Investment Science as a Service™
Mezza AI builds the intelligence layer for financial decisions. We are a finance-native AI firm: advisory, engineering, and one flagship platform, Drakkar, all aimed at one outcome. Financial institutions making decisions on evidence they can trace, with judgment that stays human.
Finance has always run on hypotheses. We treat them that way.
Every position is a hypothesis. Every risk limit is a claim about how the world behaves. Most firms test these informally: experience, debate, the occasional backtest. Investment science means doing it deliberately.
- State the hypothesis.
- Gather evidence that could prove it wrong.
- Test out-of-sample.
- Record the result, especially when it is negative.
Then decide, with a human accountable for the call.
AI did not create this discipline. It made it scalable. An intelligence layer can run the evidence-gathering and the testing continuously, across every position and every mandate, at a rigor no team of humans could sustain by hand. What it cannot do, and should not do, is own the verdict. That division of labor is the whole company.
Five rules we do not bend.
Evidence before confidence.
Every output our systems produce links to its sources. A statement that cannot show its evidence gets labeled as unverified, not dressed up.
The data comes first.
We build the reconciled, governed data layer before the model that depends on it. Skipping this step is how the industry got its graveyard of pilots.
Humans own the judgment.
Our systems propose. Named people approve. We design for accountability that traces to a person, because in finance it always must.
Your data is yours.
We build on client data. We never train models on it for anyone else. What an engagement produces belongs to the client, including the negative results.
Honesty about what we have not proven.
We do not publish numbers we cannot back or clients we cannot name. What we show as product output is sample output, never a borrowed track record. We would rather earn trust slowly than borrow it.
A small surface, a deliberate shape.
One ladder
Advisory, build, integration, and managed operation. The same discipline runs through every engagement.
The engagement modelOne platform
Our best ideas graduate into Drakkar. Methods carry over between engagements. Client data does not.
Explore DrakkarOne focus
Hedge funds, institutional investors, wealth managers, banks, fintechs, and real estate firms. Finance is not a vertical to us. It is where we come from and where we go deepest.
What we solve
We apply the same method to automation for startups and mid-sized companies.
Mezza is built by practitioners from quantitative finance and machine learning.
We will introduce the team here properly.
Judge us the way we judge a signal.
Out-of-sample, on your own data. Bring a real workflow to a first meeting and watch how we think before you decide anything.
