Services
What We Deliver Engineering that moves your business forward Three core practices — from raw data infrastructure to live trading systems. We design, build, and optimise across the full stack, and we stay until it runs reliably in production. 01 Data Engineering From architecting data platforms to optimising Spark pipelines at
What We Deliver
Engineering that moves your business forward
Three core practices — from raw data infrastructure to live trading systems. We design, build, and optimise across the full stack, and we stay until it runs reliably in production.
01
Data Engineering
From architecting data platforms to optimising Spark pipelines at scale, we build the infrastructure that turns raw data into reliable, high-performance systems.
Lakehouse Architecture & Platform Design
Design and build modern data platforms on Databricks, Delta Lake, and cloud infrastructure — including multi-cloud strategies, data-mesh architectures, and migrations from legacy warehouses. We have architected platforms processing 50TB+ daily.
Spark & Pipeline Optimisation
Production-tuned Spark optimisation yielding measurable 10–100× performance improvements: shuffle tuning, liquid clustering, adaptive query execution, cost-based optimisation, and real-world debugging of skewed joins and memory pressure at scale.
Real-Time Streaming & Data Pipelines
Event-driven architectures with Kafka, Spark Structured Streaming, and Flink. We build ingestion pipelines for tick-level market data, IoT streams, and real-time analytics dashboards with end-to-end latency guarantees.
02
AI & Agentic Systems
Design and deploy production AI systems — from RAG pipelines and LLM APIs to autonomous multi-agent platforms that execute complex workflows with the right human oversight.
Multi-Agent Orchestration
Deploy specialised agents under a central orchestrator — each with its own context, tools, and decision-making scope. Automate content pipelines, code review, monitoring, and research with coordinated agent teams.
LLM Pipelines & RAG Systems
Build retrieval-augmented generation systems with vector databases, semantic search, and context-aware LLM workflows — custom knowledge bases that give AI systems access to your domain expertise in real time.
ML Infrastructure & MLOps
Feature stores, model serving, experiment tracking with MLflow, and automated CI/CD for ML pipelines. We build the infrastructure that turns ML experiments into reliable production services.
03
Quantitative Trading Systems
Proprietary cycle-based trading systems with real-time market data ingestion, automated execution, and advanced analytics — built on a methodology refined across equities, FX, and commodities.
Cycle-Based Trading Systems
Cycle identification and translation methodology with automated daily cycle detection, midpoint analysis, and inversion detection. Indicator integration supports high-conviction entries and exits.
Real-Time Data Infrastructure
Tick-level market data ingestion via cTrader and OANDA APIs, backed by a custom calendar database tracking thousands of cycle events across asset classes — PostgreSQL-backed with automated cycle management and trading-plan generation.
Automated Execution & Analytics
Multi-asset execution via cTrader integration with risk-management guardrails, performance dashboards, cycle analytics, and post-trade reporting — backtested systems with real P&L tracking.
How We Engage
Every engagement begins with a free discovery call and a clearly scoped statement of work — defined deliverables, timeline, and transparent pricing. We work remotely with clients worldwide and finish with documentation, monitoring, and knowledge transfer so your team can run what we build.
Not sure where to start?
Book a free consultation and we will help you identify the biggest opportunities in your data infrastructure.