Not a generic chatbot. We build AI assistants grounded in your own documents, data, and processes — so the answers are right, on-brand, and useful from day one.
A custom AI assistant is an AI tool grounded in your own documents, data, and processes — so it answers from your business instead of the open internet. Unlike a generic chatbot, it knows your pricing, your policies, and your customers, which is what makes its answers accurate enough to actually rely on.
We configure and ground leading AI models (such as Claude, GPT, or open models) on your information. We do not "train a custom model" — for almost every business that is slower, costlier, and less accurate than grounding a state-of-the-art model on your data, which is the honest, reliable approach.
You tried ChatGPT for work, but it does not know your pricing, your policies, or your customers.
Your team answers the same questions over and over, pulling people off real work.
You want AI in your business but have no idea what is safe, what is hype, or where to start.
We connect the assistant to your real documents and data so it answers from your business, not the open internet.
A support assistant for customers, or an internal expert your team can ask anything.
We configure the model to stay in scope, cite sources, and escalate to a human when it should.
We keep it current as your business, documents, and the underlying models change.
We decide exactly what the assistant should do, who it serves, and what good looks like.
We gather and structure your documents and data so the assistant answers from real, current information.
We tune behavior, set guardrails, and test against real questions before anyone relies on it.
We deploy it where your team or customers already are, and keep it accurate over time.
You will hear vendors promise to "train a custom AI model" for your business. For nearly every small and mid-sized company, that is overselling. The reliable approach is retrieval-grounded AI: connecting a leading model to your documents and data so it answers from current, real information — cheaper to build, faster to ship, and easy to keep up to date.
This matters for accuracy. A grounded assistant can cite where its answer came from and escalate to a human when it is unsure, instead of confidently inventing things.
Customer-facing support that answers common questions instantly, internal assistants that let staff query policies and documents without hunting, and research assistants that speed up quoting and analysis are the most common high-value uses. The right first project removes the most repeated questions from your team.
Yes — with the right setup. We design for privacy from the start, and for sensitive or regulated data we can run on open models hosted on your own infrastructure, so your information never leaves your walls.
We built custom AI assistants grounded on local construction and market data — part of the system that scaled a Nashville client ~9×.
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Project pricing scoped to your use case, with an optional monthly care plan to keep the assistant accurate as your data and the models evolve.
Get my plan →No — and you should be skeptical of anyone who says they are for a project this size. We configure and ground leading models on your business data, which is the honest, reliable way to get accurate answers.
Yes. We design for privacy from the start and, where compliance requires it, can run on models that keep your data inside your own walls.
We build in guardrails, source citations, and human escalation so the assistant knows the limits of what it knows.
Tell us what your team keeps answering. We will show you what an assistant could take off their plate.
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