CNAPS.AI is a no code visual AI startup company founded by ex Google and NVIDIA engineers with deep visual AI expertise.
We experienced firsthand that commercial LLMs and other foundational models are costly to train and deploy for inference tasks. But there is a better way. There are hundreds of thousands of pre-trained and specialized open source models that can deliver state-of-the-art performance. Instead of asking one general-purpose model to do everything, you can pick the model that is best at each step — upscaling, background removal, image and video generation, speech — and chain them into a single workflow.
Our goal is to harness these specialized AI models that deliver better results than a single large model, at a better predictable cost plus better performance. CNAPS allows anyone to create multimodal automated workflows without writing code. Each step runs on the model built for it, so you get better quality without paying for a giant model to do small jobs. When a better model comes out, you swap one node instead of rebuilding the whole workflow.
We started with our team's expertise in image and video processing. Creating images and videos with AI is easy, but making them look great at scale is not. Businesses and teams struggle with unpredictable costs, technical complexity and inconsistent results as they grow. Cnaps Studio is our first product - a drag and drop builder for enhancing images and videos, as well as integrating text and speech, in one place. Today the same workflows also run from ready-made recipes and from your own tools through the API and MCP.
Our name CNAPS (pronounced "( c : /ˈsi/ ) ( naps : /ˈnæps/ )") is a nod to the human brain 'synapses' where neurons communicate and form neural networks.
Questions, partnerships or enterprise inquiries — send us a note and we will get back to you.