Not a chatbot. A memory.
The Plainsight Brain gives your company one memory that every AI tool can reach: your documents, the lessons your people learn, your guardrails, your brand rules. Your company gets smarter with every project instead of starting from nothing each time.
We built it for our own team first and have run it every day since, which is why a demo is a working system rather than slides. The same stack installs in your environment.
In plain terms: one shared memory under every AI tool your people open. What one person works out, the next one gets served. Your company stops forgetting.
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Sound familiar?
Four things we keep hearing from companies a year into using AI. They look like four problems. They are one, wearing four coats: the tools have no memory of you.
How we approach it
Per seat, you end up deciding who is allowed to be productive. And the licence buys a tool that still knows nothing about your company.
How we approach it
Six clever prototypes, six private context windows. Each one knows a corner of the company and none of them knows the company. The agents are not the problem. The missing shared memory is.
How we approach it
Mail and calendar are a fine start. The procedure, the contract, the project from three years ago that answers the question: that lives somewhere else, and that is where the useful answers are.
How we approach it
Someone with eight years of context hands over in two weeks. What gets written down is the process. What walks out the door is everything that made them good at it.
Knowledge that compounds instead of walking out
Most things a company buys are worth the most on day one and a little less every year after. A memory works the other way round, and this is the loop that does it.
People come and go. What they learned stays.
The lesson gets captured while the work happens, not in an exit interview nobody reads. When the next person starts something similar, it arrives before they need it. Handovers stop being archaeology.
Captured while the work happens.
Nobody writes memos to a database. Lessons get picked up from the tools people already work in, and agents judge every candidate before it lands: is it new, is it right, is it worth keeping. A memory that keeps everything is a landfill.
Year two beats year one.
Every project leaves something behind: a definition, a lesson, a document worth keeping. The second project is faster than the first because of it, and the tenth is faster still. That only happens if there is somewhere for it to land.
One memory under every tool
Every AI tool your people use connects to the same layer underneath. Claude, ChatGPT, the coding assistants, and our own secure AI Assistant for teams that want one governed place to ask. The plumbing is an open protocol called MCP, so any tool that speaks it can plug in. Whichever assistant someone opens, it already knows the company. And underneath it sit the things it reaches: your knowledge base, your brand kit, the systems it brokers access to.
No favourite tool required. The memory is the standard, not the chat window. Meet our AI Assistant.
What actually lives in that layer
Four things a company learns. Documents are not on this list on purpose: they are the part every vendor sells, and they plug in underneath rather than live here.
Your lessons
When someone solves a hard problem, the lesson doesn't retire into their head. It gets captured while they work, and the next colleague who starts something similar gets it served before they repeat the mistake. Agents judge every candidate memory first: is it new, is it right, is it worth keeping. A memory that keeps everything is a landfill, not a brain.
Your decisions and standards
The way your company decided things should happen: how a review runs, what a proposal has to contain, which rules are not up for discussion. Written down once, in a place every tool can read, so nobody re-argues last year's decision in this year's project.
Your guardrails
The Brain brokers access to systems and secrets instead of letting them get pasted around, and it holds your rules for how AI-assisted work should happen. An assistant that knows everything is only useful if you can also trust it with everything.
Your brand
AI tools got our own triangles wrong more often than right, so we treated it as a master data problem. Your brand kit lives in your company brain as the one master: rules, asset files, tone of voice. Every tool that produces branded output pulls it first, and a check reports which rule broke, and where.
The triangle story →AND UNDERNEATH IT
Your documents
A knowledge base plugs in underneath: procedures, contracts, project history, cited and permission-aware, so it can answer from those too. Bring the one you already run, or use ours. We run nine of them on our own company.
“How is this different from the AI assistant?”
Fair question, and people ask it in every conversation. The assistant is where people ask: a chat window, a model, a place to work. Your company brain is what the company remembers: the lessons, the decisions, the guardrails, the brand.
You can have either without the other. Plenty of companies run our AI Assistant with no company brain behind it and get real value. And one is worth installing even if your people keep using Claude and ChatGPT and never open anything of ours, because it is the memory underneath that makes those tools know your company.
Together they are better, which is why we run both. But if someone tells you a company memory and a chat window are the same purchase, they are selling you one and calling it the other.
Easy demo. Hard system.
Chat with your documents demos in an afternoon: point an indexer at a folder, ask a question, applause. Running one at company scale is a different sport. Permissions that never leak, even when two systems disagree about who may see what. Search that stays fast while thousands of documents pour in. Answers that admit it when the documents don't know. We learned those lessons in production, on our own Brain, before asking any client to trust one.
The demo is the first 20 percent. The war stories behind the other 80 are written down, numbers included: read them in the blog.
We run this on ourselves, every day
Before a brain gets installed anywhere, it has to survive our own company: 40+ people, nine knowledge bases, real deadlines and no patience for tools that need babysitting. This is a normal week with one.
None of it is spectacular. That's the point. The value of an extra brain isn't one impressive demo, it's the two hundred small questions a month that no longer interrupt anyone.
A deck without the interruptions
A slide deck built on a developer's feasibility test, without costing him half a day of questions. He verified the result in five minutes. That was his entire involvement.
Proposals with real numbers
The technical approach and performance figures from an application we built last year, answered in plain language, with the project documentation as source.
Client meeting prep
What we've done in that sector, which technology we used, and which colleagues worked on it.
Lessons that arrive early
A developer starts a data migration and the Brain volunteers the lesson from the colleague who hit the same trap in March. Before the work starts, not after.
Who should I talk to?
It knows who built what and who has worked with which technology, and it answers with a name. Sometimes the most useful thing an extra brain can do is point at a human one.
Slides that arrive on brand
An assistant builds a deck and the triangles sit where they should, because it pulled the brand kit first and a check looked at the result before anyone did.
“Can we put all our data in it?”
Every conversation about a company brain ends up here. The honest answer: depends on what you mean by data.
Your documents
With one caveat: be selective. Remember when data lakes quietly turned into data swamps? The same fate waits for anyone who points an indexer at everything. Index what people actually use.
The knowledge in people's heads
The Brain captures lessons while people work, and that only happens if working with it is easier than working without it. That's a design problem more than a technical one.
Your figures
The Brain can hold your KPI definitions and point to the official report. What it can't repair is what sits underneath. If finance and sales define margin differently, any brain will pick one and answer with confidence. Definitions, semantic models and data quality are proper data work. That's our day job.
The data work underneath the third answer is what our build teams and analytics practice do all day. Once that foundation exists, your company brain is what makes it findable for everyone.
If you want one
Ours runs in our environment, on our infrastructure, under our permissions. We built it so the same stack installs in yours as your own company brain. What that honestly takes: for the document brain, a few weeks to first value. For the lessons, some habit-forming, which is culture work as much as software. For the data brain, it depends on the state of your data, and the only honest way to find out is to look at it rather than promise around it.
Curious about the engine underneath the document layer? See how Nexora works.
Frequently asked questions
Is the Plainsight Brain a product we can buy?
We install the same stack in your environment, with one honest caveat: it is a system, not a box. It started as the brain we built for our own team, it is still the one we use every day, and that is why a demo is a working system rather than slides. The document layer (Nexora knowledge bases) and our secure AI Assistant are products in their own right; your company brain is what connects them into one memory.
Which AI tools can connect to your company brain?
Any tool that speaks MCP, the open protocol for connecting AI assistants to real systems. Today that includes Claude, ChatGPT, most coding assistants, and our own AI Assistant. You don't have to standardise on one tool to get one memory.
How is this different from Microsoft Foundry IQ or Work IQ?
Microsoft is building memory into its own stack, and we work with Microsoft rather than against it. If your company runs on Microsoft 365, that plumbing is useful and your company brain sits beside it rather than in its way. Two things are different. A company brain is not tied to one vendor's tools: Claude, ChatGPT, the coding assistants and our own AI Assistant all read the same memory through MCP, an open protocol, so you don't have to standardise on one suite to get one memory. And it holds more than documents: the lessons your people learn, the guardrails for how AI-assisted work should happen, and your brand kit as the single master. We pick what fits your company, and we're tied to no vendor.
Does the knowledge survive when people leave?
That is most of the point. Lessons are captured while the work happens rather than in an exit interview, so what someone worked out stays reachable after they have gone. It does not replace a handover, it makes one possible: the next person inherits the reasoning, not just the file names.
Can it show someone a document they couldn't already open?
Never. Permissions are enforced per document, not per promise. If two layers of the system ever disagree about who may see what, it answers with nothing rather than leaking. We know, because it happened to us: it looked broken, and it was doing its job.
What does installing a Brain take?
For the document brain, a few weeks to first value: connect the sources people actually use, let Nexora index them, start asking. The lessons layer takes habit-forming, which is culture work as much as software. The data layer depends on the state of your definitions and models, and the only honest way to find out is to look.
Where does it run?
In your own environment, under your own permissions. Ours runs on our Azure tenant; yours runs on yours. Nothing about a company brain requires sending your documents to someone else's platform.
Can it answer questions about our figures?
It can hold KPI definitions, know which report is the official one, and point at the right semantic model. It cannot repair disagreeing definitions or shaky data quality. When those foundations are real, chat with your data works. When they aren't, it is honest about it.
How do lessons get into it without extra admin work?
They're captured while people work, from the tools they already use. Pushing something into company memory stays a deliberate choice, and agents judge every candidate: is it new, is it right, is it worth keeping. Nobody writes memos to a database.
Can it keep our output on brand?
Yes. Your brand kit lives in your company brain as the single master: the rules, the real asset files, the tone of voice. Tools that produce branded output pull it first, and a checker reports what broke, down to the rule. It reports rather than blocks: people decide what ships.
Want to see a company brain work before you believe in one?
Ask us for a demo. We'll show you ours: the real system our 40+ people lean on every day, not slides.
Ask for a demo