
Founded by Jacob Bland & Jack Cameron - Two engineers who spent years building AI infra at Crusoe Cloud. They worked with teams like Together AI and Mosaic ML to accelerate the training and deployment of new models. These teams understood the critical importance of data in their pipelines and the difficulty of finding it. They noticed that AI application engineers are in the same boat, with the availability of quality data playing an overwhelming role in the performance of their products.
LLMs need quality and recent internet data to solve specific problems—that’s why RAG is so popular!
But gathering this data from the internet is hard. Orchestrating crawlers, finding the pages of interest within a site, maintaining the context from page layouts, etc., can be challenging. Updating the store as this data changes over time can be costly and time-consuming as well.
Saldor intelligently crawls sites and extracts the content.
With just a few lines of code, engineers can convert messy web data into clean, ready-to-use output, whether it's human-readable text for LLMs or structured JSON for traditional programs.
