The data development platform for LLM users and builders.
Building LLMs for Large Enterprises.
Most data requires domain knowledge that can be hard to source and curate, and publicly available benchmarks are contaminated or too general to be useful to actual product builders. Sepal AI is the data development platform that enables people to build useful datasets. We bring data generation tooling, synthetic data augmentation, rigorous quality control, and a network of over 20k PhD and industry experts into one platform so you can manage the production of high quality datasets.
Sepal AI builds Large Language Models for Enterprises through data development, finetuning, and inference. Our team comes from Turing, Vercel, McKinsey, and Bain. At Turing, we built the LLM training business and products to support over $120M revenue growth in 6 months for companies like Open AI, Google, and Anthropic. We learned that large, non-tech enterprises that we worked with, like PepsiCo, Bridgestone, and Volvo, don't have the data they need to train models to produce real value. Which means they’re not going to unlock the value from AI without a partner. We are targeting the 2400 largest non-software companies to build, continuously fine tune, and deploy their custom models.
Sepal AI changed from a platform helping users generate and curate high-quality datasets (data tooling and management) to building and delivering LLMs directly to large enterprise clients. This represents a significant shift from enabling data generation to becoming an enterprise LLM provider, although with some connection in the focus on data quality for ML.