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PumasAI

PumasAI

Research Services

Delaware, DE 6,796 followers

Accelerating access to life-saving treatments for patients

About us

We help pharmaceutical scientists, healthcare providers, biotechnology and pharmaceutical companies as well as regulatory agencies Deliver Better Treatments to Patients Faster.

Website
http://pumasai.com
Industry
Research Services
Company size
11-50 employees
Headquarters
Delaware, DE
Type
Privately Held
Founded
2019
Specialties
Clinical Pharmacology, Drug Development Services, Regulatory Submissions, Pharmacometrics, Product Development Strategy, PKPD, and Modeling & Simulations

Employees at PumasAI

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Locations

Updates

  • Looking forward to collaborations, partnerships and a future of quantitative decision-making in clinical development. Meet Dhanashri at booth #4119.

    I'll be representing PumasAI at BIO 2026, San Diego. We'll be discussing how AI, modeling and simulation and frameworks like Probability of Success are helping organizations improve decision-making across drug development. Whether you're exploring new technologies, evaluating development strategies, or simply looking to exchange ideas, I'd love to connect. See you at BIO 2026! I will be at Booth #4119 RSVP: https://lnkd.in/gggX3jfH

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  • High-stakes decisions in drug development demand the right data, rigorously analyzed, at every checkpoint. Measuring your PoXs at each stage of the development journey is what turns uncertainty into confidence. With cutting edge technology, integrated AI and seamless user experience, Pumas ecosystem makes this possible.  • 𝗣𝘂𝗺𝗮𝘀 consolidates every modeling and simulation workflow your team needs into one environment.  • 𝗗𝗲𝗲𝗽𝗣𝘂𝗺𝗮𝘀 brings machine learning into mechanistic modeling, extracting signal from complex data while preserving the regulatory transparency that approvals demand.  • 𝗣𝘂𝗺𝗮𝘀𝗖𝗣 streamlines clinical study reporting on a fully compliant, qualified system. 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗮𝗰𝗿𝗼𝘀𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴: 𝗔𝗜 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝘀 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺.  • 𝗣𝘂𝗺𝗮𝘀𝗔𝗶𝗱𝗲 executes live analyses and writes code directly in your environment.  • 𝗔𝘀𝗸𝗣𝘂𝗺𝗮𝘀 delivers science-grounded answers without compromising data privacy. All of it underpins our PoXs framework. High-stakes decisions, made with confidence at every checkpoint. See it in action at BIO 2026.  𝗕𝗼𝗼𝗸 𝗮 𝗺𝗲𝗲𝘁𝗶𝗻𝗴: https://lnkd.in/ddQTBqUp #ModelInformedDrugDevelopment #AIinPharma #BIO2026 #MIDD

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  • We're proud to see Mélanie Wilbaux featured as a speaker at the VI RedIF 2026. Looking forward to the insights and conversations ahead.

    View organization page for RedIF

    545 followers

    Meet the speakers of our Bioequivalence Seminar! 🌎 . We're thrilled to introduce the faculty for "Pharmacometrics Applications in Bioequivalence: From Product Development to Approval" at the VI RedIF Congress 2026 🇨🇱 . Swipe to meet them all 👉 . 🇺🇲 Sandra Suarez-Sharp 🇬🇧 Amin Rostami-Hodjegan 🇫🇷 Mélanie Wilbaux 🇺🇾 Marianela Lorier 🇪🇸 Marival Bermejo Sanz . 📅 November 2–6, 2026 | Santiago de Chile 🔗 Register here: https://lnkd.in/d9KA-mja . #RedIFCongress2026

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  • Join us this July 29-30 at Kitasato University, Tokyo for a two-day hands-on workshop: SciML and Agentic QSP Workflows in Pumas, led by Vijay Ivaturi and Lorenzo Contento. 𝗧𝗵𝗲 𝘄𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗰𝗼𝘃𝗲𝗿𝘀 𝘁𝗵𝗿𝗲𝗲 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝘁𝗵𝗿𝗲𝗮𝗱𝘀: Building and simulating mechanistic QSP models in Pumas, with examples from viral dynamics and immunology. Augmenting those models with neural network components using DeepPumas, including normalizing flows for probabilistic population modeling. And a live demonstration of PumasAide, our agentic AI, automating the full workflow from data exploration through diagnostics, simulation, and reporting with a complete audit trail. Registration is free and seats are limited. 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗻𝗼𝘄: https://lnkd.in/d9fd4sCU *If you're attending the Mathematical Pharmacology Symposium in Tokyo, this workshop runs at the same venue immediately before. #QSP #SciML #Pharmacometrics #PumasAide

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  • Getting to first-in-human with confidence requires more than a dose estimate. It requires a defensible pharmacological rationale, quantified before the trial begins. That's what Probability of Pharmacological Success (PoPS) delivers. We translate in vitro and in vivo data into human predictions: a defensible FIH dose, a predicted therapeutic window, a starting-population rationale, and the full IND-supporting modeling package the program actually needs. PoPS is one instance of our PoXs framework. You bring the X. We bring the scientific expertise and full Pumas toolkit: classical NLME, PBPK, mechanistic translation, and where standard models reach their limits, DeepPumas, our SciML framework, to surface what's otherwise hidden in complex biological data. Let's find your PoPS advantage at BIO 2026. Book a meeting: https://lnkd.in/ddQTBqUp #DrugDevelopment #Pharmacometrics #BIO2026

  • 𝐇𝐨𝐰 𝐝𝐨 𝐲𝐨𝐮 𝐦𝐚𝐤𝐞 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞? PumasAI has been the MIDD partner of choice for clinical development decisions for years. Now we are extending that approach across the entire development continuum, from preclinical translation to regulatory submission. 𝐓𝐡𝐞 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐢𝐬 𝐏𝐨𝐗𝐬: 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐨𝐟 𝐗 𝐒𝐮𝐜𝐜𝐞𝐬𝐬. At BIO 2026 in San Diego (June 22 to 25), senior experts from PumasAI will be on site. We will discuss how to operationalize PoXS as an end-to-end deliverable. Book a meeting: https://lnkd.in/ddQTBqUp Vijay Ivaturi | Dhanashri Gudi | Mahesh Bhalgat #BIO2026 #MIDD #ProbabilityofSuccess

  • View organization page for PumasAI

    6,796 followers

    𝐏𝐮𝐦𝐚𝐬𝐀𝐈 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚𝐭 BIO International Convention 𝟐𝟎𝟐𝟔 𝐢𝐧 𝐒𝐚𝐧 𝐃𝐢𝐞𝐠𝐨, 𝐉𝐮𝐧𝐞 𝟐𝟐–𝟐𝟓. At booth #𝟒𝟏𝟏𝟗 we will be discussing:  • Probability of Pharmacological Success (PoPS)  • Quantitative model-based confidence for taking a drug from preclinical into the clinic  • FIH dose selection, IND-enabling decisions, therapeutic window prediction  • Complete Pumas ecosystem If you have an asset at this transition point, or you are evaluating one for in-licensing, let's talk. Mahesh Bhalgat | Vijay Ivaturi | Dhanashri Gudi #BIO2026 #MIDD #ProbabilityofSuccess

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  • When we developed Pumas, our intention was to build a tool that's not just accurate and upholds scientific rigor but also enables the modeler to perform at their best capacity. We know how crucial time and cost are when developing a drug. Coupled with its AI capability and Julia as a base, Pumas gives you the unimaginable speed with large datasets that would otherwise take far longer. A recent study published in the European Journal of Clinical Pharmacology showed exactly that. Read it here: https://lnkd.in/gyYxT-Qc

  • Two days of incredible conversations, scientific exchange, and meaningful connections at PAGE 2026! Our booth has been buzzing with energy. From back-to-back PumasAide demos and deep dives into modeling workflows, to rich discussions on AI, QSP, DeepNLME, and advanced MIDD approaches, the engagement has been truly inspiring. It has been energizing to see so much enthusiasm for the kind of work we do, and to hear firsthand how PumasAI tools and approaches are resonating with the broader community.   The response to our posters has been equally exciting, with researchers, scientists, and industry professionals from around the world stopping by to connect, share insights, and exchange ideas. Every conversation has reinforced just how much momentum there is in this space.   Haven't visited us yet? There is still one more day and it's shaping up to be the best one yet. Come find us at Booth #16 to see PumasAide in action, meet our scientists, explore our latest research, and discover how modeling, simulation, and AI can help accelerate your development programs. We'd love to connect.

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  • Today's the day! Lorenzo Contento takes the podium at PAGE 2026. Here's what you're in for: A framework that uses early tumor growth dynamics to predict overall survival and make go/no-go calls long before traditional readouts arrive. 🔹 𝟏𝟏:𝟒𝟓 𝐀𝐌 – 𝟏𝟐:𝟎𝟓 𝐏𝐌 Grab your seat, we are now soaring into the next era in drug development See you in the room! Like to have some background? Here's a discussion with Mohamed Tarek, PhD https://lnkd.in/dZuJniUg #PAGE2026 #DeepNLME #Oncology #JointModeling #Pharmacometrics #ScientificML

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