Disruptive Rocket Fuel

The Horatius Cash Flow Optimizer (CFO) improves the predictability of cash flow in your business.

Predictive AI insights combine with interactive forecasting to enable business owners to explore different operational scenarios.

Why Horatius CFO?

Accounting software like QuickBooks tells you where you are and where you’ve been; businesses need to know where they’re going to ensure that they have the cash to get there.

Who We Serve:

Growth focused business owners.

- Sells products and/or services
- Uses QuickBooks

  • AI Landscape

    Generative AI
    improves productivity (cost savings).

    RealAI™
    improves predictability (revenue growth).

  • Predictive AI

    RealAI™ improves cash flow predictability, accelerates growth, and propels companies into the future.

    Horatius’ proprietary predictive AI has optimized over $50B of deployed capital by discovering relationships between finance and operations data that enable businesses to inform strategic and operational decisions with a focus on increasing cash flow, margins, and enterprise value.

    AI Strategy
    Our experts analyze your business and data to tailor a comprehensive plan to increase the value of your business with AI.

    AI Enablement
    Our team personalizes RealAI™ to align with your business goals.

  • Dashboards

    Our dashboards improve the predictability of cash flow in your business with enhanced visibility into your sales, expenses, operations, and cash.

    Understanding Data:
    Interactive data visualizations enable teams understand and align on data-driven historical analysis and AI-assisted insights analysis and forecasting.

  • Data

    Data is the foundation of improving the predictability of cash flow in your business.

    Silos:
    Data silos are a political problem, not a technological one, that need to be resolved before teams can expect to succeed with AI.

    Integration:
    Creating single datasets with data from across your organization is critical for efficient data visualization and AI.

Contact cfo@horatiusgroup.com to start making more money.

AI has the power to propel middle market companies to positions of market leadership faster, and with a deeper competitive moat, than any other technology. However, success requires that firms adopt and integrate automated, self-learning technology faster than larger firms who are creating custom software with expensive, full-time data scientists.

RealAI Services

Our proprietary technology and experienced team enable businesses to maximize the value of their data to inform strategic and operational decisions with a focus on increasing cash flow, margins, and enterprise value.

  • Our experts analyze your business and data to tailor a comprehensive plan to increase the value of your business with AI.

  • Our team personalizes our AI, data connectors, and interactive dashboards for optimal results to accomplish your business goals.

Teams should not expect to succeed with AI using the same knowledge, resources, and culture that made them successful with traditional software.

RealAI Diligence Services

  • Successful investments in AI require deep technical due diligence that is different from what has historically been done with traditional software.

    If the code is written and updated by humans, it’s regular software, nothing AI about it (Fake AI). Fake AI is expensive to scale and rarely generates a return worth the risk. Some AI includes machine written code but is still updated manually by expensive data science and software engineering teams. RealAI is self-learning, at machine speed, which dramatically reduces the total cost of ownership (TCO), enabling one data science team to implement and maintain many more use cases at the same cost, and thereby creating strong returns on investment.

  • Data is the foundation of AI’s value potential. Understanding the scope of access to data is essential for assessing the value of a business that uses AI.

  • High quality machine learning pipelines that perform data ingestion, data engineering, feature engineering, algorithm selection, algorithm configuration, and model validation are essential for creating AI systems with low cost of ownership.

  • Deep analysis of the application code and how it integrates machine learning (ML) to create software that continues to improve without human intervention (Real AI) is essential to quantify AI maturity and the value of the opportunity.

  • Robust automated test coverage and deployment automation is essential for complex, self-learning AI systems to deliver high returns-on-investment.