Fintech · 3 min read
FX · Financial Infrastructure
Financial infrastructure that is fast, correct and auditable.
We build payments, reconciliation, trading, market-data and risk systems for institutions and fintechs. In finance, performance matters, but correctness and traceability matter more.
Fig. 02 · Market simulation with pre-trade risk checks
Simulated data · not real quotes
Position
0/ ±60
- Passed
- 0
- Rejected
- 0
- Rejection rate
- 0.0%
- σ per tick
- 0.000%
- Parametric VaR 95% (1 tick)
- 0.00
Risk decisions
A technical illustration of pre-trade checks. Prices, orders and metrics are randomly generated and represent no asset, strategy or result.
Problems we solve
Financial systems fail expensively: duplicated orders, wrong positions, stale market data. We design against those failure modes.
ProblemApproach
Nobody can explain why an order was accepted or rejected at a specific moment.
Event-derived state and decision logs that allow exact replay of any instant.
The exchange or broker connection drops and the system doesn't know which orders are live.
Reconciliation on reconnect, message sequencing and explicit order state.
Risk controls are scattered, and some only run after execution.
A single pre-trade risk gateway on every order's path, failing safe.
Position and exposure reports arrive late or disagree across teams.
One source of truth for positions, fed in real time and reconciled with custody.
What we build
Financial software development, from payments and ledgers to market data and reconciliation.
Payments and ledgers
Payment flows, accounts, balances and immutable entries with verifiable business rules.
Financial reconciliation
Automated comparison across internal systems, banks, processors and partners to surface discrepancies early.
Trading infrastructure
Order gateways, state management and routing with measured, predictable latency.
Exchange connectivity
Integration with exchange, broker and liquidity-provider APIs and protocols.
Real-time market data
Ingestion, normalization and distribution of quotes and order books.
Order execution architecture
OMS, order state machines and smart order routing.
Risk management systems
Pre-trade limits, real-time exposure and kill switches.
Portfolio analytics
Positions, performance attribution and risk metrics on reliable data.
Market simulation
Simulators and backtests with costs, latency and impact modeled explicitly.
High-performance financial APIs
Client and partner APIs with idempotency, auditing and rate limits.
Technical capabilities
What separates a dependable financial system from one that only works on quiet days.
Event sourcing
State rebuildable and auditable from immutable events.
Deterministic replay
Same events, same decisions: the basis for testing and investigations.
Measured latency
Rust and Go on critical paths, with percentiles monitored in production.
Decimal arithmetic
Money in decimal types, never binary floating point.
Reconciliation
Automated comparison across internal systems, counterparties and custody.
Honest simulation
Backtests that avoid look-ahead bias and model real costs.
Example applications
Typical scenarios. These are scope examples, not delivered projects.
- Asset managers
Execution platform
An OMS with pre-trade risk and routing to multiple brokers.
- Fintechs
Investment product
Order, position and statement backend with daily reconciliation.
- Crypto
Multi-exchange connectivity
Aggregated market data and execution across several venues.
- Risk
Exposure monitor
Consolidated real-time exposure with alerts and per-desk limits.
Reference architecture
A pre-trade risk gateway with a single writer per account and an auditable event log.
Components
- Strategy / OMS
- Order origin: strategies or traders.
- Order gateway
- Normalizes protocol and assigns sequence numbers.
- Market data
- Last price and timestamp for price bands.
- Risk engine
- Single writer per account, lock-free; checks ordered by cost.
- Router
- Forwards approved orders to their destination.
- Venue simulator
- Exchange simulator used in tests; not a live connection.
- Event log
- Append-only record of orders, decisions and fills.
- Drop copy
- Execution reports that update positions.
Controls, compliance and the limits of our role
We build the infrastructure. Strategies, investment decisions and regulatory compliance remain the institution's responsibility.
- No profitability promises
- We don't build or sell strategies with promised returns. Our work is the infrastructure that executes and controls.
- Audit trail
- Every order, risk decision and fill recorded with time and state.
- Fail safe
- Stale data, disconnections and inconsistent states lead to rejection, never approval.
- Access segregation
- Role-based permissions, approval for limit changes and a record of who changed what.
- Regulatory requirements
- The architecture accommodates requirements from your regulators as specified by your compliance team.
How we implement
- 01
Failure modes
We map what must never happen: duplicated orders, wrong positions, uncontrolled execution.
- 02
Event model
We define the events and state machines that form the source of truth.
- 03
Simulator first
A counterparty simulator lets us test extreme scenarios before any real connection.
- 04
Controlled integration
Exchange and broker certification environments, with reconciliation from the start.
- 05
Gradual production
Conservative limits, latency monitoring and staged expansion.
Fintech and trading questions
Do you build profitable trading bots?
We don't sell strategies or promise returns. We build the execution, risk and data infrastructure your team uses to run its own strategies.
What latency can you achieve?
It depends on infrastructure, location and protocol. We set measurable targets in the architecture and measure percentiles in production, instead of promising a number before we know the environment.
Can you connect to Brazilian exchanges?
Connectivity depends on the access and certifications of your institution or broker. We integrate with the APIs and protocols available for your case.
How do you handle money values?
Always with fixed-precision decimal types, explicit rounding rules and tests for every financial calculation.
Do you help with regulatory compliance?
We implement the technical controls your compliance team specifies, such as audit trails, limits and access segregation. Regulatory interpretation belongs to the institution and its advisors.
Related insights
- Fintech · 4 min read
Building financial infrastructure?
Tell us what needs to be executed, controlled or reconciled. We start with failure modes.
Other expertise