No-code data curation for LLM fine-tuning and evaluation.
Businesses struggle to productionize LLM applications due to high costs, slow and unreliable proprietary model APIs, and difficulty curating quality data to fine-tune smaller models.
A no-code platform to curate datasets, evaluate and fine-tune open-source LLMs, and serve them as alternatives to proprietary models.
AI practitioners and teams at companies building and deploying LLM-powered products.
Hi, I am Emmanuel. I spent my foundational years in academia (particle physics research at CERN) then branched out into tech. I built the order and payment infrastructure at Instacart, and lead ML platform at Cruise. I am the CEO and co-founder of Sematic (S22). Reach out and say hello.




