Tevogen CIO and Head of Tevogen.AI Mittul Mehta to Speak at Microsoft Fabric Community Conference (FabCon 2026)

Rhea-AI Summary

Tevogen (Nasdaq: TVGN) announced that Mittul Mehta, Chief Information Officer and Head of Tevogen.AI, will speak at the Microsoft Fabric Community Conference (FabCon 2026) in Atlanta March 16–20, 2026. Mr. Mehta will appear in two sessions on March 18 and March 19 covering agentic AI, adaptive data pipelines, governance, and enterprise readiness.

The sessions tie to Tevogen.AI’s work applying advanced machine learning to biomedical discovery, including its published international patent application (WO 2025/129197).

News Market Reaction – TVGNW

+1.93%

+1.93% Session close to close

In the Mar 18 session, TVGNW gained 1.93%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement positions Tevogen.AI within a high-profile Microsoft Fabric ecosystem, highlightin...

Analysis

This announcement positions Tevogen.AI within a high-profile Microsoft Fabric ecosystem, highlighting sessions on agentic AI and adaptive data pipelines at FabCon 2026. It reinforces earlier AI milestones, including large proprietary peptide datasets and improved PredicTcell™ performance metrics reported on Mar 13, 2026. Investors may track how such visibility translates into concrete platform enhancements, partnerships, or funding events similar to the prior $1 million non-dilutive support for Tevogen.AI.

Key Figures

FabCon 2026 dates: March 16–20, 2026 Session time: 4:30PM – 5:05PM Session time: 4:15PM – 5:15PM +5 more

8 metrics

FabCon 2026 dates March 16–20, 2026 Microsoft Fabric Community Conference schedule

Session time 4:30PM – 5:05PM From Risk to Reward session on March 18

Session time 4:15PM – 5:15PM Agentic Data Engineering session on March 19

Peptide sequence database 655 million sequences PredicTcell™ beta proprietary dataset (Mar 13, 2026 AI update)

Training data points 1.8 million data points PredicTcell™ beta training set (Mar 13, 2026 AI update)

Recall 92% PredicTcell™ beta model performance metric

Precision 48% PredicTcell™ beta model performance metric

Non-dilutive funding $1 million KRHP LLC funding to advance Tevogen.AI (Aug 7, 2025)

Previous AI Reports

5 past events · Latest: Mar 13 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
Mar 13	PredicTcell beta update	Positive	+0.6%	Reported improved PredicTcell™ metrics and expanded proprietary peptide data assets.
Sep 25	AI data expansion	Positive	+8.8%	Announced 100x expansion of PredicTcell™ beta dataset and data points with partners.
Sep 10	AI conference panel	Positive	+6.9%	CIO joined Databricks DATA + AI World Tour panel to discuss PredicTcell™ platform.
Aug 11	AI strategy letter	Positive	+24.4%	Stockholder letter highlighted AI expansion, strong capital position, and partnerships.
Aug 07	AI funding grant	Positive	+1.9%	Disclosed non-dilutive funding and grant support to accelerate Tevogen.AI program.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements have generally seen positive next-day moves, suggesting the market has reacted constructively to Tevogen.AI milestones and partnerships.

Recent Company History

Over the past year, Tevogen’s AI news has highlighted steady expansion of Tevogen.AI. On Aug 7, 2025, the company received $1 million in non-dilutive funding as part of a $10 million grant, supporting AI-driven drug discovery. Subsequent letters and updates in Aug–Sep 2025 emphasized AI platform growth, strong insider ownership, and collaborations with Microsoft and Databricks. On Mar 13, 2026, Tevogen reported PredicTcell™ beta improvements with large proprietary datasets. Today’s FabCon 2026 speaking role fits this ongoing AI positioning.

Key Terms

agentic ai, data engineering, machine learning, immunologically active peptides, +1 more

5 terms

agentic ai technical

"The sessions will explore how agentic AI is transforming modern data engineering..."

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

data engineering technical

"two sessions focused on the evolving intersection of data engineering and artificial intelligence"

Data engineering is the practice of collecting, cleaning and organizing large amounts of business information so it’s reliable and ready for analysis, like building and maintaining the pipes and filters that carry clean water to a city. For investors, strong data engineering means a company can measure performance accurately, spot trends faster, and scale operations without costly errors or delays, affecting forecasting, risk assessment and the value of technology investments.

machine learning technical

"Tevogen.AI’s broader efforts to apply advanced machine learning to biomedical discovery"

Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.

View in glossary

immunologically active peptides medical

"patent application (WO 2025/129197), which outlines novel systems for predicting immunologically active peptides"

Short chains of amino acids that can stimulate, guide or dampen the body's immune response; they act like tiny keys that fit specific immune 'locks' to teach the immune system what to attack or to calm it down. Investors care because these peptides are often the active ingredient in vaccines, immune therapies and diagnostic tests, and their design affects a product’s effectiveness, safety, manufacturing complexity, development timeline and commercial potential.

fabric data platform technical

"FabCon is Microsoft’s premier conference dedicated to its Fabric data platform"

A fabric data platform is a software layer that connects, organizes and controls data from many places—clouds, on-site servers and apps—so users and programs can find and use the right information without jumping between systems. For investors, it matters because it can cut the time and cost of getting reliable data for decisions, speed product development and improve compliance and security, acting like a unified plumbing and control center for a company’s information.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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WARREN, N.J., March 18, 2026 (GLOBE NEWSWIRE) -- Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN) today announced that Mittul Mehta, Chief Information Officer and Head of Tevogen.AI, will speak at the Microsoft Fabric Community Conference (FabCon 2026), taking place March 16–20, 2026, in Atlanta, Georgia.

Mr. Mehta will participate in two sessions focused on the evolving intersection of data engineering and artificial intelligence:

• From Risk to Reward: Modernizing the Data Estate to Power Enterprise AI
  Wednesday, March 18, 4:30PM – 5:05PM alongside Dipti Borkar, VP & GM OneLake & ISVs at Microsoft and Tripti Sethi, Data & AI Lead at Avanade.
• Agentic Data Engineering on Microsoft Fabric: Building Adaptive Pipelines
  Thursday, March 19, 4:15PM – 5:15PM alongside Nina Arora-Rowland, Data and AI Practice Lead at Avanade/Accenture, and Colin Pop, Senior Director, Analytics Architect at Avanade.

The sessions will explore how agentic AI is transforming modern data engineering, shifting pipelines from static, rules-based systems to adaptive, context-aware workflows. Topics will include emerging architectural patterns, real-world applications, and key considerations around governance, trust, and enterprise readiness as organizations adopt more autonomous data environments.

These themes align with Tevogen.AI’s broader efforts to apply advanced machine learning to biomedical discovery, including its published international patent application (WO 2025/129197), which outlines novel systems for predicting immunologically active peptides.

FabCon is Microsoft’s premier conference dedicated to its Fabric data platform, bringing together industry leaders, engineers, and innovators to explore the future of data and AI.

For more information or to connect with Mittul Mehta during the conference, please contact mittul.mehta@tevogen.com.

About Tevogen

Tevogen is a socially integrated healthcare enterprise built on the principles of affordability, efficiency, and scientific rigor. The company leverages artificial intelligence and precision T cell therapy platforms, a patient-first and cost-disciplined operating model, and engagements with global technology leaders to support the development of advanced, life-saving therapies across multiple therapeutic areas and scalable solutions for the broader healthcare system.

Tevogen Bio, the company’s lead initiative, has completed a proof-of-concept clinical trial demonstrating the potential of its single-HLA-restricted, genetically unmodified allogeneic T cells. Tevogen Bio’s pipeline spans virology, oncology, and neurology, with programs built on the company’s proprietary ExacTcell™ platform.

Tevogen.AI is designed to transform drug development by accelerating target detection, helping reduce failure rates, and supporting optimized clinical trial design through proprietary predictive technologies. The platform utilizes cloud and data services from leading technology providers, including Microsoft and Databricks, to advance its long-term ambition to predict the proteome for any given protein–HLA combination, enabling rapid and cost-efficient therapeutic discovery.

Tevogen is exploring future strategic initiatives that may include domestic generics, biosimilars, medical devices, and innovative insurance solutions for healthcare providers. Together, these programs reflect Tevogen’s mission to advance sustainable innovation and broaden patient access through a faster, more efficient, and more equitable healthcare model.

Contact

Tevogen Bio Communications
T: 1 877 TEVOGEN, Ext 701
Communications@Tevogen.com

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/8feb8757-d993-45e3-a5da-3c4087c40abb

FAQ

When will Tevogen (TVGN) present at FabCon 2026 and what are the session times?

Mittul Mehta will speak March 18 and March 19, 2026 at FabCon 2026. According to the company, sessions occur March 18, 4:30PM–5:05PM and March 19, 4:15PM–5:15PM, covering modernizing data estates and agentic data engineering on Microsoft Fabric.

Which topics will Tevogen.AI cover during the FabCon 2026 presentations by TVGN?

The presentations focus on agentic AI, adaptive pipelines, governance, and enterprise readiness. According to the company, topics include emerging architectures, real-world applications, trust, and how pipelines shift from rules-based to context-aware workflows.

Who will Mittul Mehta from TVGN share the stage with at FabCon 2026?

Mr. Mehta will appear alongside Microsoft and Avanade leaders. According to the company, co-presenters include Dipti Borkar, Tripti Sethi, Nina Arora-Rowland, and Colin Pop across the two sessions.

How does Tevogen (TVGN) link its FabCon 2026 participation to its biomedical AI work?

Tevogen connects the data engineering sessions to its biomedical machine learning efforts. According to the company, this aligns with Tevogen.AI’s published international patent application WO 2025/129197 on predicting immunologically active peptides.

How can investors or attendees contact Mittul Mehta of Tevogen (TVGN) during FabCon 2026?

Investors can request meetings or follow-ups by email. According to the company, Mittul Mehta can be contacted at mittul.mehta@tevogen.com for conference connections and additional information about the sessions.