Sell-side research is the last data category that still resists clean AI integration. US brokers monetize through trade execution, not data sales, which means feeding analyst reports into an LLM removes the attribution that justifies the entire model. No attribution, no incentive to share. That standoff has left buy-side funds cobbling together workarounds for years.

This week brought two competing answers. AlphaSense launched SuperAnalyst, a closed-ecosystem product that bundles research access with its own AI layer. Aiera went the opposite direction with an AI-native research platform built for open integration. The gap between those two bets is essentially the gap between controlling the context window and renting it.

Michael and Jhanvi break down what each approach means for funds actually trying to build research pipelines, and why the choice you make now has infrastructure consequences that outlast any single model generation.

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows. 

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day. 

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