LLMs That Deliver Real Value
ChatGPT, Claude, open-source models—all have a role. We architect LLM applications that are reliable, cost-controlled, and actually solve business problems. Not hype. Results.
What we deliver with LLMs
Model Selection
GPT-4, Claude, open-source (Llama, Mixtral, etc.). We pick based on cost, latency, and capability needs.
Prompt Engineering
Structured templates, few-shot examples, chain-of-thought patterns. Consistent, reliable outputs.
RAG Systems
Vector databases, embeddings, retrieval pipelines. Ground LLMs in your knowledge—no hallucinations.
Fine-tuning
Adapt models to your domain. Cheaper, faster, better than raw API calls.
Cost & Quality Control
Token accounting, response validation, guardrails. No bill surprises, consistent quality.
Monitoring & Observability
Track usage, latency, quality metrics. Detect drift, degradation, bias.
Why choose Straitworks for LLMs
Pragmatic Approach
We don't chase hype. We pick the right model for your use case and cost constraints.
Enterprise Safe
Governance, guardrails, audit trails. LLMs in regulated environments handled correctly.
Cost Optimized
Smart caching, prompt optimization, cheaper models where they work. Control the budget.