Meet PITIR TECH: The Mission and Principles Behind DijiFlow Dictate

Open almost any dictation app and the same thing happens out of sight: you speak, and your voice leaves the room. It travels to a server, gets transcribed by a model you cannot see, and comes back as text a moment later. The convenience is genuine. But so is the trade you just made — your most unguarded form of input, recorded and processed on hardware you do not own.

PITIR TECH started from a stubborn question: why should that be the default? We are the software studio of Ninu Limited in the UK, and we build privacy-first AI tools that run entirely on your own hardware. Our first product, DijiFlow Dictate, is the clearest expression of that idea. This page is less about us and more about what we are trying to prove.

Good software should earn your trust by design, not ask you to take it on faith. If your voice never leaves your device, privacy stops being a promise and becomes a fact.

Why on-device, and why it matters to us

The decision at the heart of DijiFlow Dictate is easy to say and hard to engineer: everything runs locally. Speech recognition happens on your own machine, using open-source Whisper speech models through Apple's CoreML and the open-source WhisperKit. Nothing is uploaded. No account, no cloud, no telemetry.

That is not a feature we bolted on for a marketing line. It is the whole point. When the audio never leaves your computer, there is no server log to leak, no breach that can expose your transcripts, and no quiet policy change that starts sending your words somewhere new. The architecture does the work that privacy policies usually have to. We would rather build the guarantee than write it.

It also means the app keeps working when the network does not. You can pull the plug on your connection mid-sentence and dictation carries on exactly the same. That is the bar we hold ourselves to: if a tool needs the cloud to do its main job, it is not truly yours.

What we believe

A handful of principles shape nearly every decision we make about DijiFlow Dictate.

1. Privacy is structural

   The safest data is the data that was never collected. We design so the sensitive thing — your voice — simply never travels anywhere it could be lost.

2. Stay out of the way

   Dictation should feel like an extension of typing, not a place you visit. The app lives in the menu bar; you press a hotkey, speak, and the text lands where your cursor already is.

3. Be honest about trade-offs

   We tell you plainly what each speech model costs in size and what it buys in accuracy, and we keep a genuinely useful Free tier instead of crippling it to force an upgrade.

4. Build on solid ground

   We stand on open foundations rather than reinventing them. DijiFlow Dictate is built on EasyDictate by Charles Lukowski, used under its MIT license, and we are glad to say so.

Standing on open foundations

We did not invent speech recognition, and we are not going to pretend otherwise. DijiFlow Dictate grew out of open-source work — Whisper, WhisperKit, and EasyDictate by Charles Lukowski, whose MIT-licensed code is part of what we built on. Crediting that is not a footnote we tolerate; it is part of how we think the field should work. The interesting problem was never the model alone. It was making something private, fast, and pleasant enough that you reach for it without thinking, on a Mac today and on Windows too.

What we are, and what we are not

PITIR TECH is a small, focused operation. We are not building a platform that monetizes your data, and we are not interested in collecting more than the product needs to function — which, by design, is essentially nothing. We do not want your email to start dictating, your usage to refine an ad profile, or your recordings to train the next model. None of that is on the table, because none of it ever reaches us.

The measure of success we actually care about is quiet. It is DijiFlow Dictate becoming part of how you work without demanding your attention, so you never have to wonder where your voice went. The answer is always the same, and it is the entire reason we built this. It stayed with you.

If that way of building resonates, the best way to understand it is to see how people put it to work — take a look at the ways DijiFlow Dictate fits into real work.