What We Do
End-to-end digital product engineering for the AI era — from agentic systems and quantitative trading to full-stack web and mobile platforms.
AI & GenAI Solutions
Design and deploy LLM-powered agent workflows to assist with KYC review, document summarization, trade reconciliation, compliance Q&A, and report generation. Human oversight is essential for regulated decisions.
- LLM prompt engineering, fine-tuning, and RAG pipelines
- Multi-agent systems with LangGraph, CrewAI, and Google ADK
- ReAct, self-reflection, and hierarchical delegation patterns
- Vertex AI / Gemini deployment and orchestration
- LLM-native observability: tokens/sec, cost-per-request, tracing
Algorithmic Trading
Build, backtest, and deploy quantitative strategies and automated execution systems across equities, futures, and crypto markets.
- MetaTrader 4 to Python migration (Interactive Brokers SDK)
- ML-based signal pipelines and model-driven decisioning
- Automated crypto arbitrage (Binance / Bybit APIs)
- Funding-rate and futures-spot discrepancy capture
- Event-driven state management and production tracing
Data Analytics & Engineering
Transform raw data into actionable insights with modern data pipelines, visualization, and machine learning.
- Custom web scraping and data aggregation systems
- Data processing with Python, Scrapy, and cloud-native tools
- Interactive dashboards and data visualization
- ML inference pipelines with PyTorch and Hugging Face
- Data readiness and integration for AI agent workflows
Web & Mobile Applications
Deliver scalable, secure digital products with modern frameworks and applied AI features integrated into production.
- Full-stack web apps with Next.js, Laravel, and React
- Cross-platform mobile apps with Flutter
- API design, integration, and microservices architecture
- Cloud-native deployment on GCP and AWS
- ML inference integration into user-facing features
Cloud Architecture & DevOps
Architect, migrate, and optimize applications across microservices, monolithic, and cloud-native infrastructures.
- GCP and AWS cloud architecture and migrations
- Microservices and serverless application design
- Containerization, CI/CD, and infrastructure as code
- Database design, migration, and optimization
- Production observability, tracing, and cost optimization
Fintech & AI Advisory
Advise financial services firms on GenAI strategy, legacy modernization, and automation opportunities. We do not provide regulated investment or legal advice.
- GenAI use-case discovery and ROI prioritization
- Legacy infrastructure modernization roadmaps
- AI agent prototyping and production integration
- Vendor and partner management for AI/ML platforms
- SLA tracking, contract negotiation, and cost control
Technologies We Use
A modern, battle-tested stack chosen for performance, scalability, and AI-native product delivery.
Python
PyTorch / Hugging Face
Vertex AI / Gemini
Next.js / React
Laravel
AWS
GCP
Flutter
AI systems are assistive, not autonomous. Outputs from LLMs and agent workflows can contain errors or hallucinations and should be reviewed by qualified human experts — especially in regulated areas such as finance, compliance, and legal. Algo HK builds tools to support human decision-making; we do not provide investment, legal, or compliance advice.
Ready to Bring Your Idea to Life?
Whether you have a fully-formed concept or a rough idea, our team can help you build intelligent, production-ready digital products.