Model Context Protocol has moved from developer curiosity to enterprise wiring in under a year. The research-vendor stack is next.
On Bloomberg's Odd Lots, Jensen said machine-side outputs at the fund now stand next to a 50-year human research process.
The vertical release bundles data connectors, cited research, and deck generation, and lands on FactSet and S&P Global's turf.
The integration wires PitchBook's private company records into Maverick, Maywood's proactive agent for dealmakers.
The former crypto fund manager says his agent-run setup replaces a multi-million dollar payroll, with autonomous agents due later this year.
The tie-up lets vetted deal teams run Rogo queries on live Datasite content without exporting files or bypassing room permissions.
The 2020-founded company known for grid-style document analysis is updating its flagship product as competitors push into the same workflow.
Ken Griffin says work that took PhDs weeks now runs in days, shifting the pressure onto portfolio managers to convert output into P&L.
Re-embedding a decade of expert-call and earnings transcripts is the six-figure bill nobody puts in the vendor RFP. It is becoming the durable moat in primary research infrastructure.
Synthetic personas are landing in the same agent runtime as human expert calls. Respondent-type disclosure is the next provenance field, and no one has shipped it.
Vendor selection is migrating from procurement RFPs to agent-runtime endpoint resolution, and the registry is where placement is decided.
The AI platform now routes Guidepoint expert-call content alongside FactSet fundamentals and Carbonarc alt data inside Perplexity Computer.
A working example of how a human expert network extends its respondent graph into an AI-priced product without cannibalizing the custom-recruit business underneath it.
How a vertical finance agent moved from pilot to production across banks, hedge funds, and asset managers in under 18 months.
A walkthrough of how an agentic research platform got authenticated, permissioned access to a virtual data room without breaking the audit trail.
Buy-side teams get pre-calculated performance, attribution and risk outputs piped into private LLM environments under a limited release.
The research intelligence platform is pitching AI-built personas trained on client research and its identity-verified professional panel as a faster alternative to primary fielding.
Mutual clients can now query GLG's moderated interview transcripts and channel checks through Bloomberg Terminal's agentic AI interface.
Nordic bank rolls out internal AI platform that consolidates equity research, earnings transcripts, and financial estimates for corporate client conversations.
The $18 billion firm is building a long-biased equity strategy where hundreds of AI agents handle research work normally done by analyst teams.
The Lazard-analyst-turned-founder lays out how Rogo got past banker skepticism, where the bulge-bracket footprint stands, and why sitting next to OpenAI is both a channel and a risk.
The world's highest-grossing law firm is building software with Palantir to advise sponsors on raising capital from LPs like pension funds.
The consortium-backed infrastructure layer routes broker research, transcripts, filings, and expert content into AI tools through entitlement-aware APIs.
The expert network's MCP connector lets clients query 100,000+ compliance-reviewed transcripts inside Perplexity Computer for Finance.
A $47M Series C and a published accuracy gap sharpen the argument that the data layer, not the model, is now the binding constraint on agent-driven research.
Boston-based PE consultancy adds dedicated AI team to advise sponsors and portfolio companies on diligence, readiness, and deployment.
Enterprise Claude customers can now route existing spend commitments to Hebbia's finance research platform.
Hebbia and Claude show up in concrete GP workflows, but adoption pace varies sharply across managers.
The integration pipes approved virtual data room content into Hebbia's analysis layer, preserving version control across diligence cycles.
Bloomberg profiles Felipe Sinisterra and Dave Wang, who are billing global banks to operationalize the AI tools their internal teams have struggled to deploy.
