IIT Madras and Ohio State University researchers have unveiled PURE, an AI framework that generates drug-like molecules with enhanced lab synthesizability
Science

IIT Madras and Ohio State University researchers have unveiled PURE, an AI framework that generates drug-like molecules with enhanced lab synthesizability. This innovative approach uses reinforcement learning to mimic real chemical reactions

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Tata Capital shares make muted market debut; end over 1 pc higher

Posted By: Ramesh Sharma Posted On: Oct 13, 2025Share Article
New Delhi, Oct 13 (PTI) Shares of non-banking financial company Tata Capital Ltd on Monday made a muted market debut and ended over 1 per cent higher against the issue price of Rs 326. The stock started trading at Rs 330, up 1.22 per cent from the issue price on both BSE and NSE.New Delhi, Oct 13 (PTI) Shares of non-banking financial company Tata Capital Ltd on Monday made a muted market debut and ended over 1 per cent higher against the issue price of Rs 326.The stock started trading at Rs 330, up 1.22 per cent from the issue price on both BSE and NSE.During the day, shares of the firm hit a high of Rs 332.80 and a low of Rs 326.15 on the BSE. The stock finally ended at Rs 330.40, up 1.34 per cent.At the NSE, the stock climbed 2.14 per cent to Rs 333 in intra-day trade. It later ended at Rs 330.50, up 1.38 per cent.The company's market valuation stood at Rs 1,40,250.47 crore.In volume terms, 99.83 lakh shares of the firm were traded at the BSE and 1,176.12 lakh shares on the NSE during the day.

Tata Capital shares make muted market debut; end over 1 pc higher

New Delhi, Oct 13 (PTI) Shares of non-banking financial company Tata Capital Ltd on Monday made a muted market debut and ended over 1 per cent higher against the issue price of Rs 326.

The stock started trading at Rs 330, up 1.22 per cent from the issue price on both BSE and NSE.

During the day, shares of the firm hit a high of Rs 332.80 and a low of Rs 326.15 on the BSE. The stock finally ended at Rs 330.40, up 1.34 per cent.

At the NSE, the stock climbed 2.14 per cent to Rs 333 in intra-day trade. It later ended at Rs 330.50, up 1.38 per cent.

The company's market valuation stood at Rs 1,40,250.47 crore.

In volume terms, 99.83 lakh shares of the firm were traded at the BSE and 1,176.12 lakh shares on the NSE during the day.

The initial public offering of Tata Capital Ltd was fully subscribed on the final day of bidding last Wednesday. The company's Rs 15,512 crore share sale received 1.95 times subscription.

Tata Capital's IPO is the largest issue of this year. The price range for the offer was Rs 310-326 per share.

The Initial Public Offering (IPO), had a total of 47.58 crore shares, including a fresh issue of 21 crore equity shares and an Offer For Sale (OFS) of 26.58 crore shares.

Proceeds from the IPO will be used to strengthen the company's Tier-1 capital base, supporting future capital requirements, including onward lending.

This marked Tata Group's second public listing in recent years, following the debut of Tata Technologies in November 2023.

The IPO was undertaken in line with the Reserve Bank of India's (RBI) listing mandate for upper-layer NBFCs, which requires them to be listed within three years of classification.

Tata Capital was designated as an upper-layer NBFC in September 2022.

With a portfolio of more than 25 lending products, the company caters to a diverse customer base, including salaried and self-employed individuals, entrepreneurs, small businesses, SMEs, and corporates.

In addition to lending, Tata Capital distributes third-party products such as insurance and credit cards, offers wealth management services, and acts as a sponsor and investment manager to private equity funds. PTI SUM SUM MR

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IIT Madras and Ohio State University researchers have unveiled PURE, an AI framework that generates drug-like molecules with enhanced lab synthesizability
Science
IIT Madras, Ohio State University develop AI framework to aid drug discovery

IIT Madras and Ohio State University researchers have unveiled PURE, an AI framework that generates drug-like molecules with enhanced lab synthesizability. This innovative approach uses reinforcement learning to mimic real chemical reactions

4 months ago


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