It only answers from what you published.
ProductChat IQ answers your customers from your own manuals, spec sheets and warranty terms. When your material does not cover a question, it says so and hands over to a person rather than guessing. Every answer it gives is traceable to the document behind it, in your dashboard.
The assistant in the corner of this page is the product, loaded with our own documents. Use it as your demo and judge it on the answers you get, including the ones it refuses.
Your brand, not ours.
Proof you can check yourself.
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100%
of answers recorded against the document that produced them
Architectural, not sampled. Every answer stores its citations, and you read them in the conversation log.
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Zero
of your content used to train any model
Answers run on Cloudflare Workers AI, whose data policy states Cloudflare does not use customer content to train its models.
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12 of 18
grounding tests that require a refusal rather than an answer
Our evaluation suite covers absent facts, near-miss product names, off-topic questions and prompt injection. Refusal is tested harder than answering.
Every figure here arrives with the method that produced it, and every one is something you can verify inside your own account. Uptime joins them the moment we have a full quarter measured to the same standard.
The risk is not a chatbot. It is a confident wrong answer.
The manual has the answer on page 40. The customer gave up on page 6. A general AI tool will happily fill that gap whether or not the source is real, and a spec it invents becomes your warranty problem. So the product is built the other way round. It can only repeat what you have published, it refuses when nothing supports an answer, and you can check its working on every conversation it has.
You can check its working on every answer
Your customer gets a clean answer. You get the receipt: the conversation log shows which document produced it. When an answer is wrong, you can find the document that caused it and fix the document. Your internal file names are never shown to the public.
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Approved information only
Answers come from the manuals, spec sheets, warranty terms, and pages you publish. Draft content is never used. Nothing else is in scope.
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It asks for a person instead of guessing
When your material does not support an answer, it says so and routes the question to the inbox you choose. A confident wrong answer does more damage than an honest handover.
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Your content stays yours
It is not used to train any model, ours or the model provider's, and it is never shared between accounts. Export it or permanently delete it whenever you ask.
The information behind the answer is protected
Customers hand you their product knowledge on the understanding that it stays theirs. The platform is built around that.
Read the security overview- Private storage for every document
- Strict separation between accounts
- Assistants limited to the website domains you approve
- Short-lived sessions on the public widget
- Full export and permanent deletion, on your request
- Audit logs for privileged actions
An assistant for each job, not one generic chatbot.
Each assistant answers from its own set of approved material, so the warranty assistant never improvises a spec and the product assistant never invents a policy. Run the ones you need.
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Product support
Answers specs, compatibility, and how-to questions straight from your documentation.
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Warranty information
Explains coverage, terms, and claims using your published warranty material. It collects claim details; it does not approve or deny cover.
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Contractor and installer
Gives field crews the install detail, torque values, and clearances they need on site.
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Distributor
Handles the repeat product questions distributors ask, without tying up your team.
From your documents to a working assistant.
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Upload approved information
Manuals, training material, warranty policies, product data, and web pages.
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Organize it
Group content by product, brand, or audience so each assistant answers from the right material.
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Review and publish
You decide what goes live. Draft content is never used in an answer.
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Add the script
One line on your site puts the assistant in front of customers.
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Learn from the gaps
Questions it could not answer show you exactly what to document next.
No rebuild of your site
One script tag puts the assistant on any page. It carries no documents, no model credentials, and no privileged logic; everything that matters stays on the server, behind your approved-domain settings.
<script
src="https://widget.productchatiq.com/loader/v1.js"
data-assistant="your-assistant-id"
async></script>You decide what goes in, and what goes live.
Everything the assistant can say traces back to a document you uploaded and published. Drafts stay private. A document still processing is never used in an answer. The library is the whole source of truth, and it is yours to control.
See what customers ask, and what you have not covered.
The reporting checks whether the assistant can find its own answers, and shows you the questions it could not support. That last part is the useful one: it tells you exactly which document to write next.
Tailored AI, built around your business.
ProductChat IQ is made by OrangeFin, and it is the proof rather than the pitch: we built it, we run it, and you are using it on this page. The same team takes on the work below, scoped around how your business actually runs rather than sold off a page. Tell us the job and we will tell you what it takes.
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Phone sales agent
An agent that qualifies inbound callers and books the meeting, working from the same approved material.
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Phone receptionist
Answers, routes and takes messages out of hours, so a missed call stops being a lost customer.
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Call centre support
Handles the repetitive first-line questions and hands the rest to your team with the context attached.
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Something built for you
Most of the value sits in the parts specific to your business. Describe the job and we will scope it.
Put your product information to work.
We are taking on an early group of customers now, so you get our direct attention and a say in where this goes next.