Retrieval-augmented generation systems that let your team or customers ask questions across thousands of documents and get accurate, cited answers.
AI that talks to your customers on chat, voice and messaging, around the clock.
Ingestion of PDFs, Notion, Drive, Confluence and websites
Vector search with Pinecone, pgvector or Weaviate
Answers with source citations
Role-based access so people only see what they should
Describe the workflow and your tools. You get a 15-minute Loom with the plan, or a 30-minute call if you prefer.
A written scope, timeline and fixed price, with no retainers and no surprises.
We build on your real stack in a staging environment, usually within 48 hours.
Go-live, documentation and a support window. You own every account and line of code.
Chunking tuned to your documents, hybrid keyword and vector search, source citations, and an evaluation set we test against before launch.
Every RAG chatbot systems project is fixed-price and scoped on a free strategy call. Most conversational AI builds fit our Ignite or Scale packages; see the pricing page for current ranges.
Typical conversational AI projects go live in 5–9 days. You see a working staging build within the first 48 hours.
Yes. We are a remote-first studio working with clients across the US, Canada, the UK, Europe, Australia, the Middle East and Asia, with calls in your time zone.
We build RAG chatbot systems for clients in these cities and many more, remotely and in your time zone.
Send one workflow and get a free 15-minute Loom teardown, or book a call if you’d rather talk it through.