Custom AI, Trained on Your Own Data.
An AI that answers from yourdocuments — manuals, catalogs, specs, policies, past jobs — accurately, with the source cited, so it doesn't make things up. Private, owned by you, and put wherever your people ask questions. Built by an Edmonton software development company.
Your Business Has the Answers.
The AI Just Can't Reach Them.
The knowledge that runs your business is real — it's just trapped in documents and people's heads, where generic AI can't see it. Here's the gap, and what a custom, grounded AI does about it.
The answers exist — nobody can find them
Product specs, manuals, policies, SOPs, contracts, past quotes and jobs — the knowledge is all there, buried across PDFs, folders and people's heads. Staff and customers ask the same questions, and finding the answer means digging or asking the one person who knows.
Generic ChatGPT doesn't know your business
Public AI knows the open internet, not your catalog, your pricing, or your policies. Ask it about your specifics and it confidently makes something up — which is worse than no answer when a customer or a technician is relying on it.
Off-the-shelf chatbots are shallow
Drop-in bot builders answer from a thin FAQ and fall over on anything real. They can't reason across a technical library, cite the exact source, or stay accurate as your documents change.
Your data shouldn't leave your control
Feeding sensitive documents into a consumer AI tool means handing your knowledge to someone else's platform — and often into training data you can't get back.
An AI That Actually Knows Your Business.
A private assistant grounded in your own knowledge — accurate, cited, and built around how your business answers questions.
Answers from your documents, with citations
Ask a question in plain language and get an accurate answer drawn from your own material — with a link to the exact document and passage it came from, so anyone can verify it in one click.
Grounded, so it doesn't make things up
The AI answers only from your sources. When the answer isn't in your documents, it says so instead of guessing. That grounding is the whole point — accuracy your team and customers can trust.
Reads what you already have
PDFs, manuals, spec sheets, catalogs, policies, SOPs, past quotes and jobs, spreadsheets, your website — structured or messy. New documents are added as your library grows, and the AI stays current.
Private and yours
It's your own system. Your documents stay yours, they aren't used to train any public model, and you own the software — not a per-seat subscription with your knowledge locked inside it.
Wherever your people need it
A customer-facing assistant on your website, an internal tool for staff, or wired into Slack or Microsoft Teams — the same grounded brain, in the places work actually happens.
Wired into your systems
Because it's custom, it can do more than answer: look up a live order, draft a spec-accurate quote, or pull a record from your CRM — retrieval plus action, built around your stack.
Retrieval-Augmented Generation, in Plain English.
The model does the language; your documents do the facts. That's the difference between an AI that sounds confident and one you can actually trust. See also the RAG glossary entry.
We ingest your knowledge
Your documents — manuals, catalogs, policies, past jobs — are processed and indexed into a private knowledge base the AI can search. Messy formats and technical material included.
It retrieves the exact right passages
When a question comes in, the system finds the specific passages in your material that actually answer it — not a keyword match, a meaning match. This retrieval step is what keeps the answer grounded in your real content.
It answers from those sources, and cites them
The AI composes a clear answer using only the retrieved passages, and shows where each part came from. This is retrieval-augmented generation (RAG): the model does the language, your documents do the facts.
It stays current and gets smarter
Add or update documents and the knowledge base updates with them. We monitor real questions and answers and keep tuning retrieval so it gets sharper on the things people actually ask.
One Knowledge Base, Three Big Wins.
Customer-facing product & technical answers
Let customers ask real questions about your products, specs, compatibility and documentation, and get accurate answers pulled straight from your catalog and technical library — instead of waiting on an email or reaching a rep.
An internal expert your whole team can ask
New and busy staff get instant, cited answers on policies, procedures, pricing rules, and how past jobs were handled — so the knowledge in one senior person's head is available to everyone, all the time.
Faster, spec-accurate sales & quoting
Sales and estimators look up the exact spec, compatible part or past-job precedent in seconds, and quote with confidence — because the answer is grounded in your real data, not a guess.
AI Trained on Your Data, Answered.
Is This Just ChatGPT for My Business?
No. Generic ChatGPT knows the public internet, not your catalog, pricing or policies — and it will confidently invent answers about your specifics. This is a custom AI grounded in your own documents: it answers only from your material, cites the source, and says "that isn't in our documents" rather than guessing. The technique is called retrieval-augmented generation (RAG) — the AI handles the language, your documents supply the facts.
Will It Make Things Up (Hallucinate)?
That's exactly what this design prevents. Because the AI answers from retrieved passages of your own content and cites them, its answers are traceable to a source you can check. When the information isn't in your library, it tells you instead of fabricating. Grounding in your data is the whole reason to build it this way rather than using a generic chatbot.
Is Our Data Private and Secure?
Yes. It's your own private system — your documents stay yours, they are not used to train any public model, and access is controlled. Keeping sensitive knowledge inside a system you own is one of the main reasons businesses choose a custom build over feeding documents into a consumer AI tool.
What Kinds of Documents Can It Use?
PDFs, manuals, spec sheets, product catalogs, policies and SOPs, contracts, past quotes and jobs, spreadsheets, and your website — structured or unstructured, technical or plain. New material is added as your library grows, so the assistant stays current.
Where Does It Live — On Our Website or Internally?
Either or both. It can be a customer-facing assistant embedded on your website, an internal tool your staff open in the browser, or wired into Slack or Microsoft Teams — the same grounded knowledge base, wherever your people need to ask.
Do We Own It, or Is It a Subscription?
You own it. It's custom software built for your business — your knowledge base, your integrations, no per-seat fees as your team grows, and no vendor holding your data hostage. AltaPro AI designs, builds, deploys and operates it, and it's yours.
How Is This Different From an Off-the-Shelf Chatbot Builder?
Off-the-shelf bots answer from a shallow FAQ and break on anything real — they can't reason across a technical library, cite exact sources, or integrate with your systems. A custom retrieval system is accurate on your actual documents, stays current as they change, plugs into your stack, and is owned by you.
Put your own knowledge to work
Book a 30-Minute Call.
30 minutes. Tell us the questions your team and customers keep asking and the documents that hold the answers, and we'll map the AI that would answer them — grounded, private, and yours.
Edmonton, Alberta · No commitment · 587-937-6948