Varun has been Chief Technology Officer at AIVeda since 2023, where he owns the architecture behind its private LLM, RAG and voice systems, including on-prem, VPC and hybrid deployments built so sensitive data never leaves the customer's boundary. His background is twenty years of data and integration engineering: Ab Initio solutions architect at Steria working on cross-border bank payment routing, ETL architect at Cognilytics, and managing director at RDDTree. He is also founder and CTO of NeuralMinds.io. He writes here on AI architecture, deployment and MLOps.
Businesses are rushing to incorporate AI into processes, but the more they investigate generative models, the more it becomes evident that control, governance, and security are just as important as model accuracy. Sensitive data cannot be handled by public APIs; government agencies, manufacturing, healthcare, insurance, and finance all need greater control over data, model behaviour, […]
December 13, 2025Artificial intelligence is no longer a futuristic idea but a priority for every company. Furthermore, as per the Marketsandmarkets recent report, the artificial intelligence market is growing at an astonishing pace, and is expected to hit USD 2,407 billion by the end of 2032. By looking at the stats, it’s not wrong to say that […]
December 5, 2025Public LLMs helped enterprises understand what generative AI can do. They boosted productivity and made complex tasks easier. But they also exposed a critical flaw. These models sit outside the enterprise boundary. They run on shared infrastructure and retain data unless configured otherwise. Over 27% of organizations restricted the use of public GenAI tools because […]
November 21, 2025Enterprises today are overflowing with data. But it’s fragmented. Customer support has audio. Operations has video. Marketing has text. IoT has sensors. You have built great systems, but they do not interact with each other. Multimodal AI breaks those walls. It makes data cooperative. When different data types start speaking to one another, new intelligence […]
November 15, 2025When a retail chain predicts store demand before stock runs out, or a hospital’s digital assistant alerts doctors to potential patient risks in real time, it’s not just AI at work. But it’s AI working together. Yet most enterprises still run AI tools in silos, like chatbots, analytics, recommendation engines, each powerful but disconnected. Decisions […]
November 8, 2025In 2024, JPMorgan Chase developed an internal generative AI platform called DocLLM to summarise legal documents securely within its private infrastructure. The reason was clear: traditional cloud-hosted models risked exposing confidential client data. Instead of deploying massive, general-purpose models, the bank built smaller, fine-tuned ones tailored for compliance and cost efficiency. This example highlights a […]
October 31, 2025Artificial Intelligence (AI) has entered a new era where large language models (LLMs) power everything from chatbots and copilots to knowledge retrieval and compliance automation. These massive models, such as GPT-4 or Gemini, have demonstrated groundbreaking capabilities. But their size also creates challenges: they require enormous compute resources, high costs, and specialized infrastructure that most […]
September 26, 2025Enterprises today are no longer asking if they should adopt generative AI — they are asking how to adopt it safely and strategically. Large Language Models (LLMs) are powering everything from intelligent agents and search to knowledge management and automated documentation. But for many organizations — particularly in healthcare, banking, pharma, defense and manufacturing — […]
September 26, 2025The rapid growth of generative AI has redefined how enterprises handle customer engagement, automate processes, and extract value from data. Yet, as businesses rush to integrate large language models (LLMs) into their workflows, a critical question arises: where should these models be deployed? Public LLM APIs like OpenAI or Anthropic offer agility, but they introduce […]
September 26, 2025Hiring an AI partner can transform your business, but choosing the wrong company can cost time and money. You need a partner who understands your goals, systems, and industry. Asking the right questions upfront helps you avoid mistakes and ensures you get the AI solutions your business needs. In this guide, you’ll find the 10 […]
September 19, 2025