Talc creates a dataset grounded in facts from your knowledge base, producing data more accurately than human labelers.
Talc specializes in producing data when traditional methods are slow, unreliable, or costly
Stop using doctors to write rows of data. Customers use Talc to generate labelled training data for entity extraction and classification in a medical context.
We reinforce brand guidelines by creating custom post-training data for every content policy. This allows brands to bring their unique voice to their customer facing models
Generalist AI perform well in simple scenarios, but our customers are using Talc to give AI specialized domain specific knowledge in niche areas of finance.
See it for yourself! We work with each customer through a defined trial period until they are happy with the data quality. If it's not up to par, you keep the data free of charge.
Synthetic data has limitations, but it's almost always possible to outperform unskilled data labelers. We've found that it also outperforms experts in many scenarios, especially in the diversity of data.
Our datasets range from hundreds of samples to hundreds of thousands, depending on customer needs.
Reach out to founders@talc.ai if you're looking for a role.