Brokerage firm Zerodha has invested $5 million (around Rs 45 crore) in stock analysis platform Tijori Finance, the company said in a statement on November 27.
“With the new investment, we are looking to expand into the enterprise segment with a suite of artificial intelligence products that help decide investment decisions of mutual funds, asset managers and insurance companies,” Tijori founder and CEO Siddharth Hegde told Moneycontrol.
Tijori powers stock analysis for retail investors on Zerodha’s trading and investment platform Kite.
The company did not disclose the valuation or Zerodha's stake in the company after the new funding round.
AI-powered products
The company is launching AI-based "Call Monitor," an enterprise product that focuses on tracking quarterly earnings calls, including an AI summary and transcript, within two minutes of the call filing, significantly faster than the 24 to 48 hours that companies typically take.
“A key feature of Call Monitor is the 'management consistency check,' which flags if a company's management has made conflicting statements across current and historical calls, offering investors critical signals,” said Hegde.
AI cost pushes Tijori towards enterprise products
The company aims to have 70 percent of future products as enterprise-grade offerings because of the high cost of advanced AI queries, while 30 percent will be retail features integrated into Tijori or Zerodha.
In addition to the financial statements, Tijori provides data points, including current and historic visualisations for financials, operational metrics, revenue mix breakdown by product and geography, raw material prices, supply chain links, and comparisons with competition, among other features.
The company is also launching AI-powered "Alerts" for clients, which will provide a summary of all the regulatory filings of companies in an easily understandable paragraph.
Development and input for AI models
According to Hegde, the company trained its AI platform on 45 different types of regulatory filings and investor presentations of companies released over the past 15 years to help make unstructured data and narratives into structured formats.
The company used a mix of open-source models and frontier models such as Gemini, which accounted for approximately 44 percent of their usage. Hegde said Tijori's core expertise is not competing with LLMs but supplying "clean underlying data" to the models to prevent conflicting or confusing outputs.
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