Tools, not advice
Trust is the product.
We don't sell data. We don't sell leads. We sell tools.
How We Measure Accuracy
We believe in calibration. A model that doesn't know its own error rate is dangerous.
Our Calibration Goal
Our goal is not to be "right" every time (which is impossible in markets), but to be well-calibrated. If Mona says there is a 70% chance of hitting a rent target, it should happen 7 times out of 10.
What We Measure (Roadmap)
Rent Estimates vs. Actuals
We plan to compare our initial rent estimates against actual signed leases (anonymized) to report our mean absolute error (MAE).
Renovation Budgets vs. Actuals
We will track the variance between estimated rehab costs and final project costs for users who opt-in to share this data.
Current Status
As of Early Access launch, we are establishing our baselines. We do not yet have enough historical outcome data to publish a calibration report.
Commitment: We will publish our first accuracy report once we have 100+ verified outcomes.