AI
AI and automation
We integrate LLMs and AI tools into your own products and workflows. With clear guardrails, evaluation and a plan for how they'll be operated — not just how they'll be demoed.
AI in production is less “wow demo” and more: prompts, data access, failure modes, logging, and what happens when the model is wrong.
Choose LLM integration to embed into an existing product, AI agents to automate workflows, or RAG when answers must build on your own data.
Services in this area
These are the sub-disciplines we typically deliver on. Need a combination? Tell us what you're working on and we'll scope it to what's actually needed.
LLM integration
We embed language models in your existing SaaS, portal or back-office — with guardrails and measurable impact.
AI agents
Agents that perform tasks in your systems — with sandboxing, evaluation and human-in-the-loop where needed.
RAG systems
Retrieval-Augmented Generation over your own documents, cases and knowledge bases — with measurable quality.
Related services
- Web developmentFast, SEO-strong websites and customer portals. Built in Next.js, hosted on the edge.
- Cloud infrastructureCloudflare, Vercel and AWS — set up, secured and operated with IaC and observability.
- Product developmentFrom MVP to scalable platform — multi-tenant, billing, auth and an architecture that doesn't fall over.
- DevOps & operationsCI/CD, observability and IaC — so your team can ship safely and sleep at night.
FAQ
Questions about AI projects
Do you build ChatGPT clones?
Rarely as a goal in itself. We put AI where it removes manual work or lifts a product — with ownership of data, prompts and operations.
What’s the difference between agents and “just an LLM call”?
An LLM call answers. An agent can take multiple steps, call tools and stop for human approval. That needs better observability and clear boundaries.
Can you work with our own documents?
Yes — that’s the RAG track. We design index, retrieval and answer quality so the model doesn’t guess when it should cite your data.
Which models do you use?
Whatever fits the job — often OpenAI or Anthropic, sometimes open source. The choice follows latency, cost structure, data requirements and quality — not hype.
Ready to get started?
Let's have a no-pressure conversation.
We'll get back within one business day with concrete input — not a stock proposal.