Rexis - The L1 for DeSci

Scientific

research

at

rapid

speed.

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OUR MISSION

Rexis™

is

more

than

a platform

for DeSci,

it is a commitment

to

the life

sciences -

a project designed

to

push

the

pace

of

discovery and

innovation

in

biomed

further

than

any

other

catalyst

today.

Rexis™ provides the first entirely encrypted data sharing network for sensitive Biomed datasets.

On a platform where medical institutions can securely compute local gradient updates on their own models.

Through a verification protocol enabling the evaluation of fully encrypted algorithms on patient records.

Rexis™ executes private AI inference on fine-tuned models unique to the causes that matter the most.

THE REXIS EDGE

The complete

solution

for

biomed data.

Data Aggregation and Containerization

Submitted data on Rexis is encrypted end-to-end and containerized by smart contract, aggregated across a diverse set of biomedical data modalities.

Data Training and Finetuning

Rexis facilitates privacy-preserving finetuning and secure clustering of encrypted models across institutions without exposing raw data.

Data Verification and Inference

Rexis executes automated evaluation assessments of the performance of trained models on encrypted data across all supported modalities.

THIS IS REXIS

Changing how research happens.

Data Submission

Hospitals, research labs, pharmaceutical companies, and end users contribute encrypted biomedical datasets to a decentralized data marketplace, with tokenized access control.

Data Rewards

All data contributors receive a unique key and wallet upon submission of their dataset, into which payments are deposited instantaneously when datasets are used for training on the platform.

Data Privacy

All data submitted remains encrypted end-to-end, from point of upload through to training and even through inference. Rexis is the first platform in the world to remain 100% encrypted.

Data Tracking

Data submitted to Rexis is first encrypted, and then uniquely indexed and fingerprinted, so that all data usage by customers training on the platform is tracked for data owner payment.

Data Submission

Hospitals, research labs, pharmaceutical companies, and end users contribute encrypted biomedical datasets to a decentralized data marketplace, with tokenized access control.

Data Rewards

All data contributors receive a unique key and wallet upon submission of their dataset, into which payments are deposited instantaneously when datasets are used for training on the platform.

Data Privacy

All data submitted remains encrypted end-to-end, from point of upload through to training and even through inference. Rexis is the first platform in the world to remain 100% encrypted.

Data Tracking

Data submitted to Rexis is first encrypted, and then uniquely indexed and fingerprinted, so that all data usage by customers training on the platform is tracked for data owner payment.

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Rexis™ is latin for "Kings" paying homage to the period of history that precedes modern day medicine. There has been a class-based dichotomy in quality and access to treatment that has existed since the beginning of time. Rexis exists to make Kings of every human on earth through the first decentralized sciences platform.

Today, breakthroughs in medicine, healthcare, and bio sciences are brought to market typically over the course of a decade or longer. It's how it's always been. But we now live in an age where resources are abundant, access to AI is open to all, and technology has the potential to solve some of the most challenging problems that we once faced. Rexis exists to bring biomedical research and development to market at breakneck speed through the first vertically integrated, end-to-end encrypted medical data, fine-tuning and inference platform.

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THE STATISTICS THAT FOUNDED REXIS

The systemic issues in the biomedical industry today.

A WASTED OPPORTUNITY

<0.01%

of global biodata used in collaborative research

MASSIVE COSTS

$2.3 billion

Average cost to bring a drug to market in 2025

A VERY SLOW PACE OF INNOVATION

>10.5 years

Average time to go from Phase 1 to Regulatory Approval

crafted for businesses

A diverse

set

of

biomedical

modalities.

Biomedical Signals

Including electrocardiograms (ECG), photoplethysmograms (PPG), electroencephalograms (EEG), and wearable sensor data.

Tabular Data

Including electronic health records, and clinical trial data.

Biological Sequences

Including genomic sequences (DNA, RNA), and proteomic sequences.

Medical Imaging

Including radiography (X-rays), pathology, ophthalmology, and dermatology.

HOW RESEARCH LEADERS feel ABOUT REXIS

Industry Excitement

"When data related to research activities are shared ethically, equitably, and efficiently, there are major gains for science and public health."

Dr. Soumya Swaminathan

Chief Scientist, World Health Organization

"So much medical data is just sitting there, waiting for possible applications. I got into this space to create real opportunities for impact."

Dr. Andrew Ng

AI Pioneer and Stanford Adjunct Professor

"The success of the project and the commitment to share all of the data rapidly and freely have revolutionized every aspect of human biomedical research and medical practice."

Dr. Francis Collins

Director of NIH and Leader of the
Human Genome Project

"All the applications in our portfolio will ultimately have an AI model. It’s inevitable. Predictive models can help inform physicians and reduce their cognitive burden, which is transformative for wellness and quality of care."

Dr. Gary Fritz

Vice President of Stanford
Health Care

"When data related to research activities are shared ethically, equitably, and efficiently, there are major gains for science and public health."

Dr. Soumya Swaminathan

Chief Scientist, World Health Organization

"So much medical data is just sitting there, waiting for possible applications. I got into this space to create real opportunities for impact."

Dr. Andrew Ng

AI Pioneer and Stanford Adjunct Professor

"The success of the project and the commitment to share all of the data rapidly and freely have revolutionized every aspect of human biomedical research and medical practice."

Dr. Francis Collins

Director of NIH and Leader of the
Human Genome Project

"All the applications in our portfolio will ultimately have an AI model. It’s inevitable. Predictive models can help inform physicians and reduce their cognitive burden, which is transformative for wellness and quality of care."

Dr. Gary Fritz

Vice President of Stanford
Health Care

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Unleash your scientific research with Rexis.

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