AI Solutions: Websites, Apps & Automation Built by a Marketing Agency
Benanetwork builds AI solutions end to end — AI-powered websites, mobile apps, chatbots, RAG assistants, and marketing automation — on a production stack of GPT-5, Gemini, Claude, LangChain, React/Next.js, Supabase, BigQuery, and n8n. We are a marketing agency first, so every system we ship is measured by revenue, ROAS, and cost per outcome.
A Marketing Agency That Actually Ships Software
Most AI vendors build software without understanding acquisition. Most agencies talk about AI without building anything. We do both: 10+ years running performance marketing across MENA, plus an in-house engineering practice that ships production AI systems. That combination means your AI website, app, or automation is designed around the funnel it has to feed — tracking, CRM, ads, and reporting connected from day one.
What We Build
AI-Powered Websites
Fast, SEO-first React/Next.js sites with AI search, personalization, and content generation baked in.
Mobile & Web Apps
React Native, Expo, and Flutter apps with AI features — recommendations, assistants, and smart onboarding.
Custom GPTs & AI Assistants
Branded assistants trained on your catalog, documents, and tone of voice, in Arabic and English.
RAG & Knowledge Systems
Retrieval-augmented pipelines over your own data using pgvector, Pinecone, and LlamaIndex.
Marketing & Ops Automation
n8n, Make, and Zapier workflows wiring CRM, WhatsApp, ads, invoicing, and internal tools together.
Data & Predictive Analytics
GA4 + BigQuery ML pipelines for LTV, churn, lead scoring, and budget forecasting.
Start a Quick Conversation
Talk directly to the team that would build it — no forms, no gatekeepers.
Our Technology Stack
No black boxes. You own the repositories, the cloud accounts, and the data — we hand over documentation and training on delivery.
AI Models & APIs
- OpenAI GPT-5
- Google Gemini
- Anthropic Claude
- Llama
- Mistral
- Whisper
- ElevenLabs
AI Engineering
- LangChain
- LlamaIndex
- RAG pipelines
- Vector search (pgvector, Pinecone)
- Embeddings
- Function calling
- Fine-tuning
- Evals & guardrails
Web
- React
- Next.js
- TypeScript
- Tailwind CSS
- Vite
- Astro
- Node.js
- Headless CMS
- Shopify
- WordPress
Mobile & Apps
- React Native
- Expo
- Flutter
- PWA
- Firebase
- App Store & Play Console
- Push & deep linking
Cloud & Data
- Google Cloud / Vertex AI
- AWS
- Supabase
- PostgreSQL
- BigQuery
- BigQuery ML
- Cloud Run
- Edge Functions
Automation & Integration
- n8n
- Zapier
- Make
- REST & GraphQL APIs
- Webhooks
- WhatsApp Business API
- HubSpot
- Salesforce
- Zoho
Marketing & Analytics
- GA4
- Google Tag Manager
- Server-side tagging
- Google Ads API
- Meta Conversions API
- Looker Studio
- Brevo
- Search Console
SEO & GEO
- Schema.org / JSON-LD
- Core Web Vitals
- SSR & prerendering
- llms.txt
- Entity optimization
- Screaming Frog
- Semrush
- Ahrefs
What You Actually Get
- A working system in production, not a slide deck or a pilot that never launches.
- Full ownership: your GitHub, your Google Cloud or Supabase project, your API keys.
- Bilingual delivery — Arabic and English interfaces, content, and prompts.
- Measurement wired in from day one: GA4, server-side tagging, and Looker Studio dashboards.
- A named team you can reach directly on WhatsApp or email, not a ticket queue.
How We Deliver
Discovery & Use-Case Mapping
We rank candidate AI use cases by ROI and feasibility, then pick the two or three worth building first.
Architecture & Prototype
Stack selection, data model, and a working prototype within 2–3 weeks so you can judge real output.
Build & Integrate
Production build, integrations with your CRM and ad platforms, evals and guardrails before launch.
Launch, Measure, Iterate
Dashboards, monitoring, prompt tuning, and monthly reviews so performance compounds.
AI Solutions — Frequently Asked Questions
What are AI solutions for a business?+
AI solutions are production systems that use machine learning or large language models to do real work: answering customers, generating content, scoring leads, forecasting demand, or automating manual operations. The useful definition is practical — a solution is only an AI solution if it runs in production and changes a business metric.
Do you build the website and the AI, or just one?+
Both. We build the site or app itself (React, Next.js, React Native, Flutter) and the AI layer on top (GPT-5, Gemini, Claude, RAG, embeddings). Delivering both means the AI is designed into the product rather than bolted on afterwards.
Which AI models do you use?+
We are model-agnostic and pick per use case: OpenAI GPT-5 for reasoning and tool use, Google Gemini for long context and multimodal work, Anthropic Claude for long-form writing and analysis, and open models such as Llama or Mistral when cost or data residency matters.
How long does an AI project take?+
A focused build — chatbot, automation workflow, or landing experience — typically ships in 2–4 weeks. A full AI-powered website is usually 4–8 weeks, and a mobile app 8–14 weeks depending on scope and integrations.
How much does an AI solution cost in Dubai?+
Project builds typically start around USD 3,500 for a scoped automation or assistant, with websites and apps quoted on scope. Ongoing retainers that combine engineering and performance marketing usually start at USD 2,500–5,000 per month.
Who owns the code and data?+
You do. Repositories, cloud projects, model API keys, and datasets are created in your name or transferred at handover, along with documentation and a training session for your team.
Can you work in Arabic?+
Yes, natively. Interfaces, prompts, evaluation sets, and generated content are all delivered in Arabic and English, including Gulf and Egyptian dialect tuning where the audience needs it.
Do you integrate with our existing CRM and ad accounts?+
Yes. We commonly integrate HubSpot, Salesforce, Zoho, WhatsApp Business API, Google Ads API, and Meta Conversions API, plus custom REST and GraphQL endpoints.
Tell Us What You Want to Build
Send a one-paragraph description of your idea. We reply within one business day with a feasible scope, a stack recommendation, and a price range.
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Reviewed by: Amr Atef · Profile