Ultra-Low-Latency AI for Financial Markets
Edge compute for market data processing, AI anomaly detection on transaction streams, and fraud prevention at network speed — without the latency penalty of cloud-based architectures.
Talk to an ExpertSpeed and Intelligence at the Trading Edge
Financial markets operate at microsecond timescales where network latency is a competitive disadvantage and a compliance risk. OranSense deploys AI inference at the network edge — co-located with matching engines, clearing systems, and market data feeds — eliminating the round-trip latency that cloud architectures impose.
The OranSense edge AI stack processes transaction streams, order flow data, and market signals in real time. Fraud models, anomaly detectors, and compliance engines run on-premises, ensuring sensitive financial data never traverses public infrastructure while meeting the latency requirements of algorithmic trading and real-time risk management.
Key Capabilities
Ultra-Low-Latency Market Data
Co-located edge compute processes market data feeds with sub-100 microsecond latency. Eliminate the network round-trip that separates winning and losing algorithmic strategies.
Real-Time Fraud Detection
AI models analyse transaction patterns, device fingerprints, and behavioural signals to detect fraud in under 50ms — before authorisation completes. 99.8% detection rate with <0.1% false positives.
Transaction Stream Analytics
Process 10M+ transactions per second through AI anomaly detection pipelines. Identify wash trading, spoofing, and market manipulation patterns in real time for compliance reporting.
Risk Model Inference
Run VaR, stress testing, and counterparty risk models at the edge with real-time market data inputs. Intraday risk limits enforced automatically without batch processing delays.
Regulatory Compliance Automation
AI-powered trade surveillance generates MiFID II, Dodd-Frank, and EMIR compliance reports automatically. Reduce compliance operations headcount and eliminate manual review backlogs.
Network Resilience & Failover
Active-active edge deployment with sub-second failover. Maintain trading operations and risk controls during network events, data centre outages, and cyber incidents.