Cost per call enabled Tegus

Tegus used cheap calls to make the subscription feel low risk and expandable, not to make calls themselves highly profitable. A fund could start by reading transcripts, then add live calls when a name got interesting, without stepping into the large per call markup common in traditional expert networks. That mattered most for smaller and mid sized research teams, where each extra call directly hit the budget and where flexible usage helped Tegus land accounts before its library was fully broad.

• The practical difference was simple. On Tegus, a client paid the expert's rate plus transcription. On GLG style models, a call could cost roughly $800 to $1,200 or be consumed via credits. That made frequent calling much easier to justify inside an annual subscription.
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• This pricing worked as a wedge against incumbents with bigger expert rosters like GLG and Guidepoint. Tegus could not always match them on sourcing speed, but it could win on budget flexibility and then reuse every transcribed call to deepen the library for all subscribers.
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• The model also shaped Tegus into a data business. Because every call was transcribed and added to the archive, the company could monetize the same research twice, once through the live call, then again through subscription access to the growing transcript library and later adjacent products like BAMsec and Canalyst.
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The category is moving toward bundled research platforms where live calls are one input among filings, models, and AI summaries. In that world, at cost calls remain important because they keep fresh proprietary information flowing into the system, while the real long term value shifts to search, synthesis, and cross dataset workflows built on top of that content.