Tegus' operations-driven advantage

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Engineering leader at Tegus on building a data platform for expert interviews

Interview
we were way farther ahead than Stream, we had a better operation
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This points to execution, not just content volume, as the real edge in expert networks. Tegus did not simply stockpile transcripts, it built a machine for finding the right former operator, matching that person to a live research request, booking the call fast, and turning the result into reusable library content. That made each interview more valuable twice, once to the buyer in the moment, and again to every later search inside the transcript archive.

  • The operating bottleneck was the human workflow. Tegus had roughly 100 operations staff coordinating expert matches and was measuring how well each person sourced and booked calls. In practice, better operations meant faster turnaround, better expert fit, and less wasted analyst time.
  • The contrast with Stream was quality versus breadth. AlphaSense called Stream the broadest database of investor led expert calls when it bought the business in October 2021, while multiple Tegus operators described Tegus as more custom sourced and more consistent in expert quality. That suggests Tegus won on relevance per call, not just total call count.
  • That helps explain why AlphaSense eventually bought both assets. Stream gave AlphaSense an early transcript library in 2021. Tegus added a larger transcript base, stronger call operations, and a fuller research stack after its Canalyst and BamSEC acquisitions, which made the combined platform more useful to investors doing everything from initial search to deep diligence.

The market is moving toward systems that blend software search with highly structured primary research operations. AlphaSense is already extending Tegus with AI led interviewing and channel checks, which means the next advantage will come from turning expert sourcing, interviewing, transcription, and retrieval into one continuously compounding data engine.