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.

November 8, 2024

It Really Is Possible to Save Time With AI

From washing machines to coffee makers, tools have always helped us save time. But in today’s data-saturated world, finding the right information often consumes 1.5–2 hours a day—one lost workday each week. AI can extract meaning from mountains of data, but uploading sensitive business information to third-party vendors introduces serious risks and costs. SWIRL flips the script by bringing AI to your data—securely, within your trust boundaries—so you can end the data scavenger hunt, recover your lost time, and focus on what matters.

November 4, 2024

SWIRL + ServiceNow: Get Answers, Not Another Hunt

Tired of hunting for answers across ServiceNow, Teams, and other systems? SWIRL’s zero-copy search brings them all together—no data duplication, no new indexes, no complex setup. With simple API configurations, you can connect multiple ServiceNow instances or 100+ other platforms in minutes. SWIRL re-ranks results for relevance, integrates AI Co-Pilot for real-time refinement, and keeps your data where it belongs—under your control. The result? Faster answers, fewer clicks, and a smarter way to work.

November 1, 2024

Three Numbers Spell Burnout—But AI Can Change That

In 1986, knowledge workers handled about 10 pages of information per day. By the early 2020s, that number soared to 150 pages—a short novel’s worth daily. This overload leads to wasted hours, frustration, and burnout. SWIRL solves the problem by bringing AI directly to your data—without re-indexing, duplicating, or moving it. From enterprise databases to chat tools and PDFs, SWIRL finds the key details you need while keeping your data secure. The result? Less overload, more productivity, and zero burnout.

October 28, 2024

From POC to Production: Lessons from our latest webinar!

Many AI POCs look great in demos—like bots answering questions from a PDF—but fall apart in production. Updating and curating content becomes labor-intensive, especially when information changes often. SWIRL eliminates that problem. Instead of reformatting data into PDFs, SWIRL searches internal sources like SharePoint, Box, and secure websites, delivering updated answers instantly with Retrieval Augmented Generation (RAG). No special file handling, no lag—just accurate, real-time results that scale from POC to production.

October 22, 2024

Turn AI From Amusing Toy to Productive Tool

AI looks easy to use—but it’s just as easy to use badly. Without careful prompting, users encounter irrelevant answers, hallucinations, and wasted time. SWIRL solves these problems by enhancing prompts with Retrieval Augmented Generation (RAG), combining your private and company data securely—without moving it—and delivering more accurate, relevant results. The result? Up to 8 hours saved per week and a frustration-free AI experience that turns AI from an amusing toy into a truly productive tool.

October 18, 2024

From Data Scavenger Hunt to Data Gold

Data is growing exponentially, stored across countless locations—email, Slack, Teams, PDFs, and more—making it harder than ever for knowledge workers to find relevant information quickly. Traditional search tools often produce mountains of irrelevant results, wasting 7–10 hours a week per person. SWIRL changes this with secure, AI-powered enterprise search that integrates directly with your data sources, eliminates duplication, prevents hallucinations, and organizes results by relevancy. The result? Fast, fact-based insights you can trust—turning your data scavenger hunt into actionable gold.

October 16, 2024

RAG Against the Machine

When AI “hallucinates,” it can give convincing but false answers—like imaginary court cases or nonsensical instructions. Retrieval Augmented Generation (RAG) prevents this by limiting AI responses to verified data sources. SWIRL applies RAG without duplicating data or requiring a vector database, bringing AI to your existing systems while maintaining security. The result is context-aware, relevant, and trustworthy answers—no mess, no nonsense.

October 10, 2024

Have You Found What You’re Looking For? AI Search Has The Answers

Traditional enterprise search is broken—scattered data, keyword overload, and hours lost hunting for answers. SWIRL changes the paradigm with AI-enhanced search that queries all your authorized data sources, reranks results by meaning, and delivers relevant answers instantly. No reindexing, no data duplication, and no new systems to maintain—just faster, more accurate results from databases, email, Slack, WebEx, Teams, and more.

October 4, 2024

SWIRL v3.8 has been released

SWIRL 3.8 introduces major upgrades for enterprise AI and metasearch users, including enhanced PII redaction to boost security, performance improvements for faster and more scalable search, updated RAG citation formats for cleaner UI integration, and expanded documentation for quicker deployment. This release reflects SWIRL’s ongoing commitment to secure, efficient, and user-friendly AI search solutions.