tools built for zero connectivity from the start, not patched for it later. Full offline operation with mesh sync on reconnection, and terrain analysis and line-of-sight modelling built in, so the application works when the network is gone and catches up the moment it returns.
Input: No network
Output: Working tools
Disparate sources fused into one queryable 3D environment for planning and awareness. LiDAR, BIM, and live sensor data combined, with OSINT layers carrying structured attribution and an audit trail, so planning runs on one coherent environment, with every layer's origin accounted for.
Input: Multi-source data
Output: Queryable 3D environment
Every line of code, every repository, every schema is yours on handover. No retained IP. We are the engineering team: we build, ship, and hand over. We do not consult and walk away.
Book a Technical Session →Need geospatial data processing: terrain models, classified point clouds, or orthophotos? See our Data Production services for Defence.
Outcomes
Scope in one technical session, no multi-year onboarding.
No retained IP, no SDK lock-in.
Offline-first, mesh sync, contested-signal environments.
Multi-source fusion on a single map interface.
DEMs and classified point clouds in days.
Defined protocol, NDA, secure transfer.
Technology stack
Platform-agnostic, open and defence-recognised standards: production-grade, auditable on handover, deployable on customer infrastructure or air-gapped sites. This is the working stack we standardise on for defence engagements; we adapt to your target environment and security requirements.
Mission data of record: versioned, query-tuned, deployable in air-gapped environments.
Raw flight, LiDAR and ISR feeds turned into georeferenced terrain, orthos and change-detection layers.
OGC-compliant publication for COP dashboards and downstream mission systems.
Multi-domain fusion in the browser: performance-tuned, theme-able, role-aware.
Open standards by default. Source code, schemas and repositories transfer on handover, with no SDK lock-in and no retained IP.
GeoAI & ML for Defence. Change and object detection at scale, exception-only review. Every output measured against a benchmark and owned by a BSc+ engineer.
See the full GeoAI & ML stack
Why offline-first architecture is the baseline for spatial systems that cannot assume connectivity.
Fusing sensor ground truth with satellite observation into a single validated operational picture.