Archive · 8 Dec 2025
AWS ProServe Unveils India's First Financial SLM
At the AWS re:Invent 2025 conference in Las Vegas, Amazon Web Services (AWS) introduced Artham, a special AI model made just for Indian financial markets.
This model, created by Raise Financial Services, is designed to understand Indian financial rules and help investors and professionals make better decisions.
Artham uses data from Indian companies and markets to give accurate and helpful information.
It's already being used in products like fuzz, ScanX, and Dhan to provide real-time financial news and insights.
The model is built and hosted in India, ensuring it follows local regulations and data privacy rules.
Artham is a big step forward in making financial AI more precise and useful for India's market participants.
AWS unveiled Artham, India's first Small Language Model (SLM) for financial markets, at AWS re:Invent 2025 in Las Vegas.
Artham was developed by Raise Financial Services, the company behind Dhan and fuzz, and is designed to understand Indian financial regulations and market data.
The 7-billion-parameter model was trained on a mix of public and proprietary Indian financial data and is hosted on cloud infrastructure within India.
Artham is already live in production across the Raise ecosystem, powering real-time financial news on ScanX and Dhan, and providing insights on fuzz.
The model is built with clear guardrails, offering information and educational insights without providing investment advice or recommendations.
- Who
- Amazon Web Services (AWS) and Raise Financial Services
- What
- Unveiling of Artham, India's first Small Language Model (SLM) for financial markets
- When
- AWS re:Invent 2025 conference
- Where
- Las Vegas
- Why
- To provide intelligent, context-aware financial experiences for investors and professionals
- Model Name
- Artham
- Developed By
- Raise Financial Services
- Parameters
- 7-billion
- Development Time
- Nine months
- Data Sources
- 70% public, 30% proprietary
- Hosting
- Cloud infrastructure in India
- Key Features
- Native tool-calling capabilities, context-aware financial experiences