Custom AI Development for Australian Businesses
Build bespoke AI solutions tailored to your exact requirements. From machine learning models to computer vision to predictive analytics—you own the code, the models, and the competitive advantage.
Why Choose Custom AI Over Off-the-Shelf Tools?
Competitive Advantage
Your competitors can't replicate your AI because it's built specifically for your business logic, data, and processes. This is your proprietary technology.
Full Ownership & Control
You own all source code, models, and IP. No vendor lock-in, no per-user fees, no subscription costs that scale with success. Freedom to modify or take in-house anytime.
Perfect Fit for Your Workflows
No forcing your processes into someone else's software. We build AI that adapts to how you work, integrates with your exact systems, and handles your unique edge cases.
Better Performance
Models trained on your specific data outperform generic AI tools by 20-40%. Custom architecture optimized for your use case delivers faster, more accurate results.
Custom AI Development Capabilities
Machine Learning Models & Algorithms
Custom ML models trained on your data for classification, regression, clustering, and anomaly detection. From traditional algorithms to deep learning.
- Supervised learning: classification, regression, forecasting
- Unsupervised learning: clustering, dimensionality reduction, anomaly detection
- Deep learning: neural networks for complex pattern recognition
- Model selection, hyperparameter tuning, and performance optimization
Computer Vision & Image Recognition
Custom computer vision systems for object detection, image classification, quality inspection, and visual search. Train models on your specific visual data.
- Object detection and classification (YOLO, Faster R-CNN, custom architectures)
- Defect detection and quality control automation
- Optical character recognition (OCR) for documents and forms
- Facial recognition, pose estimation, activity recognition
Natural Language Processing (NLP)
Custom NLP solutions for text analysis, sentiment analysis, document classification, entity extraction, and conversational AI.
- Text classification and sentiment analysis
- Named entity recognition (NER) and information extraction
- Document summarization and key phrase extraction
- Custom language models fine-tuned for your domain
Predictive Analytics & Forecasting
Time series forecasting, demand prediction, risk modeling, and recommendation systems. Turn historical data into actionable predictions.
- Time series forecasting (ARIMA, Prophet, LSTM, Transformer models)
- Demand forecasting and inventory optimization
- Risk scoring and credit modeling
- Recommendation engines (collaborative filtering, content-based)
When Custom AI Development Makes Sense
Good Fit for Custom AI
- • Unique business processes or competitive advantage
- • Sensitive or proprietary data that can't go to third parties
- • Integration with complex legacy systems
- • High volume/scale where SaaS per-user fees become expensive
- • Need for explainability and transparency in AI decisions
- • Industry-specific requirements not met by generic tools
Consider Off-the-Shelf First
- • Generic use cases (email marketing, basic chatbots)
- • Limited budget (under $20K total)
- • Need solution in under 4 weeks
- • Experimenting/validating if AI adds value
- • No technical team to maintain custom solution
- • Commodity function with proven SaaS solutions
Not sure which approach is right? Read our guide: Custom AI vs. Off-the-Shelf Tools
Our Development Process
Discovery & Feasibility (Weeks 1-2)
Define the problem, evaluate data readiness, assess technical feasibility, and scope the MVP. Deliver proposal with fixed pricing, timeline, and success metrics.
Development & Training (Months 1-4)
Data preparation, model development, iterative training, and testing. 2-week sprint cycles with regular demos. You see working versions throughout, not just at the end.
Deployment & Handover
Production deployment on Australian infrastructure, documentation, team training, and code handover. 30 days of post-launch support included. You own everything.
Investment
Custom AI development projects typically range from $25,000 to $200,000+ depending on complexity, data requirements, and scope. Most projects take 3-6 months from kick-off to production deployment.
Small Project
$25K-$50K
- • Single use case
- • Clean, structured data
- • 2-3 months timeline
- • Basic ML models
Medium Project
$50K-$100K
- • Multiple use cases
- • Data preparation needed
- • 3-4 months timeline
- • Deep learning models
Large Project
$100K-$200K+
- • Complex ML pipelines
- • Real-time processing
- • 4-6+ months timeline
- • Production-scale infrastructure
What's Included
- Full source code ownership and IP rights
- Data preparation, model training, and optimization
- Production deployment on AWS Australia (Sydney region)
- Comprehensive documentation and training
- 30 days post-launch support and bug fixes