LLM Integration (GPT, Claude, Llama) for High‑Stakes Web Platforms in the US

We work with all major LLM families used in production today: OpenAI GPT (including GPT-4 class models), Anthropic Claude, Meta Llama and selected specialised models when relevant. We help you choose the right combination based on latency, cost, data residency, compliance and the nature of your use case. Hybrid architectures are common: for example, GPT for complex reasoning, Llama for on-premise or VPC-deployed workloads – much like combining different apps and services in a Shopify custom app development stack.

Data security is a core concern across US industries such as real estate, finance, healthcare and corporate portals. We design your LLM integration with strict data policies: minimal data exposure, anonymisation where possible, clear separation between user content and system prompts, and careful choice of regions and providers. When required, we can design architectures using self-hosted or VPC-hosted Llama-based models to keep data fully under your control, similar to how a secure Shopify ecommerce development company would handle sensitive customer data.

Yes. Many of our LLM engagements are with existing platforms that need AI capabilities without a full rebuild. We analyse your current architecture, define safe integration points (APIs, microservices, front-end components) and design an LLM layer that respects your constraints. If your codebase is unstable or outdated, we can also propose a phased refactor or a “project rescue” plan – similar to modernising legacy ecommerce with updated Shopify web design and development.

We combine multiple strategies: retrieval-augmented generation (RAG) based on your verified data, strict prompt design, output validation, role and scope constraints, and where necessary, human-in-the-loop review. We also log interactions for continuous improvement and can implement explicit guardrails to block unsafe or non-compliant outputs aligned with your industry and local regulations, much like enforcing strict content and security rules in high-stakes Shopify website design packages.

Because we work on a fixed-price, project-based model, we first define a clear scope and then provide a transparent proposal. Smaller, focused features (for example, an AI assistant for a specific portal section) can be delivered quickly with controlled budgets. Larger initiatives (multi-feature AI across several products) are structured into phases. We are not trying to be the cheapest provider; we position ourselves like best-in-class Shopify website design services – competing on reliability, impact and long-term value rather than rock-bottom pricing.

Yes. Stralya has a strong “project rescue” culture. If your current AI pilot is unstable, too expensive, or not delivering value, we can audit the existing work, stabilise what is salvageable, and redesign what is not. Our goal is always the same: get your AI features safely across the finish line and into stable, productive use, similar to taking over a failing ecommerce build from another Shopify web developer.