A student working late with the Sigmix Student Productivity Suite
Sigmix Student Productivity Suite

Give your students the gift of AI.

Not a lab full of AI equipment — a productivity suite in every student's hands. Essays, research, revision, presentations, code and job applications, in Arabic and English, on tools the institution owns and pays a flat price for.

What students get The cost argument
Sigmix Student Productivity Suite
Every student, not a licensed few Student data stays in-Kingdom Arabic-native Central guardrails PDPL-aligned
The suite

The tools a student actually uses, every week.

This is a productivity suite, not an AI lab. Nothing to install, nothing to configure — a student signs in with their university account and starts working.

Essays & assignments

Structure an argument, tighten a draft, check the reasoning — in Arabic or English, with the student doing the thinking.

Research & reading

Summarise papers, pull out the argument, ask questions across a reading list instead of re-reading it at 2am.

Presentations

Slide decks and speaker notes from a set of findings — the part that always gets done the night before.

Coding & projects

Explains as much as it drafts. For engineering and CS students, a patient tutor that never gets tired of the question.

Revision & explanation

Re-explain a concept three different ways until it lands. The tutoring a student would otherwise have to pay for.

CVs & job applications

Graduating students draft applications, cover letters and interview prep — bilingual, for a bilingual job market.

It teaches, it does not just answer. Tone is tuned for learning — it shows the working, asks what the student thinks, and explains rather than hands over. The institution sets how far that goes.
The part that decides it

A fixed cost beats a metered one when 4,000 students log in.

Most institutions that pilot AI succeed technically and then stall commercially. The pilot cost almost nothing because thirty people used it. Roll it out to the whole cohort and the invoice becomes unbudgetable — so the rollout quietly doesn't happen.

Per-token pricing punishes you for succeeding.

On a metered API, the better your adoption the worse your bill. A department that uses it heavily during exam season generates a spike nobody forecast, and the finance office responds the only way it can — by capping usage. The students who most needed the tool are the ones who lose it.

An appliance inverts that. You buy the compute once, and every additional student, class and assignment costs nothing more. The budget line is known before term starts and does not move — which is the only way an institution can commit to putting a tool in front of an entire cohort.

✕ Metered API Cost scales with adoption

Usage spikes at exam and submission time — exactly when students need it. Budgets get capped, access gets rationed, and the tool becomes a privilege rather than a resource.

✓ Sigmix on your own hardware Cost is flat and known

One capital line, forecastable per year. Ten students or ten thousand, the invoice is the same. Faculty can design the tool into a course without asking finance first.

Fixedannual cost
Unmeteredon your own hardware
0per-token surprises
100%in-Kingdom residency
Guardrails

Set the boundaries centrally. Once.

The objection to AI in education is rarely the technology — it is that nobody can see what students are doing with it, or stop the parts the institution is not comfortable with. That is an administration problem, so it needs an administration answer.

Capability gates per faculty

Turn tools on and off by department. A medical faculty and a design faculty do not need the same suite, and you decide that centrally rather than per student.

Audit trail of who changed what

Every capability change is recorded — who enabled it, when. When a policy question arrives later, the answer is in the log rather than in someone's memory.

Student data never leaves

Coursework, records and submissions stay on institution hardware or in-Kingdom cloud. Nothing is used to train a model — yours, ours or a vendor's.

Adaptive tone for learners

Output pitched for teaching rather than for a risk committee — explanatory, patient, and willing to show the working rather than just the answer.

Built for academic integrity

The institution sets the policy; the platform enforces it and records it. Use it to teach with the tool rather than to police it after the fact.

Your existing identities

Active Directory or SSO from day one, so accounts follow enrolment and leave when the student does.

Why it's a gift, not a licence

The graduate who already knows how.

A student who leaves university fluent in these tools starts their career ahead of one who was told the institution could not afford the licence. That gap is not academic — it shows up in the first job application, and it compounds for years afterwards.

Right now that advantage is going to students whose families can pay for a personal subscription. An institution that provides the suite hands the same advantage to everyone on the roll — the scholarship student and the self-funded one, in the same week, with the same tools.

That is the part worth spending on. Not AI equipment in a lab that thirty people book — a productivity suite in four thousand hands.

A graduate in a first job interview, talking across a desk Graduates who already know how

What the gift actually looks like, student by student.

✓ First year Stops drowning

Reading lists become answerable. Essays get structured instead of stared at. The student who would have quietly fallen behind, doesn't.

✓ Mid degree Starts building

Code that gets explained rather than copied. Presentations, group projects and research that go further because the grunt work is shorter.

✓ Graduating Walks in employable

CV, cover letter and interview prep in both languages — and three years of fluency in the tools their employer is already buying.

Students working together on a group project
Group projects, with a tool every member can actually reach.
Students collaborating around a laptop
The same suite the Kingdom's employers are adopting.
For faculty and administration

The staff workload is the quiet win.

Teaching material, assessment drafting, admissions correspondence, research summarisation and internal reporting are all bilingual document work — which is precisely what the suite is for. Faculty tend to feel the benefit before students do.

And because the cost is fixed, nobody has to justify a department's usage line by line at the end of term.

A student taking notes in a lecture theatre while a lecturer presents Teaching material & assessment
A student presenting to a seminar group
Presentations built in an evening, not a weekend.
A tutor and a student working through something together on a laptop
Explained as many times as it takes, without booking a slot.
How institutions deploy it

Usually a rack, sometimes the cloud.

Most universities land on an on-prem appliance — it is the posture where the cost stops being per-use, and where research data can stay on campus. The in-Kingdom cloud is common for smaller institutions or a first cohort.

On-prem appliance

The usual answer. One capital line, unmetered use across the institution, and research data that never leaves campus. See the appliance →

In-Kingdom cloud

Faster to start, elastic across faculties, data still resident in Saudi Arabia. A common way to run the first cohort while procurement runs.

Sealed desks where needed

Sigmix Zero for research groups and administrative desks handling material that should not touch a network at all.

Questions

For deans, IT and procurement

Is the cost really fixed?
On an appliance, yes — you own the compute, and we do not meter usage on hardware you bought. The variable is capacity: a box sized for 500 concurrent users will slow down at 5,000, so sizing is the conversation rather than billing. On the in-Kingdom cloud, pricing is per seat rather than per token, which is still forecastable but does scale with headcount.
Can we stop students using it for assessed work?
You set the policy and the platform enforces it — capability gates per faculty, with an audit trail of who changed what. Many institutions choose the opposite approach and teach with the tool openly. Either is supportable; the point is that it is your decision, applied centrally, and recorded.
Where does student data go?
On an appliance, nowhere — it stays on campus hardware with no outbound path. On the in-Kingdom cloud, it stays inside Saudi Arabia. In neither case is student content used to train any model, ours or a vendor's.
Is the Arabic good enough for academic use?
Output is generated by an Arabic-first model rather than translated, and the interface mirrors to full right-to-left. Test it against your own material during the evaluation — Arabic quality is the thing most worth checking yourself rather than taking on trust.
How does it fit our identity system?
Active Directory or SSO integration is included, so accounts follow enrolment and are removed when a student leaves. No separate user directory to maintain.
What does a first deployment look like?
Usually one faculty or one cohort on the in-Kingdom cloud while the appliance goes through procurement, then a move to campus hardware. It is the same product, so nothing your staff learned gets thrown away.
A graduate in a job interview
Next step

Bring your finance office to the first call.

The technical conversation is short. The one that decides it is about cost at full cohort scale — so bring the person who will have to sign for it, and we will size the box against your actual student numbers.

Book a briefing Try Workspace free Pricing
Public-sector and education pricing is handled through the briefing rather than a published discount — usually alongside the framework or tender process the institution is already running.