Not a chatbot. A memory.
The Plainsight Brain is the shared memory layer we built for our own team: every AI tool we use connects to the same company knowledge, lessons and guardrails. And the same stack installs in your environment.
In plain terms: one shared memory under every AI tool we use. What one of us learns, every tool knows. Install it, and it remembers your company instead.
Ask for a demoOne memory under every tool
Every AI tool our 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 you open, it already knows the company.
No favourite tool required. The memory is the standard, not the chat window. Meet our AI Assistant.
Three things live in that layer
Our documents
Nine knowledge bases: project documentation, finance, HR, sales, the works. Nexora, our knowledge-base engine, makes them searchable in plain language. One rule we refuse to break: the Brain never shows you a document you couldn't already open yourself.
How Nexora works →Our 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.
Our guardrails
The Brain brokers access to systems and secrets instead of letting them get pasted around, and it knows our rules for how AI-assisted work should happen. An assistant that knows everything is only useful if you can also trust it with everything.
What a normal week looks like
None of these are 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.
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.
“Can we put all our data in it?”
Every conversation about the 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, the Brain is what makes it findable for everyone.
If you want one
The Brain runs in our environment, on our infrastructure, under our permissions. We built it so the same stack installs in yours. 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?
It's the system we built for ourselves, and we install the same stack in client environments. The document layer (Nexora knowledge bases) and our secure AI Assistant are products in their own right; the Brain is what connects them into one memory. Start with a demo and we'll show you ours.
Which AI tools can connect to the 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.
Can the Brain 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, the Brain 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 the 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, the Brain is honest about it.
How do lessons get into the Brain 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.
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