Cohesion

Product & Competitive Intelligence

AI agents that monitor public equities and an agentic research teammate for hedge fund analysts.

Company Overview

Cohesion is an agentic AI platform for public equities investors. It tracks covered companies across earnings, news, podcasts, and X/Twitter, serving as an autonomous research collaborator for hedge fund analysts, portfolio managers, and equity research teams. Launched with 10+ long/short and long-only fundamental equity funds managing $10B+ AUM.

Latest Intel

Zeitgeist tracks private signals to determine where the company is heading strategically.

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What They're Building

The company's public product roadmap & what they're committed to building.

Public Equities Agent

Always-on agent for monitoring covered public companies and surfacing investor-relevant changes.

Earnings Coverage

Tracks earnings season updates so analysts can react without manually reading every release or call.

Multi-Source Monitoring

Combines news, podcasts, and X/Twitter into a single research feed for public-market coverage.

Financial Document Reasoning

Parses 10-Ks, 10-Qs, transcripts, and investor presentations with multi-step reasoning rather than simple retrieval.

Ticker Watchlist Onboarding

Workflow centers on sending a set of tickers so the product can start covering an analyst watchlist.

Competitors

Bloomberg Terminal:

Institutional incumbent with deep market data, messaging, and workflow lock-in, while Cohesion focuses on agentic research monitoring.

AlphaSense:

AI market intelligence and research search platform with broader enterprise coverage and deep expert call library; more entrenched but less agentic.

Hebbia:

Agentic document analysis platform popular with hedge funds and PE; closest analog in the agentic-research-for-finance category.

Rogo:

Finance-focused AI assistant for investment workflows, while Cohesion's wedge is always-on public-company monitoring.

Cohesion

's Moat:

No credible moat yet. Most likely path is workflow lock-in via analyst note-taking, model integration, proprietary research memory inside buy-side teams, and user feedback loops.

How They're Leveraging AI

Personalization

Persistent analyst memory that learns each user's coverage universe, thesis style, and preferred analytical framing.

Recommendation

Signal ranking across alternative public data so analysts see differentiated items rather than every mention of a company.

RAG

Domain-tuned retrieval over financial documents with reasoning across filings, earnings calls, and investor presentations.

Agentic Workflow Automation

An agent monitors a fund's public-equity watchlist across earnings, news, podcasts, and X, then surfaces investment-relevant changes without a manual query.

AI Use Overview:

Uses LLM-driven multi-agent orchestration to monitor varied financial content, link it to tickers, rank events, and write investor-ready explanations — reasoning chains tuned for equities research rather than generic chat.