Monte Carlo Fashions Limited ( Monte Carlo Fashions ) will hold its post-results conference call for the first quarter of fiscal year 2027 (Q1FY27) on Thursday, August 6, 2026, at 11:00 AM IST. The event is scheduled to provide investors and analysts with insights into the company’s financial performance following the Board of Directors meeting convened on Wednesday, August 5, 2026. This disclosure ensures transparency regarding the company's quarterly operational and financial outcomes.

The intimation was issued in compliance with Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. A copy of the schedule is available on the company’s website, www.montecarlocorporate.com . The conference call aims to address queries from stakeholders regarding the results announced during the preceding board meeting.

Key Participants

The conference call will be led by senior management officials who will discuss the quarter's performance. The participating executives include:

Ankur Gauba, the Company Secretary and Compliance Officer, signed the intimation letter dated July 25, 2026. His ICSI Membership Number is FCS 10577.

Dial-In Details

Investors can join the conference call using the universal access numbers provided by Emkay Global Financial Services Ltd. Pre-registration is recommended to avoid wait times and to use the Express Join with DiamondPass™ feature.

Universal Access Numbers: +91 22 6280 1325 / +91 22 7115 8226

International toll-free numbers are available for participants in Argentina, Australia, Belgium, Canada, China, France, Germany, Hong Kong, Italy, Japan, Netherlands, Poland, Singapore, South Korea, Sweden, Thailand, UK, and USA.

For further information, Devanshu Bansal from Emkay Global Financial Services Ltd can be contacted at devanshu.bansal@emkayglobal.com or via telephone at +91 22 6612 1385.

Monte Carlo today announced its integration with Agent Bricks, Databricks' platform to build, deploy, and govern AI agents on enterprise data. This development extends Monte Carlo’s observability capabilities to the agent layer, providing enterprises with a continuous, unified view across the full Databricks Data Intelligence Platform. The integration aims to help organizations distinguish between data, model, and pipeline failures to ensure the reliability of AI agents in production.

Enterprises utilizing Databricks rely on monitoring to maintain the health of data underlying analytics and AI. The integration connects three interconnected layers of the stack. The first layer, Delta Lake & Data Tables, offers continuous monitoring for freshness, schema drift, volume anomalies, and quality degradation. The second layer, Lakeflow, provides health monitoring, anomaly detection, and end-to-end lineage across data engineering workflows. The third layer, Agent Bricks, delivers observability across tool calls, retrieval steps, model interactions, orchestration workflows, and data inputs.

Unified Observability Layers

The integration creates a comprehensive audit trail from raw data in Delta Lake to actions taken by deployed agents. This structure allows engineering teams to trace failures, validate data reliability, and identify root causes of agent issues.

Barr Moses, co-founder and CEO of Monte Carlo, emphasized the necessity of visibility in the new infrastructure layer. "Deploying agents in production means managing an entirely new layer of infrastructure — and most enterprises have no visibility into it," said Moses. "Databricks customers now have a single, cohesive view of everything their agents run on and everything their agents do."

Michael Weiss, AVP of Product Management at Nasdaq, highlighted the importance of data trust. "Even if you have access to all of the information in your entire data ecosystem, if you can't trust the data, then it's no good," said Weiss. The integration is available now for enterprises running on the Databricks Data Intelligence Platform.