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Apoha

Apoha develops the Liquid Brain®, a sensory intelligence machine designed to generate a new class of biophysical data. This technology reveals the hidden physical behaviors of molecules under stress, in motion, and in mixtures. The platform accelerates drug discovery and material design by providing high-resolution insights into biophysical classification challenges.

London, United KingdomFounded 202123700+ followers
Updated 2 months ago

Funding

$36M 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.

+5

Founders

Founder details are not available yet.

Product

Problem

Machines excel at processing digital data but lack the ability to interpret sensory information like smell, taste, and feel, which limits their understanding of complex materials and biological systems. Current methods for analyzing biophysical properties of materials require extensive and time-consuming analysis.

Solution

The startup offers the Liquid Brain®, a liquid-state device that utilizes nonlinear Lucassen waves to enable machines to interpret sensory data from complex molecules. This technology captures the unique sensory fingerprints of complex molecules and formulations, allowing users to "feel" if something is drug-like, sweet, or contaminated without strenuous analysis. The Liquid Brain maps complex materials according to their biophysical properties, comparing how different molecules bend, ripple, float, and dissolve. It also predicts the biophysical characteristics of previously untested molecules, facilitating the design of safe new drugs and delicious foods at scale.

Target Audience

The primary users are researchers and product developers in medical research and material design who need to analyze and understand the sensory properties of complex materials.

Features

  • Liquid-state device leveraging nonlinear Lucassen waves for sensory data interpretation.
  • Capability to capture sensory fingerprints of complex molecules and formulations.
  • Biophysical mapping of materials to compare molecular behaviors.
  • Prediction of biophysical characteristics for untested molecules.
  • Facilitates rapid identification and mapping of biophysical properties in materials.
This profile is AI-generated and may contain inaccuracies.