
TerraFIRST is a farmland investment management platform developed by the Veripath investment team and our data science group encompassing:

- Proven factor-based investment screening and portfolio construction models
- Real time satellite & AI monitoring
- Annual, automated, online farmer reporting tools providing ground truth – “trust but verify“
- Recurring agrology with automated error checking and alerts
- Full suite of land and lease management tools
- Business intelligence overlay with analytical tools and key performance indicators tracking – >200 KPIs
- Central data repository capturing all land and fund information – >0.2 million records
- System captures and stores valuable, verified long-term data about land quality and farming practices

EquiONE is a private equity investment management platform developed by the Arvore investment team and our data science group encompassing:

- Proven rapid integration tools <8 weeks to onboard a typical acquisition. Monitoring and reporting aggregated immediately. Proprietary continuous improvement, monitoring and reporting systems:
- >5,000 KPIs
- >1 billion records in data repository
- Scalable, accurate and cost-effective tools for portfolio oversight, earnings forecasting and operations management
- Tight integration and real time reporting facilitates continuous improvement programs
- Forecasting is made more rigorous and accountable – deviations in actuals versus expectations throw alerts in real time
- System allows operating company and fund level managers to make informed, real-time decisions
- System captures and stores valuable long-term, verified data about business operations
Data Science Group
Omnigence has a dedicated Data Science Group with core competencies in business intelligence, continuous improvement, AI, statistical analysis, and data analytics. This team plays a crucial role in:

- Leveraging data to enhance investment decisions and improve portfolio performance. They analyze large amounts of data to evaluate market trends, assess the financial health of portfolio companies, and predict risks.
- Using analytics to identify opportunities for revenue growth, cost reduction, and operational improvements across portfolio companies, ultimately driving value creation.
- Continuously monitoring portfolio performance, offering real-time updates and predictive analytics to ensure optimal returns.