The development demonstrates the gradual evolution of augmented investment banking, where machine intelligence enhances rather than replaces human advice in decision-making.While investor engagement in India has increased significantly in recent years, IPO execution is still largely based on fragmented communications and static spreadsheets.
S45 said its platform aims to address this structural gap by introducing an integrated operating system designed to bring transparency and data-validated precision to the listing lifecycle.
“Indian capital markets have entered an era of unprecedented size and maturity, yet the execution frameworks that power most IPOs remain entrenched in frictionless, old methods that have not kept pace with this growth,” said Deepank Bhandari, co-founder of S45. “This disconnect often leaves even the strongest companies navigating a ‘black box’ of fragmented workflows and manual administrative hurdles during their most critical transition.”
Bhandari said the company plans to close that gap by delivering an institutional-grade infrastructure layer that enables issuers to deliver data-validated precision. He claims that by combining AI-driven governance and real-time demand data, the platform will take the industry beyond traditional approaches and towards higher transparency and certainty of execution. A multi-disciplinary team led by Bhandari, Pankaj Harlalka, Aman Singh and Tushar Sharma established S45 to resolve structural inefficiencies in the capital markets execution framework.
During the pilot phase, the platform was used for 26 IPOs in the aerospace, chemical, healthcare and technology industries. The company’s proprietary data engineering stack tracks investor demand in real-time, resulting in a total of Rs 1,120.8 crore raised through these listings.
According to S45, mandates on the platform recorded an average subscription of 168.4 times, with peak demand reaching 325 times. The platform generated cumulative bids from investors totaling Rs 3,64,719 crore. Issuers achieved an average listing gain of 43.1%, with an average listing population of 47.1% over the last twelve months.
The platform integrates features such as eligibility verification, version-controlled disclosure management, SEBI query lifecycle tracking and valuation models linked to live industry comparisons. The company describes this approach as ‘precision banking’, aimed at moving intermediaries and issuers away from alignment and towards improved pricing and investor engagement post-listing.
As public market activity in India remains robust, S45 said it is positioning its AI-native stack as a core operations layer for the next generation of Indian issuers seeking execution certainty and global governance standards.
The platform is designed to modernize the end-to-end IPO lifecycle, reducing IPO readiness assessment to 30 minutes and Red Herring prospectus preparation time to an expected seven days. By integrating AI-driven validation and regulatory process mapping, the system provides boards and chief financial officers with real-time visibility into the listing process while reducing regulatory friction.
S45 advises Indian companies on SME and mainboard IPOs, combining sector-specific banking knowledge with proprietary technology for IPO readiness, valuation intelligence and bookbuilding optimization.
#S45 #introduces #AIbased #IPO #execution #platform