The Arabic AI Tech Company
Arabic AI Technologies to solve your business problems
We build, consult, and tailor models to meet your unique needs
Who We Are
We are committed to advancing AI technologies that offer enterprises throughout the Arabian region sovereign, tailored solutions designed to meet their unique needs
Our Services
Your path to excellence
We offer the following services for Enterprise customers
Tailoring
We tailor our models to fit your specific tasks by leveraging your data, ensuring optimal performance compared to any other model on the market
Building
We build Arabic AI technologies to help you reach your goals
Consulting
We collaborate with you to identify and implement innovative AI solutions that address your challenges
Our Models
Our Benchmarks
Arabic-focused Benchmarks
The Arabic Broad Leaderboard (ABL) is a next-generation benchmarking platform that offers advanced visualizations, performance analysis, model skill breakdowns, speed comparisons, and contamination detection—enabling in-depth evaluation and selection of Arabic language models for specific tasks.
Learn More about ABL
Learn More about ABL
The Arabic TTS Benchmark serves as a foundational framework for comparing Arabic text-to-speech models. It prioritizes direct auditory assessment over standard quantitative metrics (such as WER or CER), acknowledging that current automated metrics often fail to capture the language's linguistic nuances.
Arabic TTS Benchmark
Arabic TTS Benchmark
Why SILMA AI?
Maximize efficiency and impact
Discover the key advantages of partnering with us
Competency
Our team brings over two decades of multidisciplinary expertise, honed through impactful roles in leading global organizations
Track record
Our track record of delivering robust, effective models speaks for itself — and we’re ready to apply that expertise to your unique challenges
Speed
Our expertise in model training and fine-tuning, backed by experience and reusable assets, helps companies achieve their goals efficiently
Contacts
hello@silma.ai

