Custom AI Models & LLM Fine-Tuning
Train and fine-tune large language models on your proprietary data, and build secure Retrieval-Augmented Generation (RAG) pipelines so your knowledge stays inside your perimeter — never baked into a public model.
AI Development Services
Custom AI Models & Agentic AI built for real business outcomes
From LLM fine-tuning and RAG pipelines to autonomous multi-agent workflows — we design, build and deploy production-grade AI that's private, scalable and ROI-driven.
Core AI Capabilities we engineer end-to-end
Five focused capability tracks that take an idea from feasibility through to a production-grade AI system — with the data, infrastructure and observability to keep it reliable.
Agentic AI & Autonomous Workflows
Multi-agent systems with tool and API integrations that plan, reason and execute real digital workflows — from research and ticket triage to invoice processing — without a human in every loop.
Generative AI Engineering
Intelligent conversational bots, automated content and code generation, plus multi-modal solutions across text, image, voice and vision.
AI Integration & MLOps
Connect AI into your existing web and mobile apps with full model monitoring, evals, drift detection and cloud deployment on AWS, GCP or Azure.
AI Strategy & Consulting
Feasibility studies, ROI mapping and data-readiness audits so you invest in the AI use-cases that actually move the business.
The AI stack we build with
We work across the leading model providers, orchestration frameworks and inference runtimes — choosing the right tool for the task instead of forcing a single vendor.
OpenAI
Anthropic Claude
LangChain
LangGraph
LlamaIndex
Python
vLLM
Hugging Face
PyTorch
AWS Bedrock
GCP Vertex
Azure OpenAI
Why HK Infoway
AI that's secure, scalable and built to earn its ROI
Most AI pilots stall because they ignore data privacy, cost-per-call, or integration with the real systems people actually use. We engineer around those traps from day one.
Security & Data Privacy
VPC-isolated training, encryption at rest and in transit, role-based access and private deployment options — your data never trains a public model.
Cost-Aware Engineering
Right-sized models, smart caching, batched inference and prompt optimisation cut token spend by 40–70% without sacrificing quality.
Built to Scale
Production-grade architectures with autoscaling inference, observability, evals and rollback — ready for one user or one million.
Real Business Outcomes
Every engagement starts with a measurable KPI — support deflection, processing time, conversion — not a science project.
Free 30-min consultation
Have an AI use-case in mind?
Have an AI use-case in mind?
Let's see if it's worth building.
Book a no-obligation AI discovery call. We'll pressure-test feasibility, sketch an architecture, and give you a candid view on ROI — before a single line of code.
Book an AI Discovery Call
AI Development FAQ
Frequently asked questions
Still curious? Talk to our team and we’ll answer anything specific to your project.
We build custom AI models, fine-tune LLMs on proprietary data, implement RAG pipelines, design agentic AI workflows, deliver generative AI features, and handle full MLOps deployment on AWS, GCP or Azure.
We use VPC-isolated training, encryption at rest and in transit, role-based access, and on-prem or private-cloud deployment options for sensitive data. RAG keeps proprietary knowledge inside your perimeter rather than being baked into model weights.
OpenAI, Anthropic Claude, LangChain, LangGraph, LlamaIndex, Hugging Face, vLLM, PyTorch, Python, plus deployment on AWS Bedrock, GCP Vertex AI and Azure OpenAI.
Most discovery-to-pilot engagements run 4–8 weeks. A focused agentic workflow or RAG chatbot often pays back inside one quarter through saved support hours, faster ops, or higher conversion.
Not always. Many use cases work with pre-trained models, retrieval-augmented generation (RAG) on your existing documents, or fine-tuning on modest datasets. In our discovery phase we assess your data and recommend the most cost-effective approach.
Cost varies with scope — from a focused RAG chatbot to a full custom model or agentic workflow. We start with a fixed-scope pilot so you can prove value before committing to a larger build. Contact us for an estimate within 24 hours.