Trading & risk technology
Cross-asset and cross-industry solutions for execution, order management, positions, P&L, exposure, controls, market data and static data.
EMSOMSRiskMarket Data
Consulting + delivery
Technology solutions built around real operating constraints.
We combine domain expertise, architecture and hands-on engineering to solve high-value problems across trading, risk, operations and software delivery.
Digital transformation
Modern architecture and operating models that simplify integration, reduce manual hand-offs and make legacy platforms easier to evolve.
ModernisationData flowsCloudArchitecture
AI process adaptation
Practical automation of routine activities in operations, support and control functions, with appropriate human review and auditability.
AutomationRAGAgentsHuman-in-loop
AI-enabled engineering
Secure AI-assisted design and development: coding, testing, documentation, code review, knowledge retrieval and operational support.
SDLCSecurityGovernanceEfficiency
Platform accelerators
Reusable foundations for faster delivery.
Each accelerator is adapted to client architecture, policies, data sources and workflow rather than deployed as a rigid one-size-fits-all product.
01 / EXECUTION
EMS / OMS foundation
Order lifecycle, execution workflows, routing, allocations, controls, audit trails and integration with market/execution venues.
Discuss fit →02 / DATA
Live & static data services
Market data, reference data, symbology, validation, normalization, quality controls and low-friction distribution to downstream platforms.
Discuss fit →03 / RISK
Risk platform foundation
Positions, exposure, P&L, scenario analytics, limits and intraday data flows designed around business and control requirements.
Discuss fit →04 / AUTOMATION
Operations AI toolkit
Pattern library for document processing, knowledge retrieval, workflow assistants and routine-task automation with traceability.
Discuss fit →05 / ENGINEERING
AI development enablement
Secure coding assistants, repo-aware knowledge, automated quality gates and team practices that improve throughput without losing control.
Discuss fit →06 / CLOUD
Cloud & private deployment
AWS, Azure and private-cloud patterns covering identity, networking, data protection, observability, resilience and cost governance.
Discuss fit →Cloud & security
Use the cloud without giving up control.
Architecture choices should follow the workload, regulatory requirements, data sensitivity and operating model—not fashion.
✓
AWS and Azure
Managed services, container platforms, data services and AI integration.
✓
Private environments
Designs for client-owned infrastructure and restricted workloads.
✓
Cost-aware architecture
Right-size model use, storage, compute and data movement from the start.
✓
Security by design
Identity, least privilege, auditability, data boundaries and controlled AI access.
Need a starting point?
Bring the architecture diagram, process problem or delivery bottleneck.
We can assess the current state, identify where proven patterns apply, and propose a practical route from idea to production.
Start a conversation →