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Yoneda Labs

YC W24

San Francisco, US · Founded 2023 · 3 employees · 8 known investors

Yoneda Labs applies AI/ML and high-throughput experimentation (HTE) to chemical reaction optimization, including cross-coupling reactions, for the life sciences and pharmaceutical research market. The company combines chemistry research, software, and robotics to optimize synthetic reactions.

Also known as ReAgentAI · YonedaLabs · Yoneda Labs

AI & Machine LearningBiotechDeep TechEnterprise SoftwareUnited States of AmericaAmerica / Canada

Founders & leadership· Y Combinator alumni (W24)

Yoneda Labs was founded in 2023 by Michał Mgeładze-Arciuch, Jan Oboril, and Daniel Vlasits.

MMMichał Mgeładze-Arciuch
Michał Mgeładze-ArciuchinCo-FounderMichał Mgeładze-Arciuch studied Computer Science at the University of Cambridge and holds software engineering and AI research experience from roles at Jane Street and Berkeley AI Research. He is Co-Founder and CEO of Yoneda Labs.
JOJan Oboril
Jan OborilinCo-founder · Chief ScientistJan Oboril studied chemistry and biology at Cambridge and previously worked as a research chemist at institutes in the Czech Republic and Austria, as well as at Bayer. He has developed machine learning models for applications in chemistry and biology, including cell segmentation models.
DVDaniel Vlasits
Daniel Vlasitsin𝕏Co-Founder, CTOHe studied Computer Science at the University of Cambridge and has worked as a software engineer at Cisco and Optiver, as well as in programming languages research at Cambridge.

Investors · 8

Also in the syndicate · 1

Fellows Fund

Funding

SEC filings, press & company announcements

$8M disclosed across 2 rounds · 2024

Source: company announcements and press reports — follow each round's link for the claim.

Company profile

researched Aug 2026

Yoneda Labs develops artificial-intelligence software for chemical reaction optimization, delivered as a set of products for synthetic and process chemists. Its Yoneda Predict product forecasts reaction conditions for novel reactions, with the stated aims of accelerating lead-compound nomination and increasing the number of analogs a team can synthesize. Yoneda Optimize targets process development, searching for optimal process conditions on a timescale of days rather than months while balancing yield against cost and environmental impact. Yoneda Analyze automates the interpretation of LCMS spectra, detecting and integrating overlapping peaks, associating peaks with masses, and consolidating chromatogram data into a single view.

The company states that its predictive models are trained on tens of thousands of data points generated experimentally in its own wet lab, tying laboratory experimentation directly to model development. It publishes benchmark results for its optimization algorithms and maintains a blog covering topics such as practical guidance on Suzuki-Miyaura cross-coupling and Yoneda Optimize benchmarks.

Business model

Yoneda Labs offers software products (Predict, Optimize, Analyze) to chemistry organizations, with prospective customers engaged through scheduled product demonstrations.

Traction

Published benchmarks for its optimization algorithms and a collaboration with Symeres on AI-optimized cross-coupling reactions.

Latest developments

Yoneda Labs highlighted its work with Symeres on using AI to optimize cross-coupling reactions, and published articles on Suzuki-Miyaura cross-coupling and Yoneda Optimize benchmarks in July 2024.

Full profile — market position, technology, go-to-market

Market position

Combines proprietary wet-lab experimental data generation with predictive modeling, and spans prediction, process optimization and automated analytical data interpretation in one product family.

Technology

AI models trained on tens of thousands of experimentally generated data points from the company's wet lab, used to predict reaction conditions and optimize process parameters, together with automated analysis of LCMS chromatograms including detection and integration of overlapping peaks and mass association.

Go-to-market

Direct engagement via demo requests and product pages on the company website, supported by published benchmark results and technical blog content, plus collaborations with chemistry service providers.

Medicinal, synthetic and process chemists in drug discovery and chemical process development organizations, including contract research organizations such as Symeres.

Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
HeadcountAug 20264

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Competitors · 2

by search overlap

Companies competing with Yoneda Labs for the same Google search keywords, organic and paid, via search-intersection analysis.

Timeline · 1

launches, deals, and filings
Jan 2024
Symeres and Yoneda Labs collaborate on AI-optimized cross-coupling reactions

Yoneda Labs announced work with Symeres applying AI to the optimization of cross-coupling reactions.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

In the news

Research sources · 1

primary sources listed

1 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Yoneda Labs do?
Yoneda Labs builds AI software and wet-lab data pipelines that predict and optimize chemical reaction conditions.
Who founded Yoneda Labs?
Yoneda Labs was founded by Michał Mgeładze-Arciuch, Jan Oboril, Daniel Vlasits in 2023.
Who are Yoneda Labs's investors?
Yoneda Labs's investors include 500 Emerging Europe, DG Daiwa Ventures, KAYA, Olive Tree Capital, Y Combinator, 468 Capital, Khosla Ventures.
How much funding has Yoneda Labs raised?
Yoneda Labs has disclosed $8M raised across 2 rounds.
Where is Yoneda Labs headquartered?
Yoneda Labs is headquartered in San Francisco, US.