1.    Nature of Business

iBio, Inc. (also referred to as "we", "us", "our", "iBio", or the "Company") is a preclinical stage biotechnology company that leverages the power of Artificial Intelligence (AI) for the development of precision antibodies. Our proprietary technology stack is designed to minimize downstream development risks by employing AI-guided epitope-steering and monoclonal antibody (mAb) optimization.

In September 2022, iBio made a strategic pivot by acquiring substantially all of the assets of RubrYc Therapeutics, Inc. ("RubrYc"). This acquisition commenced our transition to an AI-enabled biotech company and led to the divestiture of our Contract Development and Manufacturing Organization (CDMO) business. This strategic decision allowed us focus resources on the development of AI-powered precision antibodies, positioning iBio at the forefront of this exciting field.

One of the key features of iBio’s technology stack is the patented epitope-steering AI-engine. This advanced technology allows us to target specific regions of proteins with unprecedented precision enabling the creation of antibodies highly specific to therapeutically relevant regions within large target proteins, potentially improving their efficacy and safety profile.  Another integral part of iBio’s technology stack is the machine learning (ML) based antibody-optimizing StableHu™ technology. When coupled with our mammalian display technology, StableHu has been shown to accelerate the Lead Optimization process and potentially reduces downstream risks, making the overall development process faster, more efficient and cost-effective.

iBio also developed the EngageTx™ platform, which provides an optimized next-generation CD3 T-cell engager antibody panel. This panel is characterized by a wide spectrum of potencies, Non-Human Primate (NHP) cross-reactivity, enhanced humanness of the antibodies, and a maintained tumor cell killing capacity, all while reducing cytokine release. These attributes are meticulously designed to fine-tune the efficacy, safety, and tolerability of our antibody products. By incorporating EngageTx into iBio’s own development initiatives, the Company’s internal pre-clinical pipeline reaps the benefits of the same cutting-edge technology extended to our potential partners.

iBio’s scientific team, composed of experienced AI/ML scientists and drug hunters located side-by-side in our San Diego laboratory, possess the skills and capabilities to rapidly advance antibodies in house from concept to in vivo proof-of-concept (POC). This multidisciplinary expertise allows us to quickly translate scientific discoveries into potential therapeutic applications.

Artificial Intelligence in Antibody Discovery and Development

The potential of AI in antibody discovery is immense and is being increasingly recognized in the biopharmaceutical industry. The mAbs market has seen impressive growth in recent years, with mAbs increasingly the top-selling drugs in the United States. This success has driven the industry to seek innovative methods for refining and improving their antibody pipelines. AI and deep learning, which have already revolutionized small molecule drug design, are now making significant strides in the development and optimization of antibodies.

iBio is leveraging its AI-powered technology stack to enhance the success rate of identifying antibodies for challenging target proteins, expedite the process of antibody optimization, improve developability, and engineer finely calibrated bi-specifics. By continually refining the Company’s AI algorithms, incorporating new data sources, and developing robust experimental validation processes, iBio is paving the way for groundbreaking advancements in antibody design and drug discovery.

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Pre-Clinical Pipeline

iBio is currently in the process of building and advancing its preclinical pipeline. The focus of this pipeline is primarily on immuno-oncology, with one program also dedicated to the immunology space. By leveraging iBio’s technology stack, the pipeline is geared towards hard-to-drug targets and molecules offering differentiation. To mitigate target risk and capitalize

on the learnings of competitors, iBio's programs are primarily adopting a fast follower strategy. This approach allows iBio to focus on targets that have to some extent been validated and learn from the advancements of those ahead in the field.

Digital Infrastructure

iBio is a firm believer in the transformative power of digital technologies, including robotics, automation, artificial intelligence (AI), machine learning (ML), and cloud computing. These technologies are integral to operationalizing our strategy, accelerating our learning curve, and executing at scale. As such, the Company has made substantial investments in these areas.  iBio’s aspiration is to digitize our operations to the greatest extent possible, harnessing the potential of digital technology to maximize our impact on human health. As the Company continues to grow, we remain committed to further investing in our digital infrastructure to support our ambitious goals.

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Strategic Alliances, Collaborations, and Joint Ventures

iBio has formed collaborations and strategic alliances to gain access to funding, capabilities, technical resources and intellectual property to further its development efforts, commercialize its technology and to generate revenues, including through the use of our patented epitope-steering AI-engine and our EngageTX platform.

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