Enterprise AI Capabilities for Private Intelligence
Everything you need to build, train, deploy, and manage private AI models that understand your business better than any off-the-shelf solution ever could.
Core Capabilities
Six foundational capabilities that transform your proprietary data into a competitive advantage no competitor can replicate.
Data Sovereignty
Your proprietary data stays under your complete control at every stage of the AI lifecycle. No third-party model providers ever see your training data.
- Australian-hosted infrastructure with data residency guarantees
- Zero-trust architecture with encrypted data pipelines
- Complete audit trail of all data access and model interactions
- Option for on-premises or private cloud deployment
Custom Training Pipeline
Purpose-built training infrastructure that transforms your raw documents, databases, and expertise into a high-performance AI model.
- Automated data cleaning, deduplication, and quality scoring
- Support for PDFs, Word docs, databases, APIs, and unstructured text
- Incremental training for continuous model improvement
- Human-in-the-loop validation workflows for accuracy assurance
RAG (Retrieval Augmented Generation)
Ground your AI responses in real-time data by connecting your LLM to live knowledge bases, ensuring answers are always current and verifiable.
- Real-time document retrieval from your knowledge sources
- Citation tracking so every answer links back to source material
- Hybrid search combining semantic and keyword matching
- Configurable retrieval strategies for different use cases
Model Fine-tuning
Adapt leading foundation models to your specific domain, terminology, and output requirements without building from scratch.
- LoRA and QLoRA fine-tuning for cost-effective customisation
- Domain-specific evaluation benchmarks and test suites
- Automatic hyperparameter tuning for optimal performance
- Support for instruction tuning, RLHF, and DPO alignment
Vector Search & Embeddings
Convert your entire document corpus into searchable embeddings that power semantic retrieval, similarity matching, and intelligent recommendations.
- Sub-50ms search across millions of embedded documents
- Custom embedding models trained on your domain vocabulary
- Multi-index architecture for different content types
- Real-time embedding updates as new documents arrive
Multi-Modal Support
Process and reason across text, images, tables, charts, and structured data within a single unified model pipeline.
- Document understanding with OCR and layout analysis
- Table and chart extraction from PDFs and spreadsheets
- Image classification and captioning for visual content
- Cross-modal reasoning combining text and visual inputs
Custom LLM vs the Alternatives
See how a purpose-built private AI compares to generic tools and the DIY open source approach. The differences are substantial.
| Feature | Custom LLM | Generic ChatGPT | Open Source DIY |
|---|---|---|---|
| Data Sovereignty | |||
| Domain Accuracy | 95%+ | 60-70% | 70-80% |
| Australian Data Residency | Depends on host | ||
| Training on Your Data | |||
| Managed Infrastructure | |||
| Ongoing Optimisation | |||
| Enterprise Security (SOC 2) | |||
| Time to Production | 4-8 weeks | Immediate | 3-12 months |
| Model Ownership | |||
| Dedicated Support | Community only |
Enterprise-Grade Infrastructure
Beyond model training, our platform delivers the compliance, observability, and operational excellence that enterprise deployments demand.
Australian Data Residency
All data processing, model training, and inference happen within Australian data centres. Compliant with the Privacy Act 1988 and APRA CPS 234.
SOC 2 Compliance
Our infrastructure is SOC 2 Type II certified, with continuous monitoring, penetration testing, and regular third-party security audits.
Model Versioning
Full version control for every model iteration. Roll back to any previous version instantly, compare performance across versions, and maintain audit trails.
A/B Testing
Run controlled experiments across model versions to measure accuracy, latency, and user satisfaction before promoting to production.
Usage Analytics
Real-time dashboards tracking query volume, latency, accuracy scores, hallucination rates, and cost per query across all deployed models.
SLA Guarantees
99.9% uptime SLA with sub-200ms inference latency. Dedicated infrastructure with autoscaling ensures consistent performance under load.
See It In Action
Discover how a custom LLM built on your data can transform your operations. Book a strategy session or explore our case studies for real-world results.