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Do not sell or share my personal informationDeny Allow selection Customize Allow all Skip to content Leading the way in de-risking clinical development with Al Request a Demo AI Drug Development Company Confident Decisions Start Here With Curated Data & AI Bridge the gap between scientific excellence and business acumen in drug development Request Your Demo The Pharmaceutical Industry Is Ready for a Breakthrough With our suite of solutions, de-risk and enhance clinical development and decision-making with the power of artificial intelligence. Measure the likelihood of success for drugs across multiple therapeutic areas Bolster internal risk identification with accurate AI-driven assessments Pinpoint underlying drivers contributing to technical and regulatory risk Explore risks influencing the drug development pipeline Review the competitive landscape for acquisition, licensing and portfolio strategies Detect predictive signals and optimize clinical trial design Standardize risk evaluation processes across entire portfolios Access a single source of quality, harmonized data for consistent risk evaluation Make More Confident Decisions With AI You Can Trust Eliminate the all-too-common mysterious AI black box. Make more confident decisions with trusted AI, where there’s transparency behind which features drive the algorithm’s results to help answer the “how” and the “why.”As emerging science and technology bring new possibilities for innovation—and sophistication – Intelligencia AI is poised to help you drive operational and decision-making excellence throughout your organization. Discover More Clinical Development Data Proven AI Accuracy Advanced Capabilities AI-Powered Solutions Built With Comprehensive, Precise Data Real-time tracking of clinical programs and features organized by proprietary ontologies Expert data curationand quality control bybiomedical professionals Trusted by leadingpharma organizationsover legacy data sourcesfor PTRS/PoS calculations Proven AI Accuracy With Advanced Algorithms Accurate PTRS assessments validated retrospectively and prospectively at all clinical development stages Actively tracked and validated real-world predictions High prospective accuracy (>80%) vs. retrospective-only analyses of AI models State-of-the-Art Explainable AI and Transparency Transparency into PTRS predictions with hundreds of dimensions Visualization of the drivers of PTRS predictions Continuous innovation and investment with partner and customer feedback Many of the top global pharma companies work with us. Want to join them? Let’s Talk Here's What Your Peers Have Shared Intelligencia Al has always taken a very thoughtful and rigorous process on everything you do and it is a great pleasure to work with you. —Decision Analysis, Global Pharmaceutical Company We did our competitive landscaping exercise and we are not aware of any other dataset that has been custom- built to address development risk. —Director, Global Pharmaceutical Company You are sitting on a goldmine. —Head of Statistics in Oncology Thank you for informing and enabling our portfolio strategy with a continuous stream of insights across emerging trends and salient competitive threats in our space. —VP of Portfolio Strategy, Biotech Intelligencia Al has always taken a very thoughtful and rigorous process on everything you do and it is a great pleasure to work with you. —Decision Analysis, Global Pharmaceutical Company We did our competitive landscaping exercise and we are not aware of any other dataset that has been custom- built to address development risk. —Director, Global Pharmaceutical Company Linkedin About Solutions Resources FAQs Blog Press Releases Events Careers Contact Privacy Policy Cookie Policy Patents © Intelligencia AI. All rights reserved. --- ConsentDetails[#IABV2SETTINGS#]AboutThis website uses cookiesWe use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided to them or that they’ve collected from your use of their services. [#GPC_BANNER_ICON#][#GPC_TOAST_TEXT#]Consent SelectionNecessary Preferences Statistics Marketing Show detailsDetailsNecessary 7 Necessary cookies help make a website usable by enabling basic functions like page navigation and access to secure areas of the website. 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For all other types of cookies we need your permission.This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages.You can at any time change or withdraw your consent from the Cookie Declaration on our website.Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.Please state your consent ID and date when you contact us regarding your consent. Do not sell or share my personal informationDeny Allow selection Customize Allow all Skip to content Leading the way in de-risking clinical development with Al Request a Demo Transforming the Industry’s Approach to De-Risk Drug Development By bringing together clinical development data, data science, and life-science expertise powered by AI, we help organizations realize superior decision-making power for phase transition and PTRS predictions for more confident and unbiased drug development decisions. Together, let’s drive the process of drug development forward and accelerate innovation for novel, life-saving therapies Our Story In 2017, Intelligencia AI emerged as the result of passion and persistence of its founders who recognized the necessity to improve the $1.5 trillion global pharmaceutical industry. Ever-increasing costs, long timelines and shrinking ROI have plagued the industry for many years. Since the beginning, Intelligencia AI has been de-risking and streamlining drug development by applying the latest AI-based innovations and utilizing the billions of medical and scientific data points to improve the predictive power of probability of success—one step closer to bringing lifesaving treatments to patients sooner. To succeed, the company grew with an interdisciplinary and global team of professionals with broad experience in data science, clinical data, biological and medical research, and business operations.We’re passionate about enabling biopharmaceutical companies to enhance efficiency – not just from a clinical development and business growth perspective – but to influence the ability to bring novel treatments to patients, faster. This – bringing treatments to patients faster – is what drives us. Show More Our Mission Our Vision Our Mission Empower life sciences companies to accelerate clinical development and de-risk business decisions with AI-driven solutions. Our Vision Our vision is to be a catalyst for change. By pioneering the advancement of AI in drug development, we support bringing groundbreaking therapies to market that will transform lives. Meet Our Leadership Team Our global leadership team throughout the U.S. and Europe brings a wide range of skills, talents and experiences in the health, tech and life sciences industries to Intelligencia AI. Get to know them. Dimitrios SkaltsasCEO & Co-founder Alexandra FerraroHead of Marketing Edoardo MadussiHead of Business Development Elena ValkanaSenior Growth Associate Gerry LiaropoulosDirector of Data Science Heracles KasimisDirector of Engineering Phoebe ProsalikaDirector of People Operations Maria GeorganakiDirector of Product Nikos PapadopoulosDirector of Finance Panos KarelisDirector of Insights Excellence Dimitrios Skaltsas, MBA CEO & Co-founder × Dimitrios Skaltsas, MBA CEO & Co-founder As the CEO and co-founder of Intelligencia AI, Dimitrios Skaltsas leads the AI-based technology organization’s business and investment growth strategy, while overseeing key functional areas of the multidisciplinary, growing team. In 2021, the company completed its Series A funding and was named one of Forbes’s Top AI Companies to Watch. During this time, Dimitrios played an instrumental role in forging a strategic partnership with ZS, a global professional services company. Before tapping into his entrepreneurial spirit and co-founding Intelligencia AI, Dimitrios spent over a decade in various healthcare and life sciences leadership roles. He successfully led McKinsey’s New Ventures for big data and AI in the pharmaceutical R&D sector, where he pioneered machine learning-enabled enterprise products in life sciences. Before that, he worked as a management consultant at McKinsey, supporting healthcare and life sciences clients in North America, Europe and the Middle East. He began his career as an attorney before moving into the health tech industry. In addition to his professional interests, Dimitrios uses his talents and time to give back to the community. Since 2021, he has been an active member of the Hellenic Republic National Commission for Bioethics & Technoethics. He also volunteers with TechnoServe, a nonprofit that works with enterprising people in the developing world to build competitive farms, businesses and industries. In addition, he serves as an executive in residence for digital and AI at Institut Européen d’Administration des Affaires (INSEAD) where he has actively built online education modules on AI. He is also an investor and advisor to early-stage data-driven ventures. He holds his MBA from INSEAD and a law degree from the University College of London (UCL) and the University of Athens. In his leisure time, you can find him painting, enjoying the countryside and connecting with people. Gerry Liaropoulos Chief AI Officer × Gerry Liaropoulos Chief AI Officer As the Chief AI Officer, Gerry leads a multidisciplinary team of computational scientists, statisticians and informatics experts. This group develops proprietary machine-learning algorithms and focuses on integrating new information. They also focus on the development of new features that improve the accuracy and usability of the predictions and explore new data-driven solutions to help the pharmaceutical industry make optimal decisions under uncertainty. Gerry also serves as a machine learning instructor at Constructor Learning in Zurich and as an advisor and instructor at Big Blue Data Academy in Athens. Gerry finds enjoyment in adventurous outdoor activities, whether it’s kitesurfing or carving down the slopes of the mountains. Heracles Kasimis VP of Engineering × Heracles Kasimis VP of Engineering Heracles is the VP of Engineering where he oversees the development and maintenance of the company’s external facing and supportive software architecture. This includes the cloud infrastructure, data extraction pipelines, Intelligencia AI’s SaaS platform, analytics/reporting toolchains, and APIs for programmatic data consumption. Prior to Intelligencia AI, he worked for more than 12 years as a software engineer in the information technology sector, designing, developing, and maintaining numerous web applications and services. Heracles has a bachelor’s in computer science from the University of Southampton. Phoebe Prosalika Director of People Operations × Phoebe Prosalika Director of People Operations As the Director of People Operations, Phoebe is responsible for overseeing all aspects of talent management, nurturing the organization’s culture, and fostering employee engagement. Before joining Intelligencia AI, Phoebe served as the Head of the People Operations department at Beat, a ride-hailing app, during a time of rapid growth at the company. She played a pivotal part in the company’s international expansion efforts, operating within a diverse and cross-cultural environment. Beyond her professional career, Phoebe’s passion for travel has taken her to over 40 countries across 5 continents. Her commitment to making a positive impact extends to her volunteer work with various nonprofit organizations, with a primary focus on supporting refugees. Driven by her desire to help people reach their full potential, she is a certified coach dedicated to people’s personal and professional development. Maria Georganaki VP of Product & Data × Maria Georganaki VP of Product & Data Maria is the VP of Product & Data at Intelligencia AI where she leads multidisciplinary teams and drives product development strategies that align with the company’s vision. She is passionate about leveraging the power of artificial intelligence to deliver cutting-edge solutions that empower drug development stakeholders to make data-driven decisions. As a molecular cancer biologist with a background in immuno-oncology, she brings strong clinical knowledge coupled with product development to Intelligencia AI’s solutions. During her doctorate and postdoc studies, Maria was an early-stage researcher for the EU-funded Marie Curie Initial Training Network Tumor Infiltrating Myeloid Cell Compartment (TIMCC) and has co-authored multiple publications in leading journals. Maria holds her doctorate in medical science, a master’s in molecular medicine from Uppsala University and a bachelor’s in biology from the University of Athens. Nikos Papadopoulos Director of Accounting × Nikos Papadopoulos Director of Accounting As the Director of Accounting , he oversees the business’s financial operations regarding accounting, tax, payroll and budgeting. Concurrently to his role at Intelligencia AI, he has been the CEO and founder of his own accounting and consulting firm in Greece since 2013. On a personal note, Nikos was a semi-professional basketball player and participated in the Greek National C Division for two seasons. In his free time, he loves traveling, spending time with friends and keeping active with sports. Panos Karelis VP, Head of Commercial × Panos Karelis VP, Head of Commercial As the VP, Head of Commercial, Panos leads the newly created Center of Insights Excellence at Intelligencia AI, where he’s focused on unlocking value for the company’s partners through best-in-class thought partnerships and bespoke analytics that harness the company’s proprietary data. He brings more than a decade of experience in the life sciences industry, helping North American and European pharmaceutical and biotech companies develop product, therapeutic area and portfolio strategies. Prior to joining Intelligencia AI, Panos was a Principal with Strategic Decisions Group, a management consulting firm with a special focus on decision-making. Before moving into strategy consulting and the health tech industry, he began his career in the energy sector. He is an engineer by training with a background in economics, finance and decision analysis. Panos is also a business mentor who coaches technology startups in developing their business plans, and serves the Greek Alumni Association of Stanford University as a board member. In his leisure time, he enjoys reading literature, staying active with sports and spending time with friends. Meet Our Scientific and Corporate Advisors Our world-class scientific and corporate advisors provide us with invaluable guidance: from the science behind our product to pharmaceutical industry knowledge, from artificial intelligence expertise to corporate experience. Névine ZariffaScientific Advisory Board Chair Aiman ShalabiScientific Advisor Vassilis GorgoulisScientific Advisor Aristotelis TsirigosScientific Advisor Pete GeorgiadisCorporate Advisor Simo KamppariCorporate Advisor Andreas BeroutsosCorporate Advisor Violetta KalathakiCorporate Advisor Névine Zariffa, M. Math Scientific Advisory Board Chair × Névine Zariffa, M. Math Scientific Advisory Board Chair Névine Zariffa is the Chair of Intelligencia AI’s Scientific Advisory Board. In this role, she provides strategic guidance on the company’s product development and roadmap while leading and coordinating the activities of the scientific advisory board. She is a highly accomplished thought leader in the fields of biostatistics and data science with extensive experience across all phases of drug development. Most recently she served as the SVP of Biometrics and Information Sciences at AstraZeneca (AZ). Over her 25-year pharma career, she held senior roles at GlaxoSmithKline and AZ where she also led the enterprise data & analytics initiative. She has been a key contributor to development strategies for over 200 drug projects across oncology, cardiovascular, metabolic, respiratory, inflammation, and renal diseases. Névine was a reviewer for The Lancet and has over 30 peer-reviewed publications to her name. She is currently a strategic consultant to several organizations including scientific data consortia such as ctMoniTR. She advised the FDA, Office of the Commissioner, on the application of real-world evidence to COVID-19 and further supported COVID-19 efforts through her work at the Bill and Melinda Gates Foundation. In addition to Intelligencia AI, she currently serves on the Scientific Advisory Board of ANOVA, ZS Associates and Beaconcure. She was a board member of CDISC for six years. In 2021, she published her first novel, Sisters Pieced Together.She holds her master of math degree in statistics from the University of Waterloo, and her bachelor of science in pure math from McGill University. Aiman Shalabi, PharmD, MBA Scientific Advisor × Aiman Shalabi, PharmD, MBA Scientific Advisor As a scientific advisor to Intelligencia AI, Aiman helps guide the organization on overall strategy and how the health tech company can help pharmaceutical organizations bring better medicines to patients, faster. Aiman has 25 years of experience in healthcare innovation. He is currently the managing director and CEO of a healthcare holding/investment company funded by Sheikh Fawaz Alhokair in Saudi Arabia and also serves as an adjunct professor at Georgetown University. Previously Aiman was the Global VP for Cell and Gene Therapies at GSK, Global VP for Immuno-Oncology with AstraZeneca, VP of Global Medical Affairs at AstraZeneca, and Head of Immuno-Oncology at MedImmune. Aiman also served as the Chief Medical Officer at the Cancer Research Institute and has consulted for cancer collaborative research groups (US, EU, Asia) while also holding teaching roles in academic centers including Harvard Business School and Georgetown University. In the pharmaceutical industry, he has led global teams that delivered four new cancer medicines and gained approval from global regulators including the FDA, EMEA, PMDA, and sFDA generating over $2B in annual revenues. Aiman started his career at the National Cancer Institute (NIH), where he managed 26 cancer medicines, and was awarded by U.S. President Bill Clinton for providing early access to medicines for leukemia (Gleevec) and breast cancer (Herceptin). Aiman holds five university degrees including two post-graduate degrees (PharmD, MBA). Vassilis Gorgoulis Scientific Advisor × Vassilis Gorgoulis Scientific Advisor In his advisor role for Intelligencia AI, Professor Gorgoulis is involved with the supervision of projects associated with drug repurposing and machine learning to evaluate molecular targets and mechanisms in oncology. He and his group have teamed up with Intelligencia AI’s bioinformatics and data science team to provide solutions that involve AI techniques in order to decipher key mechanisms in cancer biology with the main goal of discovering novel therapeutics. Prof. Gorgoulis is a molecular pathologist who is internationally recognized in the fields of genomic instability in cancer, cellular senescence and machine learning algorithms for predicting drug response in cancer. Currently, he is a professor and the Director of the Department of Histology – Embryology (DHE), Medical School, National and Kapodistrian University of Athens, Greece. He is also a professor and Chair of Clinical and Molecular Pathology, at Medical School, University of Dundee, UK. Additionally, he serves as an adjunct professor in the Biomedical Research Foundation, Academy of Athens, Greece; is an honorary professor, at the Institute of Cancer Sciences, University of Manchester, UK; visiting professor, at the Faculty of Health and Medical Sciences, University of Surrey, UK; and an elected member in the European Molecular Biology Organization (EMBO). Prof. Gorgoulis has 337 publications in international peer-reviewed journals, is listed in SCI, and has more than 30,500 citations. He has been actively involved with more than 200 speaking engagements at various international conferences, seminars, etc., and has contributed 14 chapters to international textbooks. Prof. Gorgoulis graduated in 1988 (Summa Cum Laude) and received his PhD in 1994 (Summa Cum Laude) from the Faculty of Medicine, National Kapodistrian University of Athens. He received his Medical Specialty in Pathology (Summa Cum Laude) in 1996. Aristotelis Tsirigos, PhD Scientific Advisor × Aristotelis Tsirigos, PhD Scientific Advisor As a scientific advisor, Dr. Tsirigos has played a pivotal role in Intelligencia AI’s development of a cutting-edge machine-learning model designed to forecast the technical and regulatory success of clinical trials. He continues to provide guidance and expertise to the growing company, leveraging his extensive knowledge and experience in machine learning and bioinformatics. Dr. Tsirigos is a professor of medicine and pathology at the NYU School of Medicine where he also serves as the co-director of precision medicine and director of applied bioinformatics. He leads a team of 25+ computational biologists and data scientists and his research focus is primarily on cancer epigenetics, chromatin organization, and AI-based diagnostics in cancer and other diseases. Dr. Tsirigos has more than 20 years of experience in genomics and machine learning at NYU and IBM Research. He has co-authored more than 150 studies in peer-reviewed journals, including high-impact studies in cancer epigenetics, chromatin organization, high-throughput single-cell transcriptomic analyses, and precision diagnostics using deep learning. He received his doctorate in computer science from the Courant Institute of New York University and his bachelor’s from the National Technical University of Athens, Greece. Pete Georgiadis, MBA Corporate Advisor × Pete Georgiadis, MBA Corporate Advisor Pete Georgiadis serves as a corporate advisor to Intelligencia AI. He is a serial entrepreneur, experienced operator and the founder and CEO of Synetro Group, a Chicago-based private investment and strategic advisory firm. Since founding Synetro in 2000, he has led the firm’s investment in over 50 companies and has personally helped build more than a dozen software, business services and manufacturing companies, including Insurance Noodle Inc., Knowledge Advisors Inc., Kalamazoo Outdoor Gourmet, CrossCheck Compliance, Corporate Synergies Group and dScout, Inc. He currently serves as the Chairman and CEO of Pleina Group, and sits on the boards of CrossCheck Compliance and dScout, Inc. Prior to founding Synetro, Pete was the COO of Lante Corporation, a technology consulting firm. He led the strategic repositioning and operating transformation of Lante and prepared it for a successful IPO. Before Lante, he was with McKinsey and Company, where he was a leader in the firm’s marketing and sales & channel management practices. He started his career at Hewlett-Packard Co., in marketing and general management roles in the UK and Switzerland. Pete holds an MBA from Harvard Business School, a master’s of computer science from London’s Imperial College and a bachelor’s of science in electronic engineering from the University of Sussex. He is a committed supporter of a number of educational and social service organizations in the U.S. and Europe. Simo Kamppari, MBA Corporate Advisor × Simo Kamppari, MBA Corporate Advisor As a corporate advisor, Simo supports Intelligencia AI’s continued business growth, as the company continues to evolve and navigates various business dynamics. As an engineer, Simo has a passion for building products and businesses. Since 2010, he has been actively investing in and supporting the growth of a range of companies in the technology and business services industries. Serving in roles ranging from investor to board member, to an active operating team member, Simo is passionate about working with teams committed to building exceptional solutions and great companies. Previously, Simo worked for five years as a management consultant at McKinsey where he served a broad set of financial services clients. Before that, he served as a group manager, specializing in the development of enterprise software at Oracle. Simo holds bachelor’s and master’s degrees in electrical engineering and computer science from Massachusetts Institute of Technology, and an MBA from Harvard Business School. He is a technology enthusiast, skier, and a married father of two living near Philadelphia. Andreas Beroutsos Corporate Advisor × Andreas Beroutsos Corporate Advisor In his corporate advisory role with Intelligencia AI, Andreas is focused on strategy, finance and talent growth. As a seasoned private equity investor, he has held leadership roles in various global organizations. Over the past 16 years, he has served as the Senior Investment Executive at BW Group. Prior to this, he served as the Executive Vice President and Global Head of Private Equity and Infrastructure at Caisse de dépôt et placement du Québec (CDPQ), the leading Canadian institutional investor. He was a Senior Partner/Head of Illiquid Investments at Eton Park Capital Management. Before his investing career, Andreas was a Senior Partner at McKinsey & Company, where he led the global private equity practice, North American financial services and global recruiting. He also served on the committee that elects the firm’s senior partners. He resides in NY, is active globally, and has served on numerous corporate and not-for-profit boards in education and the arts. He has earned undergraduate and graduate degrees from Harvard University and Harvard Business School. Violetta Kalathaki Corporate Advisor × Violetta Kalathaki Corporate Advisor As a corporate advisor, Violetta focuses on providing strategic guidance to product development and marketing functions at Intelligencia AI. Before moving into an advisory role, Violetta served as the Chief Product Officer at the company for three years building the product development organization and overseeing product strategy and development. Violetta brings a breadth of experience, including seven years at Google where she played a pivotal role in developing products such as Adsense Native Ads and spearheading a high-touch growth marketing team for Adwords. Her extensive experience also encompasses valuable consulting insights gained during her tenure at McKinsey, along with a solid foundation in the startup ecosystem. Violetta holds a master’s degree in economics and management from the London School of Economics and Political Science, and a bachelor’s degree in electrical and computer engineering from The National Technical University of Athens. Our Core Values Our values permeate all that we do as a business and as individuals and put us on a path for even greater success as individuals, as a business and for our customers. We Raise the BarWe raise the bar in everything we do: excellence is not a destination for us, but a continuous journey. We strive for excellence in all we create, build and deliver, committed to taking initiative, and solving problems with a hands-on approach. We embrace challenges as opportunities to learn and grow, and we constantly seek new and innovative ways to improve our work and create value for our customers. We Build TogetherWe believe that teaming up with our colleagues, partners, customers and our stakeholders takes us places we can’t go alone. By working collaboratively we can achieve greater results than we could individually. We Are HumbleWe approach our work and interactions with modesty, respect and an open mindset. 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For all other types of cookies we need your permission.This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages.You can at any time change or withdraw your consent from the Cookie Declaration on our website.Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.Please state your consent ID and date when you contact us regarding your consent. Do not sell or share my personal informationDeny Allow selection Customize Allow all Skip to content Leading the way in de-risking clinical development with Al Request a Demo Innovation at the Intersection of Drug Development and Data Science De-risk clinical development and business decisions with AI We Know the Challenges You Face Extended timelines for drug approval of 10-15 years. An ever-increasing average price tag to develop a drug, now at $2.68. Low approval ratings, with only 12% of new molecular entities that enter clinical trials receiving FDA approval. Low approval ratings, with only 12% of new molecular entities that enter clinical trials receiving FDA approval. Extended timelines for drug approval of 10-15 years. An ever-increasing average price tag to develop a drug, now at $2.68. Low approval ratings, with only 12% of new molecular entities that enter clinical trials receiving FDA approval. Extended timelines for drug approval of 10-15 years. De-Risk High Stakes Decisions Our robust AI-driven suite of solutions empowers life sciences companies to de-risk high-stakes decisions. Our products enhance life sciences companies to assess the probability of success of a drug based on billions of expertly curated data points to make the process fast, highly consistent, unbiased and comprehensive.We are raising the bar when it comes bringing groundbreaking therapies to market that will transform lives. Join us on this journey. Intelligencia Portfolio OptimizerTM The patented SaaS platform Intelligencia Portfolio Optimizer™ delivers on-demand access to AI-powered insights based on best-in-class, proprietary data. This allows you to assess the probability of success (PoS) and phase transition probabilities objectively. Equipped with this knowledge, your pharmaceutical company can confidently make more informed asset, portfolio and licensing decisions. Discover More Dynamic Benchmarks Focus on the specific indication and phase opportunity that matters to you versus high-level therapeutic area information. With access to our industry-leading, comprehensive historical approval and failure rates, augment your current risk assessment and enhance strategy to pave the way for future success. Learn More Data & Insights Leverage meticulously curated and harmonized data for your bespoke and customized analyses needs. Collaborate with us as a trusted partner to augment your internal resources. Learn More Who We Work With Focusing on portfolio planning, business development and licensing strategy, project management for long-range planning. We have you covered! Learn More Linkedin About Solutions Resources FAQs Blog Press Releases Events Careers Contact Privacy Policy Cookie Policy Patents © Intelligencia AI. All rights reserved. --- ConsentDetails[#IABV2SETTINGS#]AboutThis website uses cookiesWe use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided to them or that they’ve collected from your use of their services. 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For all other types of cookies we need your permission.This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages.You can at any time change or withdraw your consent from the Cookie Declaration on our website.Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.Please state your consent ID and date when you contact us regarding your consent. Do not sell or share my personal informationDeny Allow selection Customize Allow all Skip to content Leading the way in de-risking clinical development with Al Request a Demo Intelligencia Portfolio OptimizerTM AI Clinical Development Software AI opens a new window of innovation for drug development. Using Portfolio Optimizer, you can optimize your drug pipeline, select promising drug candidates early, assess the competitive landscape, and make highly informed business development decisions. Discover More Explore an asset’s potential to clear all technical and regulatory hurdles and receive FDA approval. Do you want to understand how each trial design parameter affects PTRS assessment? Do your internal probability of technical and regulatory success (PTRS) estimates utilize the best possible data available? Are you concerned that your PTRS assessments may be too subjective? Are your benchmarks inconsistent and based on limited information? Does the process of expert solicitation take significant resources and time? Do you need additional insights to inform asset and portfolio strategies? Do you need to understand the competitive landscape for your asset better? Do you want to understand how each trial design parameter affects PTRS assessment? Do your internal probability of technical and regulatory success (PTRS) estimates utilize the best possible data available? Do your internal probability of technical and regulatory success (PTRS) estimates utilize the best possible data available? Are you concerned that your PTRS assessments may be too subjective? Are your benchmarks inconsistent and based on limited information? Does the process of expert solicitation take significant resources and time? Do you need additional insights to inform asset and portfolio strategies? Do you need to understand the competitive landscape for your asset better? Do you want to understand how each trial design parameter affects PTRS assessment? Solutions and Insights to Drive Success Assess current pipeline with real-time AI-driven PTRS for faster, more confident decisions. Gain transparency and context with AI Explainability with PTRS drivers to understand the impact they have on the assessment. See phase transition and PTRS for industry-led, interventional FDA-track trials, including that of competitors. Explore how a specifc drug or combinations of drugs advance through clinical development phases Access comprehensive, granular, disease-specific benchmarks. View clinical outcomes by phase, arm and cohort and access primary and secondary endpoints to understand clinical design by specific indication. Together, Let’s Drive Your Strategic Portfolio Management Forward Make Smarter Deals Save between $3-5M per in-licensing deal in upfront payments for every 5% points of miscalculated PTRS. Apply the same level of rigor for internal assets Reduce information asymmetry during valuation Reduce number of missed-out opportunities due to risk over-estimation *Based on failed trials only in oncology and I&I**Based on blockbuster drug Discover More Increase R&D ROI Save between $8-25M* per year, by reducing the number of failed Phase 2 and Phase 3 trials. Augment internal discussions consistently and calibrate PTRS assessments across assets Save resources associated with PTRS elicitation and calibration Challenge internal thinking and reduce subjectivity and biases Improve resource allocation by stopping less-promising projects early *Based on failed trials only in oncology and I&I**Based on blockbuster drug Discover More Accelerate Time to Market Save between $2-5M per month of delayed launch of a single asset** by accelerating investment decision-making. Reduce number of risk elicitation and alignment meetings Increase data and explainability transparency Make faster decisions and accelerate execution speed *Based on failed trials only in oncology and I&I**Based on blockbuster drug Discover More Make Smarter Deals Save between $3-5M per in-licensing deal in upfront payments for every 5% points of miscalculated PTRS. Apply the same level of rigor for internal assets Reduce information asymmetry during valuation Reduce number of missed-out opportunities due to risk over-estimation *Based on failed trials only in oncology and I&I**Based on blockbuster drug Discover More Increase R&D ROI Save between $8-25M* per year, by reducing the number of failed Phase 2 and Phase 3 trials. Augment internal discussions consistently and calibrate PTRS assessments across assets Save resources associated with PTRS elicitation and calibration Challenge internal thinking and reduce subjectivity and biases Improve resource allocation by stopping less-promising projects early *Based on failed trials only in oncology and I&I**Based on blockbuster drug Discover More Experience What Portfolio Optimizer Can Do for You Portfolio Optimizer is broadly applicable across R&D and business development functions. Here are some relevant examples of where Portfolio Optimizer lends support and fits into your current workflows. Portfolio & Asset Strategy Business Development & Licensing Research and Development Challenge Expensive and time-consuming expert elicition and KOL process. Solution Leverage Portfolio Optimizer to complement and enhance internal process with consistent and comprehensive data. Benefits Save valuable resources while minimizing manual effort and human bias. Challenge Limited data and high risk on early stage licensing. High-costs and competition on later stage assets. Solution Use Portfolio Optimizer to compare PTRS of various candidates, assess them against objective benchmarks, and compare the competitive landscape to support your valuation efforts. Benefits Identify promising assets earlier and more confidently by incorporating data-driven probability of success assessment to support your business case and negotiations. Challenge Lack of consistent and comprehensive benchmarking data make for difficult decisions on which drug candidates to move forward. Solution Use Portfolio Optimizer to inform decisions on therapeutic area expansion, indication and phase benchmarking to rank drug development opportunities. Benefits Leverage objective assessments to generate a list of prioritized assets and foster internal alignment and understand where your asset fits in the competitive landscape. The predictive performance of our algorithms in forecasting FDA approvals for Phase 2 oncology programs boasts a prospectively validated accuracy of 83%*, and 90% when measured retrospectively. *Based on Intelligencia AI predictions as of May 2022 for oncologyprograms with definite announcements in 2023. Learn More Our Industry-Leading Accuracy Is Validated With Four Distinct Methods Retrospective Accuracy Area under the curve (AUC) is a metric which indicates whether the model assigns higher probability to the approved programs higher than the failed ones. The higher the AUC the better. Sensitivity/ Specificity The True Positive (sensitivity) and True Negative (specificity) rates highlight the ability of the model to correctly identify approved and rejected programs, accordingly. The higher the rates the better. Brier Score Loss Brier Score Loss (BSL) is a metric that quantifies the accuracy of probability predictions. BSL penalizes high probabilities of failed programs and low probabilities of approved programs. The lower the BSL the better. Prospective Accuracy The Calibration Curve measures prospectively how closely the predicted probabilities match the actual and observed outcomes, helping to understand the reliability of the model. Dynamic Benchmarks We provide data visualizations into the competitive landscape. Dynamic Benchmarks puts you in the driver’s seat to take the lead in benchmark analysis to enhance existing processes. Discover More Find the Answers You Need to Inform Your Decision-Making Data spans back to 1990 and includes clinical programs based on industry-led, FDA-tracked interventional studies. Discover More What are the historical success rates of past assets? What are the decisions that could lead to different clinical outcomes? How does my asset compare to historical programs and their clinical trial choices? How do I better understand the risk drivers for my asset or portfolio? Find the Answers You Need to Inform Your Decision-Making Data spans back to 1990 and includes clinical programs based on industry-led, FDA-tracked interventional studies. Discover More How do I better understand the risk drivers for my asset or portfolio? What are the historical success rates of past assets? What are the decisions that could lead to different clinical outcomes? How does my asset compare to historical programs and their clinical trial choices? How do I better understand the risk drivers for my asset or portfolio? What are the historical success rates of past assets? The Complete Benchmarking Solution You Need Access to depth and breadth of data based on unique program entity that goes beyond the molecule-indication level. See both phase-by-phase and path-by-path analyses for better facilitating data-driven decision-making that captures a more comprehensive view of the clinical development path. Customize your search with dynamic filtering to slice-and-dice data and surface relevant, real-time data. Motivate Your Business and Challenge the Status Quo Improve Risk Assessment View an accurate depiction of historical success rates to gain an in-depth picture of industry dynamics and trends. Explore the importance of specific clinical development characteristics, such as demographics or regulatory designations to adjust risk predictions. Calculate precise phase transition success rates and historical approval rates for each development phase to identify key differences between individual therapeutic areas. Evaluate different development pathways to determine how they have affected the success rates of past programs to inform clinical trial design. Enhance Strategy Explore the most promising indications and drug-related attributes to facilitate efficient decision-making for go/no-go decisions. Understand the recent clinical development landscape and gauge your productivity relative to the market and competitors. De-risk clinical development and enhance decision-making with accurate, AI-driven probability of success. Let’s Talk Linkedin About Solutions Resources FAQs Blog Press Releases Events Careers Contact Privacy Policy Cookie Policy Patents © Intelligencia AI. All rights reserved.