Fracfai blends data science, quantitative modeling, and practical accounting experience to help finance professionals see around corners with more confidence. We focus on rigor, transparency, and insight you can actually use.
Use this space for an abstract chart or structural diagram that visually suggests how diagnostics and forecasting sit together. No numbers need to be real — it’s about communicating “signal, not noise.”
Many firms experience the same pattern: inherited books with unclear history, ambiguous prior work, and pressure to “just make it workable.” This simple flow is how diagnostics are meant to fit — as a structural checkpoint, not as a replacement for your team.
One of the core differences in Fracfai’s forecasting is explicit treatment of uncertainty. Instead of one “best guess” trajectory, we work with bands that frame upside and downside paths.
Businesses don’t fail because of spreadsheets. They fail because it’s hard to see around corners.
Fracfai exists to give finance professionals clearer visibility into the financial paths their clients may face — not with hype, but with disciplined modeling, transparent methods, and insight that respects the complexity of real-world business.
We believe that forecasting should feel reliable, interpretable, and actionable, even when the future is uncertain. Our work blends data science, quantitative modeling, and practical accounting experience to give advisors a deeper understanding of what’s driving cash, risk, and opportunity.
Our forecasting engine is rooted in two principles: rigor without unnecessary complexity and insight over blind automation.
Behind the scenes, Fracfai applies modern forecasting techniques — multi-model ensembles, residual ML modeling, robust feature engineering, and conformal prediction — all designed to improve stability and reveal uncertainty honestly.
But the output is intentionally simple: clear forecasts, confidence ranges, and insight grounded in data rather than guesswork.
Finance is not a button to press. We don’t believe software replaces judgment, experience, or conversation.
Fracfai’s role is to surface the patterns that matter: cash stresses coming into view, the drivers moving forecasts, the trends that merit attention, and the questions worth asking. You bring the context. We provide the clarity.
Fracfai is built for professionals who want more than simple templates, but who don’t want to build a data-science team from scratch.
Firms that want deeper forward-looking analysis to support advisory services without hiring in-house quants.
Finance leaders who guide clients through uncertainty and need structured, scenario-aware views of cash and risk.
Teams expanding from compliance work into planning, forecasting, and higher-value conversations with clients.
Businesses that need clearer visibility into cash, runway, and what different decisions could mean over time.
Fracfai was founded by John E. Putman II, a data scientist and quantitative modeler with more than 20 years of experience in predictive modeling, systematic finance, and applied machine learning.
John’s background spans algorithmic trading, time-series forecasting, and hands-on accounting. This blend of quantitative rigor and practical finance led to the creation of a platform uniquely suited to the needs of CPAs, FCFOs, and financial professionals who want deeper insight without unnecessary complexity.
Our mission is to give finance professionals predictive clarity — not through buzzwords, but through well-designed models, honest uncertainty, and insight that supports real-world decisions.
We’re not here to automate finance. We’re here to elevate it.
Fracfai is being developed with the belief that better forecasts create better conversations — and better conversations create better outcomes.
If you’re a CPA, FCFO, or finance professional who lives in cash flow conversations, we’d value your input as Fracfai’s forecasting engine and reporting continue to take shape.