AI Bloks
AI Bloks/LLMWare builds private, secure, cost-efficient AI tools for complex enterprises, including a unified open-source framework, specialized small language models, and Model HQ for creating and deploying no-code AI-agent workflows locally on PCs, in data centers, or private clouds.
At a Glance
- Financial services
- Legal
- Insurance
- Compliance and regulatory-intensive enterprises
- +3 more
AI Tools by AI Bloks
(1)
llmware
Open Source Python RAG Framework
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Latest News
Accelerating Enterprise AI: How LLMWare Enabled AI Workers at Scale at Accenture on Intel AI PCs
On-Device Agentic AI Workflows with Qualcomm Hexagon NPU and LLMWare.ai
Model HQ by LLMWare.ai selected by Intel for its CES 2025 Tech Showcase
LLMWare introduces Model Depot, an extensive collection of small language models for Intel PCs
Products & Services
A no-code platform and client app for building, deploying, and managing private AI-agent workflows on AI PCs, data centers, and private clouds. It supports local models, RAG/search, document and CSV analysis, vision, scheduled automation, API integrations, safety controls, and enterprise deployment.
Apache-2.0 open-source Python framework for enterprise RAG pipelines, document processing, model orchestration, and multi-step agent workflows using small specialized models.
RAG-optimized DRAGON models, SLIM structured/function-calling models, BERT embeddings, GGUF tool models, and CPU-friendly 1B–7B models, with custom fine-tuning and model-training services.
Collection of quantized small language models, including models optimized for Intel/OpenVINO AI-PC deployment and available through Hugging Face.
Market Position
AI Bloks/LLMWare positions itself between open-source RAG/agent frameworks and enterprise AI deployment platforms: unlike cloud-first general-purpose LLM providers, it emphasizes small specialized models, no-code workflow creation, and private local/on-premise execution. Crunchbase identifies LangChain, Pinecone, and Dify.AI as possible competitors; the broader enterprise model-platform set also includes OpenAI, Cohere, and Anthropic.
Leadership
Founders
Namee Oberst
Founder and CEO; LinkedIn identifies Namee as a University of California, Berkeley alum and an enterprise generative-AI/open-source startup founder focused on regulatory-intensive use cases.
Darren Oberst
Founder and CTO; technical inventor of llmware and formerly a VP at HCL Technologies.
Executive Team
Namee Oberst
Founder, CEO
Co-founder focused on enterprise generative AI and open-source innovation; University of California, Berkeley background.
Darren Oberst
Founder, CTO
Co-founder and technical inventor of llmware; formerly VP at HCL Technologies.
Founding Story
AI Bloks was founded by Namee Oberst and Darren Oberst in October 2022 to develop enterprise generative-AI and open-source technology for data-sensitive and regulatory-intensive work. The initial vision was a coherent RAG/agent framework and small, specialized models that could run privately and cost-effectively.
Business Model
Revenue Model
Commercial enterprise software and deployment services for Model HQ, paid Starter/Developer/Enterprise offerings, enterprise sales and support, plus custom model training/fine-tuning services. The llmware framework is open source.
Pricing Tiers
Official enterprise page advertises a 90-day free trial.
Commercial Starter version with no-code point-and-click capabilities; price is not shown on the public page.
Developer version with specialized SLIM/function-calling models and agentic multi-step workflow capabilities; sold via contact/sales.
Enterprise deployment and controls; sold via enterprise sales contact.
Target Markets
- Financial services
- Legal
- Insurance
- Compliance and regulatory-intensive enterprises
- Enterprise IT and operations teams
- System integrators and enterprise developers
- Enterprise document processing and contract analysis
- Financial-services, legal, insurance, compliance, and other regulated workflows
- RAG knowledge applications and semantic search
- IT/service-ticket classification, routing, and summarization
- CSV/data analysis and text-to-SQL
- Vision and structured-data extraction
- Accenture