Expert Calls as Reusable Data Assets

This turns each paid call into a reusable data asset, which is the core move that let Tegus act less like a broker and more like a research database. Once follow up questions and answers are posted back to the platform, a one to one interaction becomes content that improves search, summaries, and company level coverage for every later user, not just the original caller.

• Tegus was built around the idea that the valuable product was not the phone call itself, but the transcript library created from those calls. Follow up Q&A extends that same logic. If an investor asks two more sharp questions after the call, those answers become additional inventory that other investors can discover later.
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• This also helps solve the quality problem in seeded content. Tegus found that calls created without a real thesis often produced weak transcripts. Post call follow ups keep content tied to a live research need, so the added material is more likely to contain the exact clarifications, edge cases, and missing context that future users care about.
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• The broader market was moving the same way, toward faster reuse of primary research. AlphaSense bought Tegus because expert transcripts were a differentiated private market content source, and competitors like Office Hours also describe transcript libraries as valuable because they reduce friction to insight, even if their model emphasizes expert monetization more directly.
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The next step is a platform where expert calls, follow up Q&A, summaries, entity tagging, and cross linked filings all feed one searchable knowledge graph. That pushes the category toward fewer standalone calls and more structured, compounding research objects, where the winning platform is the one that turns every interaction into something useful again.