Sector Registry / FINANCIAL-SERVICES
Intelligent Finance.
AI agents and regulatory-grade infrastructure for firms that operate at market speed.
Compliance Standards
SOC 2 Type IIPCI-DSSSOXMiFID IIEMIRDORASWIFT CSP
Performance and Compliance Are Not a Trade-Off.
The firms winning in financial services deploy new capabilities at speed without accumulating regulatory risk. Our practice spans trading infrastructure, AI-powered fraud detection, regulatory reporting automation, and core banking modernization. We are fluent in the compliance frameworks — SOC 2, PCI-DSS, SOX, MiFID II, DORA — that govern financial operations, and we architect systems that treat compliance as a design principle rather than a retrofit. Autonomous agents now handle what analyst teams cannot scale: real-time transaction scoring, regulatory document generation, and obligation monitoring across jurisdictions.
Core Frameworks
Operational Capabilities.
Low-Latency Trading Infrastructure
Co-location strategies, kernel bypass networking, and FPGA-adjacent architectures for algorithmic and high-frequency trading platforms.
Fraud Detection & AML Agents
Real-time transaction scoring, graph-based entity resolution, and SAR filing automation using ML models trained on transaction behavior.
Regulatory Reporting Automation
Automated CCAR, DFAST, MiFID II, and EMIR reporting pipelines with full data lineage and audit trail for regulatory submissions.
Financial Cybersecurity
SWIFT CSP-aligned security, privileged access management, and threat detection tuned for financial sector attack vectors.
Risk Analytics Platforms
Real-time VaR, liquidity risk, and credit exposure calculation engines with stress testing and scenario modeling capabilities.
Core Banking Modernization
API-first banking platform migrations, cloud-native account servicing layers, and open banking compliance architecture.
<1ms
Trade Execution Latency
For optimized trading infrastructure
99.5%
Fraud Detection Accuracy
True positive rate across client programs
90%
Reporting Automation
Of regulatory submissions automated
0
Regulatory Penalties
Across all managed client programs
Performance Case Study
Mid-Market Asset Manager
A $45B AUM asset manager was manually compiling regulatory reports across six jurisdictions, consuming 800+ analyst-hours per quarter and introducing material error risk.
85% reduction
Analyst Hours (Regulatory)
100% automated QA
Report Accuracy
T+1 → T+0
Submission Latency
Zero violations
Regulatory Risk
The Solution Implementation
"We built an automated regulatory data pipeline integrating portfolio management, order management, and custodian feeds, with automated MiFID II and EMIR report generation and submission."