The startup operates an AI-based neural network platform that utilizes deep nanotechnology to digitize human cognitive abilities, making them accessible for data analysis. This technology enables clients to extract human-level insights from large datasets, enhancing operational efficiency and automating complex tasks.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Product
Problem
Current methods of capturing and utilizing human expertise are limited by their reliance on individual availability and the difficulty of scaling knowledge transfer. Traditional AI systems often lack the nuanced understanding and contextual awareness inherent in human cognition.
Solution
Brainvivo is developing a platform to digitize human cognitive abilities by creating algorithmic brain models called Brain Twins. These models are constructed using MRI brain scans combined with real-world data to mimic an individual's sensory experiences, emotional responses, and perceptions. The Brain Twins form a Brain Collection, allowing users to access digitized intellects and leverage foundation models to build applications powered by brain data. The platform encodes and decodes individual biological neural networks, capturing brain patterns and neuronal responses to real-world data.
Target Audience
The primary audience includes developers, researchers, and organizations seeking to leverage digitized human wisdom for AI applications, as well as experts interested in preserving and monetizing their cognitive abilities.
Features
- Creation of Brain Twins: algorithmic brain models mimicking individual cognitive processes
- Encoding of biological neural networks (BNN) using MRI scans and real-world data
- Generative models that convert new content into generated brain responses charted according to the individual BNN
- Brain decoders that transform generated BNNs into individual cognitive dimensions
- Library of content-to-brain data used to create generative models
- API integration for querying Brain Twins and accessing cognitive insights
- Tools for building applications powered by BrainTwins data