Stuxio AI
Private AI systems built on your own documents, data and workflows.
We help organisations deploy, customise and integrate private Large Language Model systems using suitable open models, secure infrastructure and organisation-owned information — locally, on-premise, in a private cloud or through a secure hybrid environment.
How it works
Retrieval before generation — so answers are grounded, not guessed.
A Retrieval-Augmented Generation system searches your approved sources first, then asks the model to answer using only what it found. The result is a response you can trace back to a document.
- Step 1
Approved sources
Policies, SOPs, contracts, reports, archives
- Step 2
Retrieval
Permission-aware search across your knowledge base
- Step 3
Private model
Runs locally, on-premise, private cloud or hybrid
- Step 4
Answer with references
Grounded response, sources shown, basis reviewable
Deployment options
Four ways to run it — chosen against your hardware, users and security requirements.
Before anything is installed we assess the use case, the hardware, the number of expected users and whether local or cloud processing is the right fit.
Local
A GPU workstation or server inside your office, fully offline if required.
On-premise
Rack-mounted infrastructure in your own data centre or server room.
Private cloud
Dedicated cloud infrastructure under your organisation’s control.
Hybrid
A secure split between local processing and private cloud capacity.
Service catalogue
Nine capability groups across the private AI lifecycle.
From use-case assessment and data preparation through deployment, customisation and long-term support.
Private AI Deployment
We install and configure private AI models on client-controlled infrastructure.
Includes
- Use-case assessment
- Hardware assessment
- GPU and server planning
- Model selection
- Local LLM installation
- Private-cloud deployment
- Internal network deployment
- Model optimisation
- User-access configuration
- System documentation
- Backup and recovery planning
Enterprise Knowledge AI
We create AI assistants that can search and work with an organisation’s approved knowledge.
Includes
- Company policies
- Standard operating procedures
- Contracts
- Reports
- Research documents
- Technical manuals
- Historical archives
- Medical references
- Agricultural records
- Training materials
- Meeting records
- Product information
- Internal databases
- Frequently asked questions
Retrieval-Augmented Generation
We develop RAG systems that retrieve information from approved sources before generating an answer.
Includes
- Improve answer relevance
- Reduce unsupported responses
- Display source references
- Keep knowledge updated
- Control document access
- Separate department knowledge
- Apply user permissions
- Review the basis of generated answers
AI Application Development
We design and develop AI-powered applications based on real organisational requirements.
Includes
- Internal AI assistants
- Document-search platforms
- Legal-document assistants
- Financial-analysis assistants
- Policy assistants
- Research assistants
- Medical knowledge systems
- Historical archive systems
- Agricultural advisory systems
- Customer-support assistants
- Employee onboarding assistants
- Proposal-writing systems
- Meeting-summary systems
- Intelligent document-processing platforms
- Secure AI web portals
- AI-powered mobile applications
AI Workflow Automation
We integrate AI into existing organisational processes.
Includes
- Document classification
- Data extraction
- Report preparation
- Email drafting
- Form processing
- Information retrieval
- Audio transcription
- Video transcription
- Summary generation
- Translation
- Customer-inquiry routing
- Compliance checking
- Document comparison
- Research assistance
- Administrative automation
Model Customisation and Fine-Tuning
We customise suitable AI models according to an organisation’s language, terminology, communication style and workflows.
Includes
- Malay and English support
- Industry terminology
- Internal vocabulary
- Brand tone of voice
- Structured answer formats
- Business rules
- Department-specific instructions
- Document templates
- Classification tasks
- Information extraction
- Standardised report generation
Data and Knowledge Preparation
We prepare organisational information for use in AI systems.
Includes
- Document collection
- File conversion
- Data cleaning
- Duplicate removal
- Metadata creation
- Document categorisation
- Optical character recognition
- Audio and video transcription
- Knowledge-base structuring
- Permission classification
- Dataset preparation
- Data-quality assessment
AI Infrastructure Consultation
We help organisations understand the hardware and infrastructure required for private AI.
Includes
- GPU workstations
- AI servers
- Storage requirements
- Model memory requirements
- Number of expected users
- Local-versus-cloud assessment
- Network requirements
- Power and cooling
- Security architecture
- Backup systems
- Scalability planning
- Estimated implementation cost
Training, Support and Maintenance
We provide training and continued support to help clients use their creative, digital and AI systems effectively.
Includes
- User training
- Administrator training
- AI prompting workshops
- Responsible AI awareness
- Knowledge-base management
- System monitoring
- Model updates
- Security updates
- Performance optimisation
- Technical support
- Application maintenance
- Website maintenance
- Content-system updates
- Workflow improvements
Fine-tuning is used where it offers a measurable advantage over prompt engineering, retrieval systems or workflow integration.
Getting started
Most organisations begin with a proof of concept.
A contained first step: one use case, a defined document set, and a working system you can judge before committing to wider deployment.
- 1Use-case assessment — what question should the system answer, and for whom?
- 2Document review — which sources are approved, and how are they permissioned?
- 3Hardware and infrastructure assessment — local, on-premise, private cloud or hybrid.
- 4Proof of concept — a working assistant on a defined subset of your knowledge.
- 5Evaluation — accuracy, relevance, source referencing and user response.
- 6Deployment and training — rollout, documentation, workshops and support.
Where it gets used
Assistants and automations built for specific work.
- Internal AI assistants
- Document-search platforms
- Legal-document assistants
- Financial-analysis assistants
- Policy assistants
- Research assistants
- Medical knowledge systems
- Historical archive systems
- Agricultural advisory systems
- Customer-support assistants
- Employee onboarding assistants
- Proposal-writing systems
- Meeting-summary systems
- Intelligent document processing
- Secure AI web portals
Our products
We build our own AI products, not only client systems.
Proven client solutions become products. The first is live and running today — applied computer vision on real events.
WeAir
LiveAI-organised event photos, delivered through fast cloud sharing — effortless for every photographer and participant.
A cloud photo platform for live events. Photographers upload once, and the platform indexes every frame by face and by any text it can read — bib numbers, names, signage. Attendees find the photographs they appear in from a single selfie or a bib number, then view, download or buy them.
Built for
- Running and marathons
- Weddings
- Conferences
- Golf events
- Pickleball
- Kindergarten
What it does
- Face recognition from a single selfie
- Bib-number and text search
- AI-organised event albums
- Photographer upload workspace
- Access-controlled and locked albums
- Watermarked previews
- Downloads and purchase checkout
- Google and email sign-in
- Cloud infrastructure on Firebase
Delivered work
AI we have already shipped.
Alongside private language-model deployment, we build applied computer-vision systems — including face recognition for large-scale event photography.
WeAir Asuf 2025
A face-recognition photo album that lets event attendees find every photograph they appear in — paired with the branding, content and launch system around the product.
View the case studyCreate Better. Operate Smarter.
Ready to scope a private AI proof of concept?
Tell us the use case and the documents involved. We will come back with a hardware assessment, a deployment option and what a first phase costs to prove.