Informed Technologies India Limited has confirmed Friday, September 18, 2026, as the record date for its 68th Annual General Meeting. This cutoff determines shareholder eligibility for voting rights at the upcoming meeting.

The company issued the intimation pursuant to Regulation 42 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. The notice was signed by Company Secretary and Compliance Officer Neha Rane on September 1, 2026.

Meeting Schedule and Agenda

The 68th Annual General Meeting is scheduled for Friday, September 25, 2026, at 3:00 pm. The event will be conducted through video conferencing or other audio-visual means (VC/OAVM).

Key agenda items include:

• Adoption of audited standalone and consolidated financial statements for FY26.
• Re-appointment of Ms. Sia Khandelwal as a director.

Voting Process

Shareholders holding equity shares as of the September 18, 2026, cutoff are eligible to vote. Remote e-voting will be facilitated by National Securities Depository Limited (NSDL).

Mr. Sanam Umbargikar has been appointed as the scrutinizer for the voting process. The register of members and share transfer books will remain closed from Saturday, September 19, 2026, to Friday, September 25, 2026.

Director Re-Appointment

Ms. Sia Khandelwal retires by rotation and offers herself for re-appointment. She serves as a Non-Executive Non-Independent Director and is part of the promoter group.

Ms. Khandelwal holds a BA in Urban Studies and Economics from Barnard College of Columbia University and a PG diploma in Indian Aesthetics. She is responsible for business diversification and organizational development within the company.

Participation Guidelines

Members can attend the meeting via VC/OAVM without physical presence. The facility will be available to at least 1,000 members on a first-come, first-served basis. Large shareholders holding 2% or more shareholding, promoters, and institutional investors can attend without restriction.

Shareholders wishing to raise questions must submit queries by Friday, September 18, 2026, at 5:00 pm via registered email. The annual report and financial statements are available electronically on the company website and stock exchange portals.

Informed Technologies has appointed Daniel Sogorka as Chief Executive Officer to lead its next phase of growth in AI-powered fraud protection and loan funding acceleration.

Sogorka, a fintech veteran with two decades of lending industry leadership, joins from senior roles at Black Knight / ICE, ServiceLink / FNF, Sagent, and Rocket Pro. His appointment marks a strategic shift for the San Mateo-based company, which aims to expand beyond its original focus in auto lending into adjacent vertical markets.

Scaling Data Advantage

The company currently processes more than 5 million applications annually. Its Fraud Data Network, built on over 100 million documents and 2 billion data points, underpins its ability to detect fraud and reduce manual review times for lenders.

Since its founding, Informed has helped automate more than $350 billion in loan originations. This volume includes partnerships with eight of the top ten U.S. auto lenders, alongside numerous credit unions and consumer lenders.

Leadership Perspective

Sogorka emphasized the platform’s data depth as a competitive moat. "With more than 2 billion data points behind the platform, we can catch what others miss," he said, noting that this foundation will support expansion into new markets while maintaining trust with existing clients.

John DeLoche, Co-Founder and Managing Partner at Invictus Growth Partners, stated that Sogorka brings the scaling experience required for this next chapter. William Nettles, also a Co-Founder and Managing Partner at Invictus, highlighted the combination of proprietary data advantage and workflow automation as key drivers for continued growth.

What the Numbers Show

The scale of Informed’s historical performance underscores the density of its data network. With $350 billion in automated loan originations derived from just 2 billion data points, the average value per data point suggests high-leverage utility in fraud detection workflows. This ratio indicates that the platform’s value proposition relies less on sheer volume of transactions and more on the precision of its underlying data assets, allowing it to serve top-tier lenders with significant risk mitigation needs.