We could have taken the simplest route: call models from an external provider and consider it done. But we’ve chosen another path — we run our own models on home infrastructure. This isn’t just a technical choice; it’s a conviction about what a trustworthy intelligent system should stand on. Let us explain why.

Independence

The first reason is independence. When the core intelligence of a product is tied to an external provider, the product’s fate is tied to it too: to its pricing, to its availability, to its decisions about what’s allowed and what isn’t. We believe a serious system shouldn’t be that dependent. Running our own models means the product’s path is in our own hands, not in the hands of someone whose decisions we can’t control.

Keeping data at home

The second reason is data. When data is sent to an external service for processing, it leaves your boundary of control. For many uses — especially those dealing with sensitive information — this is simply not acceptable. Running models on home infrastructure means data stays home: under the roof where it should be, without having to go somewhere it shouldn’t for processing.

Local language and context

The third reason is local fit. Models cultivated for the Persian language and context perform better in our users’ real work. Building the ability to run these models on our own infrastructure lets us invest in exactly what matters most to our users, rather than settling for what a general provider offers.

A conviction, not a claim about numbers

We want to be honest here: this is a strategic decision, not a claim about numbers. We’re not saying this route is always cheaper or faster; we’re saying we value independence, keeping data at home, and long-term durability, and we’re willing to pay for it. This is a choice based on priorities, and we state those priorities clearly.

Putting it together

Running our own models on home infrastructure is a long-term entrenchment: independence from others’ decisions, keeping data under our own control, and investing in local fit. We believe an intelligent system meant to stay trustworthy for years should stand on a foundation it controls itself. This is our decision, and this is its reasoning.