Data Sovereignty
Your data never leaves your infrastructure. We deploy open-source models (Llama 3, Mistral) on your private cloud or on-premise servers.
Domain Fine-Tuning
We train models on your proprietary documents, codebases, and customer interactions to ensure high accuracy and relevance.
RAG Architecture
Retrieval-Augmented Generation connects LLMs to your live databases, ensuring answers are always up-to-date and hallucination-free.
From Prototype to Production
Most AI projects fail at the deployment stage. Fusionex AI ensures your LLM applications are production-ready, scalable, and cost-effective.
Context Window Optimization (up to 128k tokens)
Low-Latency Inference with vLLM & TGI
Automated Evaluation Pipelines (LLM-as-a-Judge)
Role-Based Access Control (RBAC) for AI Agents
Discuss Your Architecture
# Fusionex RAG Pipeline
from fusionex_ai import EnterpriseLLM, VectorStore
# Initialize secure vector store
knowledge_base = VectorStore(
collection="company_docs",
encryption="AES-256"
)
# Load fine-tuned model
model = EnterpriseLLM(
model_id="fusionex-llama-3-70b",
quantization="4bit"
)
# Generate secure response
response = model.generate(
prompt="Summarize Q3 financial risks",
context=knowledge_base.retrieve(k=5),
temperature=0.1
)Free Industry Report
The State of Enterprise AI in 2025
Discover how top UK enterprises are leveraging LLMs and Big Data to drive efficiency and innovation. This comprehensive 40-page report covers:
- LLM Adoption Trends in Finance & Healthcare
- Data Privacy & Sovereignty Post-Brexit
- Cost Optimization Strategies for AI Infrastructure
- Future Outlook: Agents & Autonomous Systems