AI Model Training:
Turn Your Data Into Competitive Advantage.
Build custom AI models trained on your proprietary data, tailored to Australian business context, deployed with ethical frameworks, and integrated into your systems.
Pragmatic.Ethical. Australian.
Off-The-Shelf AI Doesn't Understand Your Business.
Generic AI tools are trained on global datasets that don't reflect Australian regulations, industry terminology, or your specific business context. Your team faces:
- Accuracy issues: Pre-built models miss domain-specific nuances critical to your operations
- Data sovereignty concerns: Training data sent offshore, subject to foreign privacy laws
- Competitive disadvantage: Competitors using the same generic tools means no differentiation
- Integration gaps: Models that don't connect to your ERP, EDRMS, or business systems
You have valuable proprietary data: customer interactions, operational records, industry-specific documents. That data could train AI models that understand your business as well as your best employees do.
But custom AI model training seems expensive, complex, and only accessible to enterprises with massive budgets and data science teams.
Custom AI Models Built For Australian SMEs.
Current R&D: Our team is developing OCR models for healthcare document processing and training classification systems for SharePoint integration. We're building our first commercial case studies with founding clients.
AI Model Training: Build custom AI trained on YOUR data (more accurate, competitive advantage)
Need help deciding?
We'll assess your situation honestly during discovery.
Compare our services → See our page about AI integration
Contact Us
AI Model Training vs AI Integration: What's the Difference?
From Raw Data to Intelligent Systems.
Your business generates data every day: transactions, documents, customer interactions, operational records... Most of it sits unused. Custom AI model training transforms that dormant data into intelligent systems that predict, classify, recommend, and automate with accuracy tuned specifically to your business context.
Domain-Specific Understanding
Train AI that comprehends your industry terminology, business rules, and operational context. Whether it's medical terminology for healthcare providers, legal precedents for law firms, or manufacturing quality standards, your models learn what matters to your business.
Use cases: Industry-specific document classification, terminology extraction, context-aware search, compliance detection
Predictive Intelligence
Build models that forecast demand, identify risks, predict equipment failures, or recommend optimal actions based on your historical data patterns. Turn past performance into future competitive advantage.
Use cases: Demand forecasting, risk scoring, preventive maintenance, resource optimisation, customer churn prediction
Intelligent Search & Retrieval
Create custom embeddings and retrieval systems that understand the semantic meaning of your documents, not just keyword matching. Find relevant information across unstructured data sources in seconds.
Use cases: Legal research, technical documentation search, customer history lookup, policy retrieval
Document Intelligence
Train models to extract, classify, and validate information from your specific document types (invoices, medical records, contracts, forms...) with accuracy tuned to your formats and business rules.
Use cases: Invoice processing, medical record digitisation, contract analysis, form automation
Custom Chatbots & Virtual Assistants
Develop conversational AI trained on your business knowledge base, FAQs, product information, and customer service transcripts. Deploy intelligent assistants that sound like they work for your company.
Use cases: Customer support automation, employee self-service, appointment booking, technical troubleshooting
ERP-Integrated Intelligence
Leverage our ERP development expertise to embed custom AI models directly into your business systems. Train models that predict from your Odoo data, automate workflows, and surface insights within your existing operational dashboards.
Use cases: ERP-based demand forecasting, intelligent workflow routing, automated data validation, predictive analytics dashboards
AI Integration Across Australian Industries.
- Healthcare & Medical
- Legal Firms
- Manufacturing
- Construction
- Mining, Ressource & Energy
- Transport & Logistics
- Real Estate
- Hospitality
- Education & Training
- Small & Medium Businesses
Our Model Training Approach.
We don't rip out your existing systems or demand massive datasets before starting. We build AI capabilities that work with what you have, prove value with focused pilots, then scale based on results.
1. Data Assessment & Use Case Definition
We evaluate your available data, identify high-value AI opportunities, and assess feasibility honestly. Not every problem needs AI, and not every dataset is ready for model training. We'll tell you which is which.
2. Data Preparation & Engineering
We clean, label, balance, and augment your data to create robust training datasets. This includes synthetic data generation when needed to address class imbalances or data privacy requirements.
3. Model Development & Training
For specialised deep learning, computer vision, or large-scale NLP projects beyond our core capabilities, we collaborate with research partners while maintaining project coordination and ensuring your data sovereignty requirements are met.
4. Validation & Bias Testing
Every model undergoes rigorous testing for accuracy, fairness, and bias. We implement validation protocols aligned with our ethical AI commitments, ensuring models perform reliably across different scenarios and demographic groups.
5. Production Deployment & Integration
This is where our multidisciplinary capabilities deliver real value: we don't just hand you a model file; we embed it into Odoo workflows, SharePoint automation, EDRMS pipelines, or custom applications your team actually uses.
6. Monitoring & Continuous Improvement
AI models degrade over time as data patterns change. We implement monitoring dashboards, establish retraining protocols, and provide ongoing optimisation to maintain performance as your business evolves.
AI Approaches We Deploy.
-> Retrieval Augmented Generation (RAG)
-> Custom Embeddings
-> Classical Machine Learning
-> Ensemble Models
Combine multiple AI approaches to improve accuracy and robustness, particularly for high-stakes decisions requiring maximum reliability.
Deployment Options.
- Azure AI Services (Australian data centres)
- AWS SageMaker (Sydney region)
- On-Premises Infrastructure (your hardware)
- Hybrid Architectures (cloud + local deployment)
- All deployment options maintain Australian data residency and Privacy Act compliance.
Ethical AI Model Training.
Explainable AI
Human-in-the-Loop Validation
Every model training project includes governance framework development aligned with our AI Responsibly service, ensuring your AI deployment meets ethical standards and regulatory requirements.
AI Models That Work Within Your Business Systems.
Our ERP development capabilities differentiate our AI model training service. We don't just deliver trained models: we embed them into the systems you use daily.
Odoo ERP Integration:
- Predictive analytics dashboards within Odoo
- AI-powered workflow automation
- Intelligent data validation on forms and records
- Automated reporting with natural language summaries
Custom ERP Development:
- AI capabilities built directly into bespoke systems
- Training models on your ERP transactional data
- Seamless integration between AI predictions and business processes
Multi-System Intelligence:
- Models that work across Odoo + SharePoint + EDRMS
- Unified AI layer connecting disparate business systems
- Centralized intelligence serving multiple applications
Honest Assessment of AI Opportunities.
Not Every Problem Needs Custom Models.
We assess your AI opportunities realistically:
- Sometimes: Off-the-shelf AI tools solve your problem adequately
- Sometimes: AI integration into existing systems delivers better ROI than custom models
- Sometimes: Your data isn't ready yet, and we'll help you build the data foundations first
- Sometimes: Custom model training is exactly what you need
We'll tell you honestly which scenario applies to your situation. Our success depends on deploying the right solution, not selling the most expensive option.
The Tricore Tech Difference.
Multidisciplinary Expertise: We combine AI model development, ERP integration, and ethical governance in one team. Your models are trained by data scientists and deployed by systems integrators who understand business operations.
Pragmatic Approach: We train models for common SME use cases in-house and partner with specialized research institutions for advanced deep learning challenges. This honesty builds trust and delivers better outcomes than overpromising.
Australian Focus: Local data residency, Privacy Act compliance, and understanding of Australian business context differentiate our models from offshore alternatives trained on global datasets.
Production-Ready Deployment: We don't deliver research prototypes. Every model is integrated, tested, and deployed into your production systems with monitoring, documentation, and support.
SME Accessible: We make custom AI model training feasible for small and medium businesses through focused use cases, iterative development, and realistic pricing models.
Building Our First Case Studies.
We're honest: we're building our commercial track record. Our team possesses deep technical expertise (current R&D includes OCR model training for healthcare document processing and classification systems for SharePoint integration) but we're establishing our first client case studies.
Founding Client Opportunity: The first clients in each target sector receive discount on model training projects completed by March 31, 2026. You get production-ready AI at startup pricing. We get case studies and testimonials. Fair exchange.
This founding client program is limited to the first three clients per industry vertical. Contact us to discuss availability.
FAQ.
It depends on the complexity and use case. Some classification tasks work with hundreds of examples; others require thousands. We assess your data during discovery and recommend approaches (fine-tuning, RAG, synthetic data generation) that work with what you have.
Initial model development typically takes 6-12 weeks depending on data preparation requirements and model complexity. Production deployment adds 2-4 weeks for integration and testing.
Most business data is messy. We specialise in data engineering and preparation (cleaning, labelling, augmentation...) to create training datasets from imperfect source material.
No responsible AI provider guarantees specific accuracy levels before assessing your data and use case. We establish realistic performance targets during discovery and validate models rigorously before deployment.
AI models require ongoing maintenance as data patterns evolve. We establish monitoring protocols and retraining schedules, and offer support packages or train your team for independent management.
For advanced computer vision, large-scale NLP, or cutting-edge research challenges beyond our core capabilities, we collaborate with specialised AI research partners while maintaining project coordination, data sovereignty, and system integration.
Ready to Explore Custom AI Models?
Let's assess your data, identify AI opportunities, and determine whether custom model training delivers ROI for your specific situation.
No obligation. No pressure. Just honest conversation about what's possible with your data and realistic pathways to implementation.