The AI-driven e-invoice compliance platform that validates every invoice before it reaches your ASP

It is a validation layer that checks every invoice for TRN accuracy, duplicate numbers, PINT AE structure and unusual amounts at the moment it is created, before it is sent to your Accredited Service Provider, and keeps a searchable audit trail. It works alongside your ASP and does not replace it.

Yes. Under the Ministry of Finance mandate every e-invoice has to move through a Peppol-certified Accredited Service Provider. Our platform sits in front of that connection and improves the data your ASP receives.

Voluntary adoption opened on 1 July 2026, a pilot for the top 100 taxpayers begins in August 2026, and mandatory use starts on 1 January 2027 for businesses with AED 50 million or more in annual revenue, with other large taxpayers expected from February 2027. Confirm your bracket with your tax advisor.

PINT AE is the Peppol-based invoice data format used in the UAE e-invoicing model. The supplier submits invoice data in PINT AE to its Accredited Service Provider, which validates it and converts it to the UAE standard format before it is exchanged and reported to the tax authority.

An ASP validates the invoice data it receives. An AI layer works earlier, on the data itself: it matches TRNs against counterparty records, spots duplicates across your systems and flags amounts that break a vendor's normal pattern, so fewer invoices are rejected or questioned later.

Yes. It integrates over APIs with the ERP or billing system you already run, so there is no migration. We confirm the integration path for each system in the readiness assessment.

Cost depends on invoice volume, how many ERP and billing systems are connected, and which ASP you use. We scope it after a short readiness assessment rather than publishing a rate card.

Cost scopes to the problem, not a headcount rate card. After a free AI audit we return a fixed, itemized quote tied to clear milestones, so you know the number before any work starts.

Fixed price, tied to outcomes and scope. We don't bill open-ended hours — every engagement has a defined plan and cost agreed upfront.

Most engagements produce a working, data-validated prototype in 2–4 weeks, with full production rollout typically inside one quarter depending on scope and integration complexity.

Yes — we scope a proof of concept against your real data first, so you see measurable value before signing off on the full production build.

Security is built in by default: HIPAA, SOC 2 and GDPR-aware architecture, encryption in transit and at rest, role-based access control, and full audit logging on every deployment.

No, not without your explicit consent. Your data is used to serve your deployment — it is never used to train models for other clients.

Yes. We support private-cloud and on-premise deployments hosted within the UAE and wider GCC, so data-residency requirements are met without sending your data offshore.

Yes — for teams with strict compliance or residency requirements, we deploy self-hosted open models or private cloud infrastructure instead of public model APIs.