TitanML

TitanML

Technology, Information and Internet

TitanML makes Enterprise AI possible offering best-in-class performance tailored to individual use cases.

About us

TitanML is a leading provider of secure and scalable Generative AI solutions for regulated industries, enabling enterprises to deploy and scale AI applications rapidly. With a focus on data privacy and security, TitanML empowers organizations to harness the power of AI while maintaining complete control over their data.

Website
https://www.titanml.co/
Industry
Technology, Information and Internet
Company size
11-50 employees
Headquarters
London
Type
Privately Held
Founded
2021
Specialties
LLMs, LLMOps, GenerativeAI, Deployment, and Inference

Locations

Employees at TitanML

Updates

  • View organization page for TitanML, graphic

    4,014 followers

    We're heading to Toronto 🇨🇦 for the Toronto Machine Learning Society (TMLS) Summit (July 12-15)! Are you looking to enhance your organization's AI capabilities? Let's connect and explore how we can help you: * Develop robust Enterprise AI solutions * Implement AI applications * Optimize AI performance All seamlessly integrated with your existing infrastructure. 🤝 Interested in a one-on-one discussion? Book a meeting with our team during the summit. We're eager to learn about your AI challenges and share our expertise. 📅 Don't miss this opportunity! Click the link in the comments to schedule your personalized consultation. #TMLS2024 #EnterpriseAI #GenAI #MachineLearning #AISafety #TechInnovation #Toronto

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  • View organization page for TitanML, graphic

    4,014 followers

    🎉 TitanML has reached 4000 followers on LinkedIn! A huge thank you to all our supporters. Your interest in safe, robust, and fast enterprise AI solutions drives us forward. Haven't followed us yet? Join our growing network to stay updated on the latest in enterprise AI, cutting-edge developments, and industry insights. Follow TitanML and be part of the conversation shaping the future of AI in the enterprise. #EnterpriseAI #AIInnovation #EnterpriseGenAI #TitanML

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  • View organization page for TitanML, graphic

    4,014 followers

    Ever dreamed of chatting with a hologram that's actually smart? We made it happen together with Hewlett Packard Enterprise, Proto Hologram, NVIDIA and Data Monsters at HPE Discover 2024! 🎉 Our team helped create an AI assistant that's not just intelligent - it's a stunning hologram you can talk to. Here's the tech making it possible: * TitanML's Enterprise Inference Stack power 🧠 * HPE's Infrastructure for high-performance compute ☁️ * Proto's jaw-dropping holograms 👀 * NVIDIA's Hardware acceleration 💨 * Data Monsters' speech-to-text and text-to-speechmodels 🗣️ Imagine asking a question and watching a lifelike hologram deliver a spot-on answer. It's not sci-fi anymore - it's our reality! Want to see the future? Check out our latest blog post (link in the comments) with all the details and videos or slide into our DMs to explore how we can help you power similar experiences. #AI #Hologram #FutureTech #Innovation

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  • View organization page for TitanML, graphic

    4,014 followers

    At Hewlett Packard Enterprise Discover 2024, we witnessed the future of AI! TitanML's Enterprise Inference Stack powered an interactive hologram AI assistant, blending: ✅ Natural language processing ✅ Computer vision ✅ Holographic tech Key features: * 8 integrated modules * Real-time Q&A * Enterprise-grade performance This isn't just cool tech — it's a game-changer for businesses looking to enhance customer experiences and boost efficiency. Curious about bringing AI innovation to your organization? Contact us and let's explore how TitanML can accelerate your AI journey! #AI #GenAI #EnterpriseAI #EnterpriseGenAI

  • View organization page for TitanML, graphic

    4,014 followers

    Curious about deploying Large Language Models at scale? At the InfoQ podcast, Meryem Arik shares: * Why mid-size companies are embracing self-hosted LLMs * The secret sauce for state-of-the-art RAG applications * How to slash LLM deployment time by 2-3 months 🔑 Key Takeaways: 1️⃣ Focus on data pipelines, not just model selection 2️⃣ Leverage 4-bit quantization for better performance 3️⃣ Prioritize regulatory alignment in AI governance 💡 "We probably have around a decade of enterprise innovation to unlock with current LLM tech." - Meryem Arik Ready to revolutionize your AI strategy? Read the full article and listen to the podcast in the comments below 👇🔗 #AIDeployment #MachineLearning #EnterpriseAI

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  • View organization page for TitanML, graphic

    4,014 followers

    Are you considering deploying Large Language Models (LLMs) at scale for your business? We distill key insights from Meryem Arik, CEO of TitanML, shared at QCon London.👇 Learn how to: * Transition effectively from hosted APIs to self-hosting * Optimize performance and cut costs * Ensure data privacy and security * Navigate the challenges of LLM deployment Key takeaway: "GPT-4 is king, but don't get the king to do the dishes." Discover why smaller, domain-specific models might be your best bet for balancing performance and cost-efficiency. Read the full article here: 🔗Link in the comments #EnterpriseAI #LLM #AIStrategy #TechLeadership

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  • TitanML reposted this

    View profile for Meryem Arik, graphic

    Co-founder/CEO at TitanML | Secure Enterprise GenAI | Forbes 30 Under 30

    I love seeing what our clients build using TitanML’s tech - but I do think this has to be the craziest use case I’ve seen. Normally our clients use us as the foundation of enterprise RAG and document processing applications but check out Hewlett Packard Enterprise’s live AI hologram of their CEO Antonio Neri. Why did they decide to use the Titan Takeoff Inference Stack? 🏎️ Speed - this is a real time application so latency optimizations are essential 📃RAG - this is being fed with a huge amount of information about HPE, TitanML, Nvidia & Antonio 🤹♀️Multi-model - this application is leveraging multiple best-in-class models all hosted within a single container on a single GPU 🔐Local - all of this is hosted on-prem and offline (for all those private conversations with Antonio) Well done Dan K. Daniel Sherrill Kevin Musgrave Andrew Mendez Cyrill Hug Peter Bhabra Proto Hologram Raffi Kryszek for the awesome work If you want to learn more about this project dm me and I’ll send over the architecture diagram!

  • TitanML reposted this

    View organization page for TitanML, graphic

    4,014 followers

    Join us at the HPE Discover 2024 conference in Las Vegas during the week of June 17, 2024! 🎉 This event is a must-attend for anyone interested in the future of Edge & Networking, Hybrid Cloud, and AI. 💻☁️🧠 You'll have access to: ✅ Hundreds of sessions and demos ✅ Opportunities to meet with experts and peers ✅ Cutting-edge solutions to help you discover what's next At Hewlett Packard Enterprise Discover, we will answer your questions about Enterprise AI, and discuss how TitanML solutions can benefit your Generative AI initiatives. 🤝💬 Book a meeting with us today, check the link in the comments. Let's explore the possibilities of GenAI together at HPE Discover 2024! 🌟 #HPEDiscover2024 #EnterpriseGenAI

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  • View organization page for TitanML, graphic

    4,014 followers

    Join us at the HPE Discover 2024 conference in Las Vegas during the week of June 17, 2024! 🎉 This event is a must-attend for anyone interested in the future of Edge & Networking, Hybrid Cloud, and AI. 💻☁️🧠 You'll have access to: ✅ Hundreds of sessions and demos ✅ Opportunities to meet with experts and peers ✅ Cutting-edge solutions to help you discover what's next At Hewlett Packard Enterprise Discover, we will answer your questions about Enterprise AI, and discuss how TitanML solutions can benefit your Generative AI initiatives. 🤝💬 Book a meeting with us today, check the link in the comments. Let's explore the possibilities of GenAI together at HPE Discover 2024! 🌟 #HPEDiscover2024 #EnterpriseGenAI

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  • View organization page for TitanML, graphic

    4,014 followers

    Join us at the Intel AI Summit on June 11 in London! Discover how we can help you build and accelerate your AI solutions. 📅 When: June 11, 2024 📍 Where: Intel Ignite London Office At the summit, you'll: * Learn from other industry experts and Intel leaders * Explore real-world case studies * Discover how TitanML can help you overcome business challenges * Network with like-minded professionals

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