We're building the first large language model built from the ground up for the Qazaq language — honoring its richness, nuance, and 18 million speakers.
As featured in
Qazaq — in Arabic script, the historical writing of the steppe
The world's LLMs treat Qazaq as an afterthought — imprecise translations, lost idioms, erased context. We're changing that by building AI that understands Qazaq the way its speakers do: deeply, warmly, and with pride.
Powerful AI built around the grammar, script, and soul of Qazaq.
Write, summarize, and create in fluent Qazaq — not translation-grade, but native quality with proper grammar and idioms.
Seamlessly handles Cyrillic, Latin, and Arabic scripts — switching intelligently between all three writing systems.
Trained on Qazaq literature, history, proverbs, and oral tradition — understanding context no general model can match.
Fluent code-switching between Qazaq and Russian — reflecting how Qazaq speakers actually communicate today.
Deep integration with Kazakhstan-specific knowledge: geography, law, government, education, and everyday life.
Clean, powerful API for developers to build Qazaq-language apps — from chatbots to document processing tools.
Transparent progress, built in public.
Assembled the core team, sourced 50B+ tokens of Qazaq-language text across all three scripts, and established our cultural advisory board.
Pre-trained our first 7B parameter model, outperforming all existing multilingual LLMs on Qazaq benchmarks by a significant margin.
Instruction fine-tuning, RLHF alignment, and onboarding our first 50 private beta partners across government, education, and media.
Open developer API with SDKs for Python, JS, and mobile — enabling any team to build Qazaq-language products.
Next-generation 70B model with voice, image, and document understanding — the most capable Qazaq AI ever built.
Start free. Scale as you grow. No surprise bills.
For individuals and students
For developers and small teams
For organizations at scale
Former NLP researcher. Passionate about language preservation and AI for underrepresented communities.
PhD in computational linguistics. Specializes in low-resource language modeling and transfer learning.
Full-stack ML engineer with experience scaling language models at major research labs.
Linguist and cultural historian ensuring our training data reflects authentic Qazaq voice and tradition.
We're opening early access to researchers, developers, and organizations who want to build with Qazaq AI. Join the waitlist and we'll reach out personally.
No spam. Just meaningful updates on our progress.
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