fuzz AI

Over the last few months, one of the biggest things we’ve been quietly building at fuzz is the foundation beneath every conversation: How your data is processed, stored and routed to the right expert! We've written more about this on our official blog: blog.askfuzz.ai/p/a-strong-fou…

Now Live: Position Analyser on Options Trader App Once option traders execute multi-leg strategies, tracking risk requires manual calculations and can lead to confusion, especially across multiple underlying. With Position Analyser, you can track executed strategies with interactive pay-off graphs, flexible leg management and risk metrics - all in one place. 🧵

STT hike explained like you’re busy (because you are)!⏱️ askfuzz.ai/originals/stt-…

@achuth_rk @shraddhahahaha Hi @achuth_rk, we get data from all of this and more. We've realized that a 7B SLM does take a humungous amount of data. 😅

@shraddhahahaha Corporate filings? Where do you get the data from From the NSE website or BSE

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

@ajaypramod @shraddhahahaha x.com/ask_fuzz/statu…

@shraddhahahaha Amazing. Congratulations 🎉 Should provide this as APIs

@sdhilip @shraddhahahaha Right now Artham isn’t available as a standalone model to try. It’s running behind the scenes inside our own products.

@shraddhahahaha Amazing. Can we try the model?

@ai_singulariti @shraddhahahaha Artham isn’t a public API / standalone model right now – it’s an internal SLM that powers products like fuzz and ScanX. Since we don’t offer external access yet, there’s no public token pricing. If that ever changes, we’ll share a clear pricing model. 🙂

@shraddhahahaha what the cost per M tokens

@noctus91 @shraddhahahaha We’re still finalising a proper benchmark suite for Artham. Right now our focus is: • Indian capital-markets tasks (filings, results, corp actions, news) • Production performance inside fuzz, @scanx_trade, @DhanHQ and other Raise products.

@shraddhahahaha Benchmarks?

@Hem_curio @shraddhahahaha Hi @Hem_curio, we've done a bunch of optimisations to solve for the vast amounts of data that we ingest. From the start, we've always tried to show the data/document upfront so that you can verify them in-line, without even leaving the platform.

@shraddhahahaha Interesting. Can't wait to try it. Congratulations, curious to know how you handled large data and controlled hallucination to improve accuracy.

At AWS re:Invent 2025 in Las Vegas, we unveiled Artham - India’s first Small Language Model built exclusively for Indian Capital Markets. A defining milestone for India, AI & us on the world stage.🚀 askfuzz.ai/artham Built in India. Hosted in India. Built for India. 🇮🇳

The team is at @TheProductfolks event at Bangalore today! Come say 👋 and get your exclusive invite code in the goodie bag!

Ever tried finding a company’s financial data & ended up with 10 tabs open, all showing different numbers? That’s the state of financial data today - messy, noisy & unreliable. But here enter @ask_fuzz (by @DhanHQ), your AI research analyst built for Indian markets. It combines verified data, deep research & natural language search, so you get insights you can trust.

@Noobcoder6 Soon, right now we’re working on working with a small set of users to solve their most immediate problem statements in financial research!

@ask_fuzz When is the official launch of askfuzz ai

Why bother uploading full DHRPs to LLMs when you get it right here on @ask_fuzz? Click on any citation to view the full source document and confirm for hallucinations!

Join us at 12:00 Noon today at #GFF2025 and get demo for @ask_fuzz 🚀

Hey 👋🏽 Join us at @RaiseTheBarHQ booth T2 at #GFF2025 at 12PM on Day 2 (8th October) for a live demo! We’ll also be handing out invite codes - exclusively for GFF attendees. One special claimed code will be the lucky winner announced tomorrow. Guess the prize? 🕶️

@rahuldeshpande2 🥈🥇

Hey there! 👋

@bankonbasak Zomato is now Eternal btw 😎

Why did Zomato share price shoot up today? 🤔 @ask_fuzz