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And yet, that’s exactly the state of most enterprise data: duplicated across platforms, locked behind APIs, and full of outdated reports and orphaned documents.
That’s where SWIRL enters the picture. SWIRL isn’t another data lake, warehouse, or vector store. It’s a data orchestration layer designed to power agentic AI by connecting disparate systems, enforcing high-quality retrieval, and doing it all without requiring you to copy your data into someone else’s infrastructure.
Agentic AI Is Only as Smart as the Data It Can See
To do anything useful, an agent needs to reason over multiple systems: customer records in Salesforce, support logs in Zendesk, pricing spreadsheets in SharePoint, regulatory PDFs in Box, and maybe even Slack messages or Jira tickets. That’s not a single source of truth—it’s a chaotic truth mosaic.
SWIRL acts as the real-time translator and orchestrator for this mess. It routes each agent query to the right sources, pulls back only what’s relevant, deduplicates and cleans the data, and delivers structured output in formats the agent can use. This gives the agent visibility across the data landscape—without creating new silos, duplicating sensitive records, or violating data governance rules.
Data Sharing Without Data Exposure
Agentic AI’s appetite requires a new level of data sharing between departments, tools, and even business partners. But most organizations are (rightly) hesitant. Data sharing often means data copying, and that means security risks, compliance nightmares, and expensive synchronization jobs.
SWIRL avoids all that by taking a Zero ETL approach where data stays where it is and SWIRL connects to it via native APIs or secure search interfaces. This lets agents “see” across systems without the company giving up control of the data itself. It also simplifies compliance: sensitive data stays within the enterprise perimeter, subject to existing access controls and audit trails. The AI never gets unfettered access to your data stores.
Interoperability Isn’t Just for Slides Anymore
Companies love to talk about interoperability until it’s time to actually implement it. Suddenly you’re stitching together legacy APIs, building brittle connectors, and watching half your agentic workflows fail due to mismatched schemas or incompatible formats.
SWIRL is built for this reality. It normalizes results across dozens of data platforms, translating native formats into common schemas that agents and LLMs can actually understand. It also supports plug-and-play connectors, so companies can gradually grow their interoperability without ripping out existing systems. Think of it as real-world interoperability—not the kind that lives in PowerPoint decks.
Garbage In, Garbage Out: The Data Quality Factor
No agent can fix bad data. If your CRM is full of duplicate contacts, your file system is cluttered with outdated presentations, and your reports have contradictory figures, the agent is just going to amplify the mess.
SWIRL helps at the point of retrieval. It filters and scores results using advanced heuristics—favoring recent, complete, and trustworthy data over old or irrelevant files. And because SWIRL searches across multiple sources in parallel, it can cross-check results and surface inconsistencies automatically. The result is not just more data, but better data—delivered right when the agent needs it.
New Models Need New Infrastructure
Agentic AI is forcing a rethink of traditional data strategy. It’s not enough to store and protect data anymore. You need to be able to expose it—securely, contextually, and in real time. That means revisiting your sharing protocols, access layers, and metadata management. It also means investing in infrastructure that treats data as a living asset, not a static archive.
SWIRL makes that shift possible without a major data remodel. It overlays your current stack, enhances it with search and orchestration capabilities, and gives AI agents the visibility they need—without compromising your existing investments in security, compliance, and enterprise tools.
Bring Data to Life
Agentic AI will only succeed inside organizations that treat data like a product: curated, accessible, and clean. That’s not just an IT problem, it’s a business imperative. The future of AI-powered productivity depends on it.
SWIRL is the missing piece of that puzzle. Not just a search engine. Not just a connector. But a living orchestration layer that feeds high-quality data to your AI agents, at the speed, power, and scale they require.
Don’t let your AI choke on bad data. Feed it right. Feed it with SWIRL.
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