AI That Drives Real Business Outcomes
Machine learning, generative AI, computer vision, and intelligent automation — engineered with rigor and grounded in your business goals.
From Prototype to Production AI
Most AI projects fail to leave the lab. Ours don't. Founded in November 2025, Cynix Digital brings an engineering-first mindset to AI: clean data pipelines, rigorous evaluation, observability, and a relentless focus on solving the real problem — not chasing the latest hype.
Our founder brings over 24 years of professional experience, having delivered AI and large-scale digital platforms across Asia, Europe, and Africa. At Cynix Digital, every project is led by seasoned practitioners who know how to ship production-grade AI — from LLM-powered knowledge systems to computer vision pipelines.
AI Development
Complete AI Development Capabilities
Custom ML Models
Classification, regression, recommendation, and forecasting models trained on your data.
LLM & RAG Systems
Knowledge-grounded chat, retrieval-augmented generation, and LLM fine-tuning for your domain.
Computer Vision
Document understanding, image classification, object detection, and visual quality inspection.
Intelligent Automation
AI agents and workflow automation that handle complex tasks end-to-end with human oversight.
MLOps & Data Pipelines
Training pipelines, feature stores, model registries, and continuous evaluation infrastructure.
AI Strategy & Audits
Pragmatic AI roadmaps, model risk assessments, and responsible AI governance frameworks.
Tools & Frameworks
We Master
We're tech-agnostic but opinionated. Here's the production-grade toolset we lean on for ai development engagements.
Frequently Asked Questions
What AI services does Cynix Digital offer?
We provide custom ML models, LLM integration and fine-tuning, retrieval-augmented generation (RAG), computer vision, intelligent automation, and MLOps infrastructure.
How do you ensure AI projects deliver real business value?
We take an engineering-first approach — clean data pipelines, rigorous evaluation, observability, and a focus on solving real problems rather than chasing hype. Our founder has 24+ years of experience delivering production AI.
Do you work with large language models?
Yes. We integrate, fine-tune, and deploy LLMs including OpenAI, Anthropic, and open-source models. We specialize in RAG systems that ground AI in your proprietary knowledge base.
How do you handle AI ethics and responsible AI?
We build responsible AI into every project with bias detection, safety reviews, model risk assessments, and transparent governance frameworks. It's not an afterthought — it's part of our process.
What is the typical timeline for an AI project?
We start with a proof of concept in 2-4 weeks, then iterate into production. Complex systems with custom ML models typically take 3-6 months to full deployment.
Ready to Transform Your Business?
Build secure, innovative, and sustainable digital solutions that drive long-term growth.