FUSED
Meaning in continuity.
Semantic context carried through the model’s conditioning vectors.
TURKISH-NATIVE. CORE-FIRST.
We build language models from the inside out. A Turkish-native foundation, a modular architecture, and a research journey you can follow.
Semantic continuity, carried through the core.
01 / OUR APPROACH
TanAI explores how meaning, emotion and time can become part of a model’s internal representations. The Condition Stack brings these dimensions into the Generative Adaptive Transformer.
FUSED
Semantic context carried through the model’s conditioning vectors.
ECV
Emotional Conditioning Vectors that represent the nuances of an input.
CHRONOS
Temporal projections for relationships between events and their timing.
02 / THE FOUNDATION MODEL
Built from scratch. Trained for Turkish. Our fourth research revision brings a 3-billion-parameter model to an 8×H100 training cluster.
Meet the model ↗Training in progress · Project status, September 2026
03 / FROM THE LAB
04 / RESEARCH IN MOTION
TanAI Lab has been accepted into NVIDIA Inception, joining a global programme that supports AI startups with technical resources, training and ecosystem opportunities.
Read UpdateTanAI’s 3B Generative-Adaptive Transformer pre-training project has been awarded 5,000 GPU hours on MareNostrum 5 ACC through the EuroHPC AI Factory Playground programme.
Read UpdateTanAI has passed the initial evaluation stage of Teknopark İstanbul’s HASAT2026 programme and will present its technology and product direction during the next evaluation phase in October.
Read Update05 / A TRACEABLE JOURNEY
From the first Prompt Fusion experiments to the current training run. Explore the decisions, milestones and work still ahead.