our mission

At SOLVE Chemistry, we are driven by a shared belief that smarter, data-driven solutions can transform the chemical industry and make a real difference in people's lives.

90%

reduction in process development time, months to days

5x

more reactions assessed than previously possible

backed by

The full repository

News & Publications

All

News

Publications

News

Innovate UK

SOLVE Chemistry part of £7mn Innovate UK Grant with Big Pharma Partners

News

Sky News

SOLVE Chemistry announces £4mn round, Sky News coverage

News

Imperial College London

Imperial and SOLVE Chemistry bring chemical reaction data to machine learning

News

Renaissance Philanthropy

The Science of Scale-Up

Publication

Digital Discovery

Auto-VTNA: an automatic VTNA platform for determination of global rate laws

Publication

ACS Sustainable Chemistry & Engineering

Selective and Sustainable Oxidation of Allyl Alcohol in Water Using a TS-1 Catalyst in Continuous Flow: A Machine-Learning-Driven Approach

Publication

SoDaDE: Solvent Data-Driven Embeddings with Small Transformer Models

Publication

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning

Publication

Organic Process Research & Development

Flash Thermal Racemization of Chiral Amine in Continuous Flow: An Exploration of Reaction Space Using DoE and Multivariate Transient Flow

Publication

Neural Information Processing Systems

Transition Constrained Bayesian Optimization via Markov Decision Processes

Publication

ACS Sustainable Chemistry & Engineering

Automated Optimization of a Multistep, Multiphase Continuous Flow Process for Pharmaceutical Synthesis

Publication

Digital Discovery

Operator-free HPLC automated method development guided by Bayesian optimization

Publication

Reaction Chemistry & Engineering

A comparative study of transient flow rate steps and ramps for the efficient collection of kinetic data

Publication

Reaction Chemistry & Engineering

An efficient multiparameter method for the collection of chemical reaction data via ‘one-pot’ transient flow

Publication

Computers & Chemical Engineering

Combining multi-fidelity modelling and asynchronous batch Bayesian optimization

Publication

Neural Information Processing Systems

SnAKe: Bayesian optimization with pathwise exploration

Publication

Reaction Chemistry & Engineering

Discovery of unexpectedly complex reaction pathways for the Knorr pyrazole synthesis via transient flow

September 13, 2024

Publication

Auto-VTNA: an automatic VTNA platform for determination of global rate laws

December 19, 2025

Publication

Selective and Sustainable Oxidation of Allyl Alcohol in Water Using a TS-1 Catalyst in Continuous Flow: A Machine-Learning-Driven Approach

December 1, 2025

Publication

SoDaDE: Solvent Data-Driven Embeddings with Small Transformer Models

December 2, 2025

Publication

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning

February 11, 2025

Publication

Flash Thermal Racemization of Chiral Amine in Continuous Flow: An Exploration of Reaction Space Using DoE and Multivariate Transient Flow

December 13, 2024

Publication

Transition Constrained Bayesian Optimization via Markov Decision Processes

October 3, 2024

Publication

Automated Optimization of a Multistep, Multiphase Continuous Flow Process for Pharmaceutical Synthesis

June 1, 2024

Publication

Operator-free HPLC automated method development guided by Bayesian optimization

February 1, 2024

Publication

A comparative study of transient flow rate steps and ramps for the efficient collection of kinetic data

September 1, 2023

Publication

An efficient multiparameter method for the collection of chemical reaction data via ‘one-pot’ transient flow

February 1, 2023

Publication

Combining multi-fidelity modelling and asynchronous batch Bayesian optimization

December 1, 2022

Publication

SnAKe: Bayesian optimization with pathwise exploration

September 12, 2022

Publication

Discovery of unexpectedly complex reaction pathways for the Knorr pyrazole synthesis via transient flow

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Our team and lab are based in London, but our impact is worldwide

The Team

Founders & Directorship

Dr Linden Schrecker

Founder & CEO

Dr Jose Pablo Folch

CO-Founder & CSO

Alexander Giles

Director

Team

Dr Sarah Boyall

Head of chemical development

Thomas Dixon

Head of automation

Vishal Raman

Founder's Associate

Dr Matthew Bone

Principal Computational Chemist

Dr Nathan Barrow

Director of Product & Customer Strategy

Dr Alexander Atkins

Synthetic Development Lead

Dr Kallum Mehta

Automation Scientist

Francys Fernandez

Commercial Lead

Francesca Pike

System Chemist

Andrew Reza

Lead Software Engineer

Rory Hyatt

Software Engineer

Rasa Pourjam

Machine Learning Engineer

Adrian Martens

Machine Learning Intern

Marco Sandrin

Research Assistant in Optimisation and Design of Experiments

Dr Jesús Sanjosé-Orduna

Research Associate in Continuous Flow Processes

Advisory Board

Prof. Mimi Hii

Advisor, Professor of Catalysis

Prof. Klaus Hellgardt

Advisor, Professor of Chemical Engineering

Dr Christian Holtze

Advisor, Academic Partnership Developer

Dr Joachim Dickhaut

advisor, Senior Principal Scientist

Watch SOLVE Chemistry

Dr Linden Schrecker, CEO of SOLVE Chemistry, interviewed by Sky News in the lab

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