We build from scratch, or integrate your platforms
Platforms, data foundation and AI in production for payment fintechs and banks, inside the regulated perimeter.
White-label banking and payments solutions, unifying your operation.
We serve payment fintechs and banks, and the work happens inside the regulated perimeter. We've built instant-payment integrations, Open Finance initiation and consent, reconciliation and the accounting close. The full path, start to finish.
We operate in one of the world's busiest instant-payment ecosystems: Brazil's Open Finance has passed 154 million active consents and 5 billion API calls a week between institutions, and payment initiation jumped from $600 million in 2024 to $3 billion in 2025. Regulatory deadlines and volume peaks stopped being a strategy question and became an engineering problem.
We build banking-as-a-service platforms, organize the data foundation in layers, and put models and agents to work turning data into decisions. It's also what we deliver to anti-fraud teams: the base and the orchestration their detection needs to run at scale.
- 92%
- Less time on the accounting close
- Payment fintech
- 4 million+
- Transactions processed per month
- Banking as a service
- 100%
- Of the fundraising and billing cycle digitized
- Nonprofit sector
Four fronts, in the order they build on each other.
White-label embedded finance
You operate through a white-label solution, and the product can still be customized for each client. We build that layer: app, portal, dashboard and customer area, integrated with the provider, with the experience under your control and the core left where it is.
Layered data foundation
Transactions, settlements, reconciliation and registry data arrive from different systems, and the close depends on someone consolidating them before the conversation can begin. We build the foundation from raw data to consumption tables, with quality rules at the entry point and each metric defined exactly once.
Agents and models on the base
With the foundation organized, prediction and classification have something to run on: default risk, collection behavior, queue prioritization, registry enrichment. It's also what we deliver to anti-fraud teams, giving their detection the base and the orchestration it needs to run at scale.
From the AI prototype to production
Your team built fast with AI and stalled at go-live: no automated testing, pipeline, access control, traceability or review. In a regulated environment that gap is what separates the prototype from what can go live. We come in with the engineering practice that takes what's already built into production.
The right service for each problem
Each service has its own page, with the method and the case studies.
Reliable financial data at scale, from raw data to the accounting close.
A layered data foundation on Google Cloud for the accounting close of a payment fintech: 4 million transactions per month, with each metric's definition fixed once and a trail back to the source transaction.
- Data → Action
- From raw data to the final decision, in layers
- Metrics
- Definitions fixed once, with quality rules at the entry point
- Daily and monthly
- The close that matches, with a trail back to the source
- Google Cloud
- Data foundation and pipeline in production
What we've already built within the regulator's deadlines.
The regulator's calendar became an engineering backlog. These are four fronts where we've already delivered.
Scheduled and Recurring Pix
Frictionless scheduled and recurring billing that scales with the volume.
BolePix
One invoice, payable by barcode or QR Code.
Open Finance
Consent, data sharing and payment initiation.
Reconciliation and close
Data that matches at the end of the day and the month, with a trail back to the source transaction.
It all starts by diagnosing your operation.
The first step is mapping your flow, from start to close.
Talk to a specialist
Presence that understands. Technology that delivers. Results that hold.