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Generative AI development company
The generative AI development company that builds GenAI that works
We design and ship generative AI solutions grounded in your own data: copilots, content engines, document AI and agents. From LLM application development to secure deployment, our generative AI development services take you from idea to production in weeks.
- 120+Projects delivered
- 98%Client satisfaction
- 6–8 wksTo a production LLM app
Models behind our generative AI services
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
- Azure OpenAI
- AWS Bedrock
- LangChain
- LlamaIndex
- Pinecone
- pgvector
- Hugging Face
Quick answer
What does a generative AI development company do?
A generative AI development company designs, builds and runs applications that create text, summaries, images or code using large language models (LLMs). NextGenSol provides generative AI development services in Saudi Arabia: generative AI solutions, LLM application development, retrieval-augmented generation (RAG) over your documents, copilots and assistants, content generation, document AI and AI agents — with guardrails, Arabic support and secure hosting built in.
GenAI studio
See generative AI at work
Pick a use case and press Generate. These generative AI solutions show how an LLM app finds your data, writes a grounded answer and checks it before you see it.
- Answers grounded in your own documents
- Sources shown for every claim
- Arabic and English output
- Safety checks before every reply
Write a proposal for a retail client who needs a loyalty app.
1Retrieve
2Ground
3Generate
4Check
Sources used
Scripted demo for illustration. Real apps use your own data, models and rules.
What we build
Generative AI solutions for every team
Our generative AI services cover the full journey, from first prototype to a secure app your whole company uses.
Company copilots and knowledge assistants
Assistants that answer questions from your policies, manuals, contracts and systems, with sources for every answer.
- Retrieval-augmented generation (RAG)
- Answers with citations
- Role-based access to content
- Arabic and English
- Web, Teams or Slack
- Feedback and analytics
Ideal for
- HR & operations
- Sales teams
- Customer support
LLM application development
Full LLM application development: front end, back end, prompts, retrieval, model routing, testing and monitoring in one secure product.
- Product discovery and UX
- Model selection and routing
- Prompt and retrieval design
- APIs and integrations
- Evaluation test sets
- Monitoring and cost control
Ideal for
- SaaS products
- Internal tools
- Customer apps
Content generation at scale
Generate product descriptions, marketing copy, reports and emails in your brand voice, with human review where it matters.
- Brand tone and style guides
- Arabic and English copy
- SEO-friendly output
- Bulk generation from catalogues
- Approval workflows
- Plagiarism and quality checks
Ideal for
- E-commerce
- Marketing
- Media
Document AI: read, summarise, extract
Turn PDFs, scans, contracts and invoices into structured data and clear summaries your teams can act on.
- Summaries and key-point extraction
- Arabic OCR and handwriting
- Contract risk flags
- Data into ERP or CRM
- Confidence scores
- Human review queue
Ideal for
- Legal
- Finance
- Government
AI agents that take action
Agents that plan steps and use your tools — look up orders, raise tickets, update records — with limits and approvals you control.
- Tool and API calling
- Multi-step workflows
- Approval checkpoints
- Activity logs
- Fallback to a human
- Cost and rate limits
Ideal for
- Operations
- IT service desk
- Procurement
Fine-tuning and private model hosting
When off-the-shelf models are not enough, we fine-tune open models on your data and host them in your private cloud or in-region.
- Data preparation
- Fine-tuning open models
- Private or in-region hosting
- Benchmark against APIs
- Model versioning
- Ongoing retraining
Ideal for
- Regulated sectors
- High-volume use
- Data residency needs
Solution architect
Design your GenAI architecture
Choose what your app needs. We map it to a proven architecture and suggest the right package for your generative AI development services.
Your architecture
Get a fixed quote
- Interface
- OrchestrationPrompts · routing · memory
- Knowledge (RAG)
- Model
- Governance
Suggested package
Typical timeline
A starting point only. Final architecture is agreed after discovery.
Why NextGenSol
Generative AI solutions built for real business
Grounded answers
RAG over your own data so answers are accurate and show their sources.
Arabic-first
Prompts, retrieval and tests tuned for Arabic and English users.
Guardrails built in
PII masking, topic limits and moderation on every request.
Measured quality
Evaluation test sets score accuracy before and after each release.
Model-agnostic
We pick and route between models for quality, speed and cost.
Private hosting
In-region or private cloud deployment when data must stay in KSA.
Fast delivery
A working pilot in 4–6 weeks, production in 6–8 weeks.
Run and improve
Monitoring, cost control and monthly improvements after launch.
How we work
From idea to live GenAI app
As a generative AI development company we follow a short, measurable process so you see value early.
-
01
Week 1
Discover
Use case, users, data sources, risks and success measures.
-
02
Week 2
Prototype
A clickable prototype on sample data to test the idea with real users.
-
03
Weeks 3–5
Build
LLM application development: retrieval, prompts, integrations and guardrails.
-
04
Week 6
Evaluate
Test sets, red-teaming and Arabic checks before launch.
-
05
Weeks 7–8
Launch & improve
Go-live, monitoring, user training and ongoing tuning.
Engagements
Generative AI development packages
Every project is scoped after a free call and given a clear, fixed quote.
GenAI Pilot
Prove one generative AI solution with real users.
- Discovery workshop
- One focused use case
- RAG over sample documents
- Basic guardrails
- Success measures
- Live in 4–6 weeks
Most popular
LLM Application
Full LLM application development for production.
- Everything in Pilot
- Integrations with your systems
- Arabic and English
- Evaluation test sets
- Monitoring dashboard
- Live in 6–8 weeks
Enterprise GenAI
A governed platform for many generative AI services.
- Everything in LLM Application
- Multiple use cases
- Private or in-region hosting
- SSO and role access
- AI agents and tool use
- Live in 8–10 weeks
Responsible AI
Secure, compliant and explainable
Every one of our generative AI solutions is built to protect your data and your reputation.
PDPL-aligned
Personal data is minimised, masked and stored in line with Saudi PDPL.
Guardrails & moderation
Topic limits, prompt-injection defences and output checks on every reply.
Full audit trail
Prompts, sources and answers are logged for review and continuous improvement.
FAQ
Ask a question Generative AI questions
Can't find your answer? Talk to our team.
01What do generative AI development services include?
Generative AI development services cover discovery, model selection, prompt and retrieval design, LLM application development, integrations, guardrails, evaluation, deployment and ongoing monitoring.
02Why choose a generative AI development company instead of using ChatGPT directly?
A generative AI development company connects models to your own data and systems, adds security, Arabic support and guardrails, and measures quality — so the result is a reliable business tool, not a general chat window.
03What is LLM application development?
LLM application development is building software around large language models: the interface, retrieval of your data (RAG), prompts, model routing, tool use, testing and monitoring.
04How long does it take to build a generative AI solution?
A focused pilot usually takes 4–6 weeks. A production LLM application takes 6–8 weeks, and a multi-use-case enterprise platform 8–10 weeks.
05Can generative AI work in Arabic?
Yes. We design prompts, retrieval and tests for Arabic and English, including Saudi dialect, and check output quality in both languages before launch.
06Is our data safe with generative AI services?
Yes. We use enterprise model agreements that do not train on your data, mask personal data, apply role-based access, and can host models in-region or in your private cloud. Everything is aligned with Saudi PDPL.
07Which models do you use?
We are model-agnostic and work with OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral and others, choosing for each use case by quality, speed, cost and hosting needs.
08How do you stop the AI from making things up?
We ground answers in your documents with retrieval, show sources, limit topics with guardrails, and run evaluation test sets so wrong or unsupported answers are caught before users see them.
Ready to put generative AI to work?
Tell us your idea for generative AI solutions. We'll recommend the right generative AI development services and send a clear, fixed quote.