Kinetica is a real-time database for generative retrieval and analytics. Kinetica leverages GPUs and modern many-core CPUs to achieve industry crushing performance for generative AI, spatial, time-series, OLAP and Graph related queries. Kinetica is trusted by Citibank, Liberty Mutual, Ford, NORAD, Verizon, The NBA, Kaiser Permanente, and T-Mobile, among others. Kinetica has a rich partner ecosystem, including NVIDIA, Dell, HP, Expero, and Oracle. Kinetica is privately held, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners.
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Kinetica is a real-time analytic database, ideal for sensor and machine data workloads. Kinetica leverages GPUs and modern many-core CPUs to achieve industry crushing performance and efficiencies. Converged analytics across generative AI, spatial, time-series, and graph provide the most comprehensive set of analytic capabilities in a single API.
🚀 Unlock new Geospatial insights from Enterprise Scale data with ease with Foursquare's Geospatial Intelligence Platform powered by Kinetica
📣 We are excited to announce the beta launch of Foursquare's Geospatial Intelligence Platform! Be one of the first to explore our latest platform, designed to make geospatial insights accessible for everyone—from experts to novice users. Get on the waitlist today to try our new Geospatial Intelligence Platform! 🔗 Link in comments below 👇
Advanced spatio-temporal analytics, joins and graph algorithms AT SCALE all require one thing. Brute force compute. Kinetica is proud to be the compute engine for Foursquare's Geospatial Intelligence Platform. Accelerate your journey from raw data to insight!
Another exciting update from Foursquare!!! Today, we are launching the 'Foursquare Geospatial Intelligence Platform' (in beta) - a breakthrough solution that transforms how enterprises leverage location data to drive business decisions. In an industry where geospatial solutions predominantly cater to data scientists with deep domain expertise, we've taken a fundamentally different approach. Our platform empowers data analysts to harness sophisticated location intelligence through an intuitive SQL interface, bringing geospatial insights closer to business decision-makers. The Foursquare Geospatial Intelligence Platform achieves this through three foundational pillars: - FSQ Graph (Data): Unlike traditional data catalogs that leave the complex task of connecting datasets to users, our innovative data backbone pre-integrates Foursquare's foundational datasets, Places & Movements, with essential public datasets (roads, buildings, census, weather) and provides tools to seamlessly connect customer-owned data through standardized H3 cells and FSQ Place IDs. This unified foundation eliminates months of complex data engineering typically required for geospatial analysis. - FSQ DB (Compute): In partnership with Kinetica, we've developed a GPU-accelerated geospatial compute layer that goes beyond simple spatial joins. Our solution packages sophisticated spatio-temporal and graph algorithms that operate on Foursquare Graph data out-of-the-box, making advanced analytics like trade area analysis and customer segmentation accessible through standard SQL. This enables analysts to perform complex location intelligence tasks without specialized programming expertise. - FSQ Studio(Visualization): Our enterprise workspace combines interactive SQL workbooks with real-time visualization capabilities. Analysts can explore data through familiar SQL queries and instantly see results as dynamic maps, powered by unique capabilities we added on top of industry-standard open-source frameworks: Kepler.gl and deck.gl. This seamless integration of query environment and visualization accelerates the journey from raw data to actionable insights. To learn more about our journey & approach to democratizing geospatial analytics, read our detailed blog post and join the waitlist for early access: https://lnkd.in/gQa8diwc
What does it take to make Text-to-SQL work reliably and at scale? Kinetica was the first analytical database to integrate an LLM for #Text2SQL. Check out this tutorial to learn how to get started in under an hour. -Import data -Add context to an LLM -Start asking ad-hoc questions of your data using plain English. ➡ https://lnkd.in/gwaqg3mq
As a reminder: JSON is a fully supported data type for ingestion and as columns in Kinetica tables as of our 7.2 release. Plus we provide a complete set of accessor functions and aggregation functions for working with #JSON data. 🎉 Check out this link for more details: https://lnkd.in/e2J6s3-w
Check out Kinetica's LangChain plugin here: https://lnkd.in/euhaqMYt
Wanna know how we deliver blazing fast performance at the petabyte scale? Tiered Storage. https://lnkd.in/eaBuJaDe
Kinetica is a member of the newly formed ‘AI For Telecom’ program with our partners Dell and Nvidia. As the real time GPU database for retrieval and analytics, we’re delivering GenAI enabled applications for CSPs around the globe.
Tomorrow, Oct. 10, we'll be joined by NVIDIA to reveal how #AI-driven solutions are transforming communications service providers (CSPs). Don’t miss your chance to explore the future of AI with us! 🚀https://dell.to/47RfTAo
🚨Mark your calendars! Please join Kinetica this Thursday to discuss the tools and techniques required to make #GenAI work at enterprise-scale! 📈 #RAG #RealTimeRAG #VectorSearch
How can you correlate insights from ALL your data, not just text, using Generative AI? 📅 Don't miss this insightful conversation with Constellation analyst Doug Henschen and Kinetica CEO & co-founder Nima Negahban on Thursday, Oct. 10 @ 1 pm EST. 🔎 Discover how SQL, vector search & graph analysis can be combined to deliver revolutionary #GenAI applications. 💡 Learn about the multimodal GenAI #innovations enabling these breakthroughs. 🌍 Explore how Kinetica is uniquely positioned to support #enterprise-scale real-time analysis in a secure, scalable manner. Register for the webinar here 👉 https://lnkd.in/gkdmYcg6
Last week Kinetica was included in the Dell Technologies and NVIDIA 'AI for Telecom' program: https://lnkd.in/eSEY5RZb Kinetica offers unmatched speed, accuracy and scalability across 5G and OpenRAN environments, providing real-time data analysis that accelerates decision-making using natural language! See below for more details ↘
Kinetica is excited to be a core partner in the groundbreaking Dell Technologies AI for Telecom solution. As the real-time retrieval engine within the stack, Kinetica’s unique ability to handle vector search and ad hoc SQL queries —at speed/scale— unlocks the potential of GenAI for all of your data —tabular and text. Powered by NVIDIA technology and deployed on Dell hardware, this collaboration exemplifies high-performance AI infrastructure tailored for the telecom industry.
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The cat is out of the bag, Dell Technologies is announcing Dell AI for Telecom. An #AI and #GenAI program designed to simplify and accelerate deployments for communications service providers. We have built #Telecom specific outcomes with NVIDIA, Synthefy, Amdocs, Kinetica, Iternal Technologies and more. With the launch of this program we will continue to add architectures with purpose-built telecom outcomes to ensure that we keep up with the needs of #CSPs from the Core to the Edge. #iwork4dell Read our press release here: https://lnkd.in/e-yu3mZv