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Growara AI automation + Alcedo AI tutoring — production AI, not demos

AI Development Company in Abu Dhabi — Custom Chatbots, ML Models & Intelligent Automation

Build production AI for Abu Dhabi — AI chatbots, recommendation engines, computer vision, document processing, and workflow automation. We ship AI products that run 24/7 in production (Growara AI WhatsApp automation, Alcedo AI tutoring, Legal Owl AI legal advisor), not demo notebooks. AED 47,000-281,000+.

5+

AI products in production

OpenAI

LangChain, TensorFlow

AED 47k

AI MVP floor

24/7

Production AI running

Cricket Winner — live cricket platform built for Dubai's WinnerMedia Sports
Trusted by Dubai-based clients
WinnerMedia Sports·4+ years in production·Millions of GCC users served·DUNS-verified Apple + Google publishing·Free-zone-friendly contracts

How Abu Dhabi businesses benefit from production AI — not just ChatGPT wrappers

Abu Dhabi's AI ecosystem — anchored by the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Technology Innovation Institute (TII), and ADNOC's AI-driven energy operations — is creating demand for production AI products across every sector. But most Dubai/Abu Dhabi 'AI agencies' sell ChatGPT wrappers repackaged as custom AI. Production AI is different: it handles edge cases, scales under load, integrates with your existing systems, and runs reliably 24/7 without human babysitting.

Xenotix Labs ships production AI. Growara is our AI WhatsApp automation product — it handles customer queries 24/7 with intelligent human-escalation logic, running in production for SMBs across the UAE and India. Alcedo is an AI tutoring platform with adaptive learning paths. Legal Owl uses AI for legal case analysis across 7 user personas. These are not demos — they are products running in production, handling real user queries, with real uptime requirements.

Our AI stack: OpenAI GPT-4 / GPT-4o for language understanding and generation (best-in-class for Arabic + English bilingual), LangChain for RAG (Retrieval-Augmented Generation) pipelines, TensorFlow / PyTorch for custom ML models (recommendation engines, anomaly detection, time-series forecasting), Pinecone / Weaviate for vector databases, AWS SageMaker or self-hosted inference on GPU instances. We integrate AI into existing products (add AI features to your app) or build AI-first products (AI is the core value proposition).

X

Written by Xenotix Labs Engineering

Founding Engineering Team — India HQ, UAE delivery

Xenotix Labs is a startup-first software development company headquartered in India. Our engineering team has shipped 33+ production startup products globally — including Cricket Winner (cricketwinner.com), the live cricket platform built for UAE-based WinnerMedia Sports that today serves millions of cricket fans across UAE, India, and the GCC.

Anchor UAE case study

Cricket Winner logo

Cricket Winner — Dubai-built live cricket platform serving millions across the GCC

Built for WinnerMedia Sports (Dubai, UAE) · Live since 2022

Visit cricketwinner.comRead full case study

The challenge

Build a live cricket platform for Dubai-based WinnerMedia Sports — sub-second ball-by-ball score updates during live IPL and T20 World Cup matches, breaking cricket news with editorial workflow, fantasy tips, expert match predictions, an opinion-trading engine where cricket fans place views on match outcomes, and a sponsored leaderboard contest engine. The platform had to scale from launch traffic to live IPL-class match traffic without architectural rewrites, support both light and dark mode for users browsing during day and night cricket matches, ship multilingual capability with English-first content, and hit Lighthouse 90+ on the mobile devices common across the UAE and GCC — heterogeneous Android and iOS hardware spanning premium iPhones in Abu Dhabi, mid-range Samsungs in Sharjah, and budget Android in the wider expat market.

Stack

Flutter mobile (iOS + Android from a single Dart codebase, Riverpod state management, Hermes-tuned cold start, native platform channels for biometric auth and payments), Next.js 14 web with App Router and React Server Components for SEO-indexed match-prediction articles, Node.js backend with MongoDB optimised for high-volume cricket event metadata (deliberately Mongo over Postgres because match events are document-shaped — match info, ball-by-ball deliveries, news articles, expert predictions, leaderboard rankings all benefit from flexible schema), WebSockets for sub-second ball-by-ball score sync during live matches, Kafka for high-throughput trading and news event streams that need replayable ingestion when traffic spikes 100× during popular matches, AWS infrastructure with primary in ap-south-1 (Mumbai) for cost-effectiveness and CloudFront edge nodes in Dubai (DXB) and Riyadh for sub-50ms latency to GCC end users, Figma → production design system shipping dark + light mode in lockstep, internal CMS for the editorial team to publish 10+ articles per day, and a sponsored gifts / contest engine integrated with WhatsApp Business API for fan engagement.

Outcome

Live in production for over 4 years. Has scaled through IPL 2023, IPL 2024, IPL 2025, and is currently sustaining live IPL 2026 + T20 World Cup 2026 traffic with sub-second score sync latency on every ball. Active editorial team publishes 10+ articles per day across match predictions, fantasy tips, cricket news, player analysis, and stats deep-dives. Active leaderboard with hundreds of expert participants per month, ranked by accuracy on match and toss predictions. Sponsored advertising and contest engine running 24/7 with brand integrations from major UAE retailers. Bilingual capability (English-first with Arabic support roadmap). Dark mode and light mode both shipping at production parity. iOS, Android, and Web — all from one engineering team. The same Xenotix engineering team that shipped the original product in 2022 is the same team operating it today in 2026 — a 4-year continuity record with zero architecture rewrites despite traffic scaling roughly 100× from launch to current peak IPL match concurrency.

Key signals

  • Millions of cricket fans served across Dubai, the UAE, India, and the wider GCC
  • Sub-second score sync latency on every ball during live IPL 2026 matches
  • 4+ years continuously in production with zero architecture rewrites
  • Currently active during IPL 2026 and T20 World Cup 2026
  • 10+ original editorial articles published every day
  • Hundreds of monthly leaderboard participants competing on prediction accuracy
  • Bilingual capability (English-first), production dark + light mode
  • iOS + Android + Web all delivered by one Xenotix engineering team
  • Sponsored gifts / contest engine with major UAE retailer integrations
  • 100× traffic scale from launch baseline to current peak match concurrency

Cricket Winner — In production right now

What we built for Dubai's WinnerMedia Sports

These are screenshots of the live Cricket Winner platform serving millions of fans during IPL 2026 and T20 World Cup 2026. Visit cricketwinner.com and you are using Xenotix engineering output right now.

Cricket Winner homepage — light mode — showing live IPL 2026 scores, news headlines, and the daily prediction contest

Homepage — Light mode

Live IPL 2026 scores, breaking news, daily prediction contest, leaderboard rankings

Cricket Winner homepage — dark mode — same product with full dark-mode token system

Homepage — Dark mode

Same product with a full dark-mode token system — both shipping at production parity

Cricket Winner live scorecard — Bangladesh W vs Sri Lanka W T20I — sub-second WebSocket score sync

Live scorecard

Sub-second ball-by-ball score sync via WebSockets — running through every IPL since 2023

Cricket Winner match prediction article — full editorial CMS rendering with related links

Match prediction articles

Editorial CMS publishing 10+ articles daily — Next.js SSR for perfect SEO indexability

Cricket Winner cricket news listing with monthly expert ranking leaderboard

News + Expert leaderboard

Cricket analysis articles + monthly expert prediction leaderboard with hundreds of participants

Sub-services

What we ship inside ai development company in abu dhabi — custom chatbots, ml models & intelligent automation

Real engagements, real case studies — not a feature list. Each sub-service is one we have shipped to production.

AI Chatbot / Conversational AI

Production chatbots with RAG, context memory, multi-turn conversations, human escalation. WhatsApp, web widget, in-app.

Use cases: Customer support automation, sales qualification, FAQ bots, internal knowledge bots

Shipped on: Growara AI WhatsApp automation — production 24/7

Recommendation Engine

Personalised recommendations for products, content, services. Collaborative filtering, content-based, hybrid approaches.

Use cases: E-commerce recommendations, content feeds, service matching

Shipped on: Cricket Winner content recommendations for match predictions and news

Document Processing / OCR

Automated document extraction, classification, and processing. Invoice processing, contract analysis, form digitisation.

Use cases: Legal document analysis, invoice processing, form automation

Shipped on: Legal Owl AI document analysis + ClaimsMitra document verification

Computer Vision

Image classification, object detection, quality inspection, visual search. Custom models on TensorFlow/PyTorch.

Use cases: Quality inspection, visual search, medical imaging, retail analytics

Shipped on: AI/ML pipeline architecture across multiple products

AI-First Product Development

Build products where AI is the core value proposition — AI tutoring, AI writing, AI analytics, AI scheduling.

Use cases: AI startups, AI-enhanced SaaS, intelligent automation

Shipped on: Alcedo AI tutoring, Legal Owl AI legal advisor

Tech stack reasoning

Why production AI requires more than model selection

Selecting an AI model (GPT-4, Claude, Llama) is 10% of production AI. The other 90%: prompt engineering and guardrails (preventing hallucination, off-topic responses, harmful outputs), RAG pipeline design (what documents to index, chunking strategy, retrieval accuracy), latency optimisation (sub-2-second response for conversational AI), cost management (token usage monitoring, model routing for cost/quality tradeoff), monitoring and evaluation (automated quality scoring, drift detection, A/B testing), and fallback/escalation logic (when AI confidence is low, route to human).

For Abu Dhabi deployments: Arabic + English bilingual AI requires models with strong Arabic capability (GPT-4 and Claude perform well; open-source Arabic models are improving but not production-ready for most use cases). Data residency for ADGM-regulated AI applications requires inference to run on UAE/GCC-region infrastructure — we deploy on AWS Bahrain with SageMaker endpoints for regulated engagements.

Pricing & timeline

How much does ai development company in abu dhabi — custom chatbots, ml models & intelligent automation cost?

Published tiers, not opaque quotes. Every range below is one we have shipped engagements at.

AI Feature Add-On

AED 23,000 – 47,000

$6,300 – $12,800

Timeline4-8 weeks
Team1 AI engineer + 1 backend
ScopeAdd AI chatbot or recommendation engine to existing product. API integration, prompt engineering, guardrails.
Best forAdding AI features to existing apps, chatbot add-ons

AI MVP Product

AED 47,000 – 117,000

$12,800 – $32,000

Timeline3-5 months
TeamFull pod (4-5) including AI specialist
ScopeAI-first product with core AI feature, user interface, admin dashboard, production deployment.
Best forAI startups, AI-enhanced SaaS MVPs

Enterprise AI System

AED 117,000 – 281,000+

$32,000 – $76,500+

Timeline5-9 months
TeamFull pod (5-6) + AI specialist
ScopeCustom ML models, RAG with enterprise knowledge base, multi-model routing, monitoring, compliance.
Best forEnterprise AI automation, regulated AI, production ML systems

Pricing varies with scope, integrations, and compliance needs. Every engagement starts with a fixed-scope written estimate after a 2-week paid discovery — never an open hourly meter.

UAE free-zone landscape

Free-zone-friendly contracts across the UAE

We contract with UAE entities across all major free zones. Templates pre-vetted for compliance.

ADGM (Abu Dhabi Global Market)

Abu Dhabi (Al Maryah Island)

Independent jurisdiction with English common law, like DIFC. ADGM-regulated. Best for Abu Dhabi-anchored fintech, healthtech (Department of Health Abu Dhabi), and government-tech engagements.

Typical clients we serve here

Abu Dhabi-anchored fintechs, GovTech contractors, healthtech startups

DMCC (Dubai Multi Commodities Centre)

Dubai (Jumeirah Lakes Towers)

100% foreign ownership, 0% corporate tax (until 2024 — now 9% above AED 375k profit), best for trading, commodities, crypto-licensed businesses, and tech companies serving GCC and Africa.

Typical clients we serve here

Crypto exchanges, commodity trading SaaS, GCC-focused tech startups

Real case studies

Production case studies — not deck pages

Each ai development company in abu dhabi — custom chatbots, ml models & intelligent automation engagement below is live, in production, and serving real users today.

Cricket Winner — Dubai-built live cricket platform serving millions across the GCC

Problem

Build a live cricket platform for Dubai-based WinnerMedia Sports — sub-second ball-by-ball score updates during live IPL and T20 World Cup matches, breaking cricket news with editorial workflow, fantasy tips, expert match predictions, an opinion-trading engine where cricket fans place views on match outcomes, and a sponsored leaderboard contest engine. The platform had to scale from launch traffic to live IPL-class match traffic without architectural rewrites, support both light and dark mode for users browsing during day and night cricket matches, ship multilingual capability with English-first content, and hit Lighthouse 90+ on the mobile devices common across the UAE and GCC — heterogeneous Android and iOS hardware spanning premium iPhones in Abu Dhabi, mid-range Samsungs in Sharjah, and budget Android in the wider expat market.

Stack

Flutter mobile (iOS + Android from a single Dart codebase, Riverpod state management, Hermes-tuned cold start, native platform channels for biometric auth and payments), Next.js 14 web with App Router and React Server Components for SEO-indexed match-prediction articles, Node.js backend with MongoDB optimised for high-volume cricket event metadata (deliberately Mongo over Postgres because match events are document-shaped — match info, ball-by-ball deliveries, news articles, expert predictions, leaderboard rankings all benefit from flexible schema), WebSockets for sub-second ball-by-ball score sync during live matches, Kafka for high-throughput trading and news event streams that need replayable ingestion when traffic spikes 100× during popular matches, AWS infrastructure with primary in ap-south-1 (Mumbai) for cost-effectiveness and CloudFront edge nodes in Dubai (DXB) and Riyadh for sub-50ms latency to GCC end users, Figma → production design system shipping dark + light mode in lockstep, internal CMS for the editorial team to publish 10+ articles per day, and a sponsored gifts / contest engine integrated with WhatsApp Business API for fan engagement.

Outcome

Live in production for over 4 years. Has scaled through IPL 2023, IPL 2024, IPL 2025, and is currently sustaining live IPL 2026 + T20 World Cup 2026 traffic with sub-second score sync latency on every ball. Active editorial team publishes 10+ articles per day across match predictions, fantasy tips, cricket news, player analysis, and stats deep-dives. Active leaderboard with hundreds of expert participants per month, ranked by accuracy on match and toss predictions. Sponsored advertising and contest engine running 24/7 with brand integrations from major UAE retailers. Bilingual capability (English-first with Arabic support roadmap). Dark mode and light mode both shipping at production parity. iOS, Android, and Web — all from one engineering team. The same Xenotix engineering team that shipped the original product in 2022 is the same team operating it today in 2026 — a 4-year continuity record with zero architecture rewrites despite traffic scaling roughly 100× from launch to current peak IPL match concurrency.

Read case study

Growara — AI WhatsApp automation running 24/7

Problem

AI-powered WhatsApp bot for SMB customer support. Handles queries autonomously with intelligent human-escalation when confidence is low.

Stack

Node.js, OpenAI, WhatsApp Business API, LangChain

Outcome

Live 24/7 AI automation handling real customer queries.

Alcedo — AI tutoring with adaptive learning

Problem

AI-powered tutoring platform with adaptive learning paths, student progress tracking, and AI-generated practice materials.

Stack

Flutter, Next.js, Node.js, OpenAI, TensorFlow

Outcome

Live AI tutoring platform with adaptive learning.

Why founders pick Xenotix

Why Xenotix Labs for ai development company in abu dhabi — custom chatbots, ml models & intelligent automation

5+ AI products in production

Growara, Alcedo, Legal Owl, Cricket Winner AI — production AI, not demos.

Arabic + English bilingual AI

GPT-4 with Arabic prompting, bilingual RAG pipelines, RTL UI.

Production AI, not consulting

We ship AI products that run 24/7 — not PowerPoint decks about AI strategy.

AWS Middle East for ADGM compliance

AI inference on GCC-region infrastructure for regulated applications.

AI integrated with full-stack

AI features embedded in Flutter mobile + Next.js web — not standalone notebooks.

FAQ

Questions UAE founders ask in scoping calls

How much does AI development cost in Abu Dhabi?

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AI feature add-on: AED 23,000-47,000. AI MVP product: AED 47,000-117,000. Enterprise AI system: AED 117,000-281,000+. Pricing depends on model complexity, training data, and integration requirements.

Can you build AI with Arabic language support?

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Yes — GPT-4 and Claude have strong Arabic capability. Our prompting and RAG pipelines handle bilingual Arabic + English. Custom fine-tuning available for domain-specific Arabic when needed.

Do you use open-source or proprietary AI models?

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Both — OpenAI GPT-4 for best-in-class language tasks, open-source models (Llama, Mistral) for cost-sensitive or on-premise deployments, TensorFlow/PyTorch for custom ML. We pick the right model for your use case and budget.

Can AI run on UAE-region infrastructure?

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Yes — AWS Middle East (Bahrain) with SageMaker for managed ML inference. Required for ADGM-regulated applications with data residency requirements.

Ready to ship your UAE product?

Same engineering team that has run Cricket Winner for 4+ years. AED-first pricing. Free-zone-friendly contracts. Book a 30-minute scoping call.

Book a UAE Scoping Call
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