Apoha

Use Apoha to deploy Sensory Intelligence, a new data layer that makes designing for a target consumer experience tractable for the first time.

Apoha captures a molecule's full behavioural state in a single measurement.

Apoha is building the third fundamental data class of molecular science.

The page explains that understanding matter requires a world model for molecular behavior, new sensory measurement methods, and learning from observed molecular behavior.

Apoha is unlocking the next fundamental data class of molecular science to design better medicines, food, and materials.

The company aims to uncover molecular data that influences biologics behavior and product performance.

Apoha provides R&D teams with molecular data showing how molecules, formulations, and materials behave in real-world conditions.

Apoha develops molecular science data to improve medicines, food, and materials.

Apoha's Liquid State intelligence unlocks the next fundamental data class of molecular science to design better medicines, food, and materials.

Apoha introduces AI-powered machines capable of simulating human senses—touch, taste, and smell. The technology integrates sensory feedback systems to analyze and replicate physical interactions. Early applications target consumer product testing and virtual reality experiences.

Jun 2026Chemical & Engineering NewsNews article

Apoha introduces an AI platform enabling machines to analyze material behavior through sensory-like interactions such as touch, taste, and smell. The London-based company emerges from stealth mode with a $36 million funding round completed. Its technology aims to replicate human sensory capabilities in robotic or industrial applications.

Jun 2026HLTHNews article

Apoha launches from stealth mode with $36 million in funding to develop **Liquid State Intelligence**, a system that trains machines to simulate molecular interactions—smelling, feeling, tasting, and predicting how materials behave in real-world conditions. The technology aims to accelerate drug discovery by modeling complex physical and chemical dynamics. The company’s approach focuses on bridging gaps between computational predictions and practical, real-world applications.

Jun 2026MobiHealthNewsNews article

Apoha launches from stealth with $36 million in funding to develop AI models that simulate how physical substances interact. The startup initially focuses on pharmaceutical applications but plans to expand into food science, materials engineering, and broader 'Physical AI' use cases. Its technology aims to accelerate research by predicting molecular and material behaviors through machine learning.

Jun 2026PathfoundersNews article