01 · Financial systems
Money moving, without blind spots.
Payments, reconciliation, ledgers, risk and banking integrations designed around idempotency, traceability and explicit business rules.
Payments & settlementRisk & reconciliation
Precision engineering for complex software systems.
Applied AI, blockchain, custom software and financial infrastructure. We design, build and ship systems that have to work when the business depends on them.
Four disciplines, one engineering practice
Projects worth doing rarely fit a single specialty. A risk engine needs market data and statistics; a tokenization platform is, first of all, a dependable backend. Select a discipline to see its architecture.
- Nodes: system components
- Edges: dependencies and flows
- Dashed spine: integration across domains
No logo wall. Here is how we work instead.
Trust in engineering comes from a method you can verify, not from promises. These are the commitments you can hold us to from the first week of a project.
| Principle | Commitment | What you get |
|---|---|---|
| Architecture before code | Every project starts with an architecture proposal reviewed with your team: service boundaries, data model, risks and the alternatives we rejected. | Architecture document and decision records (ADRs) |
| Technical transparency | Repository, backlog and staging environment open to your team for the whole engagement. No black box. | Continuous access to code and progress |
| Measurable reliability | Service-level objectives, metrics and alerts are part of the scope, not an add-on at the end. | Defined SLOs, dashboards and alerts |
| Security by design | Secret management, least privilege, dependency review and threat modeling on critical paths. | Threat model for sensitive flows |
| Maintainable by another team | Automated tests, CI, documentation and a structured handover. You never depend on us to keep running. | Runbooks and a handover session |
Expertise
Four areas where technical complexity is the norm and architectural mistakes are expensive.
You want AI working in real processes, on your own data, at predictable cost and with auditable results.
- LLM integration and RAG
- Agents and workflow automation
- Document intelligence
- Predictive models and ML pipelines
View serviceYou need smart contracts and on-chain integrations engineered with the rigor of financial software.
- Solidity smart contracts
- Tokenization platforms
- Indexing and on/off-chain integration
- Wallet infrastructure
View serviceYour business rules are too complex for off-the-shelf tools, and the current system can't keep up with growth.
- SaaS platforms
- REST and gRPC APIs
- Distributed and real-time systems
- Enterprise integrations
View serviceYou run payments, markets or investments and need infrastructure that is fast, correct and auditable.
- Payments and reconciliation
- Trading infrastructure
- Risk systems
- Financial data and analytics
View service
Financial-grade software partner
Systems that carry decisions, money and growth.
We do not sell a capabilities checklist. We join you to reduce technical risk where your operation cannot slow down.
Architecture, engineering and delivery with the rigor required by regulated and high-consequence operations.
02 · Scalable platforms
A foundation for the next order of volume.
Backends and APIs that accommodate more customers, partners and products without making every new feature a rewrite.
Dependable APIsEvents & observability
03 · Blockchain infrastructure
On-chain, connected to the real business.
Wallets, indexers and protocol integrations built to coexist with your controls, data and off-chain operations.
Custody & signingResilient indexing
04 · Data products
Fast data that explains every decision.
Pipelines and analytical products for market, operational and customer data — with quality, lineage and performance from the outset.
Real timeAuditable data
Technology
We choose tools for the problem. This is our bill of materials.
- Languages
- Rust
- Go
- TypeScript
- Python
- Solidity
- Data
- PostgreSQL
- Cassandra
- Queues and streaming
- Vector search
- AI
- LLM APIs
- RAG and embeddings
- Model evaluation
- ML pipelines
- Blockchain
- Solana
- Stellar
- Starknet
- EVM & indexers
- Infrastructure
- Docker
- Public cloud
- Infrastructure as code
- Observability
The final combination is decided during architecture, together with your team.
Technical work
Internal architecture demonstrations: real engineering problems, decisions and trade-offs. They are not client projects and report no production results.
Ledgerline
Contract intelligence with evaluated retrieval
Internal demonstrationAI & Machine Learning
A reference architecture for answering questions over thousands of contracts, with mandatory citation of the source clause and explicit refusal when evidence is weak.
- Hybrid retrieval
- Answers with verified citations
- Continuous RAG evaluation
- Privacy before the model
- BC · Internal demonstration
Quorum Indexer
A reorg-safe EVM event indexer
- FX · Internal demonstration
Tessera Risk
A pre-trade risk gateway
- SW · Internal demonstration
Relay Mesh
An event-driven integration hub
How a project moves
Six stages with clear exit criteria. You always know what was decided, why, and what comes next.
- 01
Discovery
Understand the business problem, constraints and risks before proposing a solution.
Deliverables
- Requirements map
- Prioritized risks
- Scope proposal
- 02
Architecture
Choose the right technical structure and record the alternatives we rejected.
Deliverables
- Architecture document
- ADRs
- Delivery plan
- 03
Implementation
Build in short increments with reviewed code and a live staging environment.
Deliverables
- Demonstrable increments
- Reviewed code
- CI pipeline
- 04
Testing
Verify behavior, load and security against criteria set at the start.
Deliverables
- Automated tests
- Load tests
- Security review
- 05
Delivery
Ship to production with observability and a rollback plan.
Deliverables
- Production deploy
- Dashboards and alerts
- Runbooks
- 06
Support
Run, fix and evolve the system, or hand it over to your team.
Deliverables
- Support plan
- Handover
- Evolution roadmap
Frequently asked questions
What usually comes up before a contract is signed.
How do you charge: fixed scope or time and materials?
It depends on uncertainty. For well-defined scopes we propose a fixed price per stage. For products still in discovery we work with a dedicated team and a monthly budget. Discovery is always contracted separately, so you decide with real information.
What is the minimum project budget?
We take on projects from the lowest budget band listed in the contact form. Below that we usually can't deliver the technical depth that sets us apart, and we would rather say so early.
Who owns the code and intellectual property?
Our standard proposal transfers ownership of the code built specifically for your project to you. The exact terms live in the contract and are reviewed with your legal team.
Will you sign an NDA before the first call?
Yes. If the project involves sensitive information, we send or sign a confidentiality agreement before the discovery meeting.
Do you work alongside our in-house team?
Yes, often. We can own an entire component, reinforce your team on a specific front, or lead the architecture while your engineers implement.
Do you work with companies outside Brazil?
Yes. We work in English and Portuguese and run project rituals that fit time zones across the Americas and Europe.
Do you guarantee smart contract security or trading strategy returns?
No. We apply rigorous engineering and testing, but no serious vendor can guarantee the absence of vulnerabilities or a financial outcome. For contracts that hold value, we recommend an independent audit before launch.
Tell us what you need to build.
We reply within two business days with focused questions or a proposed next step. No automated sales sequences.
Prefer email?
contato@zynqoralabs.com