Generative AI & LLM Solutions
Deploy secure, governed generative AI with custom LLMs, RAG solutions, and multi-model orchestration. Guardrails, PII redaction, and compliance built-in.
Safe, Governed Generative AI
Generative AI is powerful, but must be deployed carefully in public sector and regulated environments. We implement LLMs with robust guardrails, security controls, and governance frameworks.
From custom GPT deployments to RAG systems for knowledge bases, we help you harness generative AI safely—with PII redaction, toxicity filters, audit trails, and human oversight.
What We Build
- Custom LLM deployment (Azure OpenAI, Anthropic, open-source)
- RAG (Retrieval Augmented Generation) for knowledge bases
- Multi-model orchestration - use the best model for each task
- Guardrails: PII redaction, toxicity filters, jailbreak prevention
- Prompt engineering and optimization
- Fine-tuning for domain-specific tasks
- Content generation for reports, summaries, documentation
- Code generation and developer assistance
AI Guardrails & Safety
Multiple layers of protection for safe AI deployment
PII Redaction
Automatically detect and redact sensitive personal information before processing.
Toxicity & Safety Filters
Block harmful, biased, or inappropriate content from being generated.
Jailbreak Prevention
Prevent prompt injection attacks and attempts to bypass safety controls.
Data Leak Prevention
Ensure sensitive data is not included in model outputs or stored inappropriately.
Use Cases
Practical applications with governance
Knowledge Base Q&A
Deploy RAG systems that answer questions from your policies, procedures, legal docs, or technical documentation with citations.
Research & Analysis
Summarize documents, extract insights, analyze feedback, and assist with research tasks—with human oversight.
Content Generation
Draft reports, policy documents, correspondence, and documentation while maintaining quality and compliance.
Developer Assistance
Code generation, documentation, test writing, and legacy code understanding—boosting developer productivity.
Multi-Model Orchestration
Use the best model for each task—vendor agnostic
Azure OpenAI
GPT-4, GPT-4o for general tasks
Anthropic Claude
Long context, complex reasoning
Open Source
Llama, Mistral for sovereign deployments
Specialized Models
Domain-specific fine-tuned models
We abstract the model interface—switch providers without refactoring applications
Governance & Compliance
Enterprise-grade governance for generative AI:
- Prompt and output logging with retention policies
- Data residency controls (UK/EU/sovereign cloud)
- Model cards and ethical use documentation
- Human-in-the-loop for critical decisions
- Full audit trail and compliance reporting
Deploy Generative AI Safely
Discuss your use case and learn how to implement LLMs with governance and security.