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ReactWise

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ReactWise

AI Co-Pilot for Chemical Process Optimization

reactwise.com
HQ: San Francisco, CA, USA
1-10
B2B

Company research

Public company, workplace, funding, and market signals

Overview

ReactWise is a London-based AI copilot for chemical process development and optimization for pharma, biotech, and related chemical manufacturing teams. Its platform uses Bayesian optimization, transfer learning, and proprietary high-throughput reaction data to recommend better reaction conditions, design experiments, and integrate with lab automation.

Primary product

AI copilot for chemical process development and optimization

Founded

2024

Headquarters

London, United Kingdom

Team size

1-10

Industry

Software Development

Sub-industry

AI / scientific software for chemical process optimization

Offices

London, United Kingdom
San Francisco, California, United States

Business model

B2B SaaS
enterprise software subscription
data-as-a-service
pilot / proof-of-concept engagements

Funding

Stage

pre-seed

Total raised

$3.4M

Latest round

Pre-seed · Mar 2025

Latest amount

$3.4M

Pre-seed

Mar 2025 · Y Combinator

$3.4M

People & investors

Leadership

Alexander Pomberger

CEO & Co-Founder

Daniel Wigh

CTO & Co-Founder

Philipp Renz

Machine Learning Engineer

Kaiman Cheung

Automation/HTE Chemist

Adam Jenkins

Strategy & Operations Associate

Seyhan Van Khan

Software Engineer

Sean Kerr

Software Engineer

Nemanja Grujic

Software Engineer

Investors

Innovate UK
UK government
Y Combinator

Work & culture

Mission-driven, science-first, collaborative, data-integrity-oriented, and learning-focused; the company emphasizes scientific empowerment, innovation with purpose, open collaboration, and greener chemistry workflows.

Compensation

Public postings mention competitive cash salary for internships; no public company-wide compensation bands were found.

Benefits

competitive cash salary
flexible full-time / part-time internship options
hands-on wet-lab experience
real-world impact on sustainable medicines manufacturing
opportunity to contribute to lab automation

Product & market

Pricing

Enterprise subscription software, with pilots/proof-of-concept work and data-as-a-service offerings

Differentiators

  • —proprietary in-house reaction datasets and descriptors
  • —pretrained chemistry models that do not start from scratch
  • —MemoryBO transfer-learning optimization across related reactions
  • —integration with automated lab hardware and ELNs
  • —no-code workflow for chemists
  • —case-study evidence with large pharma and other industrial partners
  • —high-throughput experimentation and data-generation capability in-house

Technology

Bayesian optimization
multi-task Bayesian optimization
MemoryBO
transfer learning
Gaussian processes
high-throughput experimentation (HTE)
robotic / automated lab integration
electronic lab notebook (ELN) integration
Open Reaction Database (ORD) format
proprietary reaction datasets
closed-loop DMTA workflows
Chemspeed
OT-2
Agilent 1290

Customers

pharmaceutical companies
biotech companies
materials manufacturers
large pharma teams
Pfizer
A&B Smart Materials
Pharmaron

Competitors

JMP
Squonk
ROSOFT
Lewis
Analyze IQ
SAFIA
Goebel Instrumentelle Analytik

Scale & contact

Estimated revenue

about $330K ARR (estimated)

Estimated monthly visits

2K

info@reactwise.com
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