Services
What We Deliver Engineering that moves your business forward Three core pillars — from raw data infrastructure to live trading systems. We design, build, and optimize across the full stack. 01 Data Engineering From architecting data platforms to optimizing Spark pipelines at scale — we build the infrastructure that turns raw data
What We Deliver
Engineering that
moves your business forward
Three core pillars — from raw data infrastructure to live trading systems. We design, build, and optimize across the full stack.
01
Data Engineering
From architecting data platforms to optimizing 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. Multi-cloud strategies, data mesh architectures, and migration from legacy warehouses. We've architected platforms processing 50TB+ daily.
Spark & Pipeline Optimization
Production-tuned Spark optimization yielding 10-100X performance improvements. Shuffle tuning, liquid clustering, adaptive query execution, cost-based optimization, and real-world debugging of skewed joins and memory pressure at scale.
Real-Time Streaming & Data Pipelines
Event-driven architectures with Kafka, Spark Streaming, and Flink. 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 without human supervision.
Multi-Agent Orchestration
Deploy specialized Paperclip agents with CEO orchestration — each agent has its own context, tools, and decision-making capability. Automate content pipelines, code reviews, SEO monitoring, and trading research with autonomous 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 agents 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
Proprietary cycle-based trading systems with real-time market data ingestion, automated execution, and advanced analytics. Built on decade-tested methodology refined across equities, FX, and commodities.
Cycle-Based Trading Systems
Sophisticated cycle identification and translation methodology powered by Camel Finance concepts. Automated daily cycle detection, midpoint analysis, and inversion detection. DSS and PVSRA integration for high-conviction entries and exits.
Real-Time Data Infrastructure
Tick-level market data ingestion via cTrader and OANDA APIs. Custom calendar database tracking thousands of cycle events across equities, FX, and commodities. 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 with Lightweight Charts visualization, cycle analytics, and post-trade reporting. Backtested systems with real P&L tracking.
Not sure where to start?
Book a free consultation and we'll help you identify the biggest opportunities in your data infrastructure.