OpenAI & LLMs development, built for production
Why OpenAI & LLMs, and why it matters
Large language models can draft, summarize, search and reason over your content — but moving from an impressive demo to a dependable product requires retrieval, evaluation, security and cost control.
We build LLM applications across OpenAI, Azure OpenAI, Anthropic, Google and open-source models, grounded in your data with retrieval-augmented generation and measured with systematic evaluation.
We start every engagement with a short technical assessment and recommend the stack that fits your goals — even if it isn't OpenAI & LLMs.
Book a stack consultationWhat our OpenAI & LLMs teams deliver
Knowledge assistants
RAG chatbots over policies, documents and tickets with source citations.
Workflow copilots
Drafting, summarization and classification embedded in your tools.
AI agents
Tool-using agents that automate multi-step tasks with human checkpoints.
Document intelligence
Extraction and validation from invoices, contracts and forms.
The tools around the technology
Engineering standards for every OpenAI & LLMs project
- Model-agnostic architecture to avoid lock-in
- Evaluation suites that measure quality before and after changes
- Guardrails for PII, prompt injection and harmful output
- Cost and latency monitoring per feature
Fixed-scope or agile delivery with a cross-functional team and weekly demos.
Experienced developers who join your team, tools and rituals.
Code, architecture and performance reviews with a prioritized fix plan.
Services that put OpenAI & LLMs to work
Enterprise APIs from major providers don't train on your data by default. We configure accounts accordingly and can deploy in your own cloud tenancy or use self-hosted models.
Ready to build with OpenAI & LLMs?
Tell us what you're building and where you're stuck. A senior engineer replies within one business day with an honest recommendation and next steps.