AI assistants that answer from your own data — and show where every answer came from.
Your customers and staff ask the same questions every day: where is it, is it in stock, what does the policy say, which quote is better. Cloud Rhino builds assistants that answer those questions from your catalogue, documents and systems — and say “I don't know” instead of guessing.
What the assistant does
One platform, configured for your workflow. It looks things up in your approved data, shows the evidence, and hands anything that needs judgement to a person.
Answers customers in seconds
Product location, stock, opening hours, entry requirements, service rules — answered from your own data, with the freshness shown and no invented details.
Prepares replies for your staff
Policy-cited replies, enquiry summaries and draft tickets that your team checks and sends. Nothing is sent or changed automatically.
Checks the numbers properly
Quotes, totals and tax treatment are calculated by code, not by the language model — and anything unclear is flagged as a question to ask.
Try it on a real workflow
Each demo runs the same platform on a realistic, synthetic dataset. Ask your own questions — that's the fastest way to see whether it fits.
Product Finder
Shoppers find the exact product, aisle and stock in a large store — or get a clear “not stocked here”.
Try the retail demo →Student admin replies
Cited draft replies to deferral, enrolment and deadline questions, reviewed by staff before sending.
Try the university demo →Enrolment concierge
Parents get answers from your published admissions information and can request a tour.
Try the schools demo →Quote comparison
Contractor quotes side by side: verified totals, GST basis, exclusions and the questions to ask.
Try the property demo →Service request triage
Suggested category, routing team and the details staff still need — as a draft for approval.
Try the council demo →Mining AI Laboratory
A model learns from decades of lab tests and proposes the next experiment for a new ore composite.
See Industrial AI →How we start working together
Small, measurable steps. You see the assistant working on your own data before you commit to anything bigger.
- 30-minute call — free
We look at one workflow that costs your team time, and the data it depends on.
- Fixed-scope pilot
A written scope, timeline and success measures, agreed before any work starts. Usually a few weeks.
- Measure on your data
We agree the success measures up front — accuracy on real questions, time saved, enquiries handled — and report them honestly.
- Decide
Roll it out, change it, or stop. You keep the findings either way.
How a pilot works in detail → · Generate a draft pilot outline →
Built to be trusted
Grounded, not guessing
The assistant only answers from sources you approve, shows which source it used, and says when the evidence isn't there.
Read-only by default
It looks things up; it does not change prices, orders, records or settings. Anything that acts in your systems is a separate, explicit decision.
People stay in control
Replies, tickets and recommendations are drafts for your staff. Eligibility, legal, financial and safety decisions stay with people.
Your data stays yours
We work with the data you approve for the pilot, under a written agreement on where it is hosted, who can access it and how it is deleted.
Common questions
Is the demo data real?
No. Every demo uses synthetic, fictional data so you can try it freely. A pilot uses your own approved data.
Do we need to change our systems?
Usually not. A pilot typically starts from exports, documents or read-only access to what you already have.
Which AI model do you use?
We choose the model to suit the task, cost and data-handling requirements, and we can agree where it runs. The assistant is designed so that the numbers and facts come from your data and our code, not from the model's memory.
Have a workflow in mind?
Tell us in a sentence what your team answers or checks over and over. We'll come back with a concrete idea — usually within one business day.