Independent assumption verification and stress-testing
before high-stakes decisions are made
We combine deep finance insights with PhD-level quantitative expertise in statistical analysis to validate financial models, verifying and stress-testing the assumptions before high-stakes decisions are made.
Founded in 1996 | 25+ years of technology and analytics expertise
Financial models do not fail because the mathematics is wrong. They fail because the assumptions were never challenged by someone who did not already believe them.
Financial models do not usually fail because the mathematics is wrong. They fail because the model builder sets the scenarios, tests the assumptions, and defines what counts as a worst case.
By the time the model reaches a board, an investor, or a counterparty in due diligence, those assumptions have never been challenged by someone who did not already believe them.
Avantinfo provides the layer of independent scrutiny that the model's authors cannot provide for themselves, not because they lack capability, but because independence is structurally impossible from insiders.
Our Capability
Avantinfo combines deep finance insights with PhD-level quantitative expertise in statistical analysis, Monte Carlo simulation, formal assumption stress-testing, and validation of data and assumptions. This combination, operational finance experience alongside rigorous quantitative methods, is what makes our verification work distinct from standard model review.
Our verification process is supported by AI-assisted analytical tools that accelerate assumption mapping and pattern detection across complex models, allowing our team to focus expert judgment where it matters most.
The Problem
Even sophisticated models frequently contain:
The consequences are serious:
Incorrect investment decisions
Board-level credibility risks
Audit and compliance challenges
What We Do
Before your model reaches an investor, we verify whether its assumptions would survive the questions they are trained to ask. Investors challenge the reasoning behind numbers, not just the numbers themselves.
Learn more →Acquisition decisions rest on models built to support a thesis. We provide an independent challenge to the assumptions that determine whether the deal economics hold under realistic external conditions.
Learn more →Capital allocation and strategic decisions presented to boards require models whose assumptions have been independently stress-tested. We provide that verification before presenting to the board, not after.
Learn more →Why Avantinfo
We are not the model builder. We have no stake in the outcome. Our only interest is in finding what would not survive external scrutiny.
Every engagement delivers a prioritized list of issues, from critical to minor, with specific recommended fixes, not general observations.
Standard delivery is five business days. Findings are written for decision-makers, not for auditors.
PhD-level quantitative expertise combined with decades of finance insights, applied to the assumption layer, not just the arithmetic.
Every Engagement Delivers
Key risks, conclusions, and the overall reliability assessment of the model.
Errors, assumption gaps, and sensitivities, all documented with specific cell or section references.
Prioritized list of corrections and improvements, ready to act on before the decision is made.
Interactive Tools
SaaS Models
Enter your revenue model assumptions and see how they compare against current B2B SaaS benchmarks. See which assumptions an investor would challenge first.
Try the SaaS Model Verifier →Insurance Models
Enter your portfolio assumptions and run a 10,000-iteration Monte Carlo simulation. See how frequency and severity assumptions drive your reserve requirement.
Try the Insurance Reserving Verifier →Our Commitment
Independent verification and validation has value only if it is genuinely independent. These are the principles that define how we work.
We do not advise on model construction. We do not have a stake in the decisions they support. Our only interest is in identifying what is independently defensible and what is not.
We work with a small number of clients on each engagement, not because our capacity is limited, but because this kind of work requires sufficient attention to be done properly.
Assumption failures discovered during due diligence or after capital allocation are expensive and often irreversible. Discovered before either, they are correctable.
Our work is most effective alongside your existing advisors: the CFO, the investment bank, the transaction counsel. We add the one thing those relationships cannot provide: independence from the model's construction.
The Verification Gap
The problem is not calculation error. It is structural. The same mind that built the model is the mind that tested it.
No builder can neutrally challenge their own assumptions. External challenge requires someone who did not build the model.
Worst-case thresholds are often chosen at the level the model can absorb, not at the level genuine external shocks actually reach.
The distance between a model that passes its own stress test and one that survives independent challenge is usually invisible, until a decision makes it visible.
Assumption failures discovered during due diligence or after capital allocation are expensive. Discovered before either, they are correctable.
Independent assumption verification is most useful, and least costly, before a model reaches the room where capital decisions are made.
Discuss Your Engagement →