Three years back, as companies rushed to test ChatGPT in their operations, Tony Falco was puzzling over something else: where do AI models get their memory?

Falco runs operations at Hydrolix as COO. Through 2023, he kept seeing the same story. Companies would pick a model, run pilots, love the initial results, then discover the storage costs for training data made the whole project unworkable. Most vendors responded by adding AI features to their existing tools. Falco took Hydrolix in another direction: make it economically possible to keep years of complete log data online and ready to query.