AI development for US businesses, shipped to production, not left in a demo.

No. Azinove Group is two companies: Azinove W.L.L in Bahrain, our headquarters, and Azinove SAS in Strasbourg, France. We work with US companies remotely, and we would rather say that plainly than imply a presence we do not have. AI development suits remote work: it happens in code, data and written decisions, demos are recorded on video, and calls fall in the hours our days overlap.

Strasbourg is six hours ahead of US Eastern time, so our afternoon overlaps with the morning on the East Coast, and less with the West Coast. We plan around that instead of hoping for real-time chat: scoping is written, progress updates are asynchronous, demos are recorded so your team can watch them when it suits, and live calls are kept for decisions. You keep a written trail of every decision.

It depends on the data, the volume and your obligations. Hosted model APIs are usually the fastest way to start and need no infrastructure. Open-weight models deployed on private infrastructure give you more control over where data goes and can make sense at steady, high volume. We compare both on your own evaluation set, then document the trade-offs in quality, cost, latency and data handling so the choice is yours and explicit.

By limiting what it can do and checking what it did. Each agent gets the narrowest set of tools and permissions the task needs. Actions that change a record, send a message to a customer or move money go through a human approval step. Outputs are checked against rules before they are applied, every model call and action is logged, and the evaluation set is rerun whenever a prompt, a model or the data changes.

We measure cost per request during the pilot, on realistic volumes, so the monthly figure is known before launch rather than discovered on the first invoice. From there the usual levers are routing simple tasks to smaller models, caching repeated work, trimming the context sent with each call and setting usage limits with alerts. Cost tracking stays on in production.

Both, and we are clear about which is which. AI products we have built and shipped include PricingOS, an AI pricing-strategy platform, and Designease, an AI interior-design platform in Bahrain. For Kappeler Publicité in France we built a tool that automates CERFA administrative forms. Our clients are in Bahrain, France, Luxembourg, Germany and Switzerland; we have no named US clients to show you yet, and we will not pretend otherwise.

They can, if the scope is small and the task is frequent. For a small business, the right first project is one workflow that eats hours every week, such as sorting support email, extracting invoice data or answering internal questions from a policy manual. We scope that one workflow, measure it against how it is done today, and only suggest a second one once the first is working and used.

We can design for it, but we will be direct about the limits. We hold no SOC 2 report and no HIPAA attestation, and we do not give legal advice on what your obligations are. What we can do is keep data on infrastructure you control, use open-weight models when data must not go to a third-party API, restrict access and document every data flow so your compliance team can assess it.