Another chatbot?
SeerAI has always been unconventional. While others were hacking together chatbots and Agentic AI systems to respond to market hype, we had our heads down solving something more fundamental: giving data a voice.
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 bolt-on tools designed to monetize friction rather than remove it, adding more layers without strengthening the foundation underneath. SeerAI had the clarity to see what was actually wrong. The problem was not the systems. It was the lack of connection between them. We did not set out to replace anything. We set out to fix communication and make everything work together.
The paradox of choice: too many tools, too little time
Even for the most competent leaders, the data landscape can quickly become overwhelming: databases, data warehouses, data lakes, data lakehouses, data marts, graph databases, knowledge graphs, semantic layers, data mesh. And with each of these, the number of competing technologies is innumerable. There are thousands of database systems, thousands of file formats, thousands of API standards – how do you build an architecture that will scale with your organization’s unique needs? Perhaps more importantly, which are the right technologies?
Competent leaders plan for perfection: perfect data, perfect systems, perfect alignment. Great leaders recognize reality: no matter how grand the vision is, you are going to end up with a fragmented ecosystem. The difference is that great leaders harness chaos instead of fighting against it.
The fact is, most organizations have been doing it right all along – for their specific contexts. What’s missing isn’t better architecture, a better database, or a new format. What's missing is the tool to harness the chaos.
Building bridges where others see walls
We’re betting on that chaos. We live in it. We see it expanding as organizations adopt new tools, new data sources, and new workflows faster than anything can be standardized. That chaos is not going away. It is the environment modern enterprises operate in. SeerAI was built to operate inside it, alongside it, and around it. We built the bridge that allows systems to communicate across domains and departments without forcing organizations through another expensive and disruptive data migration.
Every approach has value. Every system has meaning. But meaning lives in context. Context lives in the people who built these systems, in the domain expertise embedded in your data models, and in the institutional knowledge that never makes it into documentation.
The tools to harness chaos are the same tools that capture this knowledge. The same foundation that can coordinate your systems also preserves and surfaces the knowledge within them. Let me show you.
So, another chatbot?
As SeerAI ’s CTO, I’ve been resisting the temptation to build agentic AI integrations. When asked if we will, my response has been consistent: of course we will – in due time. While everyone was racing to bring yet another chatbot across the finish line, we were solving the foundation problem: how do you drag the chaos of all disparate data infrastructure, kicking and screaming, into the age of AI?
I would not say the problem is solved. But SeerAI has built a coherent path through it — a way for organizations to move forward without undoing what already exists. To demonstrate why I believe this, I want to introduce a prototype application we’re calling Geodesic Guides: expert companions for navigating your data universe.
A chatbot. Got it.
SeerAI is not an LLM bet. Agentic AI today relies on machines speaking human language, and that paradigm has moved the world forward faster than anyone expected. But models are not the destination. They are a phase. The industry will move beyond LLMs just as it moved beyond previous generations of AI. We built SeerAI so that transition does not matter. By solving the data and communication layer beneath AI, we future-proof organizations against model churn. Whatever intelligence comes next, your foundation is already prepared.
Guides is not a complete product, at least not yet. It’s a demonstration of how fast you can move when you are building on the right foundation. It shows what you can achieve by embracing a chaotic data landscape.
All in, this was built by one developer (with some AI help) in two weeks. It was built atop the use-case agnostic foundation our brilliant software team has built over the last five years. Agentic AI is not the hard part – the data is. Our effort today means that you can build scalable systems across any data for any agents of the future.
The Librarian
My co-founders and I have been dreaming about this concept since we founded the company back in 2020. We knew it would one day be possible, but accomplishing it was simply not possible at the time. We didn’t rush to build The Librarian, we worked dutifully to build its foundation.
Ask a question in plain English and immediately receive data access and context. Like a real librarian, ours lets you work with all of the data you have access to without having to journey across multiple fragmented systems. The Librarian guides you through your toughest data challenges. No hallucinations, just clarity.
The Ontologist
SeerAI has been built on a knowledge graph foundation since the beginning. One of the biggest barriers organizations face when adopting a knowledge graph strategy is the burdensome curation – common vocabulary, ontology, and putting your data and organization in context.
Your organization needs a common language – both within and across departments. That’s why we built The Ontologist: to aid organizations in rapidly adopting a shared ontology that can be mapped into the real world; to provide a shared understanding that’s needed both for humans and agentic AI.
The Cartographer
Often times, spatial context is locked behind a GIS group, if that even exists within an organization. While GIS professionals excel at communicating through maps, this capability remains siloed and organizations cannot effectively unlock the massive value in spatiotemporal data.
Most, if not all, data is spatiotemporal, yet so often people ignore the value hidden in the combination of time and location. The Cartographer reveals this value – ask a question and get a visual representation of your answer – without spending all your time managing complex and specialized GIS software.
Scale for what comes next
Three applications. Two weeks. One foundation. That’s what happens when you solve the foundation problem first. What once required massive investments of time and capital becomes straightforward because the hard part has already been solved. Focus on the data, and the rest follows.
Every approach has value. Every system exists for a reason. Too much good work is lost when organizations try to start over instead of building forward. The world is iterative and constantly evolving. Your data infrastructure should be too. SeerAI sits between your systems, allowing them to communicate without forcing consolidation or replacement.
So who’s doing data right? All of them. And that is exactly why SeerAI exists. We are not a replacement for what you have built. We make what you already have work better... together.
AI doesn’t create value on its own. Data working together does.