Technology and cross-sector research

Analyze software retention, semiconductor customers, cash flow and the power infrastructure behind data-center investment.

6 selected guides · Curated by AllMind

Technology research often turns on a denominator: which customers are in retention, which geography a sale represents, or which stage a power request has reached. These examples reconstruct the measure before drawing a conclusion about demand.

Follow the industry connection as well as the sector assignment. Software, chips, equipment and electricity can share an investment theme while having different revenue recognition, capital needs and risks. The collection includes a method for carrying those distinctions into a sell-side or portfolio briefing.

Software growth and cash

Read retention and obligations alongside revenue, then test the cash-flow interpretation.

  1. AI Software Research: When Growth, Retention and RPO Disagree

    Snowflake grew product revenue while retention declined. Reconcile the measures, test what backlog supports, and use AllMind for cited software coverage research.

    Read guide : AI Software Research: When Growth, Retention and RPO Disagree
  2. Software Short Research: What Flat Cash Flow Can Hide

    Reconcile Atlassian's cash flow, stock compensation and working capital. See how AllMind helps a long/short team test the evidence behind a software short thesis.

    Read guide : Software Short Research: What Flat Cash Flow Can Hide

Chips and infrastructure demand

Trace exposure through customers and power commitments without double counting.

  1. AI Semiconductor Research: Who Actually Buys the Chips?

    NVIDIA's customer and geography disclosures overlap. See how to avoid double-counting demand and use AllMind to connect semiconductor evidence across companies.

    Read guide : AI Semiconductor Research: Who Actually Buys the Chips?
  2. AI Data-Center Power Research: A Request Is Not Load

    AEP Ohio's data-center funnel narrowed from 30,000 MW of requests to 5,642 MW of new contracts. Work through the investment read-through with AllMind.

    Read guide : AI Data-Center Power Research: A Request Is Not Load

Connect the coverage list

Carry sector evidence into a research note and a long/short process.

  1. AI Sector Research: Follow the Exposure Beyond the GICS Label

    Use a payments earnings example to build sector briefings that preserve the revenue driver, relevant peers and research owner across GICS boundaries.

    Read guide : AI Sector Research: Follow the Exposure Beyond the GICS Label
  2. What AI Software Should a Long/Short Equity Fund Use?

    Compare AllMind, AlphaSense, Hebbia, Rogo and Quartr for long/short research: peer read-throughs, thesis challenges, recurring coverage and investment notes.

    Read guide : What AI Software Should a Long/Short Equity Fund Use?