# LLM Integrations

> Custom language models integrated securely.

Leverage the power of Large Language Models without compromising on data security. We build, fine-tune, and integrate custom LLM solutions tailored to your proprietary data and business needs.

## Outcomes

- Private LLM deployment and fine-tuning
- Retrieval-Augmented Generation (RAG) pipelines
- Secure data handling and PII masking
- Prompt engineering and guardrail implementation

## Process

01. **Assess** - Identify use cases and data availability.
02. **Architecture** - Design a secure, scalable inference pipeline.
03. **Integrate** - Connect models to your data securely (RAG).
04. **Harden** - Apply safety guardrails and access controls.

## Deliverables

- Deployed LLM service
- Data ingestion pipeline
- Security & risk assessment
- API documentation

## Standards

OWASP Top 10 for LLMs, NIST AI RMF




## FAQ

**Is our data used to train public models?**
No. We deploy models in private environments (VPC/on-premise) ensuring your data never leaves your control.

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