SYMFONI+
SYMFONI+ is the orchestration platform for agricultural sustainability programs, helping organizations design, execute, measure, and scale ecosystem outcomes. Powered by HabiTerre’s science & expertise.
Purpose-built for what comes next.
SYMFONI+ is purpose-built to meet customers wherever they are, whether strengthening and scaling existing programs, or operationalizing goals for the first time. Use SYMFONI+ as an end-to-end platform, or modularly to strengthen your current data and investments.
Powering Practical Solutions
HabiTerre’s SYMFONI+ platform is a modular, science-backed solution for quantifying agricultural GHG and ecosystem outcomes at scale. Built on CAR-validated modeling, advanced remote sensing, and rigorous QA/QC, it delivers auditable, cost-effective results while reducing operational burden. SYMFONI+ helps partners operationalize Scope 3 and sustainability programs with greater speed, scalability, transparency, and scientific rigor.
Scalable by Design
SYMFONI+ is designed to scale across growers, fields, crops, and geographies while reducing manual workflows and data burden. Automation, remote sensing, modeling, and integrated data sources make it possible to expand programs without multiplying complexity.
Science-Backed Results
SYMFONI+ combines process-based modeling, remote sensing, AI, and rigorous QA/QC to deliver credible, defensible environmental and agricultural outcomes. Transparent data, assumptions, and uncertainty provide confidence from inputs through reported results.
Built for Partnership
SYMFONI+ works with existing programs, partners, data, and technology rather than requiring organizations to start over. Use the platform end to end or integrate individual capabilities where they add the most value.
Integrated for Impact
Connect planning, data collection, validation, modeling, reporting, and monitoring through one coordinated platform—turning fragmented processes into a scalable path from ambition to execution.
Deep Science, Clear Results
HabiTerre’s technology is rooted in decades of rigorous ecosystem science, cutting-edge computational methods, and remote sensing technology, delivering field-level quantification of carbon, greenhouse gas, water, biodiversity, and productivity outcomes with high accuracy and transparency. Our approach combines advanced process-based ecological models with real-world data and remote-sensing capabilities to support high-confidence decision-making in agriculture and sustainability.
Tier 3, Biogeochemical, Mechanistic Modeling
At the foundation of our platform is the ecosys model, a highly mechanistic, process‑based simulation of energy, water, carbon, and nutrient cycles developed and refined over decades. By explicitly representing plant growth, soil processes, and ecosystem interactions, ecosys delivers high‑resolution, scientifically defensible outcomes adaptable across soil types, climates, and management practices — a true Tier 3 modeling solution.
Third‑Party Validation
HabiTerre’s modeling approach has achieved third‑party validation under the Climate Action Reserve’s (CAR) Soil Enrichment Protocol for corn and soybeans, one of the most rigorous standards in carbon markets. This approval affirms our ability to quantify soil organic carbon changes and nitrous oxide emissions with scientific credibility, giving stakeholders confidence in model outputs used for carbon markets, corporate reporting, and sustainable investment. We are continually extending our validation into new crops and practices to meet market and customer needs.
Model‑Data Fusion (MDF)
We apply advanced model‑data fusion to integrate diverse data sources, from ground sensors to satellite remote sensing, with the ecosys engine. This fusion constrains model behavior with real observations, reducing uncertainty and improving predictive reliability at the field scale. Our MDF leverages AI‑accelerated optimization and surrogate modeling to scale across millions of fields efficiently.
Best‑in‑Class Uncertainty Performance
Compared to other models validated under CAR SEP, the ecosys engine shows leading accuracy and uncertainty performance for practice‑change effects on SOC and N₂O emissions in corn and soybeans. By meeting strict prediction interval standards and rigorous validation requirements, our results provide a defensible basis for outcome quantification with tighter uncertainty bounds than alternatives.
Practical, Simple, Rigorous Accounting
Our methodologies and accounting approaches reflect our commitment to scientific rigor, transparency, and practical implementation. By translating field-level outcomes into credible, scalable frameworks, we help organizations confidently report progress, support claims, and advance more resilient and sustainable agricultural systems.
Designed for large-scale, supply chain-aligned climate programs, the Project Shed framework delivers scalable and auditable GHG inventory accounting. It connects farm-level emissions to corporate Scope 3 reporting through consistent, science-backed quantification, making it easier for companies to track emissions, set targets, and demonstrate progress over time.
For impact-first climate programs, we offer a rigorous intervention accounting approach that quantifies the change in GHG emissions resulting from specific practice changes, such as cover cropping or reduced tillage, against a counterfactual baseline. Built on third-party validated modeling and transparent assumptions, this methodology supports incentive programs, claims validation, and reporting needs.