Core Capabilities
Our generative AI systems are built on proven architectures that deliver enterprise-grade performance and reliability.
Vector Search & RAG Architecture
Proprietary company knowledge grounded through advanced vector embeddings and retrieval-augmented generation pipelines.
- Pinecone vector database integration
- Milvus distributed vector search
- pgvector PostgreSQL embeddings
- Hybrid search with semantic reranking
- Real-time knowledge base updates
Agentic Decision Engines
Multi-agent collaboration frameworks executing autonomous multi-step operations with human-in-the-loop oversight.
- LangGraph multi-agent orchestration
- AutoGen collaborative frameworks
- Autonomous task decomposition
- Dynamic tool selection & execution
- Human-in-the-loop approval gates
Model Fine-Tuning & Quantization
Domain-specific LoRA adaptation and local model hosting for strict internal data privacy and performance optimisation.
- LoRA parameter-efficient fine-tuning
- QLoRA quantised adaptation
- Local Llama & Mistral hosting
- Strict data privacy controls
- Custom evaluation benchmarks
How Our RAG Systems Work
A comprehensive look at our retrieval-augmented generation pipeline architecture.
Knowledge Ingestion
Documents, databases, and APIs are continuously ingested and chunked into semantic units for optimal retrieval.
Vector Embedding
Each chunk is transformed into high-dimensional embeddings using state-of-the-art transformer models.
Semantic Retrieval
User queries are matched against the vector store using cosine similarity and hybrid search techniques.
Context Augmentation
Retrieved context is injected into the LLM prompt with strict grounding to eliminate hallucinations.
Response Generation
The LLM generates accurate, contextually-grounded responses with source citations and confidence scores.
Real-World Applications
Our generative AI systems power critical business operations across industries.
Customer Support Automation
Intelligent agents that resolve 80% of support tickets autonomously with enterprise knowledge base integration.
Document Analysis & Summarisation
Automated extraction and summarisation of insights from thousands of documents in minutes.
Code Generation & Review
AI-powered code assistants that accelerate development workflows with enterprise security standards.
Research & Discovery
Autonomous research agents that synthesise information from multiple sources and generate comprehensive reports.