Executive Overview and Business Model

Orbify was founded by Earth Observation engineers, data scientists, and industry leaders—including Jakub Dziwisz, Ewelina Kalemba, and Michal Wieczorek—to bridge the gap between petabytes of raw orbital sensor streams and enterprise decision-makers. Historically, leveraging satellite imagery required dedicated GIS (Geographic Information System) specialists, custom data-processing pipelines, and lengthy processing timelines.

Orbify addresses this friction by providing an automated, AI-driven Geospatial Data Platform (GDP). By combining optical, synthetic-aperture radar (SAR), and LiDAR data with proprietary machine learning models, Orbify allows organizations to monitor parcels of land, verify supply chain compliance, track physical asset readiness, and inspect linear infrastructure at scale.

Core Operational Domains and Target Markets

Orbify operates across three primary verticals:

1. Environmental and Anti-Deforestation Compliance: Providing supply chain actors with verified plot-level deforestation analytics to comply with global regulations such as the EU Deforestation Regulation (EUDR).
2. Nature-Based Solutions and Carbon Markets: Delivering measurement, reporting, and verification (MRV) data for forestry preservation, afforestation/reforestation projects, and biomass carbon accounting.
3. Energy Infrastructure and Commodities: Monitoring transmission and distribution grid corridors, checking site readiness for power generation/datacenters, and tracking maritime LNG flows.

Products, Modules, and Services

Orbify delivers its technology through modular web-based portals, automated dashboards, and developer-accessible APIs.

1. Compliance-Orb (EUDR and Supply Chain Due Diligence)

To satisfy stringent global environmental mandates—specifically the European Union Deforestation Regulation—Orbify provides specialized compliance automation tools: * Plot-Level Geolocation and Verification: Allows commodity traders, consumer goods manufacturers, and agribusinesses to upload geographic boundaries (polygons or coordinates) of supplier plots (e.g., soy, palm oil, coffee, cocoa, rubber, timber). * Deforestation Cutoff Analysis: Automatically applies historical satellite imagery across baseline cutoff dates (such as December 31, 2020) to identify whether forest degradation or land conversion has occurred. * Risk Scoring and Reporting: Generates regulatory-ready audit reports, risk indicators, and verifiable due diligence packages that integrate directly into enterprise supply chain software and distributed ledgers.

2. Nature & Carbon Project Intelligence (MRV Suite)

For project developers, institutional investors, and carbon registries, Orbify serves as an independent monitoring and verification engine: * Above Ground Biomass (AGB) Estimation: Uses calibrated machine learning algorithms integrating spaceborne LiDAR and optical data to calculate vegetative biomass volume and carbon stock fluctuations over time. * Canopy Height and Density Analysis: Measures tree height profiles, canopy cover density, and vegetation health metrics (such as NDVI, NDRE, and vegetation stress indexes). * Forest Disturbance and Gain Tracking: Classifies land cover into categorical indicators (forest, urban, water, cropland, bare soil) and maps longitudinal changes in canopy cover to verify project additionality and baseline stability. * Environmental Risk Factors: Monitors exogenous project threats, such as wildfire risks, drought conditions, thermal stress, soil erosion, and adjacent encroaching infrastructure.

3. Grid and Critical Infrastructure Monitoring

Orbify equips utility network operators, regional distribution system operators (DSOs), and engineering contractors with remote inspection capabilities across extensive asset footprints: * Corridor Vegetation Encroachment: Utilizes high-resolution imagery and 3D canopy models to count individual trees, measure lateral clearance to transmission lines, and flag danger trees liable to trigger outages during storm events. * Linear Infrastructure Change Detection: Identifies unauthorized building, heavy equipment movement, and structural encroachment along rights-of-way. * Targeted Maintenance Scheduling: Converts raw inspection alerts into prioritized work zones, reducing the frequency of hazardous and expensive manual aerial flyovers or on-the-ground foot patrols.

4. Energy Flow and Site Readiness Intelligence

Orbify supports commodities traders, energy investors, and industrial developers: * LNG Flow and Vessel Tracking: Combines satellite synthetic aperture radar (SAR) with automatic identification systems (AIS) to monitor global liquefied natural gas (LNG) carrier movements, berth occupancy, terminal congestion, and draft changes for cargo volume estimates. * Site Installation and Capacity Validation: Evaluates construction status and earthwork readiness for utility-scale solar farms, wind developments, and large-scale industrial consumers (such as AI datacenters), exposing gaps between reported construction schedules and physical ground reality.

Technology Stack and Scientific Methodology

Orbify’s analytics engine relies on multi-source sensor fusion, multi-spectral band analysis, and automated machine learning pipelines:

• Sensor Fusion: Ingests open-access and commercial satellite constellations, including optical imagery (e.g., ESA Sentinel-2, Landsat), radar sensors (e.g., Sentinel-1 SAR for cloud-penetrating change detection), and orbital LiDAR data (e.g., NASA’s GEDI mission).
• Machine Learning Pipelines: Deploys supervised learning architectures—including ensemble Random Forest classifiers, convolutional neural networks, and regression models—to process surface reflectance, spectral indices, and vertical structure returns.
• Spatial Cloud Processing: Operates directly on cloud-native geospatial engines (such as Google Earth Engine and proprietary cloud microservices), minimizing data ingress/egress latency and enabling near-real-time results across millions of hectares.
• API and Integration: Exposes RESTful endpoints for enterprise ERP, supply chain risk management platforms, and GIS workflows (GeoJSON, GeoTIFF, vector exports), allowing organizations to embed spatial insights directly into existing business processes.