We are a team that seeks to connect our people's past with the world's future.

At Navid, we build Arabic-first and multilingual GenAI solutions across domains, laser-focused on delivering real value for people and organizations.

What We Do

• Data pipelines & governance — automated collection, filtering, and curation
• Synthetic data & augmentation — domain-balanced recipes for Arabic tasks
• Training & fine-tuning — SFT, DPO, PPO, RLHF/RLAIF
• Custom LLMs & evals — Arabic/multilingual models with robust evaluation
• Advanced RAG — secure retrievers, re-rankers, hybrid search & guardrails
• Agentic workflows — LangGraph/LangChain multi-agent apps with memory/tools
• Deployment — on-prem, VPC, or managed GPU with full observability

Highlights

We contribute to the Arabic AI ecosystem with:

• No.1 Arabic model - one of the top models for its size trained by Navid.
• First Arabic RAG Leaderboard — open-sourced for the community
• RAG made for Arabic — 1st RAG made for Arabic and English retrieval