Knowledge doesn't start as a document. It starts as behavior: the way work actually gets done. myvue watches that behavior and builds a living picture of how your company runs, where every answer can be followed back to the moments behind it. A record your AI can finally trust.
Every AI is only as good as what it's told. Today that means wikis that went stale the week they were written, org charts that show the plan instead of the reality, and process docs written from memory. Stories about the work, not the work.
myvue watches the work itself: the behaviors that create knowledge in the first place. Across more than 19,000 work sessions so far, it has turned what teams actually do into knowledge that people and AI tools can ask directly, under one rule: no evidence, no answer. Before you give AI your company, give it the truth about your company.
Before knowledge is a document, it's a behavior: the steps someone takes, the tools they reach for, the order only they know. myvue watches work as it happens, across every tool it touches: the ERP, the browser, the desktop apps no integration can reach. First-hand, not second-hand.
A fact in myvue is tied to the moments that made it true. Ask how the books get closed, and the answer points to the sessions where the books were closed: who, in what order, with which tools. Follow any answer back and you land on the moment itself.
A wiki tells you what someone once wrote. A witness tells you what happened. Ask in plain English and the answer comes from the record of the work, with the evidence attached, while the people, processes, and knowledge behind it light up on the map.
Find every version of a process the company actually runs, measured side by side, so you standardize on the best one instead of the loudest one.
Answers from a demonstration organization.
Three people do the same process with different step orders. One version is twice as fast, and just as accurate.
Prepared by myvue lens · drawn from get_process_variations and get_process_detail
A fact confirmed daily and a fact untouched for four months are not equally true. Every piece of knowledge carries a freshness score that fades unless the behavior behind it confirms it again, worked out fresh the moment you look. Stale docs stop passing as current.
Some knowledge is held by many hands. Some lives in one head: the tribal knowledge that walks out the door when one person leaves. myvue shows you which truths have a single keeper, and what stops without them. Single points of failure, seen rather than guessed at.
myvue records the questions people actually asked and couldn't answer, and the knowledge used again and again but never written down. Not a gap list from a workshop. Gaps that were seen happening.
The model keeps its past. What was true last quarter is still there, so you can see how the company works and how what it knows has changed.
myvue doubts its own answers by design. That's what makes the record safe to hand to an AI, or a board.
It can't answer a question about the company without checking the record first.
When a name could mean more than one person, it stops and asks which one you meant.
Every score comes with the parts it's built from, so you can check the math behind any claim.
When the record is too thin to back an answer, myvue says so instead of guessing.
Anything that watches work must know what not to see. myvue's limits live in code, not in a policy doc.
Password fields are spotted at the operating-system level, and typing capture stops completely. What you copy to the clipboard is never stored.
Personal activity is spotted and thrown out before any analysis. What enters the record is the shape of the work, nothing else.
Everything travels under two layers of encryption. The record can be asked, but never downloaded in bulk, and each company's record is strictly its own.
A small agent, set up on the desktops where work happens, watches work sessions as they happen: which apps, which steps, in what order. Password fields are never recorded. Personal activity is thrown out before it reaches the model. What enters the record is the shape of the work — the behaviors that create knowledge — tied to the moments that produced them.
By watching it get used. Knowledge that never gets written down still shows up in behavior: the steps someone takes, the tools they reach for, the order only they know. myvue sees it there, gives it shape, and flags it — this knowledge has one keeper, it's needed this often, and this is what stops if they're gone.
Process mining rebuilds work from system event logs, which most companies don't have. myvue doesn't need them. It watches work at the desktop, across every app involved, and rebuilds whole processes from what actually happened, even in tools that keep no logs at all.
That's the problem myvue exists to solve. Feeding AI your documentation means feeding it a story: often stale, always partial. myvue gives your AI tools a ground truth layer over API and MCP, with knowledge drawn from real behavior, sources attached, and a hard rule against answering beyond its evidence.
No. Your tools are where work happens; myvue is where it becomes knowledge. It sits beside your stack, watches how it's really used, and turns the work across all of it into one clear record you can ask.
Point myvue at the work. The record starts forming the same day, and the first question worth asking gets answered from evidence, not memory.
A living picture of your processes, people, tools, and knowledge, where every answer can be followed back to the moments behind it.
Request accessThe same knowledge, open to your agents over API and MCP, held to the same rule: no evidence, no answer.
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