** Winner of 2024 Top 11 AI Project by Github ** LLMWare by Ai Bloks is an integrated framework with over 50+ models for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. We are active contributors to open source in Hugging Face where we publish datasets (https://huggingface.co/llmware) and fine-tuned LLMs and embedding models and Github where we have LLM-based development tools and platform (https://github.com/llmware-ai). We have a strong team of technology and business professionals with extensive experience developing and deploying complex software at large and small enterprises. We aim to deliver cost-effective innovation to help organizations leverage the latest AI technology in simple and practical ways to make a positive impact on their business.
External link for LLMWare.ai
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Thanks, Qualcomm Developer, for featuring LLMWare.ai! It's exciting to see more attention on practical, on-device AI that gives developers and enterprises the ability to run powerful models privately and efficiently. Looking forward to what's ahead. Happy to hear your thoughts. :)
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Are you still using AI for only chatbots or coding assistants? 🤔 The biggest opportunity is building real AI capability that automate manual enterprise workflows for teams and business users. With *Model HQ*, teams can visually orchestrate AI models, RAG, APIs, enterprise data, and automation into powerful AI workflows that run privately on AI PCs, enterprise servers, or mix and match with frontier models for more complex AI needs. No token costs. No code. No AI infrastructure to build. Just practical AI that organizations can deploy quickly to drive real productivity. Here's a quick look at Model HQ in action. A big thank you to our friends at Qualcomm Snapdragon for putting together this awesome video and for being such a great partner as we continue to push the boundaries of on-device enterprise AI - Maria Stenina Madhura Chatterjee Meghana Rao Manoj Khilnani https://lnkd.in/eVDjZdGW #EnterpriseAI #AIWorkflows #OnDeviceAI #AgenticAI #SLM #EdgeAI #Snapdragon #AIPC #ModelHQ
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Teams are under pressure to move faster while managing growing complexity. With LLMWare.ai's Model HQ running on Intel-powered AI PCs, Accenture's CIO office drives productivity by running local AI for compliance analysis and root-cause detection. Together, the team delivers faster insights during audits, more efficient security rule testing, and greater flexibility for local AI, including: • 2x faster summarization of model execution explainability for security audits • 10%+ improvement in agentic rule changes and iterative testing • 30%+ improvement in battery life for development tasks Learn more at http://ms.spr.ly/6047vUI6x
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Had an insane week representing AMD at Microsoft Build!! Some highlights: - I was able to build an entire game in minutes, offline on Claude code with Lemonade server. completely free, NO TOKEN COST 🔥 All inference running locally in our Ryzen AI halo box. Huge thanks to Jeremy Fowers Ramakrishnan Sivakumar and our lemonade community for building something so impressive! Rubbed shoulders with incredible thought leaders and AI enthusiasts: Patrick and Benjamin Tareau @ Red Bull, Damien DeHart @ Aikido, Bruno Yoffe ☕️ @ Replit, Brett Boresow @ Visa, Han Xiao @ Elastic, and Edward Robinson @ Arize to name a few! Also had the privilege of showing off some of our partners who are building incredible agentic experiences on the edge - AnythingLLM with Timothy Carambat , LLMWare.ai with Namee Oberst and Darren Oberst , and Microsoft Foundry with Baldwin N. Some other conversations I really enjoyed: Adil Arya Jurre Brandsen Theodoor P. Dinesh Umasankar Charlie Misbach Reagan Topps Benjamin M. Mandip [Mans] Bhuller My main takeaways: - The tokenomics equation is not adding up, and the industry is starting to feel the heat. Long-term AI adoption will not come until solutions can keep costs predictable, protect data privacy, and have quantifiable ROI. - Local and edge AI is THE solution to token cost, and very soon will become a core part of every company’s stack. - Agents need to be more proactive, intuitive, and contextual. The more work they can do without being asked, the more useful they are. Now looking forward to Advancing AI 2026 🚀 Rakesh Anigundi Adrian Macias Zeena Benjamin Tim Amundsen Raj Puran Joshua H. Jaydev Shelat Kiriti Nagesh Gowda
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🚀 Another really exciting moment from Microsoft Build! AMD featured our *Model HQ* in their awesome AMD booth, showcasing how enterprises can build and run AI workflows locally on next-generation AI hardware. It's truly incredible to see the momentum behind practical, on-device AI continue to grow across the Microsoft ecosystem. Baldwin N. Huge thank you to the amazing AMD team for showcasing us and helping demonstrate what's possible when powerful AI software meets powerful AI hardware: Shweta Katti Jacob Hansen Michael Katz Mike Kraus Raj Puran 🎉 #MicrosoftBuild #AMD #AI #OnDeviceAI #EnterpriseAI #AIPC #ModelHQ #LLMWare
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Local AI for the enterprise – made possible on PCs with #Snapdragon X Series and LLMWare.ai’s Model HQ! No cloud, no code! LLMWare.ai’s Darren Oberst and I had an incredible time presenting our session on this topic to a jam-packed audience at Microsoft Build! We demonstrated: ☑ Easy integration of Model HQ with Windows ML and Microsoft Foundry Local models optimized for Snapdragon PCs ☑ Fast, private AI agent workflow automation with no-code ☑ Snapdragon on-device NPU performance ☑ Flexibility to extend into pro-code ONLY when needed The interest and excitement from the audience was extremely energizing. Thank you to the amazing teams at Qualcomm, LLMWare.ai and Microsoft for this collaboration! Interested in taking the learnings a step further and building enterprise agentic workflows on Snapdragon PCs with Model HQ? Follow the blog to get started! https://lnkd.in/gi2vQtza #QualcommDeveloper #MicrosoftBuild #LLMWare #Snapdragon Namee Oberst, Darren Oberst, Madhura Chatterjee, Alberto J. Martinez, Upendra M. Kulkarni, Gokul Tonpe, Srinivasa Deevi, Sai Gayathri Gampa, Ana Schafer, Alison Swift, Cabot Taylor, Rajan Mistry, Maria Stenina, Andriy Fedorchuk
🔥 We knew there was interest in on-device AI but we truly didn't expect the blow-out interest we got for our live demo session at Microsoft Build! Our Co-founder and CTO Darren Oberst and Meghana Rao from Qualcomm presented a live demo of *Model HQ* running Jira AI agent workflows on Snapdragon-powered AI PCs at Build. The session was so packed that by the time the session started, there was barely room to stand. What resonated was seeing real AI agents running locally, on-device, in real time. Private AI. No-code workflows. Enterprise use cases. Live. The energy in the room and the conversations afterward made one thing clear: organizations are actively looking for practical ways to deploy AI beyond the cloud. A huge thank you to Qualcomm, Microsoft, everyone who joined us for an incredible session and to the very special team that made this possible: Meghana Rao Madhura Chatterjee Manoj Khilnani Srinivasa Deevi Sai Gayathri Gampa and Rajan Mistry #MicrosoftBuild #Qualcomm #Snapdragon #SnapdragonXElite #AIPC #OnDeviceAI #LocalAI #EnterpriseAI #AgenticAI #ModelHQ #LLMWare #WindowsAI #EdgeAI #PrivateAI
LLMWare at Microsoft Build🔥🎉🙈
Energized to watch Satya Nadella keynote at Microsoft Build celebrating our developer partnerships across Windows AI and Agentic platform, including Windows ML, Windows AI APIs, Foundry Local, just announced Microsoft Execution Containers (MXC) and more! Thank you for the partnership! 🙌 ✨
LLMWare is on the map! During Satya Nadella's keynote at Microsoft Build 2026, we were thrilled to see our LLMWare logo included among Microsoft's developer partners helping shape the future of AI on Windows. It's incredibly rewarding to see our work with Model HQ recognized as part of the growing ecosystem around AI PCs, local AI, agentic applications, and enterprise AI. We're so grateful for the partnership, our customers, and everyone who has supported us along the way. The momentum behind AI running closer to where work happens—on devices, AI PCs, and private infrastructure—is real. The future of AI is getting a lot more local. 🚀 Special thank you to Mik C. and Baldwin N. for your partnership and support! #MicrosoftBuild #AI #AIPC #WindowsAI #AgenticAI #EnterpriseAI #LLMWare #ModelHQ
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Great to spend time together with the 群聯電子 PHISON Electronics team addressing hard technical problems - and I always appreciate the opportunity to connect in person at Taipei. It’s been rewarding working across organizations to showcase how Intel AI PC platforms powered by #IntelCoreUltra can run larger language models and locally handle more advanced AI workloads. A lot of coordination, trust, and willingness to make things better goes into bringing these efforts together. It’s great to see the results take shape - especially as these capabilities across hardware & software help enable more responsive, secure, token free, and privacy-conscious AI experiences on Intel AI PCs. Thanks to the Phison & Intel teams and ISV ecosystem led by Ollama, LLMWare.ai, TurinTech AI, for the continued collaboration and contributions to bring larger LLMs to everyone on Intel AI PCs. https://lnkd.in/gdSripTB K.S. Pua Wei Lin Sebastien Jean Wei Lin Michael Wu Heather Davis Aaron Pham Rick Allen Michael Chiang Kee-Meng Tan Leslie Kanthan, PhD Mike Basios, PhD Namee Oberst Darren Oberst Jim Johnson Todd Lewellen Carla Rodríguez David Feng Daniel Rogers Alex Katouzian Matt King Bing Chen Tasha Chuang #iamintel #Intel #Phison #aiDAPTIV #AIPC