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Trustworthy AI for Sustainable Investing

Trustworthy AI products

Screenshot of a sustainability profile webpage showing sections for Values, Environmental, Social, and Governance. The profile includes bars for sustainability preferences with percentages (37% green, 28% orange, and 35% blue) and a colorful tripe chart representing different values.

Cameron. Sustainable Preferences Engine

A conversational AI to discover your sustainable investing preferences, build your profile, match to appropriate funds.

Ask_Cameron

Read the underlying academic research paper here:

Benjamin Winter, Federico Castagna, Ross Baker and Andrew Tucker. March 2026. Cameron: An Interpretable Conversational AI Framework for Multi-Dimensional Sustainability Preference Assessment

BP dashboard showing steps to analyze material drivers with charts and explanatory text. The first step is selecting an entity, the second shows a bar chart of the top material drivers, the third presents peer group's material drivers, and the fourth discusses Maxwell Intelligence with detailed analysis and bullet points.

Data-driven Financial Materiality

A machine learning framework to quantify ESG financial materiality, so identifying which ESG factors most impact stock performance in an automated manner.

Read the underlying academic research paper here:

Majid Jangani, Paresh Date and Andrew Tucker. February 2026. A New Approach to Identifying Key Financial Materiality Drivers from Sentiment Data

forthcoming on ‘Handbook on AltData for Finance’ 2nd edition (Chapman and Hall Press)

Spotlight on Cameron

Watch our co-founder Andrew Tucker presenting Cameron at Innovate UK’s National Showcase on Next Generation Professional & Financial Services in November 2025

Data-driven Financial Materiality workshop May 2026

Brunel, University of London. Setting out a research agenda

Finding signal in the noise.

Validating an open-sourced intelligence approach to financial materiality assessment in sustainability reporting and assurance. This is important for assurance providers.

01

From description to prediction.

How investors can use dynamic sustainability risks/opportunities metrics to better inform their capital allocation. This is important for institutional investors.

02

Upstream materiality in the supply chain for global firms.

Identifying what SMEs need to report for their main customers. This is important for corporates and their suppliers.

03

If you would like to be involved in this research, please let us know via the Contact Us form below.

Meet the Team

  • Andrew Tucker PhD

    Co-founder, Product

    Originally an academic specialising in the modeling of intangible assets like trust in organisations. For the last 14 years, Andrew has built fintechs solving real world business problems using evolving AI methodologies. Andrew holds a PhD (distinction) from Georgetown University in Political Theory.

  • Chris Bowles

    Co-founder, Engineering

    Started out as a Theoretical Astrophysicist before focusing on software engineering and database development. Chris has 25 year’s experience, focused on data-driven systems and cloud technologies. Chris is a certified scrum master and a Welsh international hockey player.

  • Ben Winter PhD

    Machine Learning Engineer

    The lead researcher on the conversational AI component of Maxwell’s Ask_Cameron product. Ben focuses on developing scalable AI solutions that bridge the gap between cutting-edge research and practical applications.

  • Majid Jangani

    Quantitative Researcher

    The lead researcher on Maxwell’s Data-driven materiality product. Previously a quant trader before returning to academia, Majid holds an MSc in Quantitative Finance.

Frequently Asked Questions

  • We have built two products focused where they can drive sustainable investing the most.

    1. Cameron is Uswitch for sustainable pensions. Cameron is an AI that talks with your about your sustainability preferences and matches your preferences to the best pension fund for you.

    2. Our data-driven materiality tool is an api-first method of determining which sustainability drivers move a company’s share price. It is a four-part model using open sourced unstructured data.

  • This refers to artificial intelligence systems designed to be safe, reliable, transparent and fair in order to respect ethical principles and legal regulations and so build users’ trust.

    More than that, it is also an approach to interacting with users in a way that they can find the technology trustworthy in the same way as other real world systems, like government, academia and policing.

  • An investment approach that generates long-term financial returns while actively supporting positive environmental, social and goverance (ESG) outcomes. It involves selecting companies with strong sustainability practices - such as low carbon emissions, good labour standards - to reduce risk and create a better world.

  • Maxwell is based on published, peer-reviewed research, led by the founders. We believe in trustworthy AI so we make our methodologies publicly available. And we believe that the best way to build a more sustainable world is to surface the metrics that prove real world performance. In that way, capital will be allocated most efficiently to the most sustainable companies.

  • Getting started is simple. Use our contact to set up an initial conversation. We will walk you through the next steps with Cameron or Data-driven Materiality and answer any questions along the way.

  • You can reach us anytime via our contact page or email. We aim to respond quickly—usually within one business day.

Contact Us

Interested in working together? Fill out some info and we will be in touch within a day.