Circle Pharma vs Emulate
Side-by-side comparison of AI visibility scores, market position, and capabilities
Circle Pharma develops orally deliverable macrocycle drug candidates targeting intracellular protein-protein interactions in cancer; raised $90M Series B in 2023 led by Novo Holdings and Foresite Capital; headquartered in San Francisco;
About
Circle Pharma is a clinical-stage biopharmaceutical company founded in 2016 by Matthew Jacobson, Siegfried Bhagwati, and Grace Aldrovandi, headquartered in San Francisco, California. The company is developing a new class of therapeutics — cell-permeable macrocycles — designed to inhibit intracellular protein-protein interactions (PPIs) that have historically been considered "undruggable." Protein-protein interactions control critical cellular processes including cell division, apoptosis (programmed cell death), and gene expression. Dysregulation of these interactions drives many cancers, but their large, flat interaction surfaces are difficult to block with small molecules, and biologics (antibodies) cannot cross cell membranes to reach intracellular targets. Circle Pharma's macrocycles are medium-sized ring-shaped molecules engineered to be both cell-permeable and orally bioavailable — a combination rarely achieved — enabling them to reach and inhibit these targets.
Pioneering organ-on-chip platform installed in 150+ labs including 17 of the top 25 biopharma companies; launched AVA™ high-throughput 96-chip system in 2025 and holds the only FDA ISTAND-accepted DILI Organ-Chip.
About
Emulate, Inc. is a Boston-based biotechnology company that designs, manufactures, and commercializes Organ-Chip technology — micro-engineered devices lined with living human cells that replicate the microstructure and function of human organs. Founded in 2013 as a spin-out from the Wyss Institute at Harvard University, Emulate's chips model the liver, intestine, lung, kidney, brain, and other organ systems with a fidelity that animal models and traditional cell culture cannot match. The technology was originally developed to reduce drug development attrition rates caused by poor translation from animal studies to human clinical outcomes.
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