Our Background
Gravitas Grove brings together specialists in quantitative analysis, machine learning, and government data systems. Our team has built automated pipelines serving over 1,000 clients, developed predictive models across agricultural, financial, and economic domains, and managed production systems operating continuously for years. We've conducted large-scale research spanning millions of forecasts across diverse methodologies—ARIMA, VAR, LASSO, Random Forest, XGBoost, and neural networks. This foundation in rigorous, reproducible research translates directly to the documentation and methodology standards government agencies require.
Representative Capabilities
Selected projects demonstrating our team's analytical capabilities and technical approach.
Agricultural Export Prediction System
National Agricultural Intelligence Firm
Scope
ML pipeline for grain export forecasting integrating USDA, Census, and trade data
Approach
Docker-containerized machine learning models, automated data ingestion, ensemble methods
Results
Soybean export predictions achieving R² of 0.79-0.81; corn R² of 0.40-0.43
Technologies
Python, scikit-learn, Docker, PostgreSQL, USDA FAS, Census Trade APIs
Large-Scale Predictive Modeling Research
Academic Research Partnership
Scope
Comprehensive evaluation of predictability across 50 commodity and financial markets
Approach
13 forecasting methodologies—ARIMA, VAR, LASSO, Random Forest, XGBoost, neural networks
Results
3.7M+ out-of-sample forecasts; peer-reviewed findings on predictability limits
Technologies
Python, R, scikit-learn, TensorFlow, high-performance computing cluster
Market Intelligence Platform
Agricultural Analytics Provider
Scope
End-to-end data systems for agricultural market analysis
Approach
Automated pipelines from USDA, exchange data, proprietary sources; daily reporting
Results
1,000+ end users served; system operated continuously for 6+ years
Technologies
Python, SQL, automated ETL, reporting automation
Our Methodology
Every engagement follows a structured approach designed for reproducibility and transparency.
Data Assessment
Evaluate available data sources, identify gaps, establish quality metrics
Pipeline Development
Build automated ingestion, cleaning, and transformation systems
Analysis & Modeling
Apply appropriate statistical methods with documented assumptions
Validation
Test results, sensitivity analysis, peer review of methodology
Delivery & Documentation
Transfer deliverables with full SOPs and training
How We Work
We offer flexible engagement models to match your agency's needs and procurement requirements.
Pilot Project
2-4 week focused engagement to evaluate fit. Fixed scope, fixed price, full deliverables. Ideal for agencies new to working with us.
Project-Based
Defined scope with clear deliverables and timeline. Title VI analyses, housing assessments, custom dashboards. Most common engagement type.
Ongoing Support
Monthly retainer for agencies needing continuous analytics support, data pipeline maintenance, or recurring reporting.
Pilot Project Program
For agencies evaluating new analytics partners, we offer structured pilot engagements. Start with a focused project—a single Title VI analysis, a housing data assessment, or a custom dashboard—to evaluate our work before committing to larger scopes.
Discuss a Pilot ProjectReferences: Client references and detailed project documentation available upon request for qualified procurement officers.