At the recent India AI Impact Summit 2026, I got a chance to speak with Arjun, the Chief Technology Officer at AIONOS. While we discussed a lot about the AI landscape of India, the main conversation mostly steered towards discussing how the company is deploying AI in the enterprise sector.
Moving beyond regular chatbots and other hyped-up AI products, Arjun explained how the enterprise sector needs to have AI in their workforce, given how it’s the way forward for being efficient in the evolving market. Let’s take a look at the key takeaways from our conversation.
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First of all, it was fairly important to understand what exactly AIONOS does, and Arjun gave me a deep dive into it. He explained that they are an AI-first-born company with the focus on bringing the value of AI to the enterprise segment, specifically in travel, transport, logistics, hospitality, telecom, and healthcare.
He explained that rather than building on traditional foundational models, they’ve built their application stack to identify the key points between people, data, and systems. Most importantly, understanding where AI can play a massive role in transforming those industries.
I also wanted to understand how exactly the company work on its products. Explaining on that front, Arjun said, “We’ve taken a very product-specific approach, where instead of building something extremely custom, we build it for an industry, and we sell it to multiple customers for the industry.”
And as to why it works for them, he explained that, “What we’re finding is there’s a lot of patterns where the work that we’re doing for one industry is actually relevant for other industries. So across all the TTLH and telecom and healthcare stack, most of our products and solutions that we’re building are usable across this stack.”
Given how many companies have taken the longer route to build proprietary LLMs, in hopes of better results with their own models, I wanted to understand if AIONOS is doing the same or if they are looking to do something different. Well, Arjun explained that they’re LLM agnostic.
He stated, “What we do is we take open source models.We work with Lama. We work with Quinn. We work with Kimi 2.5. See, all of these are actually, again, state-of-the-art open source models. They have limitations, right? The new trend that we are seeing over the last six to eight months is every country, they want their own sovereign data. They do not want to have their data going out of the country.”.
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