AlphaSense builds AI-driven primary research

Channel Checks matters because it turns expert research from a scheduled human service into a machine run data collection loop inside the same product where analysts already search filings, earnings calls, and broker notes. AlphaSense is no longer just helping users find information faster. It is creating new information, then feeding that output back into a library that already includes Tegus’s 200,000 plus expert transcripts across 25,000 companies.1 2 3

• Tegus built the hard part first, a two sided system for sourcing experts, running interviews, and storing transcripts that could be reused by later customers. Channel Checks extends that base by replacing some of the manual interviewer work with an AI agent, which makes primary research faster and more repeatable.2 4
• That is different from traditional terminals like FactSet and Bloomberg, which remain strongest in structured market data and entrenched workflows, and from standalone expert networks like Dialectica, which sell access to experts but do not pair it with the same search, transcript library, and agentic research stack in one place.2 5 6
• The strategic effect is bundling. An analyst can search public documents, pull old Tegus calls, and trigger fresh channel work without leaving AlphaSense. That lowers the need to buy separate expert network seats, and it makes each new interview improve the product for the next user.1 2 3 5

The next step is a research platform that both reads the world and actively samples it. As agent run interviews improve, primary research starts to look less like a premium one off service and more like continuously refreshed proprietary data, which should deepen AlphaSense’s workflow lock in and widen the gap with transcript libraries and data terminals that still mostly organize existing content.1 2 3 4 6