The right model beats the biggest model. Build and deploy custom AI models from a prompt in hours — with 50% higher accuracy, 10× lower cost, and 10× lower latency than general-purpose LLMs.

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Before Oumi, our CEO, Manos Koukoumidis, led the effort behind Google Cloud PaLM — coordinating 300+ contributors across 30 teams to build one of the most advanced AI systems ever made (what became Gemini). And he kept seeing the same anti-pattern: Every enterprise running AI in production was using the same massive, generic model behind a proprietary API for completely different jobs. Custom models were always the answer. But building one took months, a full ML team, and deep expertise most companies don't have. So we built Oumi. Just describe what model you need, starting with just a prompt – Oumi handles everything; evaluation, data synthesis, training, and continuous improvement. What will you build with Oumi? We'd like to hear about your custom AI use cases in the comments bellow.

In our days that energy costs are so important you don't need a model that will burn tokens meaningless. You need the tokens spent to address each enterprise's needs i.e. A token trained and fit customized for each enterprise. This is what Oumi's product accomplishes in hours - not months.

Scalify.ai — Order a website in under 10 minutes

Order a website in under 10 minutes