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AI built for production, not demos.
Seven services that take AI from idea to a system your team relies on. Custom models, agents and automation, handled directly by Webline.
What we build.
LLM fine-tuning
We fine-tune open and commercial language models on your own data, so answers sound like you and get your domain right the first time.
LoRA adapters
LoRA trains a thin layer on top of an open model instead of the whole thing, so you get a specialised model in days, on modest hardware, with weights you fully own.
AI agents
We build AI agents that read, decide and act inside your systems: CRMs, ERPs, inboxes and spreadsheets, with guardrails and a human in the loop where it matters.
WhatsApp AI agents
We build AI agents on the official WhatsApp Business Platform that answer customers, take bookings and orders, and update your systems, in English, Sinhala and Tamil.
Agentic workflows
We automate whole processes, not single tasks: AI steps that read, decide and act, chained with your existing tools and a human approval wherever the stakes are high.
RAG knowledge assistants
We build assistants that search your documents, policies and data before they answer, then show exactly where each answer came from.
Private LLM deployment
We deploy language models on your own servers or private cloud, so sensitive data never reaches a third-party API, with performance and security engineered in.
Live demo
Meet the agent that answers at 2 AM.
Pick a scenario and chat with a sample WhatsApp agent. Every reply does real work in your systems: bookings, records and reminders.
Interactive demo with sample data. Nothing is sent anywhere.
Workflows that run themselves, and know when to ask.
Agentic workflows chain AI decisions with the tools you already use, and stop for a person when the stakes are high.
Model-agnostic, by design.
We choose the right model for each task on quality, cost and privacy, and keep you free to switch.
How an AI project runs.
Listen
We learn the process, the data and the numbers you want to move.
Prove
A working pilot on your real examples, usually within weeks.
Build
Production integration, guardrails, monitoring and a Nyoxa security review.
Run
Support, retraining and monthly improvements as your business changes.
Fair questions.
Is our data safe with AI?
Your data is used only for your project. We can keep it in your own cloud account or on your own servers, it is never used to train shared models, and every system gets a security review by Nyoxa before launch.
Do you support Sinhala and Tamil?
Yes. Our agents and assistants handle English, Sinhala and Tamil, including the mixed and transliterated messages people actually send.
Which AI models do you use?
We are model-agnostic: OpenAI, Anthropic Claude and Google Gemini, plus open models such as Llama, Mistral and Qwen. We choose per task on quality, cost and privacy, and you can switch later.
How long does a first project take?
A focused pilot, such as a WhatsApp agent or a knowledge assistant, typically goes live in three to six weeks. Larger fine-tuning or multi-system workflows take longer, and we scope them before you commit.
What does it cost?
It depends on scope, so we start with a fixed-price discovery and pilot. You see real results on your own data before any larger investment.
Start with one process.
Pick the task that costs your team the most hours. We will pilot an AI solution on your real data within weeks.