Trading Systems Development
Scalable algorithmic trading infrastructure, strategy engineering, and risk-aware execution.
ExploreInnovative AI Solutions and Algorithmic Trading Excellence
Driven by Your Vision
We go beyond traditional consulting with personalised, forward-thinking solutions and partnership at every stage of your journey.
Vision-Aligned Outcomes
Future-Ready Technologies
Fast, Reliable Execution
Services We Offer
From strategy to execution, we are with you at every step.
Why Us
Innovation
We stay at the frontier of technology and apply practical innovation to real business outcomes.
Expertise
With 6+ years across algorithmic trading, AI, and blockchain, we design systems that scale with your growth.
Professionalism
Clear communication, transparent execution, and reliable delivery are built into every engagement.
Commitment
We honor timelines and ship durable, production-ready solutions focused on long-term value.
Client Onboarding Process
A structured delivery workflow designed for clarity, speed, and long-term reliability.
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Phase 01
Discovery & Alignment
We start with a focused consultation to understand your business model, technical constraints, and success metrics.
Outcome: Clear project goals and delivery priorities.
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Phase 02
Architecture & Proposal
We define the solution architecture, scope, timeline, and delivery plan with transparent effort estimates.
Outcome: A practical roadmap with milestones and ownership.
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Phase 03
Kickoff & Sprint Planning
Once approved, we initiate delivery with sprint-level planning, communication cadence, and execution checkpoints.
Outcome: Fast start with predictable and measurable progress.
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Phase 04
Build & Iterate
Our team builds in short feedback loops, sharing regular updates and refining implementation with your input.
Outcome: High-quality development with continuous alignment.
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Phase 05
QA, Security & Launch
We run rigorous testing, validate reliability, and deploy with a controlled rollout strategy tailored to your environment.
Outcome: Production-ready launch with reduced risk.
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Phase 06
Support & Scale
After go-live, we continue with monitoring, optimizations, and roadmap support for future feature expansion.
Outcome: Long-term performance and sustainable growth.
Case Studies
Real examples of strategy-to-production delivery outcomes.
Polykern GmbH — Zurich, Switzerland
Full-Stack Low-Latency Market-Making System
Architected and deployed a proprietary HFT market-making system from scratch, operating live on Binance and OKX with a ~12 ms hot-path execution engine and cross-venue options hedging on Deribit.
Read case studyStratos Capital Management — Dubai
Cross-Exchange Smart Order Routing & Execution System
Built a production-grade Smart Order Router and Consolidated Order Book engine to execute large-notional crypto orders across fragmented venues with minimal market impact.
Read case studyRimath Group — Saudi Arabia
Sponsored Liquidity Provisioning System for Tadawul
Designed and delivered a market-making system for the Tadawul stock exchange, providing continuous two-sided quoting with inventory-driven spread control and KPI tracking aligned with exchange requirements.
Read case studyDubai Capital Management — Dubai
AI-Driven Portfolio Management System
Designed a deep learning portfolio management system translating neural network outputs directly into deployable portfolio weights, with a custom risk-adjusted cost function and multi-regime backtesting.
Read case studyPerfusion Mind — AI Product Platform
Low-Latency Multi-Agent Intelligence System
Designed and deployed a production multi-agent intelligence system using a mixture-of-experts setup, with speculative parallel execution and shared memory for faster, deeper reasoning.
Read case studyBaker Triangle — Legal AI Platform
Enterprise Legal RAG with Retrieval Precision Engineering
Built a multi-tenant legal RAG platform with dynamic chunking, hybrid retrieval, reranking, and metadata-aware search to improve precision and trust in high-stakes legal workflows.
Read case studyAI Traveller — Consumer Planning Product
Autonomous Planning System with Constraint-Based Optimization
Developed an agentic planning system that combines web data extraction, contextual reasoning, and constraint-based optimization to generate end-to-end itineraries with minimal user input.
Read case studyAI Image Enhancer — PropTech Imaging Workflow
Research-Driven Computer Vision Pipeline for Real Estate Imaging
Designed a production image enhancement pipeline for real estate photography, combining low-light enhancement, contrast correction, and super-resolution with model benchmarking and quality validation.
Read case studyOhm Outdoor — Property Visualization Platform
Satellite-to-Ground AI Visualization System
Developed a system that transforms satellite imagery into realistic front-facing property visualizations and applies generative style variants at scale.
Read case studyAI Wardrobe — Fashion Recommendation Product
Vision-Based Outfit Recommendation & Styling Engine
Built a computer-vision and recommendation platform that combines clothing embeddings, attribute tagging, and hybrid ranking logic for personalized outfit generation.
Read case studyGreyhound Racing Analytics — Quant Research Initiative
Predictive Modeling & Edge Detection System
Developed a predictive analytics system in a noisy market environment using feature engineering, baseline tree models, and learning-to-rank methods to identify potential inefficiencies.
Read case studyFrom The Blog
Technical insights on smart order routing, market making, quantitative strategy design, and production AI systems.
When AI Costs Drift in Production: How to Detect It Early and Build Reliable LLM Unit Economics
A practical guide to identifying silent AI cost drift in production systems, instrumenting the right metrics, and controlling spend without hurting response quality.
Read postBlack-Scholes Explained: Pricing Options, Reading Premiums, and Where the Model Breaks
A practical explanation of the Black-Scholes options pricing model, what every term means, how it connects to the order book, and where it fails in real markets including crypto.
Read postHigh Frequency Trading and the New Market Makers: What Changed in Modern Liquidity
A plain-English guide to how high frequency trading firms became modern market makers, what improved, what got riskier, and why it matters for execution quality.
Read postReady to Build With Helios?
Tell us your goals and we will propose a tailored execution plan.
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