Part of 
Lizzie EptonLizzie Epton's job as a product marketer is keeping tabs on what every other company in the data space is talking about.
When you read industry reports back-to-back you notice every vendor is talking about the same problem: AI ambition is outrunning data readiness, trust, and governance.
We wrote our own industry report to tell you why a context warehouse is the thing our competitors have been looking for, backed up by their own data.
You don't have to read everyone's reports to know what's important in data infrastructure, just read ours:
- It's only 2 pages, not 300.
- It's still a PDF, so it still feels professional.
- Not gated behind a form, no need to give us your email
A context warehouse is a data warehouse, plus the pipeline, modeling, and query tools - in one system, optimized for agents.
No form
to fill,
just click!
Prefer the 30-page version?
Copy the prompt below into your own agent, or hand it straight to Claude, and it'll go build the long version, sources and all. Consider it the corporate version.
Research the current state of "data readiness" for AI products in 2026. Focus on data warehousing, data ingestion/ELT, data governance and quality, and data orchestration. Pull findings from recent industry reports and surveys (Fivetran, Monte Carlo, dbt Labs, Astronomer, Snowflake, Databricks, Matillion, and the State of Data survey), plus any comparable reports you can find. Write a 30-page report called "The Context Gap" that: 1. Defines what "data readiness" actually means for AI agents and products, not just BI dashboards. 2. Explains why AI agents give confident, wrong answers when they can't see the full picture (product data, billing, support, etc. in one place). 3. Explains why teams end up building pipelines to compensate for that, and why that's a tax rather than a fix. 4. Proposes what a unified approach (ingestion, modeling, storage, and querying in one system) would need to look like to close the gap. Cite every stat to its source report. Flag anything you can't verify instead of guessing at a number.