Geofuchs
AI-powered geospatial analysis
ESA BIC Finland — March 25, 2026
Team & Experience
Jens Kreier — CEO/CTO
  • Spatial & Full-Stack Expert: Full-stack developer specialising in spatial data systems, advanced visualisation, and backend data pipelines.
  • Senior Consultancy: Senior Full-Stack Consultant at Rakettitiede — delivered R&D projects including an air quality dashboard for a major German car manufacturer in Asia.
  • Systems Architecture: Senior Software Architect with cloud-native AWS experience and multidimensional data UI tooling.
  • 3D & Advanced Visualizations: Highly experienced in building tools for multidimensional data and utilizing rendering frameworks like Unreal Engine and Deck.gl
Jarkko Nieminen — COO
  • B2B Integration & Scaling: Built digital data backbones for enterprise portfolios across Finland, Sweden, and Denmark.
  • Serial Entrepreneur: Track record of scaling digital startups from zero to market leadership, driving Go-To-Market strategy and operations.
  • Distribution Lead: Leads our major B2B consultancy partnership (200 consultants, 10 offices).
The Problem
Thousands of municipalities. One spatial question each. Nobody gets an answer today.
1
Fragmented Workflows
Work split across desktop GIS, scripts, email, and consultants — with limited reuse between projects.
2
Days Lost Per Report
Planning, environment, and resilience teams spend days combining datasets, running analyses, and packaging results.
3
Massive Scale
~92,000 local administrative units across the EU — small productivity gains compound fast.
Solution & Value Proposition
Ask in Finnish, Swedish or English → the system builds a reproducible GIS workflow with an interactive map layer, written explanation, and traceable sources and parameters — defendable, repeatable, auditable.
Days → Minutes
Manual work compressed dramatically for common spatial queries.
No GIS Expertise Required
Common queries answered without specialist knowledge.
Exports to Existing Tools
Not a rip-and-replace — can integrate with current GIS environments
AI Act Ready
Traceability, transparency, and human oversight built in by design
Space data is the backbone
Without it, the platform loses temporal analysis, change detection, and rural coverage.
Satellite data is architecturally essential. Without satellite access, Geofuchs loses change detection, environmental monitoring, and real-time event response — and becomes only a smarter map viewer.
Space Layer
Sentinel, Copernicus DEM
National Layer
MML, SYKE
Municipal Layer
Local datasets & planning data
Technology & IP
A lightning-fast, in-memory architecture bridging local spatial data with live Earth Observation.
Zero-Latency GIS Engine
Executes massive, multi-step spatial analyses entirely in-memory — no bottlenecks, no waiting.
AI-Driven Orchestration
Instantly translates natural language into optimised, self-healing analytical workflows.
Effective Binary Data Streaming
Streams complex spatial results to the 3D map at a fraction of traditional data transfer sizes.
Dynamic Satellite Routing
Automatically detects Earth Observation queries and offloads processing to live remote space backends.
Unified Data Fusion
Merges local authoritative data with real-time national APIs and satellite imagery in a single session.
Legal protection
Potential patent cases identified and IPR consultation on-going with dedicated legal advisers.
Trademark registration in progress.
Demo
Demo
Market Opportunity & Competitive Position
We complement — we don't compete
Public Sector Channel
Nordic entry wedge
92,000 local administrative units across the EU
B2B Channel
GIS consultancy market — established client networks
Reaches private sector organisations at scale
Revenue grows faster than headcount
Enterprise GIS
Built for specialists → We free the specialists to do higher-value work
Generic AI / LLM
No spatial execution → We execute and deliver results you can defend
Data-Only Competitors
Data without context → We connect spatial data to real-world decisions
Business Model: Dual revenue streams
Revenue Model
Public Sector Channel
Annual licensing
Tiered by organisation size
B2B Channel
Via major B2B GIS consultancy partnership
Scalable across enterprise partners
Financial Model
Gross Margin
~80%
Break-even
8–10 customers
Runway
12+ months on ESA BIC funding
Burn Discipline
Hiring gated by customer milestones
Risk Mitigation
Procurement Cycles
B2B partnership bypasses direct cold-selling; pilots validate ROI
Defensible Outputs
Every result traceable and explainable
User stays in control of every decision
Activity Proposal & Execution Milestones
Vision: Copernicus intelligence for every European municipality
Q2 '26: Sentinel Hub + openEO Integration
(25h ESA | €25K)
→ Production RS pipeline
Q3-Q4 '26: 3 Municipal Deployments
(15h ESA | €20K)
→ Measured time savings
Q4 '26: TorchGeo + SAR Change Detection
(30h ESA | €30K)
→ ESA benchmarked automation
Q1 '27: Accuracy Validation
(10h ESA | €15K)
→ Validated pipeline
Deliverables
3 active municipal deployments with measured ROI
Validated Earth Observation workflow module
Nordic GTM Pack: Ready for our B2B partners to scale
Thank You
Questions?
Annex I: Competitive Positioning Overview
No competitor scores across all 6 dimensions simultaneously. This is our defensible positioning gap.
Annex II: System Architecture (Part 1)
Geofuchs Hydra-8 is built on a robust, scalable architecture designed for high-performance geospatial intelligence.
Pipeline Engine
Single orchestrator converts natural language into executable geospatial workflows.
  • Qwen3.5-9B (xLAM merged base + LoRA v6, INT8) generates JSON DAG tool chains
  • DAG schema validation with automatic repair for malformed plans
  • DuckDB executor runs CTE-fused SQL chains per conversation session
  • 99 pipeline tools: vector, raster, routing, geocoding, Earth Observation
Semantic Resolution
Trilingual intent understanding (Finnish, Swedish, English) with multi-source context building.
  • Qdrant vector search across 1,144 indexed layers (similarity threshold 0.3)
  • Memgraph knowledge graph for entity relationships and spatial reasoning
  • Qwen2.5-1.5B SLM with RAG-grounded intent classification
  • Geographic guardrails reject non-geospatial or unresolvable queries
LLM Infrastructure
Self-hosted inference with fine-tuned models optimized for geospatial tool-calling.
  • vLLM v0.17.1 serving Qwen3.5-9B with BitsAndBytes INT8 quantization
  • LoRA adapter (v6) specialized for pipeline DAG generation
  • Multi-turn conversation manager with session-scoped DuckDB state
  • Arize Phoenix + OpenTelemetry for LLM observability and tracing
Annex II: System Architecture (Part 2)
Completing the Geofuchs Hydra-8 architecture with data and infrastructure layers.
Data Layer
Unified spatial querying across national providers and real-time feeds.
  • PostgreSQL/PostGIS: spatial data + Paavo postal statistics
  • TimescaleDB: time-series from Fintraffic TMS stations and road weather sensors
  • Redis: response and layer caching
  • WFS/WMS clients: live fetching from MML, SYKE, GTK, HSY, Digiroad, Fintraffic
Infrastructure
Kubernetes-native deployment with full observability.
  • k3s cluster with base + overlay manifests
  • FastAPI + Uvicorn API server with SSE streaming
  • Prometheus metrics, OpenTelemetry distributed tracing
  • Local container registry, versioned deploys via bump-my-version
Annex III: Data Coverage (Part 1)
Geofuchs Hydra-8 provides access to 1,144+ indexed geospatial layers across Finland and Sweden, delivering unparalleled data breadth for municipal intelligence.
At a Glance
Headline numbers for the entire data platform.
  • 1,144+ semantically indexed layers in Qdrant, 1,214 metadata entries, 307 routed datasources
  • 11M+ spatial features in PostGIS across 191 tables and 12 schemas
  • 7+ GB local PostGIS storage (6.5 GB MML topographic alone, 630 MB forest data)
  • 15 data providers (7 Finnish, 8 Swedish), 30 openEO satellite products, 3 satellite constellations
  • 3 routing tiers: PostGIS (<100ms), WFS (1-5s), openEO (satellite)
National Topographic & Cadastral
Complete Finnish land cover from the National Land Survey (MML).
  • 5.6M buildings, 3.8M road segments, 150K water bodies, 20K railway lines (PostGIS, EPSG:3067)
  • Cadastral boundaries, administrative regions, place names — 130 tables in the mtk schema alone
  • Metsäkeskus forest data: 860K forest stands, 244K forest mask polygons, METE habitats
Urban & Municipal
Detailed city-level data for the Helsinki Metropolitan Area.
  • Helsinki: buildings, addresses, green areas, tree registry, zoning, waterways, traffic volumes, public services (17 tables)
  • HSY: land cover, road network, regional buildings, vegetation (5 tables)
  • Espoo: tree inventory (4 tables)
  • LIPAS: national sports facilities, outdoor routes, recreation areas
Statistics & Demographics
Socioeconomic indicators from Statistics Finland.
  • 3,354 postal codes with 89 indicators: population, income, education, employment, housing (Paavo)
  • 1km population grid, municipal boundaries
  • Joinable with spatial geometries for thematic mapping
Annex III: Data Coverage (Part 2)
Completing Geofuchs Hydra-8 data coverage with real-time, satellite, and Swedish data sources.
Real-Time & Transport
Live sensor networks and infrastructure from Fintraffic, FMI, and Digiroad.
  • Traffic measurement stations (TMS), road weather sensors, traffic cameras, EV charging stations, railway stations.
  • Marine vessels via AIS tracking.
  • FMI: weather observations, road weather, marine data (WFS).
  • TimescaleDB ready for time-series polling when enabled
Earth Observation
Satellite imagery processed server-side via openEO (CDSE VITO backend).
  • Sentinel-2 (10m): 10 spectral indices — NDVI, NDWI, NBR, EVI, SAVI, and more.
  • Sentinel-1 (20m): SAR backscatter and coherence for flood and subsidence detection.
  • Sentinel-5P (1km): atmospheric trace gases — NO2, SO2, CO, O3, CH4, aerosol.
  • Temporal composites, change detection, cloud-filtered mosaics.
  • STAC catalog (Element84): Sentinel-2 + Landsat COG access with local caching
Swedish Coverage
8 national providers with hybrid PostGIS/WFS routing for major cities.
  • Lantmäteriet: properties, buildings, municipalities.
  • SGU: bedrock, soil types; Naturvårdsverket: nature reserves, national parks.
  • Skogsstyrelsen: forest land; SMHI: water bodies; SCB: population grid.
  • Local PostGIS for Stockholm, Gothenburg, Malmö — WFS fallback elsewhere