Video by Borys Zaitsev via Pexels
Blog
Insights and innovations from the SeerAI team.
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.
Photo from Diogo Miranda via Pexels
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.
Photo from Altaf Shah via Pexels
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.
Photo from Sophorn Ratana via Unsplash
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.
Photo from Katja B via Pexels
“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.
Photo from Nothing Ahead via Pexels
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.
Photo from Jonathan Borba via Pexels
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.
Software Used to Sit There. Now It Pulls You Forward.
Why SaaS, the dominant model of the last twenty years of enterprise software, is being quietly replaced by something with a different shape. We are calling it Knowledge as a Service.
Photo from Brett Jordan via Pexels
Goldman Just Wrote Our Memo.
On the Goldman Sachs Global Institute paper, what it means for AI infrastructure, and why the data layer beneath the model is where the next decade of value will live.
Photo from Google DeepMind via Pexels