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Insights and innovations from the SeerAI team.

The End of the War Room
A customer asked Geodesic a question that normally sends half a dozen experts off to gather information for a week. Ten seconds later, the answer was on the screen. The room went quiet.
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SeerAI and the Future Joe Lonsdale Described
The Joe Lonsdale piece from earlier this summer keeps coming up in our conversations. The lesson from Palantir was not the application. It was the platform underneath it.
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All Data Is Spatiotemporal
Spatial data is treated as a specialized category of enterprise data. It shouldn't be. Everything exists somewhere. Everything happens at some point in time. That has structural consequences for how the enterprise builds for AI.
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The Enterprise Does Not Need Two Data Architectures
Every large enterprise still runs two data architectures. One for the map. One for everything else. That distinction is starting to break down.
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What I Heard in Bentonville
I came here with a thesis. I'm leaving with product motion. Three weeks in the Fuse Ventures supply chain accelerator, and the same wall came up in every room.
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Supply Chain AI Runs on Context
Supply chain is one of the most important places for AI to work, and one of the hardest places for AI to deliver meaningful results. The difference is context.
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“Palantir for X” Is Inevitable. The Real Opportunity Is the Context Layer.
Marissa Moore recently argued that “Palantir for X” is inevitable. She is right. But the deeper opportunity is not the vertical application. It is the context layer underneath every vertical.
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What Comes After LLMs Is the Real World
LLMs are powerful language engines. But language is not the world. The next frontier of AI is grounding intelligence in real-world data, systems, and context.
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SeerAI is not in a vertical. We are in a horizontal. Its called Data.
Investors keep asking what market SeerAI is in. The honest answer is that the map does not exist yet. We are building horizontally across something more fundamental: data itself.