Open Infrastructure
NatureOS is open computational infrastructure for ecology and the built environment. It provides the data, models, and tools developers, researchers, designers, and governments need to understand and design living systems. Built in the UAE. Designed to scale globally.
Computational Core
Deterministic. Testable. Scientifically-grounded. Each engine operates on data models — not specific datasets — ensuring auditability and reproducibility.
Multi-criteria species-site matching based on climate, soil salinity, thermal tolerance, and ecosystem type.
Evapotranspiration modeling and irrigation demand estimation for arid environments.
Shannon, Simpson, Pielou evenness, and native species ratio for planting designs.
Above and below-ground biomass carbon plus soil organic carbon sequestration over time.
Pairwise compatibility, competition, facilitation, and allelopathy analysis.
Multi-objective evolutionary optimization (NSGA-II) balancing biodiversity, water, carbon, and cost.
Shade provision and evapotranspirative cooling estimates for urban landscapes.
Built For
City-wide ecological planning, compliance automation, sustainability reporting.
Computational species selection replacing static planting guides. QGIS integration.
Open-source, peer-reviewable engines. Community-contributed ecological data.
REST API for ecological computation. Integrate into CAD, BIM, GIS, digital twin platforms.
Open source under Apache 2.0. Community data is free. Commercial services for cloud compute, certified data, and enterprise workflows.
Computational Core
Deterministic. Testable. AI-free. Each engine operates on domain data models — not specific datasets — ensuring scientific auditability and reproducibility across all computational workflows.
Engine 01
Multi-criteria species-site matching using weighted linear combination. Scores species against five factors: water compatibility (0.30), thermal tolerance (0.25), salinity tolerance (0.20), ecosystem match (0.15), and soil texture (0.10). Weights configurable per region.
Methodology
Output
SuitabilityResult: overall_score, suitability_class, factor_scores (dict), exclusions
Engine 02
Estimates irrigation demand using reference evapotranspiration by water regime class. Default coefficients calibrated for arid BWh climate: Very Low (200mm/yr), Low (400mm/yr), Moderate (800mm/yr), High (1400mm/yr). Accounts for effective rainfall (60% capture) and irrigation system efficiency.
Methodology
Output
WaterBudgetResult: annual_demand_m3, net_irrigation_m3, rainfall_contribution_m3, establishment_demand
Engine 03
Computes four standard community ecology metrics: Shannon-Wiener (H'), Simpson Diversity (1-D), Pielou Evenness (J'), and Native Species Ratio. Accepts species abundance data or equal-abundance comparison. Includes qualitative interpretation calibrated for landscape design contexts.
Methodology
Output
BiodiversityResult: shannon_index, simpson_diversity, pielou_evenness, native_ratio, species_abundance, interpretation
Engine 04
Estimates carbon sequestration using simplified allometric equations for above-ground biomass, root-to-shoot ratios for below-ground biomass, and IPCC-aligned soil organic carbon accumulation rates. Conservative defaults calibrated for arid environments. Converts biomass carbon to CO₂ equivalent (× 44/12).
Methodology
Output
CarbonResult: aboveground_carbon_kg, belowground_carbon_kg, soil_carbon_tha, co2_equivalent_t, time_horizon_years
Engine 05
Models pairwise ecological relationships using rules-based assessment informed by ecological principles. Evaluates ecosystem co-occurrence, growth form complementarity, nitrogen-fixing facilitation (Fabaceae), water regime compatibility, and salinity tolerance alignment. Scores range from Facilitation (≥0.8) to Exclusion (<0.3).
Methodology
Output
CommunityInteractionResult: pairwise_results, average_compatibility, conflict_pairs, facilitation_pairs
Engine 06
Multi-objective evolutionary optimization for species palette selection. Inspired by NSGA-II (Deb et al., 2002). Optimizes four objectives simultaneously: maximize biodiversity, minimize water demand, maximize carbon sequestration, minimize cost/complexity. Returns Pareto-optimal front with ranked solutions. Enterprise tier only via Cloud API.
Methodology
Output
OptimizationResult: pareto_front, best solution (fitness, biodiversity, water, carbon scores)
Enterprise Tier
Engine 07
Estimates cooling effects through two mechanisms: shade provision (surface temperature reduction beneath canopy) and evapotranspirative cooling (latent heat flux from plant transpiration). Outputs canopy cover %, average surface cooling °C, daily ET volume, and equivalent cooling power in kW. Enterprise tier only via Cloud API.
Methodology
Output
HeatMitigationResult: canopy_cover_pct, avg_surface_cooling_c, daily_et_m3, cooling_capacity_kw
Enterprise Tier
Intelligence Layer
Strictly separated from engines. The AI layer composes engines — it never modifies their logic. Engines remain deterministic, testable, and AI-free.
Conversational AI for ecological design questions. Interprets natural language, composes engines, returns structured recommendations with confidence levels and scientific references. Open source architecture. Commercial hosted LLM via Cloud.
Natural language brief → species palette. Parses design intent, runs Habitat Suitability and Design Optimizer, returns ranked options. Structured briefs supported for QGIS and API integrations.
Interprets site conditions → ecological recommendations. Identifies constraints (aridity, salinity, heat), opportunities (native species, blue carbon), and generates prioritized intervention strategies.
All engines are open source under Apache 2.0. Clone the repository, run the examples, and integrate NatureOS into your workflow.
Plans
Start free. Upgrade when you need cloud compute, certified data, and enterprise compliance.
Free
Forever free. Open source.
Pro
POPULARIndividual. Team: $199/mo for 5.
7 days. 20 API calls. Card required.
Enterprise
Annual contract. Tailored pricing.
Add-On
Scientifically reviewed, legally defensible ecological datasets. Available with Enterprise tier. Launch pricing — locked for first 12 months.
Certified Regional
$5,000
Single ecosystem. Expert-reviewed. Annual updates included.
Certified National
$25,000/yr
Full country coverage. Multi-institution review. Audit trail included.
Certified Enterprise
$50,000
Custom scope. Dedicated review panel. Legal defensibility documentation.
Launch pricing — guaranteed for first 12 months of subscription.
Questions
Community data is openly contributed — like OpenStreetMap for ecology. Free, transparent, community-reviewed. Certified data undergoes formal scientific review by domain ecologists with documented audit trails. Suitable for regulatory submissions and government contracts.
Yes. NatureOS Core is Apache 2.0 licensed. The engines and community data can be used in commercial projects. Paid tiers provide cloud compute, certified data, compliance features, and support.
You choose: continue with Pro ($49/mo) or drop to Free. No automatic charges. We remind you before the trial ends.
Yes. Verified students and researchers get 50% off Pro. Contact us from your institutional email.
Yes. Enterprise includes on-premise deployment via Docker. Your data never leaves your infrastructure. Custom SLAs available.
Begin with the free open-source tools. Upgrade to Pro or Enterprise when you need more power.
Interactive Demo
See how NatureOS works with a real ecological assessment. No code required.
Step 1 — Choose a Scenario
Step 2 — What to Analyze
Select a scenario and analysis type, then click Run
What's Happening
When you click Run, NatureOS sends your site conditions to our computational engines. The Habitat Suitability engine scores every species in our MENA database against five factors: water needs, heat tolerance, salt tolerance, ecosystem match, and soil compatibility. Results show which species are most ecologically appropriate. The same analysis landscape architects and municipalities use for real projects.
Tier Access
Free
Health check only. No engine access.
Pro
500 calls/month. Habitat, Water, Biodiversity, Carbon, Interactions.
Enterprise
Unlimited. All engines. Certified data. Batch processing.
Resources
Everything you need to integrate NatureOS into your workflow. From installation to API reference.
Install NatureOS Core, load species data, and run your first habitat suitability assessment in under 5 minutes.
Read Guide →
Complete reference for all 7 engines. Methods, parameters, return types, and scientific methodology for each.
View Reference →
Species, Site, SoilProfile, DesignBrief, Objective, and Constraint models with field descriptions.
View Models →
Design philosophy, layer separation, AI-engine boundary, open-core model, and key architectural decisions.
Read Architecture →
Open-source and commercial API tiers. REST endpoints, authentication, rate limits, and tier gating documentation.
View API Docs →
Dubai Urban Park, Wadi Restoration, Mangrove Buffer, Street Median. Real workflows with real data.
View Examples →
Repositories
Cloud API
API endpoint: api.natureos.site