InfoBay Unlisted Shares

Challenges in Infobay.AI Limited's Business

Here are the challenges faced by the company:

• Business model transition risk: The company has undergone a significant pivot from EdTech to AI data infrastructure. Executing this transition while retaining revenue momentum, client relationships, and operational focus carries inherent execution risk.
• Founder minority stake: As per the last available cap table data, founders hold approximately 16.47% of the company, with angels being the largest shareholder category at approximately 28.63%. This ownership structure may limit founder control over key strategic decisions.
• Funding gap: The company's last external funding round was in May 2022. Over three years without a fresh institutional round in a capital-intensive AI data business raises questions around growth runway and future fundraising ability.
• Client concentration and enterprise dependency: The AI training data business is highly dependent on enterprise and AI lab clients. Loss of key accounts or budget cuts in AI spending by large technology firms can materially impact revenues.
• Competitive intensity: The global AI training data market includes well-funded competitors such as Labelbox, Collibra, and Scale AI. Competing on quality, pricing, and turnaround time against better-capitalised players is an ongoing challenge.
• Limited public financial disclosure: As an unlisted company with no DRHP filed, audited financial data is not available in the public domain beyond aggregator-level estimates, limiting investor visibility into the company's true financial health.

Financial Review of Infobay.AI Limited

Here are some highlights of the financial performance of Infobay.AI Limited for FY 2025.

• Revenue is reported at approximately ₹49.7 crore for FY25 as per third-party aggregator data, reflecting a 1-year revenue CAGR of approximately 315%
• EBITDA CAGR over the same period is reported at approximately 931%, though absolute EBITDA figures are not available in public sources

Note: Detailed audited financials for Infobay.AI Limited are not available in the public domain as the company has not filed a DRHP and is not listed on any stock exchange. The FY25 revenue figure cited above is sourced from third-party aggregator platforms and has not been independently verified.

Infobay CCPS

Convertible Preference Shares (CCPS) are a hybrid instrument commonly used by Indian companies, particularly in the unlisted and pre-IPO space. They combine features of preference shares and equity, generally carrying a preferential right to dividend and capital repayment over equity shares, while being convertible into equity shares at a later date under pre-agreed terms.

In the context of Infobay.AI Limited, market participants sometimes refer to Infobay CCPS when discussing instruments linked to the company in the unlisted segment. As with other unlisted securities, such instruments (where available) are traded privately between buyers and sellers rather than on the stock exchanges. Investors interested in any instrument referred to as Infobay CCPS should carefully examine the specific terms of the instrument, including face value, conversion terms, dividend rate (if any), lock-in provisions, and transfer restrictions. 

Quick Summary

Infobay.AI Limited is a Lucknow-based technology company that has transitioned from its origins as EduGorilla, a competitive exam preparation platform, to become a provider of expert-verified AI training data and post-training intelligence for global AI development teams. The company holds a large proprietary corpus spanning 20 billion+ data samples across audio, medical, textbook, coding, and multimodal categories, with coverage across 35+ languages and clients that include Microsoft, Meta, Google, Amazon, LG, and Alibaba.

Click to visit the official website of Infobay.AI Limited.