CO/AI Subscribe
Wednesday · June 3, 2026 · Issue No. 885

What does it do?

  • Chemical Manufacturing
  • Drug Development
  • Material Creation
  • Reaction Optimization
  • Pharmaceutical Research

How is it used?

  • Download desktop app
  • optimize chemical reactions offline.
  • 1. Use desktop app
  • 2. Access reaction conditions
  • 3. Train model w/ own data
See more

Who is it good for?

  • Pharmaceutical Researchers
  • Chemists
  • Chemical Engineers
  • Materials Scientists
  • Environmental Scientists

Details & Features

  • Made By

    Yoneda Labs
  • Released On

    2023-10-24

Yoneda Labs develops AI-powered software that optimizes chemical reactions for drug development and material creation. The company's tools assist chemists in determining optimal reaction parameters, such as temperature, concentration, and catalyst, streamlining the process of synthesizing new compounds.

Key features:
- Yoneda Predict: Desktop application providing reaction conditions directly to medicinal chemists, eliminating the need for wet lab experimentation.
- Data-Driven Optimization: Generates a proprietary dataset of chemical experiments to train a model capable of defining optimal conditions for organic reactions.
- Offline Functionality: Custom algorithms enable the app to run fully offline from the chemist's PC, addressing data sensitivity concerns.
- User-Friendly Interface: Designed for simplicity, allowing chemists to employ advanced statistics and machine learning with minimal effort.

How it works:
1. The software analyzes input data about the desired chemical reaction.
2. It utilizes its trained model to determine optimal reaction conditions.
3. The system provides recommendations for parameters such as temperature, concentration, and catalyst.
4. Chemists can implement these recommendations, potentially optimizing reactions in days instead of weeks.

Use of AI:
Yoneda Labs employs generative AI to predict and optimize reaction conditions. The AI model learns from chemists' experimental data, continuously improving its ability to discover optimal conditions for various organic reactions.

AI foundation model:
The company develops proprietary AI models trained on a dataset generated from their own chemical experiments. This approach ensures the quality and relevance of the data used for training.

Target users:
- Chemists involved in drug discovery
- Pharmaceutical companies
- Researchers in material synthesis

How to access:
Yoneda Labs' software is primarily available as a desktop application. Interested parties should contact the company directly for product demos and pricing information.

Company background:
Yoneda Labs was founded by Michal Mgeladze-Arciuch, Jan Oboril, and Daniel Vlasits, all graduates of the University of Cambridge. The company has secured $4 million in seed funding to further develop its foundation model for chemical manufacturing.

  • Supported ecosystems
    Unknown
  • What does it do?
    Chemical Manufacturing, Drug Development, Material Creation, Reaction Optimization, Pharmaceutical Research
  • Who is it good for?
    Pharmaceutical Researchers, Chemists, Chemical Engineers, Materials Scientists, Environmental Scientists

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