Speed as the Incumbent Moat

Speed was the incumbents real moat, not just their brand. GLG and Guidepoint had already built giant expert supply networks, so a client could ask for a former operator in a niche market and get options fast. Tegus was cheaper because calls were priced near cost and the subscription library carried the economics, but that model did not automatically make the matching and outreach machine faster, especially when every call also had to be transcribed.

• The bottleneck was very physical. Tegus had roughly 100 operations staff arranging calls, and a large share of the work was still hunting experts on LinkedIn, finding contact details, reaching out, and getting a response. That makes turnaround time a staffing and workflow problem, not just a software problem.
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• Tegus chose to invest more on the demand side than the supply side. That meant serving paying clients well, but spending less time building long term expert relationships and bench depth. GLG and Guidepoint had the opposite advantage, large prebuilt rosters that could be tapped immediately.
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• Transcription made the gap wider. GLG allowed some calls without transcripts, while Tegus required transcription on every call because the transcript library was the product. That improved the resale value of each conversation, but it also ruled out some compliance sensitive use cases and made the call flow less flexible.
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The market keeps moving toward platforms that combine fast expert access with reusable content. That favors players that can do both, build deep expert inventories for immediate calls, then turn those calls into searchable data, summaries, and linked research assets that compound in value over time.