🔮 Curious about the AI trends in 2025? Our VP of Research ML, Nikolaos Vasiloglou is sharing his expert insights in Solutions Review’s “The Definitive Guide to Artificial Intelligence Predictions for 2025.” Nikolaos explores the transition from on-premises to cloud-native AI, highlighting how cost reductions are making large language model (LLM) workloads more accessible. 📄 Read the full guide: https://hubs.li/Q030j1hk0
RelationalAI
Software Development
Berkeley, California 7,979 followers
The industry’s first Relational Knowledge Graph Coprocessor for your Data Cloud.
About us
Our Company Headquartered in Berkeley, California, RelationalAI is the industry’s first relational knowledge graph coprocessor for data clouds, streamlining and enhancing decision-making across organizations. Our mission at RelationalAI is to power every decision with intelligence by bringing business knowledge and logic closer to your data. Our Team Our remote-first team is globally distributed across 26 countries, comprising over 160 professionals, including more than 100 engineers and data scientists, and over 50 PhDs. Our collective expertise spans AI, machine learning, databases, languages, and operations research. To date, we have earned over 35 research awards, underscoring our commitment to excellence and innovation. Our Technology With RelationalAI, you can capture distributed knowledge and model your business as a relational knowledge graph, creating a comprehensive digital representation of your operations. Knowledge graphs turn an organization's collective understanding into a comprehensive model of the business. This digital representation captures the essential details of your operations. Our Native App, accessible through the Snowflake Marketplace, operates within your Snowflake account and enables you to take full advantage of the existing security and governance parameters, with no data egress.With RelationalAI, you can apply various AI techniques, including graph analytics, rule-based reasoning, prescriptive, and predictive analytics, to your data cloud. This integration enhances decision-making and streamlines operations, providing a powerful solution for modern business needs. Our cloud-native technology is designed for cloud-scale performance with features like separation of compute and storage, zero-copy cloning, data versioning, and consumption-based pricing, all while leveraging the same relational paradigm that organizations have trusted for decades.
- Website
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http://www.relational.ai
External link for RelationalAI
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Berkeley, California
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Relational Knowledge Graphs, Graph Analytics, Rules-based Reasoning, Predictive Analytics, Prescriptive Analytics, Graph Databases, Graph Algorithms, Knowledge Graphs, and GenAI
Locations
Employees at RelationalAI
Updates
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Navigating the maze of enterprise databases just got a whole lot easier! 🌟 Our intern, Agapi Rissaki, developed a new approach to create semantic layers for complex enterprise databases, making data navigation intuitive and user-friendly. The secret? A multi-agent LLM simulation framework where AI agents collaborate to distill the semantics of messy data. We are more than excited to share this work at the Table Representation Learning workshop at #neurips2024! If you're curious about harnessing AI to make databases more usable, join Agapi Rissaki and Nikolaos Vasiloglou at our poster presentation this Saturday, December 14th. Let’s chat about how this could transform data exploration for businesses. Paper: https://lnkd.in/gDCsw_eu | Video: https://hubs.li/Q02_kXNg0 This research was conducted in collaboration with Ilias Fountalis and Wolfgang Gatterbauer.
Towards Agentic Schema Refinement: Enhancing Data Navigation with AI | NeurIPS 2024
https://www.youtube.com/
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🚀 Accelerate Enterprise AI with Data, Apps and AI Products on Snowflake! Join us today (FREE) to discover how RelationalAI’s knowledge graphs extend Snowflake’s capabilities with native support for: 🔗 Graph analytics 🤖 Rule-based reasoning 📊 Prescriptive analytics/Optimization Register now to see our own Steve Bertolani's demo today! https://hubs.li/Q02_9L7T0
Accelerate Enterprise AI with Snowflake Marketplace: Data, Apps, and AI Products
snowflake.com
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RelationalAI reposted this
🚀Breaking Analysis | AWS re:Invent 2024: Builder Ethos Embraces Simplicity A New Era of Innovation 🚀 Co-Authored with George Gilbert This year’s AWS re:Invent marked a pivotal moment for Amazon Web Services and the tech ecosystem. With Matt Garman stepping into the CEO role, AWS is balancing its ethos of granular primitives with a push toward streamlined, pre-integrated solutions. From unveiling six new LLMs to advancing SageMaker as a unified hub for AI, analytics, and data, AWS is doubling down on infrastructure leadership while embracing the simplification imperative. Key themes: 🌐 A shift from primitives to composable infrastructure 🤖 Heavily leveraging Trainium and Inferentia to challenge NVIDIA’s dominance 📊 SageMaker’s evolution into a cohesive data and AI platform 🔗 Growing integration across data, analytics, and AI The big question: Can AWS maintain its developer-first flexibility while meeting enterprise demands for simplicity? As the GenAI and cloud race heats up, AWS is charting its path forward, blending technical depth with enterprise focus. With data from ETR (Enterprise Technology Research) on the rise of Meta's Llama and Anthropic to take on OpenAI Microsoft and others...where IBM Watson and Oracle's AI stack up and examples from Salesforce Celonis Kubiya.ai Palantir Technologies RelationalAI EnterpriseWeb building data harmonization capabilities for #Agentic. What are your thoughts on this year’s announcements? Is AWS evolving fast enough to stay ahead in AI and cloud innovation? #AWS #reInvent2024 #AI #Cloud #Innovation Amazon https://lnkd.in/e4THkZXn
258 | Breaking Analysis | re:Invent 2024: Builder Ethos Embraces Simplicity - theCUBEResearch
https://thecuberesearch.com
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RelationalAI reposted this
🔒 Celebrating RelationalAI’s Triple Attestation Achievement with Akitra! 🎉 RelationalAI teamed up with Akitra to simplify their compliance journey, successfully achieving simultaneous #SOC2 Type 2, #HIPAA, and #GDPR certifications. With Akitra's support, they navigated diverse customer requirements, tackled regulatory challenges, and eliminated manual inefficiencies, resulting in a swift and efficient attestation process. Ready to enhance your compliance efforts? Book a #Demo today at akitra.com/demo #Akitra #compliance #automation #SOC2 #iso27001 #hipaa #compliancesolutions #cybersecurity #happycustomer #compliancemanagement
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🔈 New Startup Project Podcast: “Building RelationalAI: AI Coprocessor for Snowflake” Molham Aref joins Nataraj Sindam to discuss his long journey in AI and machine learning, the decision to build RelationalAI on the Snowflake AI Data Cloud, enterprise GenAI powered by business ontology and Compound AI, and the lessons he has learned as a founder. 🎙️ Why Listen? Gain candid insights into Molham’s mission to simplify intelligent application development on a data-centric foundation and to create a comprehensive platform for enterprise AI. 🌟 Learn from his journey, the challenges he overcame, the pivotal role of mentorship, and the many lessons learned as a three-time startup founder. https://hubs.li/Q02Zs80f0 #IntelligentApplicationDevelopment #GenAI #Ontology #Snowflake #Podcast #AI #Leadership #Innovation #ModernDataStack
We Raised $75M to Build AI Coprocessor for Snowflake | Molham Aref CEO & Founder #ai #snowflake
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RelationalAI reposted this
Discover how you can accelerate time to value from AI through the pre-built data, apps and AI products available on Snowflake Marketplace in our upcoming virtual event! See real-life customer use cases and AI product demos from Snowflake Marketplace providers such as LandingAI, RelationalAI and more. Register now to participate: https://okt.to/LPAizp
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🚀 The RelationalAI Knowledge Graph Coprocessor is now GA as a Snowflake Native App! 💡 With 10x less code and complexity, customers can now build intelligent applications using a data-centric architecture based on relational knowledge graphs. 🧠 RelationalAI augments Snowflake’s AI capabilities, empowering customers to combine generative AI with compound AI techniques—enabling rule-based reasoning, graph analytics, and prescriptive and predictive analytics, all within Snowflake! Read the full announcement: https://hubs.li/Q02XYDDm0
RelationalAI Knowledge Graph Coprocessor is Generally Available as a Snowflake Native App
globenewswire.com
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🎉 RelationalAI will be at Snowflake’s Build! 🚀 Join thousands of developers, data engineers, and data scientists for the latest product announcements, hands-on labs, and technical sessions. Great time to level up with a Gen AI Bootcamp, earn a new badge, and test-drive the latest in AI and app innovations, from Generative AI and LLMs to Snowflake Native Apps and Machine Learning! Meet industry experts including: Molham Aref, CEO, RelationalAI Sridhar Ramaswamy, CEO, Snowflake Andrew Ng, Founder & CEO, LandingAI And the best part? It’s FREE to attend! Don’t miss this chance to dive into the future of data and AI. 👉 Register Now https://hubs.li/Q02Xzj_20
BUILD: The Dev Conference for AI & Apps
snowflake.com
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🚀 Ready to build modern, intelligent applications with relational knowledge graphs and advanced AI in Snowflake? Join Molham Aref, CEO of RelationalAI, and Jay (JieBing) Yu, PhD, VP of Applied Research, for an informative Build Session on November 14th at 1:00 PM PST: “Building Mission-Critical Intelligent Applications with Relational Knowledge Graphs in Snowflake.” What to expect: 1. Create a digital twin of an enterprise with knowledge graphs. 2. Implement sophisticated business logic directly inside Snowflake with rule-based reasoning, graph, prescriptive, and predictive analytics. 3. Simplify the complex. 🗓️ Register now to secure your free spot. https://hubs.li/Q02XwFPZ0 #Snowflake #IntelligentApplications #DataAnalytics
BUILD: The Dev Conference for AI & Apps
snowflake.com