Blog
The Best Players in the World Still Need a Coach
Enterprises have assembled the best players at every position. Yet when a question crosses departmental or technological boundaries, all that individual excellence doesn't add up to a good answer.
Data Déjà Vu
Most enterprise software remembers what you did. Very little of it preserves enough of why you did it to help you do something different next time. Why do we keep solving the same problems?
The Data Remembers. Why Don't We?
Organizations are very good at accumulating information, but much less successful at preserving the intellectual work required to make sense of it. Six words for understanding data in the age of AI.
Fluency Is Not Provenance
An LLM gives you a confident, articulate answer in seconds. But one of the biggest obstacles to enterprise AI isn't AI.
Seeing the Constellations
Most companies don't have a shortage of stars. They have millions of them. Finding stars isn't the same thing as seeing constellations, and that's where the real intelligence in Geodesic lives.
Are There Too Many Data Centers?
Thomas Malthus assumed we'd run out of what population growth needed. He underestimated our ability to get more productive with what we had.
Under the Chuppah
This past week my daughter got married, and I've spent the days since trying to describe it and mostly failing.
The Gold Dollars
Blue dollars are the costs you take out of the business. Green dollars are the value you create through better decisions.
Use the Tool. Or Be the Tool.
I have a prediction: "data scientist" is going to become a very uncool job title.
The Enterprise Doesn't Have One Ontology
Everyone suddenly wants an enterprise ontology, and it makes sense. But there's a problem with the idea: the enterprise doesn't have one ontology. It has hundreds of them.
The Question Your Supply Chain Can't Answer
A storm is forming over the Southwest. Every piece of data needed to answer what breaks next already exists. The answer is still four hours away, and by then the storm has landed.
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.
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.
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.
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.
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.
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.
“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.
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.
SeerAI is not in a vertical. We are in a horizontal. It's 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.
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.
The Product Engine
The real challenge in analytics isn’t building a good model. It’s building the environment where good models can continuously become useful ones...
Protocols and the Next Layer of AI Infrastructure
As the dust begins to settle on LLMs and the real work of structural AI begins in earnest, it’s becoming clear that communication protocols will define the next...
The Real Work of Data Connections
There’s a growing belief that we can hand off much of the manual and cognitive load of solution design to the nearest LLM. And while that’s increasingly true for exploration...
There Is No Right Way to Do Data. That’s the Point.
Organizations were never doing data wrong. They were doing it differently, and that difference is a reflection of real operational needs. The industry responded with...
What's Missing from LLMs?
Ask ten people how they value LLMs and you’ll get eleven different answers. They are terrible, or they are amazing; overhyped or underutilized; too simple or too magical...
Organizational Encoding
If you’re feeling frustrated in your organization’s struggle to capitalize on the most recent technological developments, you’re not alone. That struggle is not due to a lack of data...
Ontology: The Foundation of Enterprise AI in 2026
As we kick off 2026, ontology is top of mind for every data and AI leader. Learn how to expand from shallow schemas to deep ontological structures that power next-generation enterprise AI...
Building the Data Infrastructure Biodiversity Needs
When Esri recently published a tutorial on downloading GBIF biodiversity data, it showed the classic workflow that has defined GIS for…
Building the Bell Labs for Data in the Age of AI
Artificial intelligence is reshaping industries, from national security to energy to healthcare. Yet for all the excitement, most…
The Future of Data is Decentralized
SeerAI was built to solve a foundational challenge: connecting fragmented, incompatible, and siloed data to modern AI systems — quickly…