- Artham,
a 7-billion-parameter Small Language Model (SLM) trained
exclusively on Indian Financial & Capital Markets, was unveiled first
time at AWS re:Invent 2025 - Built
by Raise Financial Services and hosted in India, Artham already
powers fuzz (https://askfuzz.ai/) and ScanX
(https://scanx.trade/) with source-backed insights, real-time news and
contextual understanding for Long-Term Investors, Finance and Capital
Market Professionals - Developed
over 9 months by Raise AI, Artham uses a curated 70:30
blend of public and proprietary Indian financial data and
supports native tool-calling for secure access to real-time
data and analytics
LAS VEGAS /
MUMBAI – December 5, 2025 : At its flagship
event – AWS re:Invent 2025 conference currently underway in Las Vegas, Amazon
Web Services (AWS) unveiled Artham – India’s first Small Language Model
(SLM) trained exclusively on Indian Financial & Capital Markets and
built by Raise Financial Services. Raise is the company owning and operating
India’s fastest-growing stock trading platform Dhan, and AI-powered
financial markets research assistant fuzz.
The announcement
was made in a keynote address by Dr. Swami Sivasubramanian,
Vice President, AWS Agentic AI, with Raise being showcased as a standout
example of how forward-thinking customers are building domain-specific AI
products on AWS. This event marks a rare recognition and milestone for Raise
Financial and the broader Indian fintech ecosystem for an Indian startup to
feature on re:Invest keynote stage on the global platform. Earlier, AWS
CEO Matt Garman in his keynote address introduced DevOps Agent (https://aws.amazon.com/devops-agent/)
recognising Dhan as an early customer and adopter of this platform
globally.
Positioned as “The
Financial Brain, Built for India,” Artham is India’s first dedicated Small
Language Model (SLM) for capital markets. It is designed to understand the
structure, vocabulary and regulations of India’s capital markets, and to power
intelligent, context-aware financial experiences for serious investors,
traders, capital market enthusiasts as well as financial professionals.
“AI in financial
services needs to be precise, explainable and deeply contextual to local
markets. With Artham, we are building an India-first financial AI
layer that strengthens fuzz and ScanX for serious investors and market participants,
while staying fully aligned with the responsibilities of operating regulated
platforms like Dhan as part of Raise Ecosystem.” said Pravin
Jadhav, Founder & CEO, Raise Financial Services.
Built entirely in
India and hosted on cloud infrastructure located within the country, Artham has
been engineered to build causal relationships between events spanning Indian
companies, macro developments and their impact on the financial landscape,
specifically to help connect the dots between India’s vast financial data
points. It is tuned on Indian market data, regulatory content, company
disclosures and financial knowledge focused on India’s listed universe and its
ecosystem of participants, rather than generic global internet text.
Artham is a 7-billion-parameter
model that has been in development for around nine months, led
by Raise AI. The training corpus combines both public and proprietary data from
the Indian financial ecosystem; roughly 70% is public data
and 30% is proprietary. Over time, the share of proprietary data is
expected to increase as Raise deepens Artham’s coverage. Artham is also
built with native tool-calling capabilities, allowing it to securely invoke
internal data services and workflows, such as real-time market data, analytics
and retrieval systems, when responding to user queries.
“We
wanted a small, efficient model that we could tune deeply on Indian financial
data, evaluate rigorously and run with strong controls around data sovereignty,”
said Alok Pandey, Co-founder and CTO, Raise Financial Services. “Working
with a lean internal team at Raise AI has helped us move from experimentation
to production-grade financial AI in a very short time, with Artham now quietly
powering experiences across fuzz, ScanX and Dhan.”
The model is already
live in production across the Raise ecosystem. A share of real-time financial
news on ScanX and Dhan is generated using Artham, and
some conversations on fuzz are also powered by the model, helping
users uncover insights on Indian markets faster, with answers grounded in facts
and backed by verifiable insights in the form of source links,
official announcements and references.
Every experience
powered by Artham is built with clear guardrails: it offers information
and educational insights, not investment advice or recommendations. Raise
and its products do not provide investment advice, and users remain fully
responsible for their own investment decisions.
Artham is a
foundational capability for Raise AI’s future roadmap, enabling new India-first
tools across research, education and analytics for market participants and
finance professionals. You can read more about it here: https://askfuzz.ai/artham
