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.

Urinary Incontinence Spinal Cord InjuryObesityLung DiseaseDiabetesKidney DiseaseInfertilityMuscular DystrophyAlzheimer’sCongenital Heart DiseaseMacular DegenerationParkinson’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.

MechatronicsArtificial IntelligenceAutonomous DronesBioinformaticsSemiconductorsLaser OpticsDeep LearningGenomicsChemical ManufacturingBioengineeringPhysicsCell Therapy

Meet Our Amazing Cellineers

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

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