Let Human Regeneration Begin

Machines that reawaken your best stem cells.

It starts with patients.

Cell, tissue, and organ replacements are redefining treatment experiences for degenerative diseases.

Our Therapies

Personalized replacements address some of the most challenging diseases.

Muscular DystrophyCongenital Heart DiseaseObesityUrinary Incontinence DiabetesLung DiseaseMacular DegenerationInfertilitySpinal Cord InjuryParkinson’sKidney DiseaseAlzheimer’s

Our Technology

Our proprietary technology stack unlocks the power of personalized regenerative medicine.

AI-driven optical bioprocesses make patient-specific biomanufacturing a reality.

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Deep Learning

Our AI algorithms consistently deliver reproducible, scalable biomanufacturing, far exceeding traditional manual methods.

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Cellinoverse

A digital environment simulating life-like biomanufacturing behavior in silico

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Laser cell management

Laser-generated bubbles precisely remove unwanted cells to control cell density with unprecedented precision.

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Optical Bioprocess

A closed-loop, image-guided optical bioprocess delivers consistent, reproducible results over time by minimizing human variability.

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Tech Stack

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Tech Stack

The Nebula™ platform compresses traditional infrastructure into modular, cassette-based systems, enabling scalable deployment. These systems can power large-scale distributed foundries or be localized in hospitals, dramatically expanding patient access to advanced treatments.

Nebula powers the scalable production of biologically younger, living medicines—transformative, one-time treatments for chronic degenerative conditions. By leveraging self-sourced therapies, it eliminates the need for immunosuppression, dramatically expanding patient access and treatment potential.

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Our Languages

We are Multifluent.

Chemical ManufacturingPhysicsAutonomous DronesBioinformaticsSemiconductorsGenomicsBioengineeringLaser OpticsDeep LearningMechatronicsCell TherapyArtificial Intelligence

Meet Our Amazing Cellineers

Catherine Pilsmaker, MS
Blair Morad
Daeyoung Kim
Hugh Maiocco, MS
Ed Tekeian
Erik Snow
Alexander Stange, PhD
Isaac Degani
August Lin
Eva Buys, PhD
Diwakar Cherukumilli
Emily Hamlin
Chi-Wen Lo, PhD
Ethan Goldman
Brian Smith
Hanah Groton

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