What an AI project actually costs in Algeria
Real cost drivers for a custom AI build in Algeria, why we quote per project instead of per month, and the four things that move a price up or down.
When you don't need AI
Three common business problems where a form, a spreadsheet or a phone number beats an AI build, and how to tell before you spend money.
Your data is the hard part, not the model
Most AI projects stall on inconsistent records rather than model quality. What we check before quoting, and how to get your data ready.
Building for a slow connection
What changes when your users are on mobile data outside the big cities: payload budgets, streaming responses, and what to cache.
French, Arabic and one document
Bidirectional text, mixed scripts and Latin numerals in the same paragraph: the engineering problems behind bilingual documents, and how to avoid mangling them.
Stopping a model from inventing a citation
Retrieval, citation verification and the underrated ability to refuse: how to build AI for work where a confident wrong answer is worse than no answer.
“AI for Africa” is 54 different products
Why localisation is the product rather than a feature, and what actually has to change to take an AI tool from one African country to another.
Shipping software to professionals whose work must be exact
What changes when your users are notaires, accountants or engineers: trust, auditability, and why 'mostly right' is a failing grade.
Buying AI in Algeria: what to ask before you sign
Eight questions that separate a vendor who will deliver from one who will demo well, covering data, ownership, accuracy, and what happens after launch.
Why we build our own products and take client work
How running two tracks, a product like Kateb and custom builds, makes each one better, and the tension it creates.
AI for an Algerian import and distribution business
Where AI actually saves time in import and distribution: supplier invoices, stock questions and orders arriving on WhatsApp. What to automate first, what to leave alone, and how a first project is scoped.
AI for accounting and fiduciary firms in Algeria
What AI realistically does inside a cabinet comptable: reading client documents, chasing what is missing, and finding things across years of archives. What it must never do, and how to keep client confidentiality intact.
AI for law firms and in-house legal teams in Algeria
We built an AI legal assistant used by Algerian notaires. Here is what the same engineering does for an avocat or an in-house team, what it refuses to do, and how to test a legal AI tool before you trust it.
When your business runs on WhatsApp
Orders, questions and complaints all arrive in one inbox, in three languages, at every hour. What AI can realistically do about it, what it must not do without a human, and what it costs to try.
ChatGPT is free. Why would I pay you?
A straight answer to the most reasonable objection in the business. Where the free tool is genuinely enough, where it quietly fails, and how to tell which situation you are in before spending anything.
Will it understand darija?
The first question every Algerian business asks about a chatbot, answered properly: what current models handle, where they degrade, what Arabizi and code-switching do to them, and how to design around the gaps.
What a first AI project actually looks like
The shape of a sensible first AI project: how it is scoped, what happens week by week, what lands at the end, and the four questions that decide the price. Written so you can judge any vendor, including us.
Hire someone in-house, or hire us?
An honest comparison of building an AI capability internally versus contracting it, including the cases where hiring is clearly the better call and where a hybrid beats both.
Working with an Algerian AI team: what a European or US client should know
Practical answers for clients outside Algeria: timezone overlap, working languages, contracts and IP, payment, data handling, and how a remote engagement is actually run so it does not drift.