AI & Automation
Machine learning, computer vision, MCP integrations and workflow automation — shipped systems, including medical image classification and AI knowledge bases.
Put AI to work in your business
Artificial intelligence isn't just hype — used well, it removes repetitive work, speeds up decisions, and creates experiences that weren't possible before. Firebird AI builds practical AI features and automation into products and businesses across Malaysia.
Whether you want to add a single AI feature to an existing system or build an AI-first product, we help you choose the right approach for your budget and use case.
What we build
- Machine learning models — trained for your problem and your data, not adapted from a demo. We have built image classifiers reaching 87–92% on client datasets in medical imaging.
- Computer vision — classification, region detection and measurement from images, plus the applications that make model output usable by someone who is not an engineer.
- MCP integrations — exposing your systems and knowledge over the Model Context Protocol, so the AI agents your team already uses can operate them as tools rather than describe them back to you.
- AI knowledge bases — company knowledge that answers questions instead of sitting in documents.
- LLM integration — models like OpenAI and Claude connected into your products and workflows securely.
- Chatbots & virtual assistants — customer support and internal assistants grounded in your own material.
- Workflow automation — your tools connected so repetitive manual work happens automatically.
Practical, not experimental
We focus on AI that delivers real value: measurable time savings, better customer experience, or new revenue. We handle the hard parts — data pipelines, prompt engineering, evaluation, cost control, and security — so you get a reliable feature, not a science project.
That includes being straight about what a result means. An accuracy figure without the dataset it was measured on tells you very little, and a model that scores well overall can still perform badly on the cases that matter most. We would rather show you the number and its limits than an adjective.
How we work
We start by understanding the problem you want AI to solve, then recommend the simplest approach that works. We build, test against real cases, and deploy — with ongoing tuning as your needs grow.
Curious what AI could do for your business? Get a free consultation.
Frequently asked questions
What can AI realistically do for a Malaysian SME?
The practical wins are usually unglamorous and worth real money: customer-support chatbots that handle common questions, document and data extraction that replaces manual entry, smart search across your own files, content generation, and connecting tools so repetitive tasks happen automatically. We focus on measurable time savings or better customer experience — not AI for its own sake.
Do we need to train our own AI model?
Almost never. Most business problems are solved by connecting an existing model such as OpenAI or Claude to your own data using retrieval-augmented generation (RAG), which lets AI answer accurately from your documents without the cost and complexity of training. Fine-tuning is worth considering for consistent tone or a narrow repeated task, and we'll recommend the simplest approach that works.
Is our business data safe when we use AI?
It depends on how the integration is built, which is exactly why it matters who builds it. We design integrations so you control what data leaves your systems, use business-tier model APIs rather than consumer chat tools, and keep sensitive fields out of prompts where they aren't needed. We'll walk through data handling with you before anything is connected.
How much does it cost to run an AI feature?
Beyond the build, AI features carry an ongoing usage cost, billed by the volume of text the model processes. That cost scales with how much you use it, so it's small for an internal tool and more significant for a high-traffic customer chatbot. We handle cost control — caching, model selection, and limits — and give you a realistic running estimate during scoping.
We've built this
- An AI Knowledge Base Their Staff — and Agents — Can AskCompany knowledge that answers questions instead of sitting in documents — HR, claims, handbook, dev and consulting workflows, exposed to AI agents over MCP.
- Chest X-Ray Classification with TensorFlow and ReactA research web app classifying findings in uploaded chest X-ray images — a TensorFlow 2 model behind a React front end, at 91% on the client's dataset.
- Retinal Image Analysis with Unsupervised Lesion GroupingA research system that finds and measures affected regions in retinal images, groups them with unsupervised learning, and reached 92% on the client's dataset.
Related reading
- AI for a Malaysian SME: RAG vs Fine-Tuning, ExplainedA plain-English guide to the three ways to put AI to work in your business — prompt engineering, RAG, and fine-tuning — and how a Malaysian SME should choose.
- WhatsApp Business API in Malaysia: Cost & How It WorksWhat WhatsApp automation really costs a Malaysian SME — the free Business app vs the Business API, Meta's per-message rates, and what a custom build adds.
- PDPA Compliance in Malaysia: Does Your Business Need a DPO?What the amended PDPA means for Malaysian SMEs — when you must appoint a Data Protection Officer, the 72-hour breach rule, and what your systems need to do.
Let's build it together
Get a free consultation and a tailored quote — usually within one business day.
Get a free consultation