InsideAI connects your files, tickets, and know-how into a single secure workspace — so anyone on your team can ask a question and get an answer grounded in your business, not the open internet.
It runs on the same frontier models you have already been impressed by, under enterprise terms that keep your data out of their training pipelines. The difference is the harness we build around them.
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Ticketing
Knowledge Base
Meetings
Finance & Operations
Email & documents
Endpoint security
Code & repositories
Your other tools
InsideAI
your private workspace01
Point InsideAI at what you already run on — ticketing, internal docs, and the other tools your team uses. A guided, step-by-step setup handles each one. No migrations, no new systems to learn.
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Every file you add is read, summarized and indexed shortly after it lands, and the tickets it is connected to stay in step on their own — all of it kept inside your business, never exposed outside it.
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Chat in plain language and get answers grounded in your business — with the right context for who's asking.
The big public models are genuinely remarkable, and we never set out to beat them at being models. InsideAI runs on that same capability — and then wraps it in the part nobody ships in a chat window: your knowledge, your permissions, and hard limits on what it may do. You get the power without signing away the control.
Reasoning that works a hard question through instead of pattern-matching one answer
Reads a screenshot, a spreadsheet, or four years of ticket notes without complaining
Writes like a competent colleague on the first try, in the register you asked for
Gets better every few months, and you do nothing to get the upgrade
Your documents, tickets and clients, indexed and kept current
Your permissions, enforced on our side before the model is ever asked
A fixed list of things it may actually do — and no way to reach past it
A named team that reads your complaints and changes the product
A model that already knows how to think, working from what your company actually knows
Real work prepared in your real systems for a person to sign off, inside limits you set and we enforce
One place it all lives, so the answers that worked don't die in somebody's private tab
Connecting a raw assistant to your email and your ticketing system takes an afternoon. That afternoon is the risk. Whatever a connection exposes, the model can reach — and the only thing between it and your clients is a line of instructions asking it not to. The harness is the part that replaces asked nicely with cannot.
“Let every affected client know about tonight's outage.”
Dana, Support — her permissions, not ours
3 of 19 abilities
23 drafts waiting in Dana's outbox. Nothing sent.
Hand a mailbox to a raw assistant and it can send email — not the email you had in mind, any email, to anyone in your address book, signed with your company's name. The safeguard is a sentence in a prompt asking it to stick to drafts. That sentence has no authority over anything. It is a pinky promise from the exact thing you were worried about, and a cleverly worded question can talk it out of one.
We hand it abilities one at a time, and only the ones you ticked. Allow “write a draft” and withhold “send” and there is no send to be talked into — not disabled, not discouraged, absent. And when a result genuinely does need to land in one of your systems, it arrives as a job with a fixed shape: the model writes the words, our code decides where they go — a draft, for a person to review — and the trigger is a schedule you set. An open mailbox is never the unit we hand over.
Each band is a page of its own on the platform tour. Here is the short version.
Six different kinds of company, from the first week to the first year. Pick the one that sounds most like yours.
This is not public AI versus us — we run on the same frontier capability you would be paying for anyway. The real question is what surrounds it: whether it knows who is asking, what it is allowed to do in your systems, how far a mistake can travel, and whether anybody answers when it gets something wrong.
Answers from whatever it read on the internet. It has never seen how you actually work.
Answers from your own documents, records and processes — the version of the truth your team is held to.
Every person re-explains the context by hand, which means pasting company information into someone else's chat window.
Wired in once, deliberately, by someone you trust. Nobody has to paste anything anywhere it shouldn't be.
It has no idea who is asking, so it either knows nothing sensitive or it knows too much.
It answers as you. Your permissions decide what it can use, and that is enforced on our side — not by asking it nicely.
The real danger isn't what it says, it's what you let it do. Rushing to connect everything hands it every ability that connection exposes — plug in a mailbox and it can send any email to any client, in your name. The safeguard is a line of instructions asking it not to, which is a pinky promise from the thing you were worried about.
The harness hands over abilities one at a time, and only the ones you ticked. Allow “draft a reply” and withhold “send” and there is no send to be talked into. When a result does need to land in one of your systems, it arrives as a job with a fixed shape — the model writes the words, our code places them as a draft for a person to review, on a schedule you set — never an open mailbox and a hope.
Managed service providers and IT partners can offer InsideAI to the organizations they already look after — at partner pricing, run from one console of their own.
Create a client's organization, its sign-in and its people in a few steps — ready the moment you finish, with no ticket to us.
Every client you manage in one console, and one click into any of them as its administrator.
Bill clients under your own agreements at your partner price, or let us bill them directly and see what you earned each month.
You run each client's setup and administration; they always see who manages them.
Straight answer on where we are: InsideAI is early. It is deployed and doing real work inside real businesses, and we are taking on a few at a time on purpose — every deployment gets a person on it, not a ticket queue.
Tell us what your team runs on and what you would want it to answer. We will be straight with you about what fits today and what is still ahead, and coming in now means real say in what gets built next.
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Call (720) 541-8910
Email sales@cpcyber.com
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