Turning Earth Observation data into actionable insights with AI
Enabling Better Risk Decisions
We help organisations unlock the value of Earth Observation, Geospatial Intelligence and AI through tailored solutions, capacity building and data-driven risk intelligence.
Bridging the EO Adoption Gap, Unlocking the Value
Earth Observation (EO) and AI have enormous potential to transform how we understand and manage risk. Yet for many insurers, reinsurers, banks, and financial institutions, the primary challenge is not data availability but adoption.
Limited organisational awareness, a lack of internal EO expertise, difficulties integrating new data sources into existing workflows and concerns around AI transparency often prevent organisations from realising the full value of these technologies.
SPACE-SHIP helps bridge this gap through tailored workshops, executive briefings, capability-building programmes, and focused pilot projects. We work with teams to identify relevant use cases, explore EO and AI capabilities, develop and validate risk intelligence or parametric concepts, and demonstrate their value in a practical business context without requiring specialist EO expertise in-house from day one.
We build solutions that work; in your context, at your scale, to create measurable impact.
Domain-Driven, Not Generic
We combine Earth Observation, AI, geospatial analytics and industry expertise to solve complex challenges across sectors. Every solution is designed around real business needs, for meaningful impact and long-term value.
Tailored, Not Off-the-Shelf
We co-design every solution with you to solve your specific challenges, not force-fit a platform. We also act as an external R&D partner for our clients, supporting their internal teams with specialist expertise, rapid prototyping, and custom solution development.
Built to Scale, Ready to Integrate
From technical studies, risk assessments, dashboards and web portals to GIS-ready datasets, APIs and automated monitoring services, we deliver solutions that can be directly integrated into operational and decision-making workflows.