Good week. @DhanHQ got featured at the AWS Summit in New York, during Swami Sivasubramanian's keynote, for a new charting platform our team built using Kiro, in a fraction of the time it was originally going to take. When this project was first scoped, the timeline looked nothing like what actually happened. Watching that gap close in real time, because the team used the right tools well, has been one of the more satisfying things to be part of this year. We're treating AI and agentic tooling as a real lever now, something that lets us bring features and products to our users faster than we could have a year ago. Over the past few months, that same energy has shown up across Raise. Artham shipped, India's first Small Language Model for Indian Capital Markets. @ask_fuzz AI got built. @scanx_trade got several new layers of insight added to it. All of it moving at a pace that didn't exist for us before. We're committed to keeping this going, more products, more features, shipped faster.

Today, I’m proud to share something we’ve been building for months - Artham, India’s first Small Language Model (SLM) built exclusively for Indian Capital Markets. We unveiled it at AWS re:Invent 2025 in Las Vegas, marking a defining milestone for India, AI, and Raise on the world stage. 🚀 This isn’t just a product launch. It’s a statement that India no longer has to rely on global AI models that were never designed to understand the depth, nuance, and realities of our markets. We can and we will build for ourselves. Artham is shaped by the realities of Indian markets — SEBI’s rulebook, NSE & BSE dynamics, corporate filings, trading cycles, investor sentiment, and the everyday language of Indian finance. Every layer is grounded in local context, built to serve Indian participants, not global assumptions. This isn’t a “global model adapted for India.” Built in India. Hosted in India. Built for India. 🇮🇳 This is a model born from India’s capital markets. At Raise Financial Services, we’ve always believed that true financial empowerment cannot come from imported solutions. It must be created on-ground, in-context, with an Indian-first mindset. Artham is our step towards making Indian finance more intelligent, more relevant, and more accessible for retail investors, traders, institutions, and the next generation of market participants. Behind this launch is a team that stayed obsessed with one thing: relevance. Relevance to the Indian investor. Relevance to the Indian market cycle. Relevance to India’s financial future. This isn’t a concept or a test model. Artham is already live in production for millions of users: • @ask_fuzz (AI research) • ScanX (markets insights) • @DhanHQ (trading and investing) Proud of our team. Proud of our mission. Proud to build for India. 🇮🇳 @bankonbasak @awscloud @AWSCloudIndia #AWSreInvent2025