SWIRL Blog

November 20, 2025

The Confidence Economy: Don’t Be The Sorcerer’s Apprentice

The problem is no longer lack of data. It’s no longer an inability to retrieve data. Today’s problem is knowing which data to trust. It’s like the sorcerer’s apprentice commanded the broomstick to bring buckets of bits instead of buckets of water, but the result is much the same: data, data everywhere, with no time to stop and think.

July 29, 2025

They Keep Saying It. Why Are We Still Listening?

"They" keep telling you to centralize your data and rebuild your stack—but it’s time to stop listening. Learn how SWIRL powers real-time, context-rich AI search without compromise.

July 22, 2025

Agentic Search—Your Antidote to Tool Chaos

Technology companies love tools. Internal wikis, chat threads, versioned code, scattered docs, ephemeral insights—every system solves a problem, until it becomes one. Then the search begins. Your engineer needs a deployment script. Is it in Notion? Buried in a GitHub gist? Maybe in that shared Drive folder from last quarter? Good luck. Multiply that friction...

July 18, 2025

Agentic AI’s Appetite for Data is Growing Fast—How to Feed it Safely

Agentic AI is hungry. Not just for compute power or clever prompts, but for clean, connected, context-rich data. If that data is siloed, stale, or fragmented, the agent stalls possibly hallucinating, failing to act, or chasing irrelevant tasks. And yet, that’s exactly the state of most enterprise data: duplicated across platforms, locked behind APIs...

July 15, 2025

Concrete or Quicksand? Which Foundation Will You Get?

Do you want the foundation of your AI future to be built on concrete or quicksand? AI models are getting better every day. But when everyone can get high-powered AI models, the models are no longer the most important components of an agentic AI world.

July 10, 2025

Ditch the ETL Tax

AI isn’t the bottleneck. Infrastructure is. That’s the quiet killer of most enterprise AI efforts. You’ve got a cutting-edge agent prototype that performs well in demos, but it chokes the moment you try to move it beyond the lab. Why? Because real-world data isn’t clean. It isn’t centralized...

July 4, 2025

Burn the Pipelines. Break the Tyranny. Take Back Your Data.

For far too long, your data has lived under the tyranny of outdated assumptions and ETL processes that frustrate your efforts to use it. First it was the data warehouse. Then it was the data lake. Then it was the lakehouse. Then came the vector revolution, where every insight was just a few embeddings away....

July 3, 2025

What is Agentic Search?

Agents are everywhere these days. Finding them the data they need is a problem that is all too often glossed over or treated as a Simple Matter of Programming (SMOP). As experienced engineers know, SMOP is an ironic joke. It’s never simple. Finding a clear definition of agentic search turns out to be challenging. On...

July 1, 2025

Agentic AI Needs Agentic Search—Context, Confidence, and Control are Critical

AI agents are advancing fast—but they’re still only as effective as the information they can access. And without intelligent, real-time, agentic search, most enterprise agents are limited in their capabilities. We like to imagine AI agents as highly capable digital coworkers—able to analyze complex data, perform tasks, and make smart decisions. But in reality, even...

June 24, 2025

From Query to Action: How Agentic Search Bridges the Gap Between Insight and Execution

In enterprise AI, finding the right information is no longer the end, it’s just the beginning. Getting a correct answer to a question is helpful. But getting the answer and acting on it? That’s where real value begins. Agentic search makes that possible. Unlike traditional search tools that simply surface documents or passages, agentic search...