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AI development in Saudi Arabia
The AI development company that takes your models from idea to production.
We design, train and deploy custom AI solutions for businesses in Saudi Arabia — from machine learning development and Arabic NLP to LLM apps and AI integration into the systems you already use.
- 120+Projects delivered
- 98%Client satisfaction rate
- 6–8 wksTypical AI MVP
AI stack
- Python
- PyTorch
- TensorFlow
- Hugging Face
- OpenAI
- Anthropic Claude
- LangChain
- scikit-learn
- MLflow
- Azure AI
- AWS SageMaker
- Google Vertex AI
Quick answer
What does an AI development company do?
An AI development company builds software that learns from data — custom models, machine learning development, generative AI and LLM apps — and connects it to your business systems. NextGenSol offers AI development services in Saudi Arabia, including custom AI solutions, Arabic NLP, computer vision, AI integration and MLOps, from first prototype to production.
AI approach finder
Which kind of AI does your project need?
Pick your data and goal to see the approach, typical timeline and tech stack we'd likely recommend.
Recommended approach
RAG assistant
Typical MVP: 6–8 weeks
A retrieval-augmented generation (RAG) assistant answers questions from your documents and data, with sources, in Arabic and English.
Likely stack Get a scoped AI proposalA starting point only. We confirm the approach after reviewing your data in a free discovery call.
What we build
AI development services from model to product.
Choose a service to see what's included, who it suits and how long it typically takes.
Custom AI solutions
Custom AI solutions designed around your process and data — not a generic tool bent to fit.
- Use-case discovery and feasibility
- Data audit and preparation
- Model selection or training
- Web, mobile or API delivery
- Human-in-the-loop review
- Accuracy testing on your data
Ideal for
- Unique processes
- Proprietary data
- Competitive advantage
- Regulated industries
Machine learning development
Machine learning development for prediction, scoring, recommendation and anomaly detection on your business data.
- Forecasting and demand planning
- Churn and risk scoring
- Recommendation engines
- Anomaly and fraud detection
- Feature engineering
- Model explainability reports
Ideal for
- Retail and e-commerce
- Finance and insurance
- Logistics
- Telecom
Generative AI and LLM apps
LLM-powered assistants, copilots and RAG apps that work with your private knowledge in Arabic and English.
- RAG on your documents
- Internal copilots and assistants
- Fine-tuning where it helps
- Prompt and evaluation pipelines
- Guardrails and content filters
- Choice of OpenAI, Claude or open models
Ideal for
- Customer support
- Legal and HR teams
- Knowledge-heavy companies
- Sales teams
Computer vision development
Vision models that read, count, inspect and detect — from document OCR to quality control on the line.
- Arabic and English OCR
- Object detection and counting
- Defect and quality inspection
- Face blurring and privacy
- Video analytics
- Edge and camera deployment
Ideal for
- Manufacturing
- Retail stores
- Construction
- Security
AI integration services
AI integration that plugs models and LLMs into your ERP, CRM, website, mobile app or WhatsApp — securely and reliably.
- API design and gateways
- ERP and CRM connectors
- WhatsApp and chat channels
- Single sign-on and roles
- Logging and audit trails
- Fallbacks and rate limiting
Ideal for
- Existing software
- SAP, Odoo, Dynamics users
- Customer-facing apps
- Ops teams
MLOps, monitoring & support
Keep models accurate after launch with monitoring, retraining and clear ownership.
- CI/CD for models
- Drift and quality monitoring
- Scheduled retraining
- Cost and latency tracking
- Model versioning and rollback
- Monthly performance reports
Ideal for
- Models in production
- Growing data volumes
- Compliance needs
- Internal AI teams
AI integration
AI that works inside the tools you already use.
Your model becomes a secure service that connects to every system, so teams get AI where they already work.
- ERPSAP, Odoo, Dynamics
- CRMSalesforce, HubSpot, Zoho
- Data & BIWarehouses and dashboards
Your AI modelSecure · monitored API
- Website & storeSearch, chat and recommendations
- Mobile appsiOS and Android features
- WhatsApp & chatCustomer and staff assistants
Connected throughREST APIsWebhooksEvent streamsBatch jobsSDKs
Engineered for production
AI that's accurate, secure and ready to scale.
Arabic-first NLP
Models and prompts tested on Arabic dialects and mixed Arabic–English text.
Measured accuracy
Clear evaluation on your own test data before anything goes live.
Private by design
Your data stays in your cloud or approved regions, never used to train public models.
Human in the loop
Review steps for low-confidence results and sensitive decisions.
Model-agnostic
OpenAI, Claude, open-source or custom — we pick what fits cost and accuracy.
Fast and efficient
Optimised inference and caching to keep latency and cloud costs low.
Guardrails
Content filters, prompt-injection defences and audit logs.
You own it
Code, models and documentation handed over to your team.
How we work
From idea to production AI in five steps.
As an AI development company we start small, prove value fast and scale what works.
-
01
Week 1
Discovery & data audit
We define the use case, success metrics and check whether your data is ready.
-
02
Weeks 1–2
Proof of concept
A quick prototype on real data to prove the approach before bigger investment.
-
03
Weeks 2–6
Build & train
Model training or LLM pipeline, APIs and user interface, with demos every sprint.
-
04
Weeks 6–8
Test & integrate
Accuracy, security and load testing, then AI integration with your systems.
-
05
Ongoing
Launch & improve
Monitoring, retraining and new features as usage and data grow.
Engagement options
AI development services for every stage.
Every project is quoted after a free discovery call — clear scope, milestones and no hidden fees.
AI Proof of Concept
Validate an idea with custom AI solutions on your data.
- Use-case and data assessment
- Working prototype
- Accuracy report
- Cost and roadmap estimate
- 2–3 weeks
Most popular
AI Product MVP
Production-ready AI development services for one use case.
- Everything in Proof of Concept
- Trained model or LLM pipeline
- API and user interface
- AI integration with one system
- Security and load testing
- 6–8 weeks
Enterprise AI
Multiple models, machine learning development and MLOps at scale.
- Everything in AI Product MVP
- Several use cases and models
- MLOps, monitoring and retraining
- Private cloud or on-premise
- Governance and audit trails
- Dedicated AI team
Responsible AI
Secure, compliant and explainable.
We build AI in line with Saudi data and AI guidelines and your own security policies.
PDPL-aligned data handling
Personal data is minimised, protected and processed with the right consent and controls.
SDAIA AI Ethics Principles
Fairness, transparency and accountability considered from design to deployment.
NCA-aware security
Access control, encryption and logging aligned with National Cybersecurity Authority controls.
FAQ
Ask a question AI development questions, answered.
Can't find your answer? Talk to our AI engineers.
01What does an AI development company do?
An AI development company designs, builds and deploys AI software — custom models, machine learning development, generative AI apps and AI integration — and supports it after launch so it stays accurate and secure.
02How much do AI development services cost?
Cost depends on the use case, data readiness, model type, integrations and security needs. A proof of concept costs far less than an enterprise platform. We send a fixed-scope quote after a free discovery call.
03How long does it take to build a custom AI solution?
A proof of concept usually takes 2–3 weeks and a production-ready MVP 6–8 weeks. Computer vision or multi-model projects can take longer.
04What is the difference between AI solutions and AI development?
AI solutions are ready-made tools such as chatbots and automation set up for your business. AI development builds custom AI solutions — your own models, LLM apps and integrations — when off-the-shelf tools aren't enough.
05Do I need a lot of data for machine learning development?
Not always. Some problems need thousands of labelled examples, while LLM and RAG projects can start with your existing documents. Our data audit tells you what's possible with what you have.
06Can you add AI to our existing ERP, CRM or app?
Yes. Our AI integration services connect models and LLMs to SAP, Odoo, Dynamics, Salesforce, websites, mobile apps and WhatsApp through secure APIs, without rebuilding your systems.
07Do your AI models work in Arabic?
Yes. We build and test with Arabic and mixed Arabic–English data, including Saudi dialect text and Arabic documents, so results are reliable for local users.
08Who owns the AI model and code?
You do. We hand over source code, trained models, documentation and access, and your data is never used to train public models.
Ready to build AI that delivers real results?
Tell us about your idea and data. We'll recommend the right AI development services and send a clear, fixed-scope proposal.