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The knowledge engine for finance

Experience new ways of doing financial analysis

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Our investors

Entrepreneur FirstSpeedinvestAI Seed

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Tech CrunchForbes

supported by

EU fundingInnovate UKCreative Destruction LabTech Nation
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A data science platform for corporate finance

For too long, corporate finance has had to make do with subpar tools.

Plural brings you real data science, without the overhead of code.

We're the real deal when it comes to AI

We use state-of-the-art technology in order to generate complex financial insights.

We are specialists in NLP, machine learning, semantic search, and knowledge graphs.

Robotics

Benefits of working with Plural AI

All the data

Deal origination

Proactively monitor your market Surface potential deals Explore M&A trends

Goals

Due diligence

Assess a company's market position Generate market insights and trends Explore corporate structures

Growth

Assisted modelling

Run sensitivity analyses Assess unit economics Uncover undervalued opportunities

A team of AI and finance experts

With the perfect blend of industry and technical experience, we know what to build and how to build it.

Camille Rougié

Camille Rougié

CEO and co-founder

Camille has eight years' experience in finance (investment banking and private equity). She spent two years at fintech startup MarketInvoice, where she launched new products worth £1m in revenue to the business. Camille studied linguistics, PPE, and finance across Oxford, Sciences Po (Paris), and the Wharton School.

Dr Jaron Collis

Dr Jaron Collis

CTO and co-founder

Jaron holds a PhD in AI from Queen's University Belfast. He left an award-winning research group to lead development at several tech startups, and has over two decades' experience building natural language and knowledge-based systems.

Corentin Marek

Corentin Marek

Senior data / ML engineer

Corentin is an Entrepreneur First alum and a startup veteran. He was most recently with Arkera and Cytora in London, where he built NLP and deep learning infrastructures from scratch. He holds a MSc in Machine Learning from Joseph Fourier Université, as well as a BSc in Applied Mathematics and Computer Science from ENSIMAG in France.

Michael Nissen

Michael Nissen

Product engineer

Michael works to bring the future into present tense through functional design and software engineering. He is a Danish-educated computer scientist and interaction design engineer, with industry experience spanning startups across five countries.

Chris Samarinas

Chris Samarinas

Data / ML engineer

Chris is an NLP and machine learning specialist. He has built, amongst others, several search engines, news recommendation systems, and question-answering systems. He holds an MSc in Advanced Computing from Imperial College London, and a BSc in Computer Science from the Aristotle University of Thessaloniki (where he graduated first with the highest GPA since 1992!).

Ellie Shatova

Ellie Shatova

Data / ML Engineer

Ellie is a machine learning engineer focused on NLP. She previously interned at NLP start-up Util, working on financial text mining and entity disambiguation tasks. She holds an MSc in Machine Learning at UCL, where her thesis centered on NLP and deep learning, applied to the detection of online hate speech. Prior to her MSc, she was a project analyst at Worldpay, where she project-managed a Big Data transformation program in a team of data scientists and engineers. She also holds a BSc in Physics from UCL.

Maciej Wiatrak

Maciej Wiatrak

Data science intern

Maciej is a machine learning intern. He recently graduated from UCL with a BSc in Computer Science (with a minor in Microeconomics), where he was a research student in the Intelligent Systems group, working on multi-agent reinforcement learning and meta-learning. He previously worked at B2B SaaS startup Growbots, both in commercial and data science roles. His research interests lie in the general area of intelligent systems and machine learning.

Aman Ghataura

Aman Ghataura

Data analyst

Aman is in charge of business development activities and data analysis projects. He graduated from Imperial with an MSci in Physics. His thesis was on the application of Generative Adversarial Networks to generate artificial dark matter detection data. He has experience in the finance industry as an investment banking summer analyst at JP Morgan, and in the defence industry as a software engineer in the algorithms team at MBDA.

Anthony Montaigne

Anthony Montaigne

Front-end developer

After years in the public administration, Anthony decided to transform his hobby into proper skill. After some freelancing and teaching for a full-stack bootcamp, he decided to jump into the world of start-ups.

Plural AI

Accelerator London 35 Kingsland Road London E2 8AA

info@plural.ai

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