Custom AI integration on your own systems
For when a platform is not enough: agents and RAG search that read your documents, your databases and the tools you already use, and answer from what is actually in them. Between USD 6,000 and 20,000. If your case fits in SmoothiePlace, we will tell you, and you will pay considerably less.
What it costs
USD 6,000 to 20,000, depending on what has to be connected.
How many data sources there are, what state they are in, which tools must be connected and which compliance requirements apply.
What's included
- Audit of the sources: where each piece of data lives, in what format and who is allowed to see it.
- Ingestion, chunking and refresh pipeline, so answers do not go stale.
- Vector search on PostgreSQL or Supabase, without forcing a new database on you.
- The model that fits your case and your budget, without locking you to one vendor.
- Evaluation against a bank of real questions with an accuracy measure, before and after every change.
- Deployment on your infrastructure or ours, with the access control you need.
When this is NOT what you need
- If your case is answering customers over chat using your own documents, SmoothiePlace covers it for a fraction of this.
- If your sources are not in order, the first job is a data job, not an AI job. We will say so before starting, not halfway through.
How we work
Discovery
We understand the problem, define scope and risks, and hand you a clickable prototype.
Design and architecture
Interface, data model and integrations defined before the first line of code.
Build
Weekly deliveries with a demo. First usable version from week two.
Launch and support
Production release, monitoring and continuous improvement with the same team.
What backs this up
RAG over private documents is what sits underneath SmoothiePlace, with customers using it daily. It is not a prototype we read about in an article.
Frequently asked questions
Why not just use ChatGPT?
Because a general model does not know your documents, your prices or your rules. The integration is about giving it controlled access to those, and measuring that it answers from what exists rather than from what it assumes.
How do we know it is not making answers up?
With a bank of real questions and an accuracy measure that runs before and after every change. Without that measure, any claim about quality is an opinion.
Does the model provider keep my data?
It depends on the provider and the plan, and it is one of the things decided at the start, not at the end. If the requirement is that nothing leaves your infrastructure, it can be built that way.
How long does it take?
Six to twelve weeks. A first version answering real questions arrives much earlier, around week three.
Does this fit what you need?
Write to us with two lines about the problem. We reply within 48 hours with a first assessment, no strings attached.
Email contact@neongate.co