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AIVeda is an enterprise AI company focused on building secure, production-ready Private AI systems for organizations that cannot afford data risk or experimental deployments. We have launched our flagship LLM: LIRA We specialize in Private LLMs, Small Language Models (SLMs), and custom AI infrastructure designed to operate entirely within enterprise environments. 𝐖𝐡𝐚𝐭 𝐖𝐞 𝐃𝐨 -Train and deploy Private Large Language Models (LLMs), LIRA for enterprises -Build Small Language Models (SLMs) optimized for cost, latency, and control -Build AI Agentic systems with Chat, Conversation, Vision and GenAI -Develop on-prem, VPC, and hybrid AI deployments -Create domain-trained AI systems using proprietary enterprise data -Implement secure RAG architectures, internal copilots, and automation systems -Integrate AI with existing ERP, CRM, MES, data warehouses, and internal tools 𝐎𝐮𝐫 𝐏𝐡𝐢𝐥𝐨𝐬𝐨𝐩𝐡𝐲 -AI should be owned, not rented -Data privacy is a design principle, not an afterthought -Enterprise AI must be auditable, governable, and predictable -Production AI requires engineering discipline, not demos -Smaller, focused models often outperform larger generic models in real workflows 𝐖𝐡𝐲 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐀𝐈𝐕𝐞𝐝𝐚 -Private by default: No data leaves your infrastructure -Security-first architecture aligned with enterprise compliance needs -Custom models, not one-size-fits-all tools -Clear deployment models: on-prem, VPC, or hybrid -End-to-end ownership from model design to production monitoring -Future-proof AI foundations that scale across teams and use cases 𝐎𝐮𝐫 𝐂𝐨𝐫𝐞 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 -Private LLM development and fine-tuning -Small Language Model design and optimization -Retrieval-Augmented Generation (RAG) systems -AI governance, evaluation, and monitoring frameworks -Computer vision and video intelligence systems -Drone-enabled AI solutions for real-world data capture -Secure AI automation for regulated industries

AIVeda Questions

Laher A. is the Founder of AIVeda.

9 people are employed at AIVeda.

AIVeda is based in Gurgaon, Rajasthan.

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