The graveyard of finance AI is full of successful pilots.
Most financial firms have run an AI proof of concept. Far fewer run AI in production, with governance, on their own data, inside the systems their teams actually use. That last mile is the work.
Generalists learn finance on your invoice.
The result is familiar: elegant systems that misread a corporate action, ignore a mandate constraint, or treat an audit trail as a feature request.
Mezza was built for financial firms. Regulation, fiduciary duty, and data that must reconcile to the penny are our starting assumptions, not discoveries made mid-project.
One partner from whiteboard to production to operations.
Advise
An honest assessment before any build: your data readiness, the use cases worth doing, the ones that are not, and a sequenced roadmap with the governance work priced in. Take it anywhere, including away from us.
Build
Finance-native engineering: data pipelines, models, and agentic workflows built for your use case, documented to the standard your model-risk function expects. Built on your data, never used to train models for anyone else.
Integrate
The unglamorous, decisive work: wiring AI into your actual systems, entitlements, and approval flows. Inside your product if you are a fintech, inside your operating stack if you are a bank.
Run
Managed operation under your governance: monitoring for drift, retraining cycles, incident response, and decision logs your auditors will ask for. Humans own the judgment. We keep the system answerable.
Designed as if your examiners were in the room.
Everything Mezza builds assumes the examination: data lineage from source to output, documented model behavior, and human approval on consequential actions.
- Use cases in scope: monitoring and surveillance casework, credit and counterparty analytics, reporting automation, document-heavy operations.
- We work alongside your model-risk and compliance functions from day one, not at sign-off, at the pace your change-management process allows.
- Deployment inside your security perimeter is scoped per engagement. Ask us about deployment models in a first conversation.
Your product gets the intelligence. Your roadmap keeps the credit.
You do not need to build a data-science function to ship finance-grade AI features. Mezza designs and runs the intelligence behind your product: entity resolution, enrichment, scoring, document understanding, and agentic workflows, delivered behind your API and invisible to your users.
- Built into your architecture, your latency budget, and your data agreements.
- Your customers’ data is governed to the standard your enterprise deals require.
- Scales from one feature to a managed intelligence layer under your brand.
We integrate Drakkar where it fits and build bespoke where it does not.
Drakkar platformTell us what stalled, or what you have not dared to start.
First conversation: your stack, your data reality, your regulatory perimeter, plus a frank view of what we would do first. If the honest answer is that you do not need us yet, you will hear that too.