— about the company —

A computational biology and AI company building at the intersection of human biology and artificial intelligence.

Re

ReLive Genomics was founded in April 2026 on a fundamental question: what if artificial intelligence could read the human body the way it reads language — and use that understanding to genuinely improve human life?

While most of the AI industry scales on public text and images, we scale on something different — the biological signals that define who a person actually is. EEG patterns. Genomic sequences. Voice biomarkers. Heart rate variability. The living grammar of a human being.

That foundation powers everything we build — from preserving a person's presence for their family after death, to reconstructing memories lost to dementia, to accelerating the discovery of drugs that actually work at the cellular level.

We are an early-stage company. We are not pretending otherwise. What we have is a published research foundation, a clear technical architecture, and a commitment to building this correctly — with consent, staged privacy controls, and without compromise.

2026
Founded
India
Research base
Phase 0
Active build
Eterno
First product · in development
— what we are building —

ReLive Genomics is a multi-product company. Every product shares the same biological AI foundation — local preprocessing, user review controls, and approved datacenter training designed for long-term human benefit.

Building now

Eterno — Product 01

Privacy-first biological AI preservation. A lifelong personal embedding of a person — owned and operated by their family. In active development.

Research phase

Memory Restoration — Product 02

AI-guided reconstruction of lost memories using biological signal analysis. For families affected by dementia, trauma, and cognitive decline.

Future product

Drug Discovery Engine

Cellular-level simulation of disease using the biological AI stack. Compress therapeutic discovery pipelines from decades to months.

Future product

Longevity Intelligence

Multi-omics analysis of the biological processes governing ageing and cellular health. Understanding the clocks that define how well we live.

— principles —

Biology is the model.

We do not bolt biology onto language models. We start from the cell and build outward.

Privacy is structural.

Biological data is the most personal data there is. Our architecture treats it as sacred — preprocessed locally, user-reviewed, encrypted, and governed by consent.

Patience over hype.

The problems we are working on are decade-scale problems. We will not ship things we do not understand the consequences of.

Built for human betterment.

Every product we release must satisfy one question: does this genuinely improve human life? If the answer is no, we do not ship it.