Botika Labs
Advancing the frontier of image generation.
Explore our researchThe next breakthroughs in image generation will come from better foundations, not just bigger models. We’re rethinking how image models learn, condition, and generate.
Our research focuses on making image models fundamentally more capable: able to work with richer context, preserve fine-grained information, offer precise control, and do so with dramatically greater efficiency. We research these capabilities across the full model stack, from data, architecture-research, pre-training, and post-training, through to production inference.
Our research
Long-Context Image Generation
Expanding how much visual information generative models can effectively understand.
Hallucination-Resistant Generation
New architectures and training objectives that preserve fine-grained information at native resolution.
Efficient Model Architectures
Rethinking attention and model architecture to dramatically reduce training and inference compute.
Reinforcement Learning & Post-Training
Researching new reinforcement and adversarial methods to advance generative model post-training.
Blog
Read the blogComing soon
Research that leaves the lab.
We build foundation models to solve problems at the frontier, then put them to work in the real world, where capability, efficiency, and reliability actually matter.
See our research at work