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 […]

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 […]

You’d be forgiven for thinking it’s a little strange—maybe even pointless—to bring AI-powered search to Google Workspace.  After all, this is Google. The company whose name is synonymous with search. Trying to enhance Google with better search feels a bit like installing sprinklers in a rain forest. But here’s the thing: while Google’s public web […]

AI agents are quickly becoming a centerpiece of enterprise transformation strategies. They promise to handle routine tasks, retrieve information, make decisions, and even initiate actions autonomously. On paper, they look like the future. In reality? They often act more like cats given car keys—enthusiastic, fast-moving, and completely unaware of the chaos they can cause. It’s […]

When we talk about building AI agents, most of the focus is on infrastructure: how to connect agents to the right systems, how to manage access controls, and how to ensure reliable, secure data delivery. And yes, those are critical components—after all, agents can’t do much if they don’t have access to the right information […]

You’ve got the vision. The pilot runs beautifully. Everyone’s excited about automation, AI-powered productivity, and the promise of agents that can handle everything from summarizing meetings to drafting reports and answering questions. But just when it’s time to scale… progress stalls. Reality obnoxiously asserts itself. That promising AI agent project starts to fizzle, and no […]

Everyone wants AI agents, whether to create multi-step automation, automatically update wikis and other information repositories, generate sales leads, or dozens of other uses. The biggest challenge, however, isn’t the AI part of the equation; rather, it’s providing the fuel: data.   Data Powers AI—If You Can Get It  More than ever, data is the fuel […]

It’s a bit like evolution in action.  In nature, evolution favors traits that help organisms thrive. But when the environment shifts suddenly, those once-useful traits can become useless appendices. The same holds true for enterprise technology.  Every software or system you adopt solves a problem… until the environment changes. And in 2025, the environment has […]

ETL and other data remodeling projects are, quite possibly, the biggest blockers of AI agent development. According to BCG, 74% of organizations struggle to achieve value from their AI initiatives, only 4% have developed truly cross-functional AI capabilities, and 29% of AI agent projects missed deadlines in 2024.  AI agents are only as good as […]

Ever feel like there’s some critical piece of information that you just can’t find? That there’s something important, something that would help you make better decisions, sitting just out of sight?  Data should be a strategic advantage. It’s supposed to fuel smarter decisions, drive customer satisfaction, and reveal new revenue opportunities. But for many businesses, […]

Hansel and Gretel had it easy. They were only lost in the woods once. And despite some awkwardness with a witch and a candy house, it ended up working out pretty well for them. Modern teams, on the other hand, may not have to worry about being eaten by a wicked witch, but they do […]

It’s time to stop searching in a foreign language. Working with computers forces people to think like a computer and communicate in a language the computer understands. Although keyword-based queries are a big step up from writing code, they are awkward, often require playing “guess the keyword,” and still frequently miss the mark. They’re still […]

There’s a common misconception in enterprise AI:If your AI agent needs access to internal knowledge, you first need to build a vector database. It sounds logical until you actually try it. Suddenly you’re drowning in embeddings, data pipelines, security concerns, and months of effort just to get a prototype off the ground. But here’s the […]

“The first amendment, the second amendment, the third amendment, the fourth amendment, the fifth amendment…”  “Stop!”  “The sixth amendment, the seventh amendment, the eighth amendment…”  “Alexa, stop!”  “The ninth amendment, the tenth amendment, the 11th amendment, the 12th amendment…”  “Alexa STOP!”  “The 13th amendment, the 14th amendment…”  “ALEXA STOP!”  One of my kids asked me […]

Put on a blindfold at home, and you’ll probably manage just fine—barring the occasional stray Lego. Familiarity can carry you a long way, at least until you want to cook or rearrange furniture.  But blindfold yourself on a busy sidewalk, and you’re suddenly a pinball, bouncing unpredictably without scoring points (and possibly getting flattened).   We […]

Knowledge work frequently leaves us feeling like we’ve been navigating a particularly complex train system without the benefit of a smartphone.  Instead of looking for information in one place, we’re bouncing between Slack, SharePoint, email, CRM tools, databases, and countless browser tabs. Information isn’t just scattered across silos of data—it’s scattered across silos of interfaces, […]

It’s no secret in the world of enterprise software that what doesn’t scale doesn’t work. When software doesn’t scale, performance degrades rapidly as usage increases. The catch is knowing when something doesn’t scale and that’s not always immediately obvious.  The problem here is that individual solutions can scale but when you put enough individual solutions […]

It’s time to stop searching in a foreign language. Working with computers forces people to think like a computer and communicate in a language the computer understands. Although keyword-based queries are a big step up from writing code, they are awkward, often require playing “guess the keyword,” and still frequently miss the mark. They’re still […]

AI is evolving at an unprecedented pace. Every few months, a new model emerges—faster, smarter, more specialized than the last. Businesses that lock themselves into a single AI provider today risk being outdated tomorrow.  Yet, many AI search and analytics platforms force customers into using a specific model, often one controlled by the platform vendor. […]

The promise of enterprise search was simple: type a query, get what you need, and move on with your work. The reality? Endless results, duplicate documents, buried insights, and hours of sifting through data just to find a single relevant answer.  Enterprise search isn’t just broken—it’s outdated. The sheer volume of unstructured data inside companies […]

When the President needs advice, he has his Cabinet, his Council of Economic Advisors, the Joint Chiefs, and so on (I wouldn’t be surprised to learn there’s an advisory council to identify advisory councils). Similarly, CEO’s have boards they can go to for advice or to brainstorm ideas. A reliable, available council of advisors is […]

The hardest thing about finding internal enterprise information is that the number of places we need to look multiply like rabbits.  Effective decision making requires not just up-to-date information, but information in context. That context is often buried in an organization’s data, scattered across multiple information silos. While it’s easy enough to find the white […]

How do you feel about turning your data over to someone else? What happens if that company gets acquired or goes out of business? What happens if there’s a data breach?  AI search has the power to transform how businesses find, retrieve, and use information—but only if it’s built the right way. Many AI search […]

AI search is simultaneously transforming how enterprises access internal information and demonstrating that there is nothing new under the sun. Balancing accessibility with security is an age-old problem which AI search throws into sharp relief.  Enterprises handle multiple types of sensitive data—contracts, financial records, customer data, and internal communications. A search solution that fails to […]

Enterprises can harness AI without compromising data security. Open-source AI models now rival proprietary performance, enabling secure, on-premises hosting to prevent leaks. SWIRL seamlessly integrates these models with enterprise data, ensuring compliance, real-time insights, and app connectivity—all within your firewall. Eliminate cloud risks and vendor lock-in. Discover SWIRL’s secure AI solutions with a 30-day free trial or demo.

SWIRL’s new Quantum AI Search feature takes advantage of emergent properties of AI to dramatically expand the range of data sources that it can simultaneously search in response to a user query.

Data democratization—empowering every team member to access, analyze, and act on data—remains elusive due to silos, literacy gaps, and security risks. AI could help, but traditional approaches demand costly data migration. Enter SWIRL, an AI framework that queries data in place, integrates with security protocols, and bridges the literacy gap. No more scavenger hunts—just actionable insights.

Tired of sifting through noisy search results? SWIRL’s context-aware AI search eliminates the clutter by understanding intent, business relevance, and user history to deliver precise insights. Cut through outdated files, redundant docs, and irrelevant data—find answers faster, accelerate decisions, and boost productivity. Transform enterprise search with AI-driven relevance. Get your free SWIRL demo today!

Struggling with fragmented data across emails, docs, and apps? SWIRL’s AI-powered search unifies disconnected enterprise sources, delivering instant answers via natural language queries. Seamlessly connect 100+ apps, leverage 30+ AI models, and access insights securely—no coding required. Eliminate data silos, reduce manual searches, and empower teams with real-time, context-rich analytics. Transform scattered data into actionable intelligence effortlessly. Try SWIRL’s free 30-day demo and revolutionize your workflow today!

Stop AI data leaks! Generative AI’s lack of contextual understanding risks exposing sensitive info. SWIRL offers a secure solution: AI-powered search without centralizing data. With Zero ETL, vectorless RAG, and on-premises operation, SWIRL keeps data in place, integrates with your security, and prevents leaks. Harness AI insights safely—no breaches, no sync hassles. Request a demo to secure your AI today!

In today’s fast-paced markets, agility hinges on rapid, data-driven decisions. Traditional search tools fall short, drowning teams in fragmented data. AI-powered platforms like SWIRL transform search into decision engines—integrating apps, analyzing unstructured data, and surfacing insights instantly. By automating context-aware analysis and eliminating manual searches, businesses cut through noise to act faster. From risk alerts to strategic pivots, AI search turns information overload into competitive advantage. Stop searching. Start deciding.

Tired of AI search mishaps like glue on pizza? SWIRL’s confidence-based ranking scores results, prioritizing reliable sources. Set custom thresholds to filter noise, ensure compliance, and eliminate AI hallucinations. Get precise answers with summaries drawn only from high-confidence data. Transform chaotic searches into actionable insights—control accuracy, boost productivity, and trust every result. Elevate your enterprise with SWIRL’s smarter, secure AI-powered solution.

Unlock hidden insights in enterprise data with Chain-of-Thought (CoT) AI. SWIRL integrates advanced models like DeepSeek and Gemini, enabling step-by-step reasoning to uncover patterns, drive innovation, and improve decisions. With secure, real-time access and zero data movement, SWIRL turns siloed data into strategic assets. Transform raw information into actionable intelligence and gain a competitive edge—no complex integrations or compliance risks. Discover the future of AI-driven business insights.

SWIRL Recognized for Innovation in AI-Powered Knowledge Management 

AI is revolutionizing enterprise data discovery in 2025, making insights instantly accessible without moving or duplicating data. SWIRL’s AI-driven platform connects to enterprise content securely, delivering real-time, domain-specific insights while ensuring compliance. Say goodbye to slow searches and data silos—unlock faster, smarter decision-making. Ready to transform how you find information? Schedule a demo today.

AI-powered search in 2025 goes beyond simple queries—it delivers precise, real-time insights without moving or exposing data. Context-aware search, generative AI interactions, and compliance-focused security redefine enterprise search, accelerating decision-making and boosting productivity. Discover how SWIRL is leading this shift with permission-aware, real-time search that fits seamlessly into your workflow. Schedule a demo today!

Unlock the power of AI while keeping your data secure with SWIRL. On-premises AI lets businesses harness advanced AI models without external dependencies. SWIRL connects seamlessly to your enterprise data—no complex ETL required—enabling real-time AI-powered search and conversational insights. Discover how SWIRL makes AI work for you, securely and efficiently.

The modern enterprise is drowning in data. Every email, document, Slack message, database entry, and meeting transcript adds to the flood of new information. Yet, when it comes time to retrieve that information, we struggle to find what we’re looking for. Traditional web search assumes that data  is optimized to be found, but what if […]

SQL has been the language of database access since time immemorial, which, in computer industry terms, means since the 1970s. Like the story of Babel, SQL has divided into numerous dialects, each one subtly different from the others. PostgreSQL, MySQL, SQL Server, Oracle—each has its own rules, syntax, and quirks. Getting the data you need […]

Discover how Zero ETL AI Search revolutionizes enterprise data access by eliminating cumbersome ETL pipelines. Overcome data silos, security risks, and delays with solutions like SWIRL AI Search, which delivers real-time insights without data movement. Leveraging RAG technology, SWIRL ensures secure, compliant searches across 100+ sources, eradicating data duplication. Embrace the future where AI searches data in place—accelerating insights, reducing costs, and simplifying complexity. Transform your organization with hassle-free, AI-powered efficiency today.

Discover how Zero Trust Security revolutionizes AI Search by securing data at its source. Traditional methods risk exposure through data movement; SWIRL AI enforces Zero Trust without ETL, accessing 100+ sources (databases, email, Slack) while ensuring compliance. Minimize breaches, control access, and generate insights within your security perimeter. In evolving cyber threats, SWIRL proves secure AI search isn’t optional—enhance capabilities safely. Explore SWIRL’s Zero Trust approach to protect data and elevate enterprise search.

Tired of sifting through irrelevant search results? SWIRL’s AI-powered re-ranking uses advanced algorithms and contextual analysis to surface the most relevant answers. By understanding query intent, SWIRL cuts through noise, saving users 7.5 hours weekly. Integrating 100+ data sources, it eliminates duplicates and streamlines workflows. Experience faster decisions, reduced search fatigue, and a reclaimed workday. Discover how SWIRL’s intelligent re-ranking boosts productivity.

Leading companies like Google and OpenAI leverage AI summaries to streamline searches, saving 8+ hours weekly. Traditional methods—scattered tabs and app-switching—waste time and delay decisions. The solution merges AI search (intent understanding, re-ranking, RAG) to deliver precise, hallucination-free summaries. SWIRL exemplifies this, connecting data sources securely on-premises and generating actionable insights, boosting productivity by 40%. Transform workflows with AI-powered efficiency—explore SWIRL’s 30-day enterprise trial to reclaim time and focus.

Ambiguity in language can lead to inaccurate search results, wasting time and reducing productivity. Unlike humor, where ambiguity entertains, in business it causes frustration as AI struggles to grasp intent. AI Search tools like SWIRL overcome this by understanding context through query rewriting and interactive qualification, ensuring precise, relevant information retrieval and enhancing efficiency in data searches.

Internal data is scattered across multiple platforms like emails, Slack, and databases, making retrieval time-consuming and costly. AI Search for internal data streamlines access by intelligently navigating these diverse sources. This enhances productivity, eliminates frustrating data hunts, and ensures knowledge workers can efficiently find and utilize critical information, ultimately saving valuable work time and resources.

Discover how SWIRL’s Zero ETL AI search revolutionizes data retrieval without moving your data. Keep your information secure, avoid costly uploads, and leverage AI where your data resides—locally or in the cloud. End the data scavenger hunt safely and efficiently.

Scaling AI across an enterprise is no small feat, with challenges like data fragmentation, inconsistent AI performance, and lack of cross-functional collaboration standing in the way. These obstacles hinder innovation and prevent AI from reaching its full potential. SWIRL addresses these issues with groundbreaking solutions like metasearch, vectorless RAG, and seamless integration with enterprise systems. By breaking down data silos, ensuring consistent AI performance, and fostering collaboration, SWIRL empowers organizations to unlock the transformative power of AI.

Data silos hinder organizations by isolating critical information across systems, making access costly and complex. Traditional solutions rely on duplicating data, creating security risks and escalating expenses. A better approach connects to data where it resides, enabling secure, real-time insights without movement or duplication. Discover how this can transform decision-making.

Meeting prep shouldn’t drain your time—or your patience. AI search tools like SWIRL streamline the process, cutting through scattered emails, Slack threads, and files to deliver what you need instantly. No data uploads, no compromises on security. Reclaim your time and stay focused with AI-powered insights tailored to your workflow

AI isn’t like traditional software. It learns, adapts, and interacts with massive amounts of data. In this article we explore how to secure AI in the enterprise

Search box.com without moving any data out of the box. Securely with SWIRL

Information overload wrecks our focus and decision-making long before burnout hits. AI can break this vicious cycle—but only with the right fulcrum. SWIRL is that fulcrum, leveraging AI to reduce overload, enhance relevancy, and magnify your cognitive strength, so you get more done in less time.

As our daily information consumption skyrockets from 10 to 150 pages, professionals across medicine, law, and other fields are drowning in data. The consequences? Critical details missed in patient records, overlooked legal precedents, and that frustrating moment when you can’t remember what you just read moments ago. While AI promises to help manage this information overload, standard solutions come with their own risks. But what if there was a smarter way to bring AI to your data?

In today’s fast-paced business world, decision-making needs to be quicker, smarter, and more precise. Data-driven decision-making (DDDM) has become essential for organizations seeking to make strategic choices rooted in accurate, actionable insights rather than intuition. Leveraging data to guide business decisions not only helps companies remain competitive but also enables them to adapt quickly to market changes and customer needs. This article explores how AI enhances DDDM and where SWIRL, an AI-driven search and decision support tool, is crucial in driving business success.

The SWIRL team is thrilled to release the SWIRL AI Connect 3.9, Community Edition, a significant upgrade that enhances functionality, user experience, and compatibility.  

In the modern enterprise, productivity is hindered by time spent gathering data instead of analyzing it, especially as AI raises new concerns about private data security. SWIRL offers a groundbreaking solution with privacy-first, federated search that transforms how organizations access insights. Instead of centralizing data, SWIRL brings AI to existing repositories, ensuring secure, contextual understanding across public, private, paid, and personal data. By respecting data sovereignty and eliminating siloed information, SWIRL empowers knowledge workers to truly focus on analysis. Discover how SWIRL redefines productivity in the age of secure AI.

Tools are labor saving devices. From washing machines, dishwashers, stoves, calculators, computers, and, of course, coffee makers, we’re surrounded by gadgets whose function in our lives is to make it easier for us to get things done quickly, easily, and more effectively.   Some of these tools replace annoying or difficult physical labor (ever wash clothes […]

You’ve got questions—like “How do I configure VPN on my Mac?” or “How do I order a mobile device?” But the answers might be spread across ServiceNow, Teams, or somewhere on the web. What you need is one search that delivers exactly what you’re looking for, not a scavenger hunt through dozens of systems. That’s […]

Facing information overload? Today’s worker processes up to 150 pages daily, leading to burnout. SWIRL brings AI to all your data sources—securely and without duplication—to surface only the insights you need. Cut through the noise, simplify your workload, and reclaim productivity. Contact SWIRL today to end the data scavenger hunt.

Many AI products today offer bots that answer questions “from a PDF.” The demo looks great. The LLM quickly answers questions. But what happens when you want to answer more than a few simple questions?

While Large Language Models (LLMs) impressively mimic human intelligence through conversation and creative ideation, their lack of true consciousness and self-awareness can lead to frustrating user experiences. Unlike human interactions, AI often misses context and produces hallucinations, making it challenging for non-programmers to harness its full potential.

All data is not created equal. As the amount of data increases exponentially, knowledge workers find themselves overwhelmed with data, struggling to find the useful nuggets they need.

RAG creates boundaries so that the AI cannot wander off into chaos or start exploring some other reality at your expense. Rather than wandering the universe of all possible answers, RAG limits the AI to reality: no imaginary court cases in your list of precedents, no imaginary customers in the report to senior management, etc.  

Search, or the fine art of finding what we’re looking for, is only partially solved. We need to enhance search with AI to get the answers we need.

We are excited to announce the release of SWIRL 3.8, packed with new features, user-requested improvements, and performance upgrades to enhance your AI and search experience.

AI agents are tools that use AI to respond to their environment and take actions based on what they “perceive.” AI agents present a powerful method for businesses to automate strategy, harnessing AI to identify patterns and respond to changing market conditions more rapidly and more accurately.

Unlock the power of AI in research with SWIRL’s innovative infrastructure. Learn how to accelerate your research process, improve data management, and enhance search capabilities while maintaining data security. Discover how AI can become your personal research assistant, ending the data scavenger hunt and boosting productivity.

Discover how AI infrastructure software enhances research efficiency, allowing more time for creative work. Learn about key features like universal connectivity, AI flexibility, and advanced metasearch capabilities that transform AI into a powerful assistant for academics and researchers.

Discover how AI Infrastructure Software transforms a Mixture of Experts into a personal AI Advisory Board. Learn to harness multiple AI models for personalized advice, enhanced decision-making, and efficient information processing. Explore the power of AI-driven expertise without the chaos of managing multiple language models.

Discover how to effectively increase productivity with AI using strategies like the Centaur and Cyborg approaches, and learn why AI Infrastructure Software is crucial for overcoming common AI challenges in business operations.

Discover how AI infrastructure software can revolutionize data-driven product development. Learn about universal connectivity, AI flexibility, and powerful search capabilities that enable businesses to efficiently turn data into valuable products. Explore SWIRL’s innovative approach to AI integration and its benefits for decision-making, efficiency, and time-to-market.

Discover the key differences between unified search, metasearch, and federated search engines. Learn how each search technology works, their benefits, and when to use them for optimal information retrieval

Discover 5 ethical ways to leverage AI in academic work from a former psychology professor. Learn how AI can enhance research, writing, and citation processes without compromising academic integrity. Perfect for students and researchers looking to boost productivity and quality in their academic pursuits.

Discover how AI infrastructure software revolutionizes course catalog searches, simplifying class registration and enhancing student-advisor interactions. Learn how advanced search capabilities and AI-powered insights can streamline the course selection process and improve academic planning.

Discover how unified search solutions revolutionize enterprise knowledge management, boosting productivity and streamlining information access. Learn key benefits, overcome implementation challenges, and unlock your organization’s full potential with advanced search technologies.

AI is transforming library research by automating resource discovery, enhancing semantic search, and providing personalized recommendations. Through natural language processing and machine learning, AI tools can quickly analyze vast databases, extract key insights, and connect related concepts across disciplines. Discover how these intelligent systems are revolutionizing academic research, making it faster, more comprehensive, and tailored to individual needs.

AI models need enormous amounts of data to learn and generate accurate outputs. This data hunger comes with significant privacy and security risks that companies must address proactively. To safeguard personal information within training data, companies must implement robust protection measures such as data anonymization, de-identification techniques, and more advanced approaches like differential privacy.

Data silos hinder AI adoption in retail, with 70% of organizations missing opportunities due to integration challenges. Bringing AI to the data, rather than data to AI, offers a secure solution. AI infrastructure software like SWIRL AI Connect enables universal connectivity, AI flexibility, and powerful unified search to maximize AI’s potential in retail.

SWIRL changes information retrieval by integrating advanced search capabilities with generative AI. Unlike traditional approaches that require costly data duplication, SWIRL allows users to access information across multiple platforms without moving data. This innovative solution enhances productivity, reduces AI hallucinations, and offers a cost-effective way for businesses to leverage AI technology while maintaining data security and efficiency.

AI is changing how businesses work, helping them predict trends, automate tasks, and boost productivity. From small startups to big companies, AI is creating new opportunities and reshaping the future of work.

AI infrastructure software is vital for long-term, scalable AI projects, providing control over generative AI, machine learning, and deep learning models. SWIRL AI Connect offers a comprehensive solution for AI infrastructure, combining ease of access to data with security, scalability, and the ability to monitor and maintain AI systems. SWIRL AI Co-Pilot further enhances this by providing intelligent assistance to business users, enabling seamless interaction with data and incorporating metasearch and RAG.

Discover how Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) are transforming business research by providing real-time insights and automating workflows. And help break data siloes.

Integrating Generative AI into enterprises presents transformative opportunities and significant challenges. While it promises enhanced productivity and accelerated decision-making, enterprises must address data integration, security, and scalability issues. By investing in robust training, governance frameworks, and scalable architecture, businesses can successfully harness GAI’s potential to drive innovation and growth.

Discover how generative AI can transform your business with SWIRL AI Connect. Learn to harness AI securely and responsibly, enhancing productivity and decision-making without extensive data migration. Embrace AI advancements with minimal IT involvement and maximize your enterprise’s potential.

Finding data can feel like an episode of the X-Files. The truth is out there, but no matter how much you search it’s always just out of reach.  

SWIRL transforms enterprise AI adoption with its AI Co-Pilot and AI Connect, offering secure, user-friendly solutions that integrate seamlessly with existing systems. By eliminating data duplication risks and simplifying AI interactions, SWIRL empowers businesses to harness AI’s full potential while maintaining data security and regulatory compliance.

What Does SWIRL Do? This post dives in with the philosophy behind SWIRL. What we hear from others very often is and what we offer.

AI surely is shaking things up in the business tech world. It’s changing how companies use their digital tools and could transform the way we work. Will AI mean the end of applications as we know them?

In the rapidly evolving landscape of modern business, artificial intelligence (AI) is both a beacon of progress and a source of apprehension. As AI technologies continue to advance, they promise unprecedented efficiency and innovation. Read the post to know more …

SWIRL Co-Pilot transforms how big businesses use Retrieval-Augmented Generation (RAG). It addresses major enterprise challenges like scattered data, strict security needs, and complex information structures. Acting as a smart assistant, SWIRL Co-Pilot securely searches all company data, understands company-specific language, and provides quick, relevant answers. It saves time, reduces errors, keeps data safe, and integrates with existing systems. With SWIRL Co-Pilot, companies can unlock the full potential of their data while maintaining security and efficiency.

Introducing SWIRL AI Co-Pilot: Your new smart assistant that understands your data and saves you time, revolutionizing enterprise AI adoption. Experience our lightning-fast, real-time system that keeps your data secure and easily accessible – no slow databases or data copying required.

In today’s fast-paced business environment, SWIRL AI Connect revolutionizes decision-making with real-time data insights. By eliminating the need for complex data movement, it provides accurate, agile, and proactive problem-solving capabilities. Discover how SWIRL AI Connect enhances decision-making with its intelligent, context-aware assistant.

As enterprises grapple with the complexities of scaling AI initiatives, SWIRL AI Connect emerges as a transformative solution. By addressing the core challenges of data fragmentation, inconsistent model performance, and lack of collaboration, the platform paves the way for a new era of AI-driven innovation.

Generative AI (GAI) has moved from hype to skepticism as organizations struggle to find practical applications and face challenges with data integration and security. Understanding GAI as a productivity tool rather than a predictive one is crucial for success. SWIRL AI Co-Pilot addresses these issues by providing seamless data integration, robust security, and contextual awareness, turning GAI into an intelligent assistant that enhances productivity and decision-making.

Meta-ranking and re-ranking are transforming search engines. Re-ranking refines initial results by analyzing relevance and user context, ensuring the most useful information rises to the top. Meta-ranking combines results from multiple sources into a unified list, balancing different ranking systems for better outcomes. Together, they enhance personalization and relevance, helping users find the most pertinent information.

Metasearch engines streamline online searches by querying multiple search engines simultaneously and aggregating the results. This comprehensive approach saves time, enhances privacy, and offers more diverse results than traditional search engines. As digital information continues to expand, metasearch engines become increasingly essential for efficient and thorough searches.

The best thing about a Generative AI is that it will answer your questions. The worst thing about Generative AI is that it will answer your questions. Ai models create an illusion of context, but they don’t really understand context. Because of that lack of understanding, an AI will leak data in response to a carefully formulated query.

AI is particularly good at reducing the time spent finding and understanding data. Assuming, of course, that what the AI returns can be trusted – This article sheds light into how AI can improve motivation.

This post delves into why SWIRL Co-Pilot is the right product, arriving at the right time and perfectly positioned in the right place for transformative enterprise growth.

SWIRL Co-Pilot offers a groundbreaking solution for large, regulated enterprises to overcome generative AI security and compliance hurdles. By keeping data in its original system and simplifying access control, SWIRL enables organizations to harness AI’s power while maintaining data security and regulatory compliance.

Uncover the critical security challenges enterprises face when adopting generative AI, from data privacy to model safety. Explore real-world case studies and learn effective risk mitigation strategies. Gain actionable insights for balancing AI innovation with robust security in your organization.

In this post I want to share my thoughts on the MIT Imagination in Action conference. This was an invaluable opportunity that I highly recommend every founder take advantage of. 

Post-merger data integration is crucial for financial institutions. SWIRL AI Connect streamlines this by using AI to efficiently search, analyze, and retrieve data without extensive ETL processes, enhancing data accessibility and security during banking mergers and acquisitions.

AI is revolutionizing financial services, but there are genuine risks to data security and decision accuracy. To maximize effectiveness, AI systems need access to sensitive data. Read to learn about maximizing benefits of AI.

Financial institutions are increasingly using AI to manage risk by identifying patterns and trends early. However, effective AI deployment requires large amounts of current data and seamless integration into existing systems to avoid issues such as data breaches and synchronization challenges. Addressing these hurdles is crucial for maximizing AI’s benefits in risk management.

Banks can benefit from artificial intelligence (AI), provided they can keep their data secure and trust what the AI tells them. AI has the potential to revolutionize the banking industry by streamlining processes, improving customer experience, and providing valuable insights.

The Google Gemini RAG incident highlights the urgent need for enterprise AI safety and trust. By prioritizing responsible AI development and governance, businesses can mitigate risks and harness AI’s full potential.

Knowledge workers have access to more data than ever. Yet answering even a simple question can turn into a data scavenger hunt that consumes days or weeks of valuable time.

Companies should be wary of relying on single, centralized data repositories like vector databases for RAG, as this introduces significant risks and challenges that must be carefully considered and addressed. In this post we share light onto those risks of over relying on vector databases and more.

AI infrastructure software is essential for deploying on-premises AI solutions. And in this post, we discuss the possibilities of SWIRL AI Connect and how it can enable you to

While foundational in many data management strategies, the ETL process involves transferring large amounts of data into a centralized store. This operation is both resource-intensive and costly, as it requires substantial computational and storage capabilities. And in this article we discuss the case against ETL systems, in AI Architectures.

The adoption of AI in the enterprise is not without its challenges. As organizations rush to integrate AI into their operations, they often overlook critical aspects that can lead to significant risks, and this is why we have to focus on a set of principles that will dictate the next generation of AI apps in the enterprise.

SWIRL AI Connect allows for instant deployment of AI Models. In this post, Sid tries out Llama 3 with SWIRL.

A Reader Large Language Model (LLM) is an AI designed to understand and analyze text. Unlike LLMs that generate text, Reader LLMs focus on reading and making sense of existing language.

AI Infrastructure Software is an umbrella term for a software infrastructure that seamlessly integrates AI capabilities while prioritizing security, safety, and access control. It operates as a middle layer between data, AI infrastructure, and large language models (LLMs), ensuring that end-users can harness the power of AI without compromising data security or compliance.

SWIRL is moving towards bringing AI to the data instead of data to the AI. Breaking conventional barriers and utilizing Reader LLMs and eliminating the need for extensive data movement, SWIRL enables enterprises to generate valuable AI insights without complex IT projects.

Discover how SWIRL AI Connect can help your business stay ahead of the curve in the ever-evolving world of artificial intelligence. With cutting-edge capabilities and a focus on data-driven decision-making, this advanced infrastructure is the key to unlocking new levels of efficiency, innovation, and customer satisfaction.

Improve your organization’s knowledge flow with these 5 essential knowledge management strategies. Optimize information access and foster a knowledge-sharing culture

Discover how to implement generative AI for increased efficiency and innovation, while ensuring security. Learn about use cases, best practices, and how Swirl can help.

In this post, Simson explains what a vector database is and why Dr. Low’s article on Vector Database says you don’t need one and provides context to Dr. Low’s answer.

Dive into the fascinating world of Large Language Models (LLMs) and uncover the science behind these powerful AI systems that can generate human-like text and even create images. Explore their evolution, inner workings, and the potential they hold for the future.

Cosine similarity is a metric that measures how similar two entities (vectors) are irrespective of their size. Commonly used in high-dimensional positive spaces, it can be helpful in various applications, including data analysis, information retrieval, and understanding the relationship between documents in text processing.

Generative AI promises to revolutionize enterprise search, empowering organizations to extract critical insights, foster innovation, and optimize decision-making.

Critical information resides in far-flung corners: structured databases, departmental silos, and scattered unstructured files. While this data holds immense potential, discovering the right insights often requires a tedious process of piecing together fragments from various sources.

The concepts of Generative AI, Machine Learning, and Deep Learning are fueling an explosion of exciting possibilities, yet some need for clarification about how they relate and differ may persist. Let’s break down these powerful branches of AI to get a clearer picture.

Knowledge management (KM) is the process of creating, sharing, using, and managing the knowledge and information of an organization. It refers to a multidisciplinary approach to achieving organizational objectives using the best knowledge.

Semantic similarity measures how similar two pieces of text are in meaning rather than just the words used. It is a branch of artificial intelligence and natural language processing that deals with understanding the meaning of words and phrases.

A data silo refers to a repository of data controlled by a particular department, team, or system within an organization.

The sheer volume of online data necessitates precision in search results. Search relevancy is the essential tool that filters through the informational deluge, presenting users with the most accurate and applicable content.

A search index is a data structure that improves the speed of data retrieval operations on a database by providing quick lookups to the data records.

A vector database stores numerical representations of texts, images, and videos.

Cloud computing has undeniably transformed the way organizations approach IT infrastructure. Among the prevalent cloud models, private clouds (internal or corporate clouds) are rapidly gaining traction due to their emphasis on security, control, and customization. This article delves into the fundamentals of private cloud computing, its architectural components, advantages, drawbacks, various types, use cases, and comparisons with other deployment models.

Enterprise search involves creating a massive, unified index of your organization’s data. This index is a comprehensive library catalog, encompassing everything from documents on file servers to email archives and customer records. When a user queries, the enterprise search engine consults this index for results.

Machine learning (ML), a transformative branch of artificial intelligence, has transitioned from theoretical realms to real-world impact across industries. Instead of rigid rules, machines learn from examples and data to find patterns on their own.