What We're Building
Some of the best investing conversations happen in podcasts. That's where people explain what they actually believe, where conviction comes from, what might break the thesis, and which comparisons really matter.
The problem is that all of that signal disappears into audio. It is difficult to search, difficult to compare, and almost impossible to use inside software or research workflows at scale.
Gemhog exists to change that. We're turning expert podcast conversations into structured investment intelligence that can be searched, traced, and built on — not just listened to.
Why Podcasts?
Because podcasts capture the unscripted version of an investment thesis. Not the polished summary. Not the cleaned-up quote. The actual reasoning.
We're building Gemhog so that this kind of expert intelligence does not stay locked inside long-form media. Instead, it becomes something teams and products can work with directly:
- Claims, not just transcripts
- Entities and context, not just mentions
- Reasoning and attribution, not just snippets
- API and MCP delivery, not another isolated dashboard
Here's an example of a claim we surfaced:
We also provide a web interface for exploring claims, entities, and podcast sources directly. But the bigger vision is not another destination site. It is an intelligence layer for investment platforms, internal research tooling, and AI-native workflows that want expert signal without the manual grind.