Mizan
VAT and tax collection on one auditable layer. Mizan keeps taxpayer, auditor, and regulator looking at the same live numbers — sovereign, traceable, reconciled in real time.
Tax authorities · Treasury · AuditDiscuss →
Institutional AI, made ordinary.
Built for governments & municipalities · Engineered to GDPR + EU AI Act · Sovereign by default
Tax collection, education, lending, citizen services. Workloads where AI has to be auditable, sovereign-deployable, and right on the first run — built that way from the first commit, not retrofitted.
VAT and tax collection on one auditable layer. Mizan keeps taxpayer, auditor, and regulator looking at the same live numbers — sovereign, traceable, reconciled in real time.
Twelve education tools, one platform. Edublend replaces the LMS, SIS, analytics, and assessment stack with a single AI-native system — and gives institutions back the staff hours they used to spend stitching the old one together.
Lending decisions that get smarter every day. Idaimi learns from every approval, payment, and repayment in production — so your model improves as the market moves, without an engineering ticket.
For citizens: the right job, course, or service — found, not searched for. For governments and municipalities: one orchestration layer across employment, education, and public services, instead of seventeen disconnected portals.
When the workload is too specific for a packaged product, we co-design, co-build, and operate the result — in-country, on your stack, on your terms.
Every product ships to an active institutional deployment.
Every discipline, owned by the same team. We don't hand work between specialists — we design, build, ship, and operate. The same engineers who prototype the agent run it in production six months later.
Agents that hand off, recover, and finish real workflows — across tools, data, and human review. Built around production patterns: timeouts, fallbacks, audit trails. Not demo loops.
Software where AI sits in the architecture, not the toolbar. Systems that learn, adapt, and improve in production — with humans in the loop exactly where the decision should sit.
Data curation through full pre-training. We optimize for what the model has to do downstream — not for a leaderboard.
Fine-tuning, RLHF, and evaluation pipelines that hold up to your regulator's definition of correct. Not just ours.
In-country, on-prem, or air-gapped. Inference, observability, and lifecycle tooling for the deployments that can't leave your jurisdiction.
Small team. Deep work. The figures that matter aren't headcount or funding — they're what's in production.
We work with the institutions that can't afford to get AI wrong — primarily governments and municipalities. Our products and engagements are designed to meet that bar from day one.
Most AI vendors sell pilots. We ship products and engineering that hold up in audited, regulated environments. The work isn't to make AI feel exceptional. It's to make it feel like infrastructure.
The same concerns come up in every first conversation with a ministry, municipality, or enterprise. Here's the short version of how we answer them.
Every product ships with audit trails by default — not as a bolt-on. We're built to GDPR, the EU AI Act, ISO 27001, ISO 42001, and UAE Data Protection Law from day one, and we work alongside auditors, not around them.
In your jurisdiction, on your infrastructure if you need it. In-country, on-premises, and air-gapped deployments are standard for sovereign workloads — and supported on day one, not after a six-month migration.
Yes. We hand over source, models, and runbooks on request. No vendor lock-in by contract or by code — most of our long-term engagements continue because the team chooses to keep us there, not because they have to.
30 minutes · NDA available · We reply within one business day.