We engineer the information behind money.
Monitoss is a product engineering studio for financial information. We design and build the data pipelines, APIs and interfaces that turn raw market, rate and account data into numbers people can trust and act on.
Capabilities
Four disciplines, one team. Most projects touch all of them, so we build them together instead of handing work across vendors.
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Financial data pipelines
Ingestion and normalization for rates, FX, equities and macro series from exchanges, central banks, aggregators and partner feeds. Every value is versioned and traceable to its source.
- Streaming and batch ingestion with schema validation
- Point-in-time storage for backtests and audits
- Currency, calendar and corporate-action normalization
- Data-quality checks with alerting on gaps and outliers
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APIs and developer platforms
Public and partner APIs that expose financial data cleanly, with the documentation, keys and limits a real developer program needs.
- REST and GraphQL design with OpenAPI specifications
- Auth, API keys, usage metering and rate limiting
- Webhooks and real-time feeds over WebSocket
- Developer portals, SDKs and sandbox environments
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Money products
Web and mobile interfaces where financial numbers have to be read correctly the first time: comparisons, calculators, dashboards and alerts.
- Rate and product comparison engines
- Loan, savings, investment and tax calculators
- Portfolio and cash-flow dashboards
- Price, rate and threshold alerting
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Analytics and research tooling
Internal tools for analysts and editors who publish financial insight: query layers, chart pipelines and publishing workflows tied to live data.
- Semantic layers over warehouse data
- Reproducible chart and report generation
- Model-assisted summarization with source citations
- Editorial review and publishing workflows
Stack
We choose boring, well-understood tools for the core and reserve new technology for the places it earns its keep.
TypeScript / Python / Go / PostgreSQL / ClickHouse / Kafka / dbt / Airflow / Next.js / React Native / Kubernetes / Terraform / AWS / GCP
Data layer
PostgreSQL for transactional state, ClickHouse for time-series analytics, Kafka for event streams, dbt and Airflow for modeled, scheduled transformations.
Application layer
TypeScript and Go services behind typed API contracts. Next.js for web, React Native for mobile, shared design tokens across both.
Infrastructure
Infrastructure as code with Terraform, containerized workloads on Kubernetes, CI/CD with automated tests, and observability from day one.