You've switched to oat milk and metal straws.But your pension's still sipping crude oil.Let's fix that.
Coming soon to
Who is Cameron for
Cameron is for anyone who wants a way to make the world a better place to live in. Cameron is for anyone looking for practical solutions to make companies be part of the solution rather than part of the problem. Cameron is for anyone who realises that if you make sustainability the most attractive option, then companies will act sustainably. Even the politicians will catch up, eventually.
What Cameron tells me
The first thing is your profile. Based on your latest conversation, Cameron builds your sustainability profile. You can see the overall results, the results broken down, a summary of the conversation. So it's clear and transparent how Cameron thinks.
The second thing is your tribe. Gathering together everyone's conversations, Cameron finds your sustainability tribe. Are you more like other Planet People, or in the Justice Crew? Maybe you are a leader in the Clean Team, or more comfortable in the Impact Dream. Cameron tells you about your tribe, gives you specific updates, and follows your tribe's key influencers.
The third thing is your pension. Cameron analyses your current pension to see how well it matches your profile. Is it a close match? Great! Your pension matches your values. But if there's a better match, Cameron can tell you so you have the option to switch. That way, you can be sure your pension is invested according to your own values.
Do you want your pension to be sustainable
Most Gen Z do! Here are the numbers:
88%
Employees want to be more involved in their pensions in order to invest in companies making positive ESG impacts.
Source: L&G
How does Cameron work
The Cameron team
We are a group of academics, data scientists and sustainability experts concerned that our pensions were invested in non-sustainable companies. Each of us individually changed our pensions but we realised we would have a much bigger impact if we enabled millions of UK workplace pension holders to do the same. So we built Cameron. Our conversational AI has been developed by Mark Pearce, Dr Ben Winter and the team at Wyser. Our sustainability data and app have been developed by Dr Andrew Tucker, Chris Bowles and the team at Mettle Capital. The initial funding for Cameron comes from Innovate UK.
The Research behind Cameron
Publication
July 2025
Cameron: An Explainable Conversational AI Framework for Multi-Dimensional Sustainability Preference Assessment
Benjamin Winter, Federico Castagna, Ross Baker and Andrew Tucker
This paper introduces Cameron, a novel multi-agent conversational AI system that addresses the critical challenge of transparent sustainability preference assessment through explainable artificial intelligence. As AI agents increasingly handle high-stakes decision-making in sustainable finance, the need for interpretable and trustworthy assessment tools has become paramount.
Cameron's key innovation lies in its explainable multi-agent architecture that dynamically routes conversations while providing full transparency into AI reasoning processes. The system employs specialized agents for input validation, clarification handling, conversation refocusing, and question generation, each with traceable decision logic. Unlike existing black-box sustainability assessment tools, Cameron introduces a novel four-dimensional materiality analysis framework (importance, sentiment, urgency, conviction) with hybrid real-time and retrospective validation that ensures assessment reliability and interpretability.
Paper coming soonPublication
July 2025
Magnitude Algorithm when calculating Financial Materiality for Sustainability Reporting
Majid Jangani, Paresh Date and Andrew Tucker
In this paper, we present a three-stage machine learning framework to quantify ESG financial materiality, exploring how sustainability performance relates to financial returns and identifying which ESG factors most impact stock performance. This model also guides companies in prioritizing sustainability investments and optimizing disclosures for greater value. The first stage, the Static Foundation Builder, establishes the analytical baseline by processing sentiment data from 26 ESG drivers across Environmental, Social, and Governance pillars. It applies supervised learning and mutual information algorithms to select the most relevant features and construct robust target variables.
Building on this, the second stage, the Dynamic Validation Engine, adds temporal analysis through walk-forward validation, regime detection, and rolling window techniques. This stage tests driver stability over time, detects structural breaks, and identifies emerging sustainability signals. Finally, the Comprehensive Validation Suite integrates ensemble modeling to analyze pillar interactions and generate predictive voting classifiers. These models enhance trading strategies and support sustainable portfolio allocation. Our results demonstrate that ESG materiality is quantifiable, temporally dynamic, and provides actionable insights for evidence-based sustainable investing.
Paper coming soon