A sustainable commitment funded in Saudi Riyals to spread data literacy across all regions of Saudi Arabia, supporting Vision 2030 human capability goals to prepare a promising technical generation.
This is our own account of the programme. Nothing here is a third-party endorsement.
The first session was not planned as a programme. A partner university asked two of our engineers to spend an afternoon with final-year students who were about to graduate into a market that had quietly moved on without them. We expected twenty people. The room did not empty for four hours, and the questions were not about tools, they were about whether there would still be a job.
The gap was never intelligence or effort. It was access: to a practitioner who had actually shipped a system, to material in the language of the room, to an honest answer about what AI cannot do. All three are things we already have and cost us almost nothing to give. Charging for them started to feel indefensible.
Goodwill collapses in a hard quarter. So we took the decision out of the quarter: a share of revenue is ring-fenced before anything else is budgeted. In a strong year the programme grows. In a weak year it shrinks with us, but it does not disappear, and it never competes with a marketing line for survival.
A sustainable business puts back more than it extracts. Knowledge works the same way: a market where only four firms understand data governance is a market that eventually stops producing anyone worth hiring, including for us. Teaching openly is the least sentimental thing on this page. It is how the ground stays fertile.
No form, no email wall, no lead scoring on anything we teach. If a session turns into a sales conversation, we have broken the promise. Several organisations we taught have never bought anything from us, and the programme counts those cohorts exactly the same as the rest.
A substantial share of every dollar Bilytica earns goes back into free AI and data education for the societies we work in.
We teach in the room, not in a portal.
We teach in the language people think in.
We publish the material so the cohort can run again without us.
We never convert a no-cost session into a pipeline entry.
