AI & Machine Learning Solutions
Custom AI systems that solve real problems. From document retrieval to robotics integration—practical AI, not hype.
Beyond ChatGPT Wrappers
Everyone's offering "AI solutions" now. Most are thin wrappers around ChatGPT with a logo. We build custom AI systems tailored to your specific workflows, data, and constraints.
Whether you need intelligent document processing, automated decision support, or integration with physical systems—we design and deploy AI that works within your infrastructure, respects your data privacy requirements, and delivers measurable value.
We build production systems, not demos.
Core Capabilities
RAG Systems & Document Intelligence
Retrieval-Augmented Generation that actually works. Custom knowledge bases, semantic search, document Q&A systems. Your documents become queryable intelligence.
Process Automation with AI
Intelligent automation that handles exceptions, learns from corrections, and improves over time. Classification, extraction, routing, and decision support.
Custom Model Fine-Tuning
When off-the-shelf models aren't enough. Fine-tuning for your domain, your terminology, your edge cases. Models that understand your business.
Offline & Air-Gapped Systems
AI that runs entirely on your infrastructure. No data leaves your network. Critical for sensitive industries, compliance requirements, or unreliable connectivity.
Agentic Workflows
AI agents that can reason, plan, and execute multi-step tasks. Tool use, function calling, and orchestration of complex workflows.
Integration & APIs
Connect AI capabilities to your existing systems. API development, webhook automation, database integration. AI that fits your infrastructure.
Multi-Modal AI
Beyond text—we work across all data modalities
Text & Documents
PDFs, contracts, emails, reports. Extraction, summarization, Q&A.
Vision & Images
Object detection, OCR, quality inspection, document digitization.
Audio & Speech
Transcription, speaker diarization, sentiment analysis, voice commands.
Video Analysis
Activity recognition, object tracking, content moderation, surveillance analytics.
Robotics & IoT
Sensor fusion, control systems, autonomous navigation, physical automation.
Structured Data
Predictive analytics, anomaly detection, time series forecasting, classification.
Expert Systems
AI systems that encode domain knowledge and apply it consistently. Two distinct approaches for different use cases:
Aggregate Knowledge Systems
Pattern recognition across large datasets. The AI learns from historical data to identify trends, anomalies, and best practices.
Use cases:
- Market analysis from historical data
- Customer behaviour patterns
- Operational benchmarking
- Risk scoring from aggregate claims
- "What do similar companies do?"
Probabilistic answers based on patterns—useful for insights and recommendations.
Authoritative Knowledge Systems
Factual retrieval from definitive sources. The AI retrieves and applies specific rules, regulations, and standards—not patterns.
Use cases:
- Legal compliance checking
- Building code requirements
- Industry standards (ISO, AS/NZS)
- Tax regulations and thresholds
- "What does the law actually say?"
Deterministic answers with citations—critical where accuracy is non-negotiable.
The key difference: Aggregate systems say "based on 1,000 similar cases, this typically happens." Authoritative systems say "Section 47(3) of the Act requires X." Different architectures, different validation approaches, different use cases. We build both.
Example Applications
Intelligent Document Processing
Automated extraction from invoices, contracts, forms. Classification, validation, and routing. Exceptions flagged for human review. Integrates with your existing document management.
Internal Knowledge Base
RAG system across your policies, procedures, and historical documents. Staff can ask questions in natural language and get accurate, sourced answers. Reduces repetitive queries and preserves institutional knowledge.
Quality Control Automation
Computer vision for manufacturing inspection. Detect defects, measure tolerances, classify products. Real-time feedback on production lines. Reduces manual inspection costs and improves consistency.
Meeting Intelligence
Automated transcription, speaker identification, action item extraction. Searchable archive of all meetings. Summary generation and follow-up tracking.
Customer Service Augmentation
AI that handles routine queries, escalates complex issues, and provides agents with real-time information. Not replacing humans—making them more effective.
Predictive Maintenance
Sensor data analysis to predict equipment failures before they happen. Anomaly detection, trend analysis, and maintenance scheduling optimization.
Deployment Options
We deploy AI where it makes sense for your requirements—cloud, on-premise, or hybrid.
Technology Stack
We work with the leading AI frameworks and can adapt to your existing technology environment.
Large Language Models
Frameworks & Tools
Vector Databases & Search
Infrastructure
How We Work
- Discovery & Requirements — Understand your workflow, data, constraints, and success criteria. What problem are we solving? What does success look like?
- Proof of Concept — Build a focused prototype to validate the approach. Test with real data. Identify edge cases early.
- Production Development — Build the full system with proper error handling, monitoring, and security. Integration with your existing systems.
- Deployment & Training — Deploy to your chosen environment. Train your team on usage and maintenance. Documentation and handover.
- Iteration & Support — AI systems improve with feedback. Ongoing refinement based on real-world performance. Support as needed.
Related Services
Workflow Automation
AI-enhanced automation for business processes. Combine AI intelligence with system integration.
Learn More →Custom Dashboards
Visualize AI outputs with real-time dashboards. Analytics and monitoring for AI systems.
Learn More →Technical Infrastructure
Secure infrastructure for AI deployment. GPU servers, containerization, and scaling.
Learn More →Discuss Your AI Project
Start with a conversation about what you're trying to achieve