Data abundance but limited insight
Organisations often struggle to use valuable multi-source observations.
Sovereign Intelligence from Space
Tap into the power of Earth Observation to supercharge insights in a data-driven world.
80% of all organisational data has a spatial component. Only 10% of organisations use it. Leaving this data unmapped gives most analyses a massive blind spot.
actinia copilot responds to natural-language queries with rapid, action-ready geospatial information – built on Open Source software, Open Weight AI and user-friendly interfaces. Get maps, data and decisions in standard geo formats without vendor lock-in.
AccuracyUp to 95% in remote-sensing analyses
LatencyAnswers in minutes, not days
StackOpen Source / Open Weight
MaturityProduction-ready
MARKET
Petabytes of data but too little consumed
A €207bn geospatial market sits on Earth observation data most industries cannot fully exploit. Incumbent platforms are costly, inflexible and built around proprietary dependency.
Deep analytical capability is scarce
A shortage of geospatial engineers slows workflows from infrastructure planning to disease prediction.
Vendor lock-in and token taxes
Closed stacks and product dependencies create opaque pricing, weak auditability and unacceptable sovereignty risk.
Solution
Know your world
What was, what is, and what will be: Fuse Earth Observation, GIS and domain knowledge with custom-built agentic AI into action-ready answers.
Exploit geo-data abundance
Access a new dimension of analysis with petabytes of space-based and ground-sourced data.
Supercharge decision-making
Replace weeks of GIS engineering with conversational workflows, traceability and reproducible outputs.
Empower digital sovereignty and security
No token tax, no Big Tech dependency, no black-box geoprocessing. Full transparency for regulated organisations.
Technology
Natural language in → Standard geo outputs out
A dedicated agentic LLM interprets the task, routes to the geoprocessing engine, and then returns maps, files and explanations.
01
Ask
User asks a spatial question in plain language
02
Route
Geo-agent decomposes the task and launches the right processing chain
03
Fetch
Another agent retrieves geospatial, statistical and textual sources
04
Compute
Data is processed by algorithms specifically designed for geospatial topics
05
Deliver
Maps, data packages, APIs and a decision-ready explanation for the user
Applications
From query to map in minutes
Workflows span infrastructure resilience, climate change impact, agricultural risks, disaster management and response, defence (situational awareness), maritime (anomaly detection), and more.
Use case 01 · Infrastructure
Disaster response and recovery
“Identify route for flood disaster response, showing inundated buildings, surface sealing, accessible roads and estimate of population needing evacuation.”
Outcome: Near real-time mapped scenarios of catastrophe with supporting layers of infrastructure damage and recovery actions.
Use case 02 · Finance & insurance
Agricultural risk / crop insurance
“Which farms face adverse crop yield impact from climate change, and how much will the insurance premium change for each?”
Outcome: Interactive maps depicting changes in insurance premia and crop yield
Why us
Built differently – your very own geoprocessing & AI
Fusion-native data layer, agentic reasoning & open deployment. Not a chatbot making maps; it is geoprocessing made conversational.
01
We are fusion-native
Competitors often provide single-source analytics.
02
We liberate customers
Proprietary stacks lock customers into token taxes and opaque workflows.
03
You own the geoprocessing and AI
Most alternatives rent both from Big Tech, exposing customers to dependency risk.
Unique selling proposition
Integrated. Efficient. Sovereign.
An interoperable platform designed to make advanced remote sensing and AI accessible while preserving control, transparency and reproducibility.
Open Source / Open Weight SaaS
- Standardised across platforms and verticals
- Collaborative ecosystem and faster innovation cycles
- Auditable from kernel to model weights
Integrated geospatial AI
- Communicate with data in natural language
- Assimilate massive remote-sensed and GIS datasets
- Deliver context-rich, decision-ready outputs
Resource and cost efficient
- 80% of code re-used across applications
- Scalability with robust quality control
- Material customer time and cost savings
Industries
Where actinia copilot works
Verticals extending across every industry touched by Earth Observation and GIS.
Infrastructure monitoring and impact
Digital twins · Remote sensing · Planning
Civil engineering, energy and water utilities, government planners, regulators
Flood, landslide, drought and climate
Risk data · Real-time monitoring
Insurers, banks, agribusiness, governments and NGOs
Defence, security and maritime
Situational awareness · Anomaly detection
Defence, intelligence and law-enforcement agencies
Public health
Disease surveillance · Healthcare planning
Public health bodies, NGOs, healthtech firms and multilateral agencies
Actinia copilot: Trusted by
Development partners and customers
Backed by the German Space Agency and seed-funded by the European Space Agency, with development partnerships across infrastructure, defence, natural resources and health.
European Space AgencyStrategic partner
German Space Agency · DLRBacker
German ArmyDefence pilot
Large Telecoms CompanyFibre optic mapping
Regional Assoc. RuhrRegional planning
City of Istanbulclimate hazard mitigation
German Archaeological Inst.Heritage analytics
World Health OrganisationPandemic preparedness & response
German Federal Agenciesautomation & operational efficiency
Metaplanetdigital twin developer
publicplanOpen Source solutions developer
ERNST:ING Geotechnical & structural engineering
CISS TDIGeodata analytics
cronnOpen source software
Founding team
Two decades in geospatial & AI
Specialists in geoinformatics, AI and environmental engineering – including the 20-year Chair of GRASS GIS and a founding board member of the OSGeo Foundation.
Tushar Sethi
Chief Executive
Leads the company, combining 20+ years of experience across geospatial, environmental and finance sectors with the delivery of complex national and trans-national scale geospatial applications.
Oriana Coku
Chief Operating Officer
Drives operational strategy and organisational effectiveness, applying aerospace governance and regulatory expertise to scale the company's mission in military and civilian environments.
David Golchinfar
Head of AI Research
Manages R&D for customised AI models, resource-efficient training and inference architectures, robotics and cognitive UX.
Daryoush Vaziri
Head of Artificial Intelligence
Leads LLM-based enterprise solutions and open-source agentic RAG systems for deterministic accuracy and cost-efficient deployment.
Markus Neteler
Head of Geospatial
Directs geospatial programming, analytics and platform development; founding OSGeo board member and long-time GRASS GIS chair.
Hinrich Paulsen
Head of Business Development
Oversees technology and business strategy, drawing on deep GIS commercialisation and remote-sensing venture experience.