Tech Mahindra schedules investor meet at UBS India Summit 2026

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Reviewed by
Jubin VScanX News Team
Key Highlights
  • Tech Mahindra to hold investor meet on September 11, 2026
  • Event is part of UBS India Summit 2026 in Mumbai
  • Sessions will be physical, involving one-on-one and group formats
  • No unpublished price-sensitive information to be shared
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Tech Mahindra has scheduled an investor interaction for September 11, 2026, as part of the UBS India Summit 2026. The company confirmed the event in a filing with stock exchanges on September 7, 2026.

The meeting will take place in Mumbai in a physical format. Tech Mahindra leadership will engage with analysts, investors, and funds through both one-on-one and group sessions.

Event Details

The interaction is scheduled to begin at 10:00 am IST on Friday, September 11, 2026. The company noted that the date and time are subject to change due to exigencies on the part of the company or participants.

Detail Particulars
Event UBS India Summit 2026
Date September 11, 2026
Time 10:00 am IST
Venue Mumbai
Mode Physical
Audience Analysts/Investors/Funds

Regulatory Disclosure

The intimation was issued under Regulation 30(6) read with Schedule III of the SEBI Listing Regulations. Tech Mahindra stated that no unpublished price-sensitive information is proposed to be shared during the interaction.

Ruchie Khanna, Company Secretary, signed the disclosure. The full intimation is available on the company’s website.

Historical Stock Returns for Tech Mahindra

1 Day5 Days1 Month6 Months1 Year5 Years
-2.06%-4.69%-5.13%+15.75%+4.24%0.0%

What specific strategic initiatives or growth verticals is Tech Mahindra likely to highlight to justify its valuation during the UBS India Summit?

How might the outcomes of this investor interaction influence short-term trading volume and stock price volatility for Tech Mahindra?

Are analysts expected to raise concerns regarding global IT spending slowdowns or margin pressures during the one-on-one sessions?

Tech Mahindra, Uniphore partner to build Agentic AI Factory

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Reviewed by
Naman SScanX News Team
Key Highlights
  • Tech Mahindra partners with Uniphore to build an Agentic AI Factory
  • Integration uses Uniphore’s Business AI Cloud for SLMs and AI agents
  • Initial focus is on Retail sourcing and BFSI claims processing
  • Partnership aims to scale AI adoption across EMEA and North America
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Tech Mahindra has partnered with Uniphore to co-build an Agentic AI Factory aimed at accelerating enterprise AI adoption across EMEA and North America.

The collaboration integrates Uniphore’s Business AI Cloud (BAIC) platform with Tech Mahindra’s digital transformation capabilities. This setup enables the development of domain-specific Small Language Models (SLMs) and AI agents tailored for enterprise workflows.

Strategic Focus Areas

The partnership initially targets two high-priority industry domains:

  • Retail: Solutions will focus on Strategic Sourcing, applying agentic AI to procurement workflows, supplier intelligence, and cost optimization.
  • BFSI: Initial solutions will address Unclaimed Benefits and Claims Processing, prioritizing accuracy, compliance, and resolution speed.

Birendra Sen, President of Business Process Services at Tech Mahindra, noted that enterprises are moving beyond generic AI toward contextual, outcome-driven solutions. He stated the partnership allows clients to unlock tangible business value in sectors like BFSI and Retail.

Platform Capabilities

Uniphore’s BAIC platform unifies enterprise data, knowledge, models, and AI agents with built-in security and governance. Carl Borsody, Chief Revenue Officer at Uniphore, highlighted Tech Mahindra’s presence in 90 countries with over 1,100 global clients as a key asset for scaling this repeatable delivery motion.

The companies plan to extend the Agentic AI Factory model to additional industries and geographies in the coming months.

Historical Stock Returns for Tech Mahindra

1 Day5 Days1 Month6 Months1 Year5 Years
-2.06%-4.69%-5.13%+15.75%+4.24%0.0%

How will the focus on Small Language Models (SLMs) impact the cost structure and deployment speed for enterprises compared to using large foundational models?

What specific regulatory hurdles might arise when deploying agentic AI for claims processing and unclaimed benefits in the BFSI sector across different EMEA jurisdictions?

Which additional industry verticals are most likely to be targeted next by the Agentic AI Factory, and what unique workflow challenges do they present?

More News on Tech Mahindra

1 Year Returns:+4.24%