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Tevogen.AI Reports Advancements in PredicTcell™ Beta, Demonstrates Improved Precision Metrics and Expands Proprietary AI Infrastructure

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Tevogen (Nasdaq: TVGN) reported advances in its Tevogen.AI PredicTcell™ beta, citing improved model metrics and expanded proprietary data and infrastructure on March 13, 2026.

The company reports a database of 655 million peptide sequences, training on 1.8 million data points, recall rising to 92%, and precision to 48%.

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Positive

  • Database expanded to 655 million peptide sequences
  • Recall improved from 87% to 92%
  • Precision increased from 40% to 48% (20% relative gain)
  • Model scale trained on 1.8 million data points (~20x more robust)
  • Three production AI agents enable continuous learning and literature monitoring

Negative

  • Model precision remains under 50%, leaving substantial false positives
  • No binding pharmaceutical partnerships announced to advance peptide candidates

Key Figures

Peptide sequences: 655 million Proteins covered: 24 million Data points: 16 billion +5 more
8 metrics
Peptide sequences 655 million Tevogen.AI proprietary database size across disease areas
Proteins covered 24 million Proteins contributing to >655M peptide sequences
Data points 16 billion Total data points in Tevogen.AI database
Publications analyzed 37 million Scientific publications feeding continuous AI enrichment
Recall improvement 87% to 92% PredicTcell™ beta recall gains in recent testing
Precision improvement 40% to 48% PredicTcell™ beta precision gains in recent testing
Training data points 1.8 million Current PredicTcell™ version training sample size
Active peptide candidates 14 Peptide candidates monitored by production AI agents

Market Reality Check

Price: $0.0347 Vol: Volume 219,675 is 75% abo...
high vol
$0.0347 Last Close
Volume Volume 219,675 is 75% above the 20-day average of 125,319, indicating elevated interest ahead of this AI update. high
Technical Price at $0.0347 is trading below the 200-day MA of $0.05 and remains 56.63% under the 52-week high.

Peers on Argus

TVGNW is up 2.06% with elevated volume, while peers show mixed moves: CELUW up 1...

TVGNW is up 2.06% with elevated volume, while peers show mixed moves: CELUW up 16%, NLSPW down 12.25%, BCTXW down 50%, and others flat. This pattern points to a stock-specific reaction to Tevogen.AI’s update rather than a broad sector rotation.

Previous AI Reports

5 past events · Latest: Sep 25 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Sep 25 AI platform update Positive +8.8% Major PredicTcell™ beta data expansion and AI performance enhancements.
Sep 10 Conference participation Positive +6.9% Tevogen.AI leadership featured on Databricks DATA + AI World Tour panel.
Aug 11 Stockholder letter Positive +24.4% Letter highlighting AI expansion, strong capital position, and partnerships.
Aug 07 Non-dilutive funding Positive +1.9% Non-dilutive funding to accelerate Tevogen.AI and AI-driven drug discovery.
Aug 01 Stockholder letter Positive -4.9% Letter on growth, AI expansion, and partnerships despite negative price move.
Pattern Detected

AI-related announcements have generally drawn positive reactions, with 4 aligned moves and 1 divergence, suggesting investors often reward Tevogen’s AI progress.

Recent Company History

Over the past year, Tevogen has repeatedly highlighted Tevogen.AI and the PredicTcell™ platform, including data expansions to ~1.4 million training records and over 10.7 billion data points, plus strategic work with Microsoft and Databricks. Several AI-tagged updates generated double-digit percentage gains, though one stockholder letter saw a negative move. Today’s PredicTcell™ beta precision and recall gains fit this ongoing AI-focused narrative and extend the prior technology milestones.

Historical Comparison

+7.4% avg move · In the last 5 AI-tagged releases, average 24h move was 7.42%. Today’s 2.06% gain is more muted but d...
AI
+7.4%
Average Historical Move AI

In the last 5 AI-tagged releases, average 24h move was 7.42%. Today’s 2.06% gain is more muted but directionally consistent with prior AI enthusiasm.

AI updates have progressed from initial PredicTcell™ launch and large data expansions to securing non-dilutive funding and partnerships, and now to improved beta precision/recall and expanded proprietary peptide datasets.

Regulatory & Risk Context

Active S-3 Shelf
Shelf Active
Active S-3 Shelf Registration 2025-06-20

The company has an active Form S-3 shelf registration dated 2025-06-20, effective through 2028-06-20, with at least 4 recorded usage events. This provides flexibility to issue securities under the shelf when management chooses, which can influence future capital-raising dynamics.

Market Pulse Summary

This announcement highlights substantial expansion of Tevogen.AI’s dataset to billions of data point...
Analysis

This announcement highlights substantial expansion of Tevogen.AI’s dataset to billions of data points and meaningful gains in PredicTcell™ recall and precision, along with three production AI agents monitoring 14 peptide candidates. Historically, AI-tagged news for this name has produced average moves of 7.42%, underscoring investor focus on this vertical. Investors may watch future AI performance metrics, partnership executions, and capital-raising activity under the existing shelf registration as key factors shaping the warrant’s risk–reward profile.

Key Terms

immunologically active peptides, proteome, hla type, wet lab
4 terms
immunologically active peptides medical
"application (WO 2025/129197), which outlines novel machine learning systems for predicting immunologically active peptides, a critical step"
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.
proteome medical
"ultimately predict the proteome for any given combination of protein and HLA type."
The proteome is the complete set of proteins produced by a cell, tissue, or organism at a given time — like a toolbox showing which tools are being used right now. For investors, proteome data matters because it reveals disease mechanisms, potential drug targets, and biomarkers that can drive product value, clinical success, or competitive advantage in biotech and healthcare investments.
hla type medical
"ultimately predict the proteome for any given combination of protein and HLA type."
HLA type is the genetic pattern of proteins on a person’s cells that help the immune system tell self from foreign tissue; doctors identify it by “typing” the genes that control these markers. Investors should care because HLA types affect how patients respond to transplants, vaccines, and certain drugs, so they can shape clinical trial results, regulatory approval, and the market size for therapies—like matching puzzle pieces, the right fit determines success or failure.
wet lab technical
"Monitor newly published scientific literatureIntegrate wet lab results back into the AI system"
A wet lab is a physical laboratory where scientists handle liquids, biological materials, chemicals and live samples to run experiments, tests and product development. For investors, wet labs are where a biotech or pharmaceutical company proves that a drug, diagnostic or process actually works, so the quality, capacity and regulatory compliance of these labs can directly affect timelines, costs, and the credibility of scientific claims — like a kitchen where recipes are tested before going to market.

AI-generated analysis. Not financial advice.

WARREN, N.J., March 13, 2026 (GLOBE NEWSWIRE) -- Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN) today announced performance advancements for its artificial intelligence platform, operated through Tevogen.AI.

Tevogen.AI was built to solve a critical challenge in drug development: identifying biological targets which are most likely to work in patients, before entering costly clinical trials.

Over the past year, the Company has built a proprietary database of more than 655 million peptide sequences derived from approximately 24 million proteins, representing nearly 16 billion data points across multiple disease areas. This database is continuously enriched using analysis of 37 million scientific publications.

Improved Prediction Accuracy

In recent beta testing of its PredicTcell™ model, Tevogen reported:

  • Recall improved from 87% to 92% (the model is finding more of the right targets)
  • Precision improved from 40% to 48% (fewer incorrect predictions)
  • Higher overall accuracy scores
  • Increased true positives and reduced missed targets
  • Dramatically expanded training sample size

These results allow the model to improve in identifying which immune targets are likely to succeed. The current version, trained on 1.8 million data points, is nearly 20 times more robust than the initial model, reflecting rapid scale and learning acceleration.

Drug development today relies heavily on trial-and-error, and by improving target prediction before clinical testing, Tevogen aims to:

  • Reduce time to market
  • Lower development costs
  • Increase probability of clinical success
  • Extend the value of patent-protected products

This development builds on Tevogen.AI’s  published international patent application (WO 2025/129197), which outlines novel machine learning systems for predicting immunologically active peptides, a critical step in developing targeted therapies for cancers and infectious diseases.

Production AI Agents and Continuous Learning

Tevogen.AI now operates three production AI agents that:

  1. Continuously evaluate 14 active peptide candidates
  2. Monitor newly published scientific literature
  3. Integrate wet lab results back into the AI system

This creates a continuous learning loop between AI predictions and biological validation, strengthening future performance.

Next Steps and Partnership Strategy

As predictive accuracy continues to improve, Tevogen intends to explore partnerships with pharmaceutical companies to advance select peptide candidates for production and development.

Mittul Mehta, CIO & Head of Tevogen.AI, stated, “Our goal is to reduce trial-and-error in immunotherapy design and ultimately predict the proteome for any given combination of protein and HLA type. As our prediction quality improves, we believe we can meaningfully increase success rates while lowering development risk. That combination has the potential to create significant long-term value.”

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.

Forward Looking Statements

This press release contains certain forward-looking statements, including without limitation statements relating to: the potential transactions and the potential benefits of the transactions; Tevogen’s plans for its research and manufacturing capabilities; expectations regarding future growth; expectations regarding the healthcare and biopharmaceutical industries; and Tevogen’s development of, the potential benefits of, and patient access to its product candidates for the treatment of infectious diseases and cancer. Forward-looking statements can sometimes be identified by words such as “may,” “could,” “would,” “expect,” “anticipate,” “possible,” “potential,” “goal,” “opportunity,” “project,” “believe,” “future,” and similar words and expressions or their opposites. These statements are based on management’s expectations, assumptions, estimates, projections and beliefs as of the date of this press release and are subject to a number of factors that involve known and unknown risks, delays, uncertainties and other factors not under the company’s control that may cause actual results, performance or achievements of the company to be materially different from the results, performance or other expectations expressed or implied by these forward-looking statements.

Factors that could cause actual results, performance, or achievements to differ from those expressed or implied by forward-looking statements include, but are not limited to: risks inherent in diligence and negotiation of the proposed transactions; the risk that the transactions may not be consummated on favorable terms or at all; the risk that the expected benefits of the transactions may not be realized on a timely basis or at all; changes in the markets in which Tevogen competes, including with respect to its competitive landscape, technology evolution, or regulatory changes; changes in domestic and global general economic conditions; the risk that Tevogen may not be able to execute its growth strategies or may experience difficulties in managing its growth and expanding operations; the risk that Tevogen may not be able to develop and maintain effective internal controls; the failure to achieve Tevogen’s commercialization and development plans and identify and realize additional opportunities, which may be affected by, among other things, competition, the ability of Tevogen to grow and manage growth economically and hire and retain key employees; the risk that Tevogen may fail to keep pace with rapid technological developments to provide new and innovative products and services or make substantial investments in unsuccessful new products and services; that Tevogen will need to raise additional capital to fully realize its business plans; risks related to the ability to develop, license or acquire new therapeutics; the risk of regulatory lawsuits or proceedings relating to Tevogen’s business; uncertainties inherent in the execution, cost, and completion of preclinical studies and clinical trials; risks related to regulatory review, approval and commercial development; risks associated with intellectual property protection; Tevogen’s limited operating history; and those factors discussed or incorporated by reference in Tevogen’s most recent Annual Report on Form 10-K and subsequent filings with the SEC.

You should not place undue reliance on forward-looking statements, which speak only as of the date they are made. Tevogen undertakes no obligation to update any forward-looking statements, except as required by applicable law.

Contacts

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/e46645d4-7bf3-4cb6-91d3-cb7ede5a0064


FAQ

What improvements did Tevogen (TVGN) report for PredicTcell™ on March 13, 2026?

PredicTcell™ showed improved recall and precision in beta testing, with recall at 92% and precision at 48%. According to the company, the model now trains on 1.8 million data points and benefits from a 655 million–sequence peptide database for broader learning.

How large is Tevogen.AI’s proprietary database reported by Tevogen (TVGN)?

Tevogen.AI’s database contains 655 million peptide sequences and about 16 billion data points. According to the company, it integrates data from roughly 24 million proteins and enriches training using 37 million scientific publications.

What does PredicTcell™’s precision increase mean for TVGN drug development?

Higher precision (40% to 48%) suggests fewer incorrect target predictions, potentially reducing wasted preclinical efforts. According to the company, better precision aims to lower development costs and increase probability of clinical success.

What production capabilities did Tevogen (TVGN) describe for Tevogen.AI?

Tevogen.AI now runs three production AI agents that continuously evaluate peptide candidates and monitor literature. According to the company, these agents feed wet‑lab results back into the system to create a continuous learning loop.

Are there confirmed pharma partnerships to develop PredicTcell™ candidates for TVGN?

No binding partnerships were announced; Tevogen said it intends to explore collaborations with pharmaceutical companies. According to the company, future partnerships are planned to advance select peptide candidates toward development.
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Biotechnology
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