Institutional scientific discovery infrastructure for climate, space, and critical systems
Northflow builds institutional-grade evidence infrastructure that converts large-scale, uncertain datasets into reproducible, decision-ready intelligence. Our core engines — HGE (Hypothesis Generation Engine) and PSE (Planetary Sensing Engine) — operate across astronomical observation, maritime surveillance, humanitarian forecasting, Earth observation, and renewable energy intelligence. Validated at scale. Deployed in production.
Built in Norway. Operational across multiple instrument adapters. Published on arXiv and OCHA Humanitarian Data Exchange. Designed for European institutional environments.
Four pillars of institutional evidence infrastructure
Core capabilities defining Northflow's approach to structured discovery and verifiable knowledge production.
Structured discovery
Systematic hypothesis generation and prioritisation across complex observational spaces. Explicit representation enables formal evaluation, institutional review, and cross-domain application. Validated across astronomical, maritime, climate, and quantum physics domains.
Verifiable evaluation
Deterministic execution producing identical results under identical conditions. Full replay capability ensures any finding can be independently verified. Ed25519-signed evidence bundles and SHA-256 integrity hashes as standard across all domain adapters.
Operational resilience
Architectures designed for regulated, mission-critical, and long-horizon institutional contexts. Governance modes, failover mechanisms, and continuity planning from inception. Operational across deployed systems including maritime surveillance and humanitarian forecasting.
Research integration
Applied research methodologies bridging structured discovery, institutional evidence systems, and domain-specific decision support. Published methodology (arXiv:2603.09425) and validated across astronomical observation, quantum physics, and Earth Observation datasets.
THE ENGINE
Powered by HGE - Hypothesis Generation Engine
HGE is an instrument-agnostic system for structured, machine-driven hypothesis discovery and reproducible evaluation. It converts complex observational data into verifiable evidence through explicit hypothesis representation, information-gain-driven prioritisation, deterministic execution, and uncertainty-aware provenance tracking.
The engine is domain-agnostic by architecture. It has been validated on astronomical catalog data (Gaia DR3 — 1.8 billion sources), deployed for maritime intelligence (MARVIS — 25+ European subsea assets), operational in humanitarian forecasting (CERES — 43 countries), and confirmed across quantum physics experiments (OQTOPUS — University of Osaka). Future domains are structurally enabled without requiring engine modification.
Every HGE execution produces signed evidence bundles - tamper-resistant, auditable artifacts designed for institutional review, regulatory scrutiny, and cross-border verification.
- Structured hypothesis search with explicit representation
- Deterministic execution with Ed25519-signed evidence artifacts
- Designed for institutional reproducibility and auditability
- Operational across 8 instrument adapters in 7 domains
- Published methodology — arXiv:2603.09425
THE DATA LAYER
Powered by PSE - Planetary Sensing Engine
PSE is Northflow's open-source platform for Earth observation data fusion. It ingests data from multiple satellite, weather, and environmental data sources, normalizes them into a unified spatiotemporal model, and serves the result through a single REST API. When sources overlap, PSE uses quality-weighted fusion to blend them based on reliability and recency. Every response carries full provenance metadata.
PSE senses. HGE thinks. Domain adapters connect to whichever engines they need.
- Six live data connectors — ERA5, Open-Meteo, Global Solar Atlas, Sentinel-2, OpenStreetMap, World Bank
- Quality-weighted multi-source fusion with conflict detection
- Pangeo-native — xarray, Zarr, Dask compatible
- Full provenance tracking on every API response
- Open source — Apache 2.0
- Live at pse.northflow.no
PROOF
Operational systems. Published research. Verified results.
Every capability presented on this site is backed by a working implementation or documented validation artifact. Northflow follows a strict proof-before-claim discipline.
CERES — Global Famine Risk Forecasting
Operational · Published43-country famine risk forecasting with weekly 90-day IPC Phase 3+/4+/5 probabilistic forecasts. Published on OCHA Humanitarian Data Exchange. Peer-reviewed methodology: arXiv:2603.09425.
Gaia DR3 — Astronomical Hypothesis Discovery
Operational220,656 candidate companions identified from 1.8 billion Gaia DR3 sources. 7 hypothesis templates. Includes LSPM J0302+0426W — a potential hierarchical triple system with NSS orbital solution. Full deterministic replay.
MARVIS — Maritime Infrastructure Threat Detection
Operational5-layer Bayesian inference pipeline monitoring 25+ European subsea infrastructure assets. 7 hypothesis classes including 3 novel detection methods. Retroactive validation against two confirmed European subsea infrastructure incidents. Ed25519-signed evidence bundles.
OQTOPUS — Quantum Physics Validation
Operational26 autonomous experiments across 3 phases on University of Osaka OQTOPUS quantum processing unit. Depth invariance hypothesis confirmed at 90% confidence. Validates HGE's instrument-agnostic architecture across astronomical and quantum physics domains.
Evidence Verification System
Operational5-step verification contract with SHA-256 evidence hashes, Ed25519 digital signatures, deterministic replay, and audit invariants. Tested against 6 adversarial attack vectors. Configurable governance modes (disabled / logging / enforced).
DOMAIN ARCHITECTURE
Two engines. Multiple domains. Zero engine modifications per adapter.
HGE and PSE are domain-agnostic by architecture. Each application domain is a structured adapter that connects to whichever engine it needs — HGE for hypothesis generation, PSE for Earth observation data fusion. Domains are activated based on institutional validation milestones and partnership readiness.
| DOMAIN | SYSTEM | STATUS |
|---|---|---|
| Astronomical Observation | Laplace Discovery / HGE Core — 220,656 candidates from 1.8B Gaia sources | Operational |
| Humanitarian Forecasting | CERES — 43-country IPC famine risk forecasting, published on OCHA HDX | Operational |
| Maritime Intelligence | MARVIS — Subsea infrastructure threat detection, 7 hypothesis classes, 25+ assets | Operational |
| Quantum Physics | OQTOPUS Adapter — 26 experiments, depth invariance confirmed, Osaka University | Operational |
| Energy Intelligence | FLUX — Renewable energy siting, yield prediction, grid analysis, and climate risk assessment. Built on PSE. Indonesia, Kenya, Vietnam. | Operational |
| Conflict Monitoring | ORION — Satellite + OSINT intelligence fusion, 12 automated jobs, 8 data sources | In development |
| Deforestation Intelligence | OFW — EUDR compliance, cause attribution, actor hypothesis, 15-min pipeline | In development |
| Longevity Biology | AION — Open hypothesis generation for longevity, cancer, and the biology of aging | Testing |
| Women's Health Research | ATHENA — Hypothesis publishing, patient signals, trust telemetry | Pre-launch |
| Energy Infrastructure | EFOS — European energy grid flexibility and coordination | Research stage |
Domain adapters connect to HGE, PSE, or both without engine modification. Evidence bundles, deterministic replay, and governance modes operate identically across all domains.
Architecture designed for European regulatory environments
Northflow systems are developed with structural alignment to relevant European regulatory and governance standards. Standards references describe design intent and target operating models. Formal certifications are pursued and verified where applicable.
ISO/IEC 27001 - Information security management design alignment
Structural design alignment for institutional security control models.
GDPR - European data protection regulation architecture
Design alignment for lawful processing and governance-ready data handling.
NIS2 Directive - Network and information systems security design principles
Architecture patterns aligned with resilience and incident governance intent.
DORA - Digital Operational Resilience Act framework alignment
Operational resilience design alignment for critical digital service contexts.
Standards references describe design alignment and target operating models. Formal certifications are pursued and verified where applicable.
Advanced research in climate, space, and critical systems
Northflow develops structured methodologies for institutional evidence generation across climate resilience, Earth Observation, maritime intelligence, and astronomical observation domains. Research outputs include published methodology (arXiv:2603.09425), operational validation reports, and applied framework documentation.
Explore research capabilities →Policy framework research
Analysis of regulatory environments impacting climate, space, maritime infrastructure, and institutional data systems.
Systems architecture
Development of verifiable infrastructure patterns for mission-critical and research environments. Validated across 8 instrument adapters.
Academic collaboration
Engagement with research institutions to validate and publish methodological advances. Completed evaluation with University of Osaka (OQTOPUS). Data published on United Nations OCHA Humanitarian Data Exchange. ESA InCubed application active.
Institutional engagement
Formal dialogue pathways for qualified institutional stakeholders.
Government entities
Infrastructure and resilience systems aligned with institutional requirements. Deployed systems serving humanitarian forecasting (CERES — published on OCHA Humanitarian Data Exchange) and maritime infrastructure protection (MARVIS — ESA InCubed track). Designed for evaluation within European space, climate, and governance frameworks.
Research collaboration
Academic and research partnerships in climate resilience, astronomical observation, Earth Observation methodology, and structured discovery systems. Published methodology and operational validation across multiple scientific domains.
Institutional stakeholders
Mission-critical infrastructure consultation within regulated environments. Evidence infrastructure evaluation and governance framework assessment. NIS2-aligned output formats available.
Research dialogue · Institutional collaboration · Funding discussions