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AI product development in Kuwait

Products where AI does a useful core job, from a focused first version to a production platform.

We build products where AI does real work for the people using them: assistants that answer questions, apps that analyse a photo, voice conversations, and features that save customers time. Our own AI product, Baseerah, an Islamic knowledge assistant that cites every answer, and the AI meal analysis inside Haiiba are built on the same approach we bring to client work.

We start with a focused first version that proves the AI does its job, then grow it into a full product. We have tested OpenAI and a range of open models across real use cases, can run models on your own servers, and choose on cost, privacy and quality rather than hype. We work in Arabic and English, and tell you plainly when a simpler approach would work better.

What we build

AI MVPs

A focused first version that proves the AI does its job, ready to put in front of users.

Assistants & chat

Assistants inside your app or website that answer customers in Arabic and English.

Voice

Real-time spoken conversations with an assistant, on the web or in an app.

Image & document understanding

Analyse a photo, a receipt or a form and turn it into structured data.

AI features in existing products

Summaries, recommendations and classification added to apps you already run.

Usage & credits

Plans, credits and limits so AI costs stay predictable as usage grows.

How it works

  1. 1

    Define the job

    We pick one task the AI should do well, and agree how we will measure it.

  2. 2

    Prepare the data

    We gather the content, examples and rules the AI needs to do the job well.

  3. 3

    Build & compare

    We test several models on your real questions for accuracy, cost and speed.

  4. 4

    Launch & monitor

    Answers are logged and reviewed, and quality is tracked over time.

Technical details

ModelsWe pick the model per task on accuracy, cost and privacy, not brand.
OpenAIAnthropic ClaudeGoogle Gemini & GemmaQwenLlamaAWS Bedrock
Local AIOpen models tested on our own NVIDIA DGX Spark, ready to run on your servers.
NVIDIA DGX SparkOllamavLLMOn-premise deployment
VoiceSpoken conversations with an assistant, in the app, on the web or over the phone.
Realtime voiceOn-device speech recognitionLiveKitPhone lines via SIP
Vision & documentsTurn photos, receipts and forms into structured data.
Image analysisOCRPDF, Word & Excel parsing
EngineeringThe code around the model that makes it a product.
PythonTypeScriptRustLangGraphFastAPI
QualityAnswers are tested before launch and traced afterwards.
Evaluation suitesLangfuseOpenTelemetry

Our engineers work across TypeScript, Python, C# / .NET, Rust, Swift and Kotlin, so we can build in the stack your team already uses.

Hosting
In your own cloud account or hosted by us, whichever you prefer.
Code ownership
Depends on the project: custom builds can be handed over; our own platforms are licensed.
Support
A warranty on newly built apps, then monthly or yearly support packages, or help on demand.
Languages
English and Arabic, with full right-to-left layouts.

AI Products: common questions

Yes. We build AI products that understand and answer in Arabic and English.

We design around your privacy requirements: what the AI can see, where it is processed and who can access the results. Where needed, sensitive data can stay on infrastructure you control.

We design assistants to cite their sources and to decline when the material does not support an answer, and we test answer quality before and after launch.

Not always. If a simpler, cheaper approach solves the problem better, we will tell you.

Let’s build something that thinks

Tell us what you’re working on. We’ll turn it into a clear technical plan and a practical next step.