R3vltnWhat it does
Many teams want AI features in their product but do not have the time to hire and train a full AI team. AI on demand gives you experienced engineers who build LLM features, retrieval-augmented generation (RAG) systems and AI agents, and ship them into your product within days or weeks.
RAG lets your AI answer from your own documents, knowledge base and data, with sources, instead of guessing. We build the retrieval pipeline, the prompts and the evaluation so answers stay accurate as your content grows.
What you get
- LLM features built and shipped into your product
- RAG systems that answer from your own data, with sources
- Evaluation so answer quality is measured
- Engineers available without a full-time AI hire
Who it is for
Best fitStartups, product teams and businesses that want LLM features, a knowledge assistant or AI automation without building an AI team first.
How it works
- We look at how customers reach you todayWe find where enquiries wait, go quiet or get lost, and agree the one fix that matters most.
- We build and test it with real examplesWe build the automation or site and test it with realistic messages, calls or pages before it goes live.
- We launch and support youAfter launch you get 14 days of support to fix issues. Ongoing care is optional.
Common questions
What is RAG and when do I need it?
RAG, or retrieval-augmented generation, lets an AI model look up your own documents before answering. You need it when answers must come from your content, such as product manuals, policies or a knowledge base.
How fast can you ship an LLM feature?
Smaller features can ship in days. Larger systems take longer, and we agree the timeline in the written proposal.
Can you work with our existing engineers?
Yes. We can work alongside your team in your repository and follow your code standards and review process.