FinHelm offers a probabilistic finance platform that transforms a single forecast into a calibrated P10/P50/P90 distribution with explicit confidence bands.
Funding
Funding not disclosed
Founders
Product
Problem
Finance teams lack tools to measure the reliability of their forecasts, resulting in untracked forecast accuracy and limited insight into scenario risk. Without a dedicated measurement layer, CFOs cannot anticipate the probability that projected numbers will deviate significantly from actual outcomes.
Solution
FinHelm provides a probabilistic finance platform that converts a single forecast into a calibrated P10/P50/P90 distribution with explicit confidence bands. The Probability Helm Stack combines six analytical pillars to generate intelligence metrics such as the Uncertainty Exposure Score, Forecast Stability Index, Assumption Materiality Intelligence, and Forecast Fidelity Score. These metrics quantify forecast uncertainty, track stability across revisions, attribute drivers of variance, and continuously calibrate forecasts against actual results. By surfacing this information in a unified dashboard, finance teams can shift from narrative variance reporting to confidence‑driven planning and make more informed decisions about risk and resource allocation.
Target Audience
FinHelm targets corporate finance departments, including FP&A teams and CFOs, that require quantitative measurement of forecast reliability and scenario risk for strategic planning.
Features
- Generates calibrated probability distributions (P10/P50/P90) with confidence intervals for any forecast
- Uncertainty Exposure Score (UES) quantifies the probability of forecast deviation using Sharpe‑composite mathematics
- Forecast Stability Index (FSI) measures trajectory convergence across forecast revisions without requiring actuals
- Assumption Materiality Intelligence (AMI) ranks drivers of uncertainty using graph‑theoretic attribution
- Reflection Engine provides a Forecast Fidelity Score by Bayesian calibration of forecasts against realized outcomes
- Six‑pillar architecture integrates both intelligence metrics and underlying infrastructure for continuous, memory‑preserving forecast updates