Trading & Matching Engine
Leveraged trading, order matching, position and margin management, real-time risk control. Low-latency, high-concurrency cores in Go.
We design, build and operate trading engines, double-entry ledgers, payment flows and mobile fintech apps end to end. Millisecond precision, penny-perfect reconciliation.
From the screen where an order is placed to the final ledger entry — performance, consistency and auditability are part of the design from day one.
Leveraged trading, order matching, position and margin management, real-time risk control. Low-latency, high-concurrency cores in Go.
Balance, credit and margin accounting on double-entry principles with automated reconciliation. Every trade, funding movement and fee is traceable and auditable.
Deposits and withdrawals, PSP and bank integrations, idempotent payment flows, multi-currency and FX conversion.
Fireblocks-based custody, multi-signature approval flows, on-chain settlement and exchange connectivity.
Trading, neobank and wallet apps; operations and risk consoles. Real-time data, fluid and trustworthy interfaces.
MCP servers, LLM features embedded in products, AI agents for operations and support — local (on-prem) models where needed.
Monolith-to-microservices migration, cloud-native infrastructure on AWS & Kubernetes, CI/CD and observability — the approach that cut deploy time from 3 hours to 20 minutes.
Technology roadmap, architecture governance, hiring and distributed team management — from experience leading a 38-engineer organisation across three countries.
Fintech first — plus e-commerce, automotive dealer management (DMS) and health-tech products that run in the real world.
Leveraged trading apps, multi-currency wallets, risk consoles and reconciliation tools.
Explore screens →Mobile shopping, multi-brand admin, pricing and cross-store stock distribution.
Explore screens →Service work-order management, customer and technician apps, electronic parts catalogue.
Explore screens →Patient monitoring apps, AI-assisted ECG analysis and device-to-cloud clinical data pipelines.
Explore screens →An event-driven, horizontally scalable, fully observable core. Speed without compromising consistency.
Goroutine-based concurrency and in-memory matching — even at peak load.
Idempotent commands, append-only ledger and automated reconciliation.
Horizontal scaling on Kubernetes, capacity planned around market hours.
Traces, metrics and SLO alerts — see incidents before users do.
Short feedback loops, measurable delivery and ownership well beyond go-live.
Business goals, regulatory constraints and technical risks. Feasibility before commitment.
1–2 weeksTarget architecture, data model, ledger schema and interface prototypes.
2–3 weeksTwo-week sprints, working software every sprint and transparent metrics.
Per sprintCI/CD, monitoring, incident management and a controlled handover to your team.
OngoingIn a 30-minute call we'll clarify scope, risks and roadmap.