VYROX builds a private Large Language Model on hardware you own - not a cloud server. 100% data privacy, full offline use, and zero monthly subscriptions. We size the GPU, install Ollama / vLLM / LM Studio with Qwen3.6, Kimi K2.6, GLM-5.1 or DeepSeek V4, tune it, and hand it over working.
Founded 2015 · led by Ts. Dr. Leong Yee Rock - engineers who size, build & commission the system, then hand it over working. No black box, no lock-in.
What is VYROX AI
The missing layer between a raw LLM and a company that actually runs on it.
A foundation model like Qwen3.6, Kimi K2.6 or DeepSeek V4 is a brilliant generalist - and it knows nothing about your company. It has never seen your product catalogue, your pricing, your customers, your past decisions or your KPIs. Plugging staff straight into a raw LLM gets you generic, forgettable answers. VYROX AI is the value-creating layer in between - the engineering, the fine-tuning, and the continuously learning system that turns a generic model into your company's private intelligence, working for your employees, your customers and your decision-makers, every day, on hardware you own.
Without VYROX AI - a raw, generic LLM
Knows public internet knowledge, not your business
Can't tell your products, prices or policies apart from a competitor's
Has no memory of your past decisions, goals or KPIs
Answers in a generic voice, not your brand's
Same mediocre output on day 1 and day 1,000
Nothing but a chat window - no agents, no automation
With VYROX AI - your company's private model
Fine-tuned on your product, service, customer and support data
Answers grounded in your real facts, tone and brand style
Remembers your decisions, goals, targets and KPIs
Speaks with one consistent voice to staff and customers alike
Gets measurably more accurate the more your team uses it
Ships as agents that plan, act and automate your workflows
VYROX AI doesn't just sit in the middle - it adapts both sides at once: fine-tuning the model toward your business, and shaping your workflows to what the model does best, so the two meet in the middle for the best possible outcome.
Why it compounds
The more your company uses it, the more valuable it gets - the flywheel.
1
Fine-tune on your product, service, customer & support data
2
Employees & customers use it daily for real decisions and questions
3
Every decision, outcome & KPI update feeds back into the model
4
Recommendations get sharper, more goal-aligned, more trusted - repeat
This is the difference between renting a generic chatbot and owning a compounding intelligence asset. A subscription to ChatGPT or Claude never learns your business - it resets every conversation. VYROX AI is built to remember, accumulate and improve, so the value it creates keeps growing for as long as your company uses it.
Beyond individual answers
A shared source of truth that aligns people - and sharpens every decision.
Most AI tools optimise for one person typing one prompt. Because VYROX AI is trained on the whole company's data and fed by everyone who uses it, its biggest impact shows up a level higher - in how teams talk to each other, and in how leadership decides.
Sharper communication & coordination
One consistent voice - sales, support and operations pull answers from the same trained model, so no two departments give a customer conflicting information.
Faster hand-offs - context (customer history, past decisions, open issues) travels with the conversation instead of living in one person's inbox or head.
Cross-team visibility - a single query can surface how sales, support and operations each touched a case, closing the gaps where things normally fall through the cracks.
Less status-chasing - anyone can ask "where do we stand on X?" and get a grounded answer instead of pinging three people and waiting.
Institutional memory that survives turnover - tribal knowledge locked in senior staff's heads becomes a shared, queryable asset the whole team can draw on.
Better strategy formulation & decision-making
Evidence over instinct - recommendations are weighed against your actual historical outcomes, goals and KPIs, not gut feel or the loudest voice in the room.
Options, not opinions - decision-makers see multiple viable paths with trade-offs laid out, plus a recommended choice, before committing.
Faster consensus - a shared, data-grounded analysis gives every stakeholder the same starting point, cutting the back-and-forth that stalls decisions.
Forward-looking, not just reporting - goes beyond dashboards that show what happened, to modelling what's likely to happen if a given strategy is chosen.
Continuously recalibrated - as targets shift and new outcomes come in, the model's guidance updates with them, instead of running on a stale quarterly plan.
How the adaptation works
Five engineering layers, not a prompt template.
"Adapting both sides" isn't a slogan - it's a concrete technical pipeline VYROX builds and operates for you, using the same techniques the frontier AI labs publish, applied to your business.
Layer
What it does
Built with
1 · Data layer
Ingests and cleans your product, service, customer, support-ticket, design and decision data into a structured, searchable knowledge base.
Document parsing, embeddings, vector DB (Qdrant)
2 · Knowledge layer (RAG)
Retrieves the exact facts relevant to a question before the model answers, so responses are grounded and citable, not hallucinated.
Retrieval-Augmented Generation, nomic-embed
3 · Alignment layer (fine-tune)
Shapes the model's tone, format and judgment to match your brand voice, support style and internal standards - behaviour, not just facts.
LoRA / QLoRA fine-tuning on curated examples
4 · Goal layer
Encodes your current goals, targets and KPIs as context the model weighs in every recommendation, so outputs stay commercially relevant.
Structured KPI/goal context, decision-history RAG
5 · Feedback layer
Captures outcomes - which recommendation was chosen, what happened - and periodically retrains the model so it keeps improving.
Continuous fine-tuning cycle, human review gate
Layers 1-2 typically ship first (fast, low-risk, immediately useful); layers 3-5 are added as your team's usage and data mature - the same crawl-walk-run path used across our chatbot → workflow → agentic spectrum.
01 / THE BRIDGE
An intermediary layer, not a raw model
VYROX AI stands between the open-weight LLM and your organisation. It handles everything the raw model can't do on its own - understanding your business context, staying current, enforcing your rules - so employees and customers get a system that speaks fluent "your company," not a generic chatbot.
02 / TRAINED ON YOU
Fine-tuned on your own data
We fine-tune the custom LLM on your product and service catalogue, customer records and history, design and brand style, and your customer-support tone - so answers sound like your company and are backed by your facts, not the model's generic guesses.
03 / GROWS WITH YOU
Gets smarter the more it's used
Every interaction - past decisions, current goals, targets and KPIs - feeds back into the model through the feedback layer above. The more your team uses their VYROX AI, the more accurate and business-aware it becomes.
04 / DECISION SUPPORT
Proposes, predicts and plans
Because it's grounded in your real decision-making history, goals and KPIs, VYROX AI can lay out solution alternatives with a recommended option, forecast outcomes, and help design the strategy and roadmap a decision-maker needs to raise profit and cut cost.
05 / AGENTIC AUTOMATION
Builds AI agents, not just answers
Beyond conversation, VYROX AI designs and deploys agentic AI agents that plan, call your internal tools and systems, and execute multi-step workflows on their own - automating the repetitive operational work behind the scenes.
06 / FOR EMPLOYEES
An instant expert colleague
Staff get accurate answers on policy, process, products and pricing in seconds instead of hunting through documents or waiting on a senior colleague - trained on your SOPs, not generic best practice.
07 / FOR CUSTOMERS
Support & sales that know your catalogue
Customer-facing chat and voice that actually knows your products, stock, pricing and support history - consistent, on-brand, and available around the clock without adding headcount.
08 / FOR LEADERSHIP
A strategy co-pilot, not just a report
Leadership gets a system that reasons over the company's own goals and numbers - not a static dashboard, but a co-pilot that can be asked "what should we do about this?" and answer with your context in mind.
For decision-makers, VYROX AI
What that looks like in practice
Proposes alternatives
Lays out multiple viable solutions to a business problem, each with trade-offs, and highlights the one it recommends.
Predicts outcomes
Uses your historical decisions and current KPIs to forecast where a choice is likely to land.
Plans & designs strategy
Drafts the roadmap and milestones to move from where the company is to where its targets say it should be.
Optimises profit & cost
Aligns every recommendation to your stated goals - maximise revenue and margin, minimise waste and spend.
Automates the follow-through
Hands the repetitive execution to purpose-built AI agents, so people focus on the decisions only they can make.
Keeps it private & compliant
Runs on hardware you own, so the goals, KPIs and decisions it learns from never leave the company - see Security & compliance.
The comparison people actually ask about
VYROX AI vs. a ChatGPT/Claude subscription with "custom instructions"
Dimension
Cloud subscription + custom prompt
VYROX AI
Business knowledge
Whatever you paste into the prompt each time - shallow, easy to forget or omit
Fine-tuned + RAG over your full product, customer and support data
Learns from usage
No - every conversation starts from zero
Yes - feedback layer retrains on real outcomes over time
Data residency
Leaves your building to a third-party cloud
Stays on hardware you own; PDPA-aligned by design
Cost model
Recurring per-seat / per-token, scales with usage forever
One-time build; then the cost of electricity
Automation
Manual copy-paste or fragile browser add-ons
Native agentic workflows wired into your systems via MCP
Ownership
You rent access; vendor can change price, limits or terms
You own the model, the data pipeline and the infrastructure
In short
VYROX AI is not "another chatbot." It's the trained, private, continuously-learning layer that turns a generic LLM into your company's own intelligence.
It knows your business, thinks toward your goals, and gets more valuable every day your people use it. Anyone can point staff at a public chatbot - only VYROX AI turns that raw model into a private system trained on your data and built to compound in value, so the intelligence your company owns tomorrow is smarter than the one it has today.
Everything you need to decide - one topic at a time.
The full picture lives across six focused pages: what a private LLM can do for you, which models and hardware fit, what it costs, and why local wins. Start anywhere.
From first call to in-production - in 4 to 8 weeks.
A clear, six-phase engagement. Indicative timelines for a typical SME deployment; you get something concrete at every step.
Free Audit 2-5 days
We map use cases, review your data and infrastructure, and assess fit. You get: a written findings summary and an honest local-vs-cloud-vs-hybrid recommendation. No cost, no obligation.
Spec & Quote 3-7 days
We design models, hardware sizing, deployment mode, integrations and security controls. You get: a detailed spec and a fixed-price quote in RM with timeline.
Procure & Build 1-3 weeks
We source and configure hardware (or provision your VPC), install the stack, and build your RAG/data pipeline. You get: a configured, tested system; procurement handled for you.
Install & Integrate 3-7 days
We deploy on your premises (or tenancy) and connect data sources, SSO and existing tools. You get: a live, integrated, security-hardened system.
Tune & Train 1-2 weeks
We tune retrieval and prompts on your real data, run accuracy checks, and train your staff. You get: a validated system, trained users, and docs (EN/BM).
Ongoing Support continuous
Monitoring, updates, model upgrades and a support line. You get: SLA-backed support and a roadmap for new use cases.
Stop guessing - get the numbers
We'll size your exact build and put the break-even date in writing.
A free 45-minute Local-AI Audit: your real cloud spend today, the right hardware, the models, and the costed payback - no obligation, no sales deck.
Book a free 45-minute Local-AI Audit. We measure your current cloud spend, spec the exact build, and give you the costed break-even date - in writing, no obligation.
