Niello/Company/About
Why Niello exists

Nobody approved this.
It happened anyway.

AI is already inside almost every company, and almost none of it went through a review. I started Niello to build the layer that sits underneath that work, so the work keeps its own record.

There was never a meeting where your company decided to start putting its work through a model.

There was a deadline on Wednesday, a tool that happened to be open, and somebody who wanted to go home.

The usual answer is a policy and an approval queue. One gets skimmed. The other gets walked around.

So the control has to sit where the work is. If the tool keeps the record itself, nobody has to be trusted to remember.

A letter from the founder

Why I started building this

Anything that depends on somebody remembering a rule will fail at the moment it matters most.

The part I keep coming back to is that nobody signed anything. There was no meeting where a company weighed the risk, took a view and decided to start running its work through a language model. It began one deadline at a time, and by the time anyone thought to ask, it was already how the work got done.

You see it in small things. A note-taker that joined the call before anyone established whose account it belonged to. A supplier’s product that grew an assistant tab over a weekend. A draft contract pasted into a chat window near midnight because it was due in the morning. None of that is reckless. It is people trying to finish.

The standard response is a document. An acceptable-use policy goes round, people scroll to the end and tick the box, and a request form appears for anything new. Give it a month and the form has a queue, the queue has a workaround, and the workaround is somebody’s personal account on their own laptop.

I do not think that is a discipline problem, and I do not think a stricter policy fixes it. A policy asks people to recall a rule at exactly the moment they are least able to — late, tired, one job left before they can stop. And when it fails, it fails quietly. Nobody finds out until somebody asks a question that nobody can answer, and then reconstructing the answer costs more than the original job ever did.

Most tools in this area are sold to the people who write the policy. This one is built for the people who have to live with it. That is a smaller market. I think it is the right one.

So the question I started with was not how to stop people. It was narrower.

What if the tool wrote things down by itself?

Not a monitoring layer bolted on beside the work — people switch those off, or route around them, and honestly, they are right to. The same software you would want to use anyway, keeping its own record because that is simply how it works.

That is what Lumen is. It writes the day up from your meetings, your notes and the jobs you handed over, so Tuesday still makes sense on Friday. When it answers a question it names the file and the page it read, so you can check it rather than trust it. When you give an agent a set of files, that set is the boundary and it cannot read around the edge of it. And when the work should not leave the building, the model runs on the machine in front of you — through Ollama, LM Studio, GPUStack or Intel’s OpenVINO server, whichever you already have — with the network switched off.

Mesh is the same idea applied to a whole company rather than one desk: the same rules, the same record, and an account of the logins that belong to software rather than to people. It is in early access, and not yet something you can run yourself. I would rather write that here than let a demo imply otherwise.

It is also worth saying who this is not for. If nobody at your company is ever going to be asked what the AI touched, Niello is overhead you do not need. If what you want is one assistant inside one tool, there are cheaper and better things to buy. And if you need a certificate on the wall this quarter, we do not have one to give you.

Which is the first of the things we have decided not to do, each of which costs us something. We do not put a compliance badge on this site, so we lose the easy tick on procurement questionnaires — our evidence is mapped to the clauses those frameworks ask about, and mapped is not certified. Preview features are labelled preview in the product as well as on this site, even where a softer word would keep a conversation moving. And when something is half-built we say so, including in the meeting where it would be far easier not to.

We will get things wrong. When we do, the fix is the one the product argues for everywhere else: write it down, in public, where somebody can check it.

None of this is a claim about the future of work. It is a smaller bet — that the record should be a by-product of doing the job, rather than a project someone runs afterwards with a spreadsheet and a deadline. If that sounds obvious, I am glad. I would rather be obvious than clever.

If you want to judge it, judge the mechanism: the platform page has the whole thing, six layers and one request end to end. If you would rather use it than read about it, Lumen is free on one computer. And if you only do one of these, do the smallest one — tell me which part of this page you think is wrong.

Founder, Niello
Written to be argued with — tell me where it is wrong
niello
/nɪˈɛləʊ/  ·  nee-EL-oh
Where the name comes from

A record you cannot lift off

Niello is a black mixture of silver, copper and lead sulphides. A metalworker cuts a design into the surface of a piece, fills the lines with it and polishes the whole thing flat again. The pattern is not sitting on the object. It is in it.

You can scratch at it for a long time without getting it off, and if you do get it off, you have ruined the piece. That is roughly the argument this company is making about records.

What we build

One layer, in two halves

Lumen is the half a person uses. Mesh is the half a business answers with. They share the same rules, the same memory and the same record — which is the only reason either is worth having.

Available

Lumen Desktop

An AI workspace that writes the day down: meetings, notes, jobs handed over, and answers that cite the file they came from. It runs on the machine in front of you, and it is free on one computer.

Coming soon

Lumen Mobile

The same memory, captured away from the desk. Photograph a page, catch a decision in a corridor, and it joins the index the desktop already holds.

Early access

Mesh

One set of rules for what a company’s AI may touch, and the record of every decision made at the boundary. This is what Mesh is being built to do; it is not yet something you can run yourself.

The platform page is the mechanism, not the pitch. Six layers, one request flow and where the models run — read it end to end.

Four rules we hold ourselves to,
including the awkward one.

01

We ship the honest version

Half-built things are marked half-built. Early access means early access. Preview means preview. Evidence mapped to a framework is never described as covered by it.

02

The record comes first

If a feature cannot say what it read and which rule it followed, it does not go in. Working that out afterwards is the expensive part, and it is always somebody’s fortnight.

03

Start on the hardware you own

The first place we try to run a model is the machine already in the building. Sending material to somebody else’s computer is a decision, and it should look like one on screen.

04

Build for the person who gets asked

Sooner or later somebody has to say what the AI touched, and on whose authority. Everything here is aimed at making that a short conversation rather than a fortnight of archaeology.

The awkward one is 01, because it is the one that costs money: a vaguer answer wins more meetings than an honest one. We are fairly confident about these four and much less confident that four is the right number — ask again in a year and one of them may have moved.
Plainly

Where we are today

Most of this category is sold ahead of itself. So here is the state of the work, in one list, with nothing rounded up.

If a line changes, this page changes with it.

Lumen DesktopMac, Windows and LinuxShips today
Local model runtimesOllama, LM Studio, GPUStack, Intel OVMSShips today
Hosted modelswith your own provider keysShips today
Connectorscalendar, inbox, drive, messagingPreview
Lumen Mobilecapture away from the deskComing soon
Meshestate-wide rules and evidenceEarly access
FrameworksEU AI Act, ISO 42001, SOC 2, NIST AI RMFEvidence mapped
Mapped is not certified. Evidence lines up with the clauses those frameworks ask about. Niello is not currently certified against any of them, and we will not imply otherwise.
Careers

If this is the problem you want to work on

The work is not abstract. It is a control layer that people have to be willing to leave switched on — which means it has to be quick, quiet and honest about what it did.

We would rather see something you have built than a covering letter about it.

Open roles
Contact

One address, and a person answers

A demo, a security review, a question about where a model runs, or a challenge to something on this site — all of it goes to the same place.

Judge it on the mechanism.

The platform page shows the whole thing: the six layers, a single request end to end, and where the models actually run.

Or do the small thing: write and tell us what this page gets wrong.