[bfeynman]

I think I've lost count of how many of these start ups I've seen. But what I really cant fathom is that pricing which is completely out of band. You can already talk to files directly with gemini, just wrapping other apis etc makes no sense. This is even stuff now you can easily codegen entire solutions for esp object storage based ones. Don't see actual any value add or differentiators here. It's obviously not that secure, and ingestion pipeline/connectors are also commodity.

[CMLewis]

You're right that you can chat with files using Gemini or a codegen'd RAG pipeline, and that does work well for a lot of teams.

The problem that Captain really addresses comes when production pipelines need to run continuously over large file corpora with fast, incremental indexing, and reliable latency. The maintenance required in these situations is often quite significant.

Captain focuses specifically on making sure the retrieval layer can operate smoothly so folks don't have to scale & maintain the infrastructure themselves.

[edmundsauto]

For use cases where the increased value ~= 20%, the cost of the distraction with that low of a margin is a hard sell. (Just based on your intro, that was my read)

No disputation of the core idea, I think you are on the right track, but the pitch isn't compelling. People looking for these kinds of AI solutions tend to favor simplicity and ~80% is fine, because the overall perceived productivity improvement is 5-10x, with such wide error bars that the approximate gain is just not worth maximizing for right now.

You might be a few months-years early, or target people who have maxxed out because they cannot retrieve from their second brain effectively. Most folks I've talked to are just trying to keep up, optimization/efficiency is not on their radar.