What you get
Backend and indexing infrastructure turns blockchain events into operational reality. We deliver production-grade systems that handle data reliably at scale.
This is the layer most teams underestimate and where production systems often break.
Backend services & APIs
+Build service layers that orchestrate workflows and integrate with your stack. Output: APIs, service boundaries, and operational tooling.
Custom indexing
+Index smart contract and XRPL activity into queryable datasets. Output: indexers tailored to your schema, use cases, and reporting needs.
Event-driven pipelines
+Transform, enrich, and route events across systems reliably. Output: pipelines with retries, idempotency, and clear failure handling.
Data integrity & consistency checks
+Detect gaps, duplicates, and mismatches across systems. Output: consistency checks and alerting around critical business invariants.
Reporting outputs
+Make data usable for ops, finance, and product teams. Output: exports, dashboards-ready tables, and audit-friendly outputs.
Observability & production hardening
+Make systems measurable and debuggable under load. Output: metrics, logs, alerts, and runbooks for live operations.
Core architecture
Event ingestion
+Chain listeners and XRPL ingestion.
Normalization layer
+Schema and business event modeling.
Processing layer
+Transformations, enrichment, retries, idempotency.
Storage layer
+Queryable datasets designed for reporting.
Serving layer
+APIs, exports, and downstream integrations.
Ops layer
+Monitoring, alerts, and incident runbooks.
Common use cases
Backend and indexing scenarios where production reliability is non-negotiable.
Tokenization operations
+Operational datasets for issuance, lifecycle events, and platform reporting.
Stablecoin payments & settlement
+Stateful payment flows with traceable operations and reporting outputs.
DeFi protocol operations
+Indexing and monitoring for protocol activity, risk events, and operational workflows.
Cross-system synchronization
+Keep on-chain state and off-chain records consistent across services and providers.
Analytics-ready foundations
+Clean datasets and event models that power product analytics and internal tools.
How we work
Our Case Studies
