SWIRL

🔵 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐧𝐠 𝐆𝐨𝐨𝐠𝐥𝐞 𝐑𝐚𝐧𝐤𝐢𝐧𝐠 𝐯𝐬 𝐒𝐖𝐈𝐑𝐋 𝐑𝐚𝐧𝐤𝐢𝐧𝐠 🔵 We're excited to share a snapshot of SWIRL’s search ranking against Google's search results ranking! 🔍 𝐓𝐞𝐬𝐭 𝐐𝐮𝐞𝐫𝐲: "𝐫𝐞𝐝 𝐡𝐚𝐭 𝐚𝐜𝐪𝐮𝐢𝐫𝐞𝐬" While Google provides broad and good results, SWIRL specializes in understanding the context of your query to bring you the most relevant information. This is visible in the video below, where SWIRL understands queries and provides you with the actual result that you want. You search for “Red hat acquires,” and you get 𝗕𝗘𝗧𝗧𝗘𝗥 results than Google. In private environments, this becomes more useful when you want to search and get the best answers from your internal data sources. Making your internal data sources more accessible. 🌟 Why SWIRL? 🔹𝑻𝒂𝒊𝒍𝒐𝒓𝒆𝒅 𝑹𝒆𝒔𝒖𝒍𝒕𝒔: SWIRL understands your queries within the context of your internal data, ensuring that you always have the most accurate and up-to-date information at your fingertips. 🔹𝑬𝒇𝒇𝒊𝒄𝒊𝒆𝒏𝒕 𝑺𝒆𝒂𝒓𝒄𝒉𝒆𝒔: Our technology sifts through vast amounts of data to provide you with the best possible outcomes, saving you time and boosting productivity without any ETL (Extract, Transform, and Load) operation or Re-Indexing.  🔹𝑺𝒆𝒄𝒖𝒓𝒆 𝒂𝒏𝒅 𝑺𝒂𝒇𝒆:  We understand the security risks that come with moving data into a singular data repository. Therefore, we operate with the principles of granular access, data compliance, and operating within your company firewall. Read More about SWIRL here: https://lnkd.in/gxhZUJMS Book a call with us to get started: https://lnkd.in/ghEvGUGU. #google #SWIRL #ai #llms

𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲: 𝗣𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 AI Infrastructure Software is software that brings AI capabilities to data instead of the other way around. This method helps to keep data secure, allows organizations to use their existing data infrastructure, and can be used to comply with regulations. ⭐️ Here are some of the benefits of using AI Infrastructure Software: 🔸Improved data security: AI Infrastructure Software keeps data secure by keeping it on-premises. This helps to protect data from breaches and cyberattacks. 🔸 Reduced costs: AI Infrastructure Software can help organizations reduce costs by using their existing data infrastructure. This eliminates the need to purchase new hardware and software. 🔸 Increased efficiency: AI Infrastructure Software can help organizations increase efficiency by automating tasks. This frees up employees to focus on more important work. 🔸 Improved compliance: AI Infrastructure Software can help organizations comply with regulations by providing data governance and security tools. AI Infrastructure Software has the potential to change how we use AI. It can help organizations develop and deploy AI applications that were impossible before by providing a secure and efficient way to use AI. Read this post to know more: https://buff.ly/4agphNH

We are thrilled to welcome Doug Levin to SWIRL's Board of Directors. Doug is a seasoned technology and business leader with extensive AI, cybersecurity, digital fraud detection, and blockchain expertise. His impressive career includes board positions at ReversingLabs, FiVerity, and SmartOne, as well as advisory roles at Resec and Dowsers. He is currently an Executive Fellow at the Harvard Business School. Doug's entrepreneurial spirit and leadership prowess are evident as the sole founder and first CEO of Black Duck Software (acquired by Synopsys). His innovative approach revolutionized open-source software compliance and security, leaving a lasting impact on the industry. He has also successfully led two other startups in the Boston area to acquisitions by public companies. In the early stages of his career, Doug held senior positions at Microsoft and was a member of the original Apple Macintosh development team. Doug's deep knowledge and strategic insights will be invaluable as SWIRL innovates and grows. We are excited to have him on board!

Did you know AI isn't just about generating new text? Reader LLMs excel at understanding existing language, summarizing documents, answering queries, and identifying key sentiments or topics. 📖 Understanding Text: Unlike text-generating LLMs, Reader LLMs focus on reading and making sense of existing language. They are not about writing; they are about comprehending and analyzing. Specialized Capabilities: 🔸Similarity checks: Determine text relevancy across different lengths, languages, or syntaxes. 🔸Re-ranking: Identify which results from a search are most pertinent. 🔸Passage detection: Find key sections in documents relevant to queries. 🔸NLP tasks: Detect entities, key phrases, or sentiments. 🚫✨ Accuracy Without Imagination: Reader LLMs don’t “hallucinate”—they stick to the text given, adding no new meanings or facts, thus maintaining high accuracy based on their training data. They're fundamental to enhancing RAG systems and ensuring fresh and authoritative results. SWIRL leverages Reader LLMs to grasp the context deeply, delivering answers with greater relevance and accuracy than traditional search engines like Google. This advanced approach ensures users receive the most precise information quickly. Check out the video for more information: buff.ly/3JQEhH8 #Google #SWIRL #SearchResults #LLMs #AI #Enterprise

🚀 𝗥𝗲𝘃𝗮𝗺𝗽𝗶𝗻𝗴 𝗔𝗜'𝘀 𝗗𝗮𝘁𝗮 𝗕𝗮𝗰𝗸𝗯𝗼𝗻𝗲: 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗘𝗧𝗟 𝗯𝘆 𝗕𝗿𝗶𝗻𝗴𝗶𝗻𝗴 𝗔𝗜 𝘁𝗼 𝘁𝗵𝗲 𝗗𝗮𝘁𝗮 🔍 AI & Data: Data is the foundation of AI. Let's innovate beyond the traditional Extract, Transform, and Load (ETL) methods. 𝗪𝗵𝘆 𝗥𝗲𝘁𝗵𝗶𝗻𝗸 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗘𝗧𝗟? 🔄 Costly & Complex: ETL transfers vast data to centralized stores, doubling costs and increasing complexity. 🛡️ Security Risk: Centralizing data heightens breach risks, especially with mismanaged access controls. ❌ Inefficiency: Loading massive datasets doesn't necessarily improve AI's ability to target relevant data. 𝗦𝗪𝗜𝗥𝗟’𝘀 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: 📊 Smarter Data Use: We use a Reader Language Model (LLM) to re-rank data, ensuring only pertinent info is used. ✅ Proven Efficiency: Studies show that re-ranking existing search results outperforms traditional ETL. Key Takeaway: Query, Don’t Load or ‘𝗕𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗜 𝘁𝗼 𝘁𝗵𝗲 𝗗𝗮𝘁𝗮’ 📉 Reduce Risks & Costs: Avoid hefty ETL processes; opt for querying and re-ranking directly. 🔍 Boost Precision: Enhance AI's relevance and output quality without extra data burden. 🌟 Shift to a streamlined, secure AI data integration today! Let's pave the way for a smarter, safer AI future. Read more: buff.ly/4dIzSE2 #AI #SWIRL #Innovation #NoETL #LLM

"Bring the AI to the data, not the data to the AI." ~ This will be the approach for the next generation of AI applications. They'll operate from within firewalls, air-gapped and securely. Swirl is working on building this. Learn more, join our Slack community, and ping our team. 🔗 go.swirl.today/slack Let's build AI Infrastructure for your team and organization.

Join us at the Data Summit in Boston to hear from our CEO, Sid Probstein, about the future of AI in the enterprise.🚀 We're thrilled to announce that Sid will speak at Data Summit, Boston, on May 9th at 2:00 PM! He'll delve into metasearch's impact on how businesses leverage AI and discuss building a new generation of AI Applications with data, security, and search in mind. If you're in Boston, Don't miss this insightful session. #AI #metasearch #EnterpriseAI #DataSummit #SWIRL #AIInfrastructure

𝐈𝐬 𝐲𝐨𝐮𝐫 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐫𝐞𝐚𝐝𝐲 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞❓ 𝐇𝐞𝐫𝐞'𝐬 𝐭𝐡𝐞 𝐛𝐥𝐮𝐞𝐩𝐫𝐢𝐧𝐭 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝. 👇 The future of enterprise AI is here, and it demands a new approach. Are you ready to transform how AI powers your business? 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Traditional AI systems often struggle with efficiency, security, and scalability. We need a more intelligent way to integrate AI seamlessly. 𝐖𝐡𝐚𝐭’𝐬 𝐚𝐭 𝐑𝐢𝐬𝐤 𝐰𝐢𝐭𝐡 𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐬? Often, these models centralize data, heightening the risk of breaches and complicating compliance with privacy regulations. Our method mitigates these risks by decentralizing storage and enforcing stringent access controls. 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐰𝐞’𝐫𝐞 𝐝𝐨𝐢𝐧𝐠 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐥𝐲 𝐚𝐭 𝐒𝐖𝐈𝐑𝐋: 🔸Data-centric AI: Protect your assets by bringing AI to the data, not vice versa. 🔸Zero-trust security: AI needs access and protection. Extend zero-trust principles for maximum safety. 🔸Rapid AI deployment: Deploy AI apps within your firewall, scale on demand, and minimize coding hurdles. 𝐓𝐡𝐞 𝐒𝐖𝐈𝐑𝐋 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞: By tackling these challenges directly, SWIRL provides a secure, scalable, and cost-effective foundation for your AI initiatives. It's time to move past the limitations of outdated infrastructures and adopt a system that meets the needs of today’s data-driven marketplace. Check the comment for more information. ℹ️ #ai #aiinfrastructure #SWIRL #search

Check out Sid Probstein's take on Search, LLMs and RAG below...