Tegus

A searchable library of over 100,000 expert call transcripts where former executives, customers, and industry specialists answer questions about companies, competitive dynamics, and sector trends. You can search full-text, filter by company or topic, and use Tegus AI to ask natural language questions. Each transcript is a one-hour conversation that was conducted and recorded by Tegus on behalf of a paying client, then added to the library.

GLG, Third Bridge, and AlphaSights are traditional expert networks — you pay per hour (often $500–$2,000) to schedule custom calls with vetted experts. Tegus flipped the model: pay a flat subscription and get unlimited access to a growing library of pre-recorded calls. For high-volume users, Tegus is dramatically cheaper. For bespoke questions, traditional networks are still better because you can drive the conversation in real time.

For broad thematic questions ("what do former AWS customers say about cost pressure in 2025?"), Tegus AI is much faster than manual search because it synthesizes across multiple transcripts and cites the sources. For specific factual queries where you know the exact quote, search is often still faster. Most users blend both approaches.

Depends on your process. Funds that depend heavily on primary research and were already paying for expert networks typically see Tegus as a massive cost saver. Funds that do mostly quantitative or public-filings-based work may not get enough value. The break-even is usually around 2–3 scheduled expert calls per month per analyst.

Yes. Tegus uses its own network of vetted experts and obtains written consent for each call. Transcripts are redacted for material non-public information and reviewed for compliance before being added to the library. Tegus maintains MNPI policies and trains users on expert-network compliance best practices. Large asset managers have approved Tegus for internal use.

Since late 2024, Tegus has started integrating with AlphaSense's broader content library. Cross-platform search, unified AI Q&A, and shared notebooks are the current roadmap priorities. Tegus is still sold as a distinct product but existing AlphaSense customers can now add Tegus more easily, and vice versa. Expect more integration over the next 1–2 years.

Some transcripts include audio, but the core product is text. Tegus emphasizes searchable, skimmable transcripts because analysts can consume 10× more content that way than by listening. For calls where tone or hesitation matter, audio is available on selected transcripts.