What if anyone could build a custom AI classifier in minutes, not weeks? Classifi transforms as few as five labeled examples per category into a working text or image classifier, with no model training, complex pipelines, or machine-learning expertise required. Users simply define their categories, add examples, and classify new content instantly. Every prediction includes a confidence score and a plain-English explanation, turning AI from a black box into a tool people can understand and trust. Under the hood, Classifi converts user examples into structured few-shot prompts for multimodal Gemma 3, served through Fireworks AI on AMD Instinct GPU infrastructure. This enables fast, scalable inference without requiring users to manage the underlying infrastructure. Once created, each classifier can also be exposed through a reusable REST API endpoint and integrated into real applications and workflows. From teachers assessing assignments and manufacturers detecting defects to researchers organizing data and NGOs sorting multilingual field reports, Classifi puts practical, explainable AI in the hands of the people who understand the problem best. Open-source, self-hostable, and training-free, Classifi is not merely a prototype, it is a faster, more accessible way to transform domain knowledge into specialized AI.
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