STOCK TITAN

Tevogen Details its Artificial Intelligence Initiative, Tevogen.AI; Proprietary AI-Powered Immunotherapy with Microsoft and Databricks Partnerships

Rhea-AI Impact
(Moderate)
Rhea-AI Sentiment
(Neutral)
Tags
partnership AI
Tevogen Bio (TVGN) has unveiled details of its Tevogen.AI initiative, featuring strategic partnerships with Microsoft and Databricks to enhance its immunotherapy development. The initiative includes two patent-pending technologies: PredicTcell, which predicts immunologically active peptide complexes and T cell receptor interactions, and AdapTcell, which decodes HLA and T cell interactions. Through Microsoft's Azure platform and AI expertise, combined with Databricks' data engineering capabilities, Tevogen aims to accelerate drug discovery, reduce development costs, and expand its therapeutic pipeline. The company is expanding its headquarters to accommodate a dedicated AI team and plans to extend applications beyond Tevogen Bio's current scope. CEO Dr. Ryan Saadi highlighted the initiative's potential impact on the $5 trillion U.S. healthcare sector.
Tevogen Bio (TVGN) ha presentato i dettagli della sua iniziativa Tevogen.AI, che prevede partnership strategiche con Microsoft e Databricks per potenziare lo sviluppo di immunoterapie. L'iniziativa include due tecnologie in attesa di brevetto: PredicTcell, che prevede i complessi peptidici immunologicamente attivi e le interazioni con i recettori delle cellule T, e AdapTcell, che decodifica le interazioni tra HLA e cellule T. Grazie alla piattaforma Azure di Microsoft e all'esperienza in AI, insieme alle capacità di ingegneria dei dati di Databricks, Tevogen punta ad accelerare la scoperta di farmaci, ridurre i costi di sviluppo ed espandere il proprio portafoglio terapeutico. L'azienda sta ampliando la sede centrale per ospitare un team dedicato all'AI e prevede di estendere le applicazioni oltre l'attuale ambito di Tevogen Bio. Il CEO, Dr. Ryan Saadi, ha sottolineato il potenziale impatto dell'iniziativa sul settore sanitario statunitense, valutato 5 trilioni di dollari.
Tevogen Bio (TVGN) ha revelado detalles de su iniciativa Tevogen.AI, que incluye asociaciones estratégicas con Microsoft y Databricks para mejorar el desarrollo de inmunoterapias. La iniciativa cuenta con dos tecnologías en trámite de patente: PredicTcell, que predice complejos peptídicos inmunológicamente activos e interacciones con receptores de células T, y AdapTcell, que descifra las interacciones entre HLA y células T. A través de la plataforma Azure de Microsoft y su experiencia en inteligencia artificial, junto con las capacidades de ingeniería de datos de Databricks, Tevogen busca acelerar el descubrimiento de fármacos, reducir costos de desarrollo y ampliar su cartera terapéutica. La empresa está ampliando su sede para alojar un equipo dedicado a IA y planea extender las aplicaciones más allá del alcance actual de Tevogen Bio. El CEO, Dr. Ryan Saadi, destacó el impacto potencial de la iniciativa en el sector salud de EE. UU., valorado en 5 billones de dólares.
Tevogen Bio(TVGN)는 Microsoft 및 Databricks와의 전략적 파트너십을 포함하는 Tevogen.AI 이니셔티브의 세부 내용을 공개했습니다. 이 이니셔티브에는 두 가지 특허 출원 중인 기술이 포함되어 있습니다: 면역학적으로 활성화된 펩타이드 복합체와 T 세포 수용체 상호작용을 예측하는 PredicTcell, 그리고 HLA와 T 세포 간 상호작용을 해독하는 AdapTcell입니다. Microsoft의 Azure 플랫폼과 AI 전문성, Databricks의 데이터 엔지니어링 역량을 결합하여 Tevogen은 신약 발견을 가속화하고 개발 비용을 절감하며 치료 파이프라인을 확장하는 것을 목표로 합니다. 회사는 AI 전담 팀을 수용하기 위해 본사를 확장 중이며, Tevogen Bio의 현재 범위를 넘어 응용 분야를 확장할 계획입니다. CEO인 Dr. Ryan Saadi는 이 이니셔티브가 5조 달러 규모의 미국 의료 산업에 미칠 잠재적 영향을 강조했습니다.
Tevogen Bio (TVGN) a dévoilé les détails de son initiative Tevogen.AI, comprenant des partenariats stratégiques avec Microsoft et Databricks pour améliorer le développement de ses immunothérapies. L'initiative inclut deux technologies en cours de brevet : PredicTcell, qui prédit les complexes peptidiques immunologiquement actifs et les interactions avec les récepteurs des cellules T, et AdapTcell, qui décode les interactions entre HLA et cellules T. Grâce à la plateforme Azure de Microsoft et à son expertise en IA, combinées aux capacités d'ingénierie des données de Databricks, Tevogen vise à accélérer la découverte de médicaments, réduire les coûts de développement et élargir son portefeuille thérapeutique. L'entreprise agrandit son siège pour accueillir une équipe dédiée à l'IA et prévoit d'étendre les applications au-delà du champ actuel de Tevogen Bio. Le PDG, Dr Ryan Saadi, a souligné l'impact potentiel de cette initiative sur le secteur de la santé américain, évalué à 5 000 milliards de dollars.
Tevogen Bio (TVGN) hat Details zu seiner Tevogen.AI-Initiative vorgestellt, die strategische Partnerschaften mit Microsoft und Databricks umfasst, um die Entwicklung von Immuntherapien zu verbessern. Die Initiative beinhaltet zwei zum Patent angemeldete Technologien: PredicTcell, das immunologisch aktive Peptidkomplexe und T-Zell-Rezeptor-Interaktionen vorhersagt, sowie AdapTcell, das HLA- und T-Zell-Interaktionen entschlüsselt. Durch die Nutzung der Azure-Plattform von Microsoft und deren KI-Expertise sowie der Datenengineering-Fähigkeiten von Databricks will Tevogen die Medikamentenentwicklung beschleunigen, Entwicklungskosten senken und seine therapeutische Pipeline erweitern. Das Unternehmen erweitert seinen Hauptsitz, um ein dediziertes KI-Team unterzubringen, und plant, die Anwendungen über den aktuellen Umfang von Tevogen Bio hinaus auszudehnen. CEO Dr. Ryan Saadi betonte die potenziellen Auswirkungen der Initiative auf den 5 Billionen Dollar schweren US-Gesundheitssektor.
Positive
  • Partnership with tech giants Microsoft and Databricks provides advanced AI and cloud computing capabilities
  • Two proprietary AI technologies (PredicTcell and AdapTcell) with patents pending could accelerate drug development
  • AI integration expected to reduce clinical development costs and timelines
  • Company expanding headquarters to accommodate AI team growth
Negative
  • Internal valuation of AI assets still pending, creating uncertainty about their worth
  • Additional capital may be needed to execute business plan
  • Significant competition in healthcare AI space from established players
  • Early stage of AI implementation with unproven commercial success

Insights

Tevogen's AI initiative establishes strategic tech partnerships and develops proprietary algorithms to accelerate immunotherapy development and reduce costs.

Tevogen's announcement of its Tevogen.AI initiative represents a significant integration of artificial intelligence into its immunotherapy development platform. The company has established two notable strategic partnerships: one with Microsoft providing cloud infrastructure and AI expertise, and another with Databricks for specialized data engineering capabilities. These collaborations give Tevogen access to enterprise-grade AI resources without building this infrastructure from scratch.

The company has developed two proprietary AI technologies with patents pending:

  • PredicTcell: A prediction engine for identifying immunologically active peptide complexes and their T cell receptor interactions. This system processes a terabyte-scale database of millions of protein-peptide interactions spanning multiple diseases.
  • AdapTcell: Algorithms focused on decoding HLA-T cell interactions to enhance understanding of immune responses, particularly valuable in areas with limited existing data.

The strategic value lies in how these technologies could transform Tevogen's core ExacTcell platform by accelerating target identification and pre-clinical processes. If successful, this approach could significantly compress development timelines and reduce costs—two critical factors in immunotherapy development where both time and capital expenditures are substantial hurdles.

Tevogen is backing this initiative with physical infrastructure expansion, creating dedicated facilities for its AI team. The company's ambition extends beyond improving its current pipeline, with stated plans to apply these technologies across multiple healthcare sectors, suggesting potential for diversified revenue streams beyond their core therapeutic focus.

While the press release indicates an internal valuation of these assets is forthcoming, the market will need concrete metrics to properly assess how these AI capabilities translate to competitive advantage and financial performance. The pending patent status of both technologies is noteworthy as IP protection will be crucial for maintaining any technological edge in this rapidly evolving field.

WARREN, N.J., May 30, 2025 (GLOBE NEWSWIRE) -- Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN), today provided stockholders with a detailed overview of its artificial intelligence initiative, Tevogen.AI™.

Tevogen.AI™ aims to integrate advanced machine learning and predictive modeling into Tevogen Bio’s proprietary ExacTcell™ technology to significantly enhance its target identification and pre-clinical processes, thereby strengthening the Company’s pipeline of innovative immunotherapies, accelerating clinical timelines, and substantially reducing development costs.

Tevogen.AI currently has two proprietary technologies, each with patents pending, and an internal valuation of these assets is forthcoming. The Company plans to expand its AI initiative with applications that extend well beyond Tevogen Bio. In preparation for this anticipated growth, Tevogen is expanding its headquarters to include dedicated facilities for Tevogen.AI’s team of data scientists and engineers.

Tevogen CEO, Dr. Ryan Saadi, commented, “Healthcare is one of the largest segments of our economy, projected to approach $5 trillion in the U.S. in 2025 and a significant contributor to our rising national debt. Tevogen.AI’s vision extends beyond transforming how therapies are developed; it is expected to make a meaningful impact across multiple sectors of healthcare. I applaud the leadership team at Tevogen.AI and our strategic partners for their innovative efforts and contributions that will help define the future of healthcare.”

Strategic Partnerships:

Microsoft (Nasdaq: MSFT): Provides industry-leading AI expertise, cloud computing infrastructure (Azure), and scientific resources to accelerate drug discovery processes.

Databricks: Supplies specialized data engineering and analytics capabilities to refine Tevogen’s AI models and enhance predictive accuracy.

Proprietary Tevogen.AI Technology:

PredicTcell™: AI tools capable of accurately predicting immunologically active peptide complexes and their interactions with T cell receptors, driving precision in immunotherapy treatments.

The PredicTcell platform is a collection of multiple algorithms which performs in-silico predictions for candidate selection across multiple diseases. It continually improves with each accurate prediction through model tuning and reinforcement, helping expand our understanding of T cell receptor bindings, and therefore shortening the in-vivo process and expanding Tevogen Bio’s pipeline. To date, Tevogen.AI has developed a continually expanding, terabyte-scale database that processes millions of protein and peptide interactions spanning numerous diseases and the human genome.

AdapTcell™: Algorithms to decode the interactions between human leukocyte antigens (HLA) and T cells.

AdapTcell is expected to significantly enhance Tevogen Bio’s understanding of immune responses and open new therapeutic avenues, especially in areas with minimal existing data. As our understanding of key interactions expand, AdapTcell built algorithms perform experiments unlocking insights into genetics and proteomics. The platform aims to expand upon the cross sections of genetics and protein interactions and build an HLA specificity map.

Tevogen.AI plans to expand into clinical trial patient identification using the information collected from its PredicTcell and AdapTcell platforms to drive efficiency, cost reduction and deliver targeted results.

Tevogen remains committed to transparent communication with its stockholders and will continue providing clear updates on the progress and achievements of Tevogen.AI.

Forward Looking Statements

This press release contains certain forward-looking statements, including without limitation statements relating to: 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: that Tevogen will need to raise additional capital to execute its business plan, which may not be available on acceptable terms 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; 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 Annual Report on Form 10-K.

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


FAQ

What are the main components of Tevogen's AI initiative?

Tevogen.AI consists of two main technologies: PredicTcell for predicting peptide-T cell receptor interactions, and AdapTcell for decoding HLA-T cell interactions, supported by partnerships with Microsoft and Databricks.

How will Microsoft and Databricks contribute to Tevogen's AI development?

Microsoft provides AI expertise and Azure cloud infrastructure, while Databricks supplies specialized data engineering and analytics capabilities to enhance predictive accuracy.

What is the purpose of Tevogen's PredicTcell technology?

PredicTcell uses AI to predict immunologically active peptide complexes and T cell receptor interactions, helping to improve precision in immunotherapy treatments and expand Tevogen's pipeline.

How does Tevogen plan to use AI in clinical trials?

Tevogen plans to use information from PredicTcell and AdapTcell platforms for clinical trial patient identification to improve efficiency, reduce costs, and deliver targeted results.

What is the market opportunity for Tevogen's AI initiative?

Tevogen is targeting the U.S. healthcare sector, projected to reach $5 trillion in 2025, with applications extending beyond their current immunotherapy focus.
Tevogen Bio

NASDAQ:TVGNW

TVGNW Rankings

TVGNW Latest News

TVGNW Stock Data

177.99M
Biotechnology
Biological Products, (no Disgnostic Substances)
Link
United States
WARREN