Science That Scales. 
Grounded Tech You Can Trust.

SYMFONI™ delivers best-in-class, field-level emissions modeling—auditable, accurate, and ready to power your sustainability strategy.

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 with reduced operational burden. SYMFONI empowers partners to confidently operationalize and achieve their Scope 3 and sustainability goals with speed, scalability, and scientific rigor.
Scalable by Design
SYMFONI™ is engineered to simplify and scale GHG and sustainability programs across millions of acres. By blending advanced modeling, remote sensing, and machine-integrated data collection, SYMFONI dramatically reduces data burden and accelerates participation, no matter the crop, region, or data environment.
Science-Backed Results
At its core, SYMFONI runs on the ecosys model, a Tier 3, process-based, and is validated by the Climate Action Reserve for the best validation accuracy for SOC and N₂O quantification. Every output is backed by rigorous QA/QC, gap-filling logic, and best-in-class uncertainty performance. SYMFONI doesn’t just model, it delivers audit-ready Results you can report with confidence.
Built for Partnership
HabiTerre partners with leading agribusinesses, tech platforms, and CPGs to unlock scalable, credible climate action. We collaborate across the value chain, from design and data integration to delivery and reporting, ensuring seamless workflows, responsive support, and real-world outcomes. SYMFONI adapts to fit your ecosystem, not the other way around.
Integrated for Impact
Our vision is simple: Make sustainability measurable, manageable, and scalable. SYMFONI powers the full journey—from program design and automated enrollment to modeled GHG outcomes, Scope 3 inventory integration, and transparent reporting. Every step is optimized for speed, scalability, and scientific integrity.

An Ecosystem of Solutions

SYMFONI is more than a platform—it’s a fully integrated system of solutions purpose-built to help you manage complexity, reduce burden, and generate results you can trust.

Landscape - design smarter, sustainable supply chains

It’s hard to know where to start when it comes to reducing Scope 3 emissions. Landscape solves this by aligning GHG modeling with sourcing decisions. It helps you map sourcing regions, identify priority areas, and estimate baseline, project, and residual emission factors (EFs)—including residual EFs for non-project sourcing and removals with limited traceability—so you can plan programs that are impactful, feasible, and compliant.

Program enrollment and data collection - streamlined, scalable, grower-ready

Collecting accurate, field-level data is messy, manual, and time-consuming. This feature solves this with automated, QA/QC-ready pipelines that pull from FMIS tools, remote sensing, and grower inputs. The result: standardized data without heavy lift, from farmers or your implementation team.

Modeling - built on science, trusted for scale

Modeling emissions across diverse fields and practices requires more than spreadsheets. It demands deep science. HabiTerre models simulate carbon, nitrogen, water, and energy flows at regular intervals. Automated QA/QC and multi-level reviews ensure reliability, auditability, and scientific rigor.

Reporting - from complex data to clear Impact

Companies struggle to turn emissions data into meaningful sustainability insights. HabiTerre addresses this with cradle-to-farmgate calculations, visual interactive dashboards for insights and impact analysis, and exportable reports for internal tracking and external disclosure. Scope 3 reports are audit-ready, traceable, and aligned with corporate targets.

Managed Services & Innovation - more than a platform

Building scalable sustainability programs takes expertise and agility. These projects provide hands-on support, from program design to implementation, validation, and advisory. Whether piloting new methodologies or solving emerging challenges, we work alongside you to optimize success.

Supporting cropland and grazing systems

SYMFONI is built to model ecosystem outcomes across both cropland and grazing systems. From row crops to pasturelands, we quantify the key environmental impacts using science-backed methods that reflect the diversity of agricultural landscapes. This enables comprehensive, field-level GHG accounting no matter the production system.

Deep Science, Clear Results

HabiTerre’s technology is rooted in decades of rigorous ecosystem science and cutting‑edge computational methods that deliver field‑level quantification of carbon and greenhouse gas outcomes with unprecedented accuracy and transparency. Our approach merges advanced ecological models with real‑world data 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 source, 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 reflect our commitment to scientific rigor, transparency, and efficiency. We’re working to transform the food system into one that is more resilient and sustainable by providing trusted insights and innovative solutions to stakeholders across food and agriculture.

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 quantifies the GHG emissions change resulting from adopting specific practice changes (e.g., cover cropping, reduced tillage) vs. a counterfactual scenario in GHG emissions resulting from specific practice changes (e.g., cover cropping, reduced tillage). Built on third-party validated modeling and transparent assumptions, this methodology supports incentive programs, claims validation, and reporting needs.