We help GCC businesses put real AI features into the apps they already use — chatbots, OCR, forecasting, internal copilots. Built on your data, hosted in your cloud, handed over with the keys.
We pick one painful workflow, build it on your real data, and put it in your hands. If it doesn't earn its keep, we stop. No 6-month commitments to find that out.
Everything runs in your AWS or Azure account. We don't train models on your customers, we don't ship your data offshore, and the keys stay with you.
AI is a button in the screen your team already uses — not yet another tool to log into. We integrate with the POS, ERP, CRM and admin you already have.
Every agent ships with logs, evals, and a humans-can-review-this dashboard. When the model starts drifting, you'll know before your customers do.
A support bot that knows your product. An internal assistant that drafts replies, summarises tickets, and pulls answers from your docs. Built on GPT-4 or Claude, grounded in your data — not on a public blog.
When the off-the-shelf model is wrong about your business, we fix it. Vector search over your manuals, contracts, and history — plus fine-tuning when retrieval alone isn't enough.
Invoice and ID OCR that handles Arabic + English. Shelf cameras that flag empty SKUs. Photo-to-spec product tagging. The unglamorous vision work that quietly saves hours every day.
Demand forecasts that the operations team will actually trust. Reorder suggestions, churn flags, no-show predictions — packaged as a screen someone uses, not a notebook nobody opens.
Lead routing, inbox triage, document classification, draft replies. The repetitive desk work that eats your team's morning. We wire it into the CRM and ticketing tools you already pay for.
Most clients don't need a new app — they need AI features inside their existing Laravel, Angular, React, or mobile build. We slot in cleanly with your auth, billing, and database.
You jump on a call and describe what you want — in English or Arabic, in product terms, not tech terms. One of our senior engineers pairs with an AI co-pilot and builds it live. By the end of the week you usually have a working app, not a Figma file.
you ▸ build a restaurant POS dashboard that flags low-stock items and drafts the reorder email.
aim ▸ scoping… choosing Laravel + Livewire + GPT-4o draft agent…
✓ schema generated · ✓ Livewire component · ✓ email draft agent
you ▸ make it RTL and add an Arabic version.
✓ i18n wired · ✓ RTL stylesheet · ✓ ar-translations.json
you ▸ ship to staging.
✓ deployed → staging.aiminfosoft.com · runtime 38s
you ▸ ▍
We talk through what's actually slow, annoying, or expensive in your business. By the end we agree on one place AI might help — and one place it probably won't.
Before we promise anything, we check that the data exists, is accessible, and isn't a mess. If it is a mess, we tell you straight.
We build the first version against your real data, not a sample. You can click it, break it, and tell us what's off. Most clients have something running in 2 weeks.
Once you're happy, we plug it into your POS, ERP, CRM, or app — properly. Auth, logs, rollback, the unsexy stuff that keeps it alive at 2am.
Models drift. Customers ask new things. We stay on a monthly cadence, watch the evals, tune prompts, and update the model when it earns the upgrade.
We're not loyal to any one vendor — we pick the model and the host based on what your use case actually needs.
No fancy brief required. Tell us what's slow, what's manual, or what you wish your app did — we'll reply with what's actually feasible and what it would cost.
Common questions about scoping, data privacy, timelines, pricing, and our vibe coding workflow for AI implementation projects.
View all FAQsYes — most of our calls start that way. Tell us what's slow, manual, or annoying about your business and we'll tell you honestly where AI fits and where it doesn't. The first call is free and you walk away with a shortlist either way.
It's how we actually build now. You describe the feature in plain words on a call, and a senior engineer of ours builds it live with AI helping with the typing. You see it working the same week. The code is still written by a human who knows what they're doing — AI just removes the grunt work.
Both, depending on what's cheaper for you. If a hosted model (OpenAI, Claude) does the job, we use it. If your use case is too specific or your data is too sensitive, we fine-tune an open model (Llama, Mistral) and host it inside your cloud. Either way you're not locked in.
Understood. For anything sensitive we run the model inside your AWS or Azure account, so your data never leaves your tenant. We sign an NDA before we even see your data, and we only get access to what we strictly need for the build.
A focused first version takes about 2 weeks. A vibe coding session can produce something demo-able in a few days. Going from that to a fully integrated production rollout — with logs, evals, fallbacks — usually lands between 4 and 10 weeks.
Honestly, it depends on the use case and how clean your data is. Small focused builds start in the low five figures (USD). Bigger end-to-end rollouts go up from there. Quickest way to a number is a 30-minute call — calendly.com/aim-infosoft/let-s-talk.
Yes — fully. Source code, prompts, fine-tuned models (where applicable), and the deployment scripts all get handed over. We're happy to be replaced by your in-house team once things are running.
That's actually our favourite setup. We pair with your engineers over Slack and Zoom, they pick up the AI-assisted workflow as we go, and by the end of the project your team can keep building without us.
Retail and restaurant POS, real estate, diet and meal planning, healthcare, BPOs, and a few internal tools for services firms — mostly across Qatar, UAE, Kuwait, Bahrain, Saudi, Oman, and India.
Yes. Every chatbot, OCR pipeline, and UI we hand over works in Arabic and right-to-left. We test prompts and outputs in both languages before we call something done.