{"id":242459,"date":"2026-02-23T01:16:45","date_gmt":"2026-02-23T01:16:45","guid":{"rendered":"https:\/\/evertise.net\/?p=131306"},"modified":"2026-02-23T01:16:45","modified_gmt":"2026-02-23T01:16:45","slug":"building-agi-for-pharmaceutical-industry-deep-intelligent-pharma-secures-another-us60-million-in-funding","status":"publish","type":"post","link":"https:\/\/ipsnews.net\/business\/2026\/02\/23\/building-agi-for-pharmaceutical-industry-deep-intelligent-pharma-secures-another-us60-million-in-funding\/","title":{"rendered":"Building AGI for Pharmaceutical Industry, Deep Intelligent Pharma Secures Another US$60 Million in Funding"},"content":{"rendered":"<p><span style=\"font-weight: 400\">AI pharmaceutical-development unicorn <\/span><a href=\"https:\/\/dip-ai.com\/\"  rel=\"noopener\"><b>Deep Intelligent Pharma<\/b><\/a><span style=\"font-weight: 400\"> has recently completed a new financing round of <\/span><b>US$60 million<\/b><span style=\"font-weight: 400\">. New investors in this round include <\/span><b>Trustar Capital<\/b><span style=\"font-weight: 400\">, <\/span><b>Jinyi Capital<\/b><span style=\"font-weight: 400\">, and <\/span><b>Kaitai Capital<\/b><span style=\"font-weight: 400\">, while existing shareholders <\/span><b>CDH Investments<\/b><span style=\"font-weight: 400\"> and <\/span><b>Xinding Capital<\/b><span style=\"font-weight: 400\"> continued to increase their stakes. <\/span><b>Index Capital<\/b><span style=\"font-weight: 400\"> served as the exclusive financial advisor for the transaction. The newly raised funds will be primarily used to upgrade the company\u2019s core technology systems.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Notably, in <\/span><b>December last year<\/b><span style=\"font-weight: 400\">, Deep Intelligent Pharma had just announced a <\/span><b>US$50 million Series D<\/b><span style=\"font-weight: 400\"> financing. In less than two months, the company has raised <\/span><b>over US$100 million<\/b><span style=\"font-weight: 400\"> in total.<\/span><\/p>\n<p><span style=\"font-weight: 400\">At present, due to technical limitations, most companies still apply AI mainly to the <\/span><b>pre-clinical stage<\/b><span style=\"font-weight: 400\"> of pharmaceutical development. In contrast, Deep Intelligent Pharma provides global pharmaceutical companies with <\/span><b>end-to-end intelligent solutions<\/b><span style=\"font-weight: 400\">, covering <\/span><b>pre-clinical research, regulatory submission, clinical trials, and post-marketing studies<\/b><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><span style=\"font-weight: 400\">According to the company, in past projects, <\/span><b>clinical trial protocols generated by <\/b><span style=\"font-weight: 400\">Deep Intelligent Pharma\u2019s<\/span><b> AI \u201cbrain\u201d achieved \u201czero revisions\u201d and passed regulatory review in a single submission<\/b><span style=\"font-weight: 400\">, highlighting its practical regulatory-grade capability.<\/span><\/p>\n<p><b>From Single-Function Tools to an AI \u201cDigital Scientist Team\u201d<\/b><\/p>\n<p><span style=\"font-weight: 400\">Historically, the pharmaceutical market has been more willing to pay for pharmaceutical pipelines with clear value certainty, while remaining cautious toward pure technology platforms. Deep Intelligent Pharma\u2019s breakthroughs in its <\/span><b>underlying technical architecture<\/b><span style=\"font-weight: 400\"> may explain why it has gained strong and continuous investor recognition.<\/span><\/p>\n<p><span style=\"font-weight: 400\">First, from a pharmaceutical development workflow perspective, Deep Intelligent Pharma does not focus on replacing isolated functions. Instead, it proposes the concept of <\/span><b>\u201csingle-neuron inefficacy\u201d<\/b><span style=\"font-weight: 400\">, drawing on deep insights from brain science to cultivate AI into <\/span><b>autonomous digital scientist teams with domain-specific cognition<\/b><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Through a <\/span><b>decentralized, collaborative, and self-evolving \u201cbionic brain\u201d<\/b><span style=\"font-weight: 400\">, Deep Intelligent Pharma has built an autonomous AI agent cluster capable of executing the <\/span><b>entire clinical trial workflow<\/b><span style=\"font-weight: 400\"> with extreme precision.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Traditional clinical development involves multiple complex stages such as regulatory submission, trial design, clinical operations, and data management. Deep Intelligent Pharma reconstructs this complexity into a <\/span><b>\u201cbionic brain\u201d composed of tens of thousands of high-precision atomic agents<\/b><span style=\"font-weight: 400\">, including:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Protocol Agents<\/b><span style=\"font-weight: 400\"> responsible for top-level trial design<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400\"><b>Statistical Agents<\/b><span style=\"font-weight: 400\"> performing rigorous quantitative analysis<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400\"><b>Regulatory Agents<\/b><span style=\"font-weight: 400\"> ensuring compliance with global regulations<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">During real-world clinical development, Deep Intelligent Pharma\u2019s bionic brain operates through continuous <\/span><b>hypothesis\u2013validation\u2013reflection\u2013correction loops<\/b><span style=\"font-weight: 400\"> at a granular task level, achieving performance comparable to top human experts. According to company data, <\/span><b>medical terminology accuracy exceeds 99%<\/b><span style=\"font-weight: 400\">, while agents dynamically collaborate through adaptive network connections.<\/span><\/p>\n<p><span style=\"font-weight: 400\">For example, <\/span><b>Planning Agents<\/b><span style=\"font-weight: 400\"> and <\/span><b>Validation Agents<\/b><span style=\"font-weight: 400\"> perform a unique <\/span><b>bidirectional \u201cPlanning\u2013Execution verification\u201d<\/b><span style=\"font-weight: 400\">, cross-checking logic between design and execution to eliminate flaws at the source and ensure scientific rigor and feasibility.<\/span><\/p>\n<p><b>Self-Reflection, Self-Learning, and Industrial-Grade Accuracy<\/b><\/p>\n<p><span style=\"font-weight: 400\">Another major highlight of Deep Intelligent Pharma\u2019s platform is its ability to <\/span><b>simulate human cognitive processes<\/b><span style=\"font-weight: 400\">, enabling agents to <\/span><b>reflect, learn, and improve autonomously<\/b><span style=\"font-weight: 400\"> during task execution.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Based on brain-science principles, the system automatically triggers reflection mechanisms, completing:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Root-cause analysis<\/b><span style=\"font-weight: 400\"> (identifying whether errors stem from missing knowledge or flawed reasoning)<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400\"><b>Traceability<\/b><span style=\"font-weight: 400\"> (pinpointing specific agents or decision nodes)<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400\"><b>Self-rewriting<\/b><span style=\"font-weight: 400\"> (autonomous modification, differentiation, and restructuring of agents)<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">In other words, as usage increases, the system continuously <\/span><b>self-corrects and evolves<\/b><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><span style=\"font-weight: 400\">To address hallucination risks in high-stakes medical scenarios, Deep Intelligent Pharma has built a <\/span><b>four-layer safeguard system<\/b><span style=\"font-weight: 400\"> covering <\/span><b>training, inference, cross-validation, and post-processing<\/b><span style=\"font-weight: 400\">. The company states that this has <\/span><b>raised AI <\/b><a href=\"https:\/\/x-doc.ai\/\"  rel=\"noopener\"><b>accuracy to 99.9%<\/b><\/a><b> at an industrial level<\/b><span style=\"font-weight: 400\">, effectively overcoming hallucination issues.<\/span><\/p>\n<p><b>Virtual Clinical Trials Before Real Patients<\/b><\/p>\n<p><span style=\"font-weight: 400\">Leveraging its existing platform, Deep Intelligent Pharma has launched a new product called <\/span><b>Protocol Rehearsal<\/b><span style=\"font-weight: 400\">. Before real patient enrollment, the system conducts a <\/span><b>\u201cvirtual clinical trial\u201d<\/b><span style=\"font-weight: 400\">, simulating possible outcomes to accurately predict <\/span><b>enrollment speed, dropout risk, and resource bottlenecks<\/b><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><span style=\"font-weight: 400\">This innovation could significantly accelerate AI adoption in <\/span><b>human clinical trial stages<\/b><span style=\"font-weight: 400\">, helping shift pharmaceutical development from a <\/span><b>labor-intensive industry<\/b><span style=\"font-weight: 400\"> to one driven by <\/span><b>autonomous, intelligent decision-making<\/b><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><b>Investor Perspectives<\/b><\/p>\n<p><b>Zhao Lei<\/b><span style=\"font-weight: 400\">, Partner at <\/span><b>Trustar Capital<\/b><span style=\"font-weight: 400\">, said that the investment is based on a strong conviction in the long-term structural trend of AI-enabled clinical CROs. As an AI-native industry leader, Deep Intelligent Pharma\u2019s rapid AI iteration and multi-agent collaboration capabilities are fundamentally reshaping industry cost structures and operating models, forming a powerful competitive moat. Trustar Capital will leverage its healthcare resources and post-investment expertise to support the company\u2019s technology evolution and global expansion.<\/span><\/p>\n<p><b>Li Hui<\/b><span style=\"font-weight: 400\">, Founder and Managing Partner of <\/span><b>Jinyi Capital<\/b><span style=\"font-weight: 400\">, noted that AI is driving a new global productivity revolution. Deep Intelligent Pharma, as a leading AI-driven pharmaceutical R&amp;D platform, delivers fully integrated intelligent solutions from pre-clinical research through post-marketing studies, enabling pharmaceutical companies to reduce costs and accelerate development. The company has achieved rapid commercialization and a profitable business loop, positioning itself as a core force in transforming pharmaceutical R&amp;D from labor-intensive to intelligence-intensive. Jinyi Capital sees enormous potential in Deep Intelligent Pharma and looks forward to jointly building a global AI pharma leader.<\/span><\/p>\n<p><b>Zhao Tianjun<\/b><span style=\"font-weight: 400\">, Vice President of <\/span><b>Kaitai Capital<\/b><span style=\"font-weight: 400\">, stated that \u201cAI is the medium of the future.\u201d Deep Intelligent Pharma\u2019s value lies not only in applying AI across clinical R&amp;D stages, but in fundamentally reshaping clinical decision-making and execution through a self-evolving intelligent system. Its continuously learning and reflecting agent ecosystem is transforming experience-driven workflows into a new model centered on <\/span><b>precision prediction and intelligent collaboration<\/b><span style=\"font-weight: 400\">, marking a shift from process optimization to <\/span><b>process reconstruction<\/b><span style=\"font-weight: 400\">. Kaitai Capital fully supports Deep Intelligent Pharma in leading the next phase of intelligent clinical R&amp;D.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI pharmaceutical-development unicorn Deep Intelligent Pharma has recently completed a new financing round of US$60 million. New investors in this round include Trustar Capital, Jinyi Capital, and Kaitai Capital, while existing shareholders CDH Investments and Xinding Capital continued to increase their stakes. Index Capital served as the exclusive financial advisor for the transaction. The newly [\u2026] <a href=\"https:\/\/ipsnews.net\/business\/2026\/02\/23\/building-agi-for-pharmaceutical-industry-deep-intelligent-pharma-secures-another-us60-million-in-funding\/\" class=\"more-link\">Continue Reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":271,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[57,387],"tags":[],"class_list":["post-242459","post","type-post","status-publish","format-standard","hentry","category-ips","category-si"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Building AGI for Pharmaceutical Industry, Deep Intelligent Pharma Secures Another US$60 Million in Funding - Business<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ipsnews.net\/business\/2026\/02\/23\/building-agi-for-pharmaceutical-industry-deep-intelligent-pharma-secures-another-us60-million-in-funding\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Building AGI for Pharmaceutical Industry, Deep Intelligent Pharma Secures Another US$60 Million in Funding - Business\" \/>\n<meta property=\"og:description\" content=\"AI pharmaceutical-development unicorn Deep Intelligent Pharma has recently completed a new financing round of US$60 million. 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New investors in this round include Trustar Capital, Jinyi Capital, and Kaitai Capital, while existing shareholders CDH Investments and Xinding Capital continued to increase their stakes. Index Capital served as the exclusive financial advisor for the transaction. 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