Certara Automates Scientific Workflows with Phoenix® Cloud
Certara (NASDAQ: CERT) launched TFL Studio, the first cloud-native module of its Phoenix Cloud platform, on November 4, 2025. TFL Studio is a no-code environment for creating tables, figures, and listings (TFLs) used in regulatory submissions and publications, and it integrates with Integral, Certara’s data repository.
Certara says TFL Studio can deliver TFLs up to 50% faster. A complementary module, AI PK Reports powered by CoAuthor, will be released this quarter and aims to cut PK report drafting from days to minutes.
Certara (NASDAQ: CERT) ha lanciato TFL Studio, il primo modulo nativo cloud della piattaforma Phoenix Cloud, il 4 novembre 2025. TFL Studio è un ambiente senza codice per creare tabelle, figure e elenchi (TFLs) utilizzati in sottomissioni regolamentari e pubblicazioni, e si integra con Integral, il repository dati di Certara.
Certara afferma che TFL Studio può fornire TFL fino al 50% più velocemente. Un modulo complementare, AI PK Reports alimentato da CoAuthor, sarà rilasciato in questo trimestre e mira a ridurre la redazione dei report PK da giorni a minuti.
Certara (NASDAQ: CERT) lanzó TFL Studio, el primer módulo nativo en la nube de su plataforma Phoenix Cloud, el 4 de noviembre de 2025. TFL Studio es un entorno sin código para crear tablas, figuras y listados (TFLs) usados en presentaciones regulatorias y publicaciones, y se integra con Integral, el repositorio de datos de Certara.
Certara dice que TFL Studio puede entregar TFLs hasta un 50% más rápido. Un módulo complementario, AI PK Reports impulsado por CoAuthor, será lanzado este trimestre y tiene como objetivo reducir la redacción de informes PK de días a minutos.
Certara (NASDAQ: CERT)은 Phoenix Cloud 플랫폼의 첫 번째 클라우드 네이티브 모듈인 TFL Studio를 2025년 11월 4일에 출시했습니다. TFL Studio는 규제 제출 및 출판에 사용되는 표, 그림 및 목록(TFLs)을 생성하는 코드 없는 환경이며, Certara의 데이터 저장소인 Integral과 통합됩니다.
Certara는 TFL Studio가 TFLs를 최대 50% 더 빠르게 제공할 수 있다고 말합니다. 보조 모듈인 AI PK Reports는 CoAuthor가 구동하며 이번 분기에 출시될 예정이며 PK 보고서 작성 시간을 며칠에서 분으로 단축하는 것을 목표로 합니다.
Certara (NASDAQ: CERT) a lancé TFL Studio, le premier module cloud-native de sa plateforme Phoenix Cloud, le 4 novembre 2025. TFL Studio est un environnement sans code pour créer des tableaux, figures et listes (TFLs) utilisés dans les soumissions réglementaires et les publications, et il s’intègre avec Integral, le référentiel de données de Certara.
Certara indique que TFL Studio peut livrer des TFLs jusqu'à 50 % plus rapidement. Un module complémentaire, AI PK Reports propulsé par CoAuthor, sera lancé ce trimestre et vise à réduire la rédaction des rapports PK de jours à minutes.
Certara (NASDAQ: CERT) hat TFL Studio eingeführt, das erste cloud-native Modul der Phoenix Cloud-Plattform, am 4. November 2025. TFL Studio ist eine No-Code-Umgebung zum Erstellen von Tabellen, Abbildungen und Listen (TFLs), die in behördlichen Einreichungen und Publikationen verwendet werden, und es integriert sich mit Integral, Certaras Daten-Repository.
Certara behauptet, dass TFL Studio TFLs bis zu 50 % schneller liefern kann. Ein ergänzendes Modul, AI PK Reports powered by CoAuthor, wird in diesem Quartal vorgestellt und zielt darauf ab, das Verfassen von PK-Berichten von Tagen auf Minuten zu reduzieren.
Certara (NASDAQ: CERT) أطلقت TFL Studio، أول وحدة سحابية أصلية ضمن منصة Phoenix Cloud، في 4 نوفمبر 2025. يعد TFL Studio بيئة بدون كود لإنشاء الجداول والرسوم والتشطيبات (TFLs) المستخدمة في التقديمات التنظيمية والمنشورات، ويتكامل مع Integral، مستودع البيانات الخاص بـ Certara.
تقول Certara إن TFL Studio يمكنه تقديم TFLs بما يصل إلى 50% أسرع. وحدة مكملة، AI PK Reports المدعومة من CoAuthor، ستصدر في هذا الربع وتهدف إلى تقليل صياغة تقارير PK من أيام إلى دقائق.
- TFL creation up to 50% faster
- AI PK Reports reduces report drafting from days to minutes
- Integrates with Integral as single source of PK/PD data
- No-code, reusable templates reduce TFL setup time
- None.
Insights
Certara's cloud TFL Studio and upcoming AI PK Reports aim to halve TFL production time and accelerate PK reporting.
Certara offers a cloud-native module, TFL Studio, that standardizes and automates Tables, Figures, and Listings workflows to reduce creation time by
These changes shorten manual setup through reusable templates and enable dynamic, editable outputs that remove intermediate preparation steps; that directly reduces operational friction in preparing regulatory-ready deliverables.
Watch adoption metrics and time-to-deliver TFLs over the next 1–2 quarters and the rollout of AI PK Reports this quarter, which the company says converts multi-day reporting tasks into minutes; the practical impact depends on customer uptake and measured reductions in review cycles.
TFL Studio targets core PK/PD deliverables, promising faster, consistent regulatory tables and draft reports via GenAI.
TFLs are essential for regulatory submissions and publications; a no-code environment plus template reuse and integration with Integral should reduce formatting errors and onboarding time for teams preparing study artifacts.
Risks include real-world validation of the claimed
Key items to track: customer case studies demonstrating the
New cloud capabilities cut time to create Tables, Figures, and Listings by
RADNOR, Pa., Nov. 04, 2025 (GLOBE NEWSWIRE) -- Certara, Inc. (Nasdaq: CERT), a global leader in model-informed drug development, today announced the launch of TFL Studio, the first cloud-native module of its Phoenix Cloud solution. TFLs (Tables, Figures, and Listings) present data on study participants, treatments, and outcomes visually for clear interpretation. They are critical components of regulatory submissions and scientific publications. TFL Studio lets pharmacokinetic (PK) and pharmacodynamic (PD) scientists create these components with greater speed and collaboration.
Traditional TFL workflows are often hindered by manual processes, fragmented tools, and the challenges of maintaining visual quality and consistency across studies. Phoenix Cloud is designed to accelerate these and related PK workflows through AI and cloud technology.
"The introduction of TFL Studio marks a pivotal moment in our mission to bring advanced, cloud-native solutions to drug discovery and development," said William F. Feehery, Chief Executive Officer.
A complementary module, AI PK Reports, will be released this quarter. AI PK Reports leverages GenAI to turn tables, figures, and listings into draft PK reports, reducing a process that typically takes scientists days to complete down to minutes. AI PK Reports are powered by CoAuthor™, Certara’s GenAI software for regulatory and medical writing.
TFL Studio delivers a user-friendly, no-code environment where scientists can:
- Build TFLs Faster with Reusable Templates: Create, maintain, and apply standardized templates, reducing setup time and ensuring consistency.
- Generate Dynamic, Editable Outputs: Easily fine-tune TFLs from source data without intermediate preparation, streamlining the editing and review process.
- Lower Training Burden: Intuitive tools and transparent workflows make it easier for new users to quickly become proficient, fostering broader adoption across teams.
"TFL Studio empowers scientists to create high-quality TFLs up to
As the inaugural cloud-native module of Phoenix Cloud, TFL Studio sets the stage for future innovations, including the AI PK Reports module described above. It integrates with Integral™, Certara’s data repository, providing a single source of truth for PK/PD data, models and visualizations.
TFL Studio is available now as part of the Phoenix Cloud solution. To learn more about TFL Studio and the Phoenix Cloud platform, visit https://www.certara.com/software/phoenix-pkpd/phoenix-cloud/.
About Certara
Certara accelerates medicines using biosimulation software, technology, and services to transform traditional drug discovery and development. Its clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries. Learn more at certara.com
Certara contact:
Sheila Rocchio
Sheila.rocchio@certara.com
Media contact:
Alyssa Horowitz
certara@pancomm.com
FAQ
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