Continuously updating credit scores computed from raw transaction flow, counterparty exposure graphs, and settlement latency. No batch processing. No stale data. Microsecond precision.
Traditional credit scoring is a snapshot. Axion is a continuous stream. We ingest every transaction, model every counterparty relationship, and update every score in real time.
Raw transaction streams are parsed, normalized, and fed into our risk models within microseconds of network confirmation. No aggregation delay. No information loss.
We map the full interaction topology between entities. Hidden correlations, cascading exposure, and concentration risk surface before they propagate through the system.
Credit scores update on every tick. Our models integrate settlement latency, volume patterns, and behavioral signals into a continuously recalculated risk metric.
Statistical divergence from baseline behavior triggers sub-second alerts. Pattern breaks, velocity anomalies, and exposure spikes are flagged before they compound.
WebSocket and gRPC endpoints deliver risk updates as they compute. Subscribe to entity scores, portfolio aggregates, or custom threshold triggers in real time.
Reconstruct the risk state at any point in history. Backtest models against actual flow data. Audit decisions with full temporal fidelity down to the microsecond.
Risk models are only as good as the data that feeds them. We operate validator infrastructure to access the full interaction graph at the source — before aggregation, before filtering, before anyone else sees it.
Validator nodes see every transaction before it reaches public aggregators. This isn't an API feed — it's the source data itself, in full fidelity.
The dataset we generate from validator operations cannot be reconstructed from public data. Competitors would need equivalent infrastructure to match our signal resolution.
Co-located infrastructure eliminates network hops between data source and risk computation. Our models see state changes before they propagate to external consumers.
We observe the complete counterparty topology — not a sampled subset. Every edge in the exposure graph is derived from direct observation, not inference.
Every layer of our stack is purpose-built for real-time risk computation at scale. No off-the-shelf compromises. No batch-processing workarounds.
Event-driven architecture with backpressure-aware ingestion. Zero-copy message passing between computation stages.
In-memory graph database optimized for traversal queries on counterparty exposure networks. Sub-millisecond path analysis.
Risk models update incrementally with each observation. No retraining cycles. No model staleness. Continuous convergence.
Columnar time-series storage with nanosecond precision. Full state reconstruction at any historical point. Immutable audit trail.
FPGA-accelerated packet parsing and feature extraction. Custom NIC firmware for kernel-bypass data ingestion at line rate.
End-to-end encryption for all data paths. Hardware security modules for key management. SOC 2 Type II certified infrastructure.
Request access to our API sandbox. Deploy in minutes. See scores update as transactions flow.