TerraFIRST

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 long-term, verified data about land quality and farming practices

EquiONE

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.
  • Providing insights into a company’s potential growth and operational efficiency using their models. Additionally, the team uses 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.