YipitData AI Coverage & Key Insights

August 13th, 2026 | 11:00AM ET

Join YipitData's Matt Wegner and Grace Kim on August 13th, 2026 at 11:00 AM ET for an overview of our AI coverage and recent highlights from our work, including:

  • Anthropic and OpenAI revenue, market share trends
  • Where we’re seeing open-source and China based model competition heat up
  • Tokens and token pricing
  • Competition and growth amongst “vibe coding” platforms
  • AI impacts within our software coverage

Questions? Email our event team insights@yipitdata.com

Save Your Spot

The team behind the
YipitData AI Coverage & Key Insights

Grace Kim
Senior Research Analyst
Matt Weger
Senior Research Analyst

We solve the problems you struggle with most

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Navigating multiple sources of truth

As new datasets become available with varying levels of accuracy, quality and compliance adherence.

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Managing and funding multiple vendors

With each specialized data vendor only contributing to a fraction of the full picture.

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Syncing multiple nuanced data types

Stitching together sources of partial truth to tell a cohesive story to your organization.

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Preventing misuse across data sets

Educating users on which data sources to use to answer which business questions.

A single source of truth for 650+ customers

Our proprietary approach combines various data sources (physical/email receipt, credit card, web-scraped, etc) with predictive modeling to give you the most accurate and granular read on market performance.

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Grow your business through data-driven decisions

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Market Trends

Contextualize your performance with sales data by competitor brand in your categories across your key retailers (incl Amazon, Home Depot, and Lowe’s)

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Consumer Behavior

Monitor your key competitors’ sell-through, pricing, premium product adoption, retention, cross-shopping, and attachment rates to understand how the market is shifting

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Product Category Analysis

Category and sub-category analysis, including customized categorization, granular detail and competitive pricing, discounting, and assortment analysis