Zerolytics provides a data-driven platform that utilizes financial digital twins and purpose-built analytics to evaluate the credibility of companies' net zero commitments and forecast their emissions pathways. The platform enables asset managers to assess the financial implications of capital expenditure decisions, ensuring alignment with net zero targets while optimizing competitive returns.
Funding
$40M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SCFounders
Product
Problem
Asset managers face the challenge of accurately assessing the credibility of companies' net-zero commitments and understanding the financial implications of aligning with these targets. Traditional financial models often fail to capture the non-linear dynamics and complexities of the net-zero transition, making it difficult to evaluate long-term transition risks. This lack of insight hinders the ability to make informed investment decisions that balance financial returns with climate action.
Solution
Zerolytics offers a data-driven platform that uses financial digital twins and purpose-built analytics to evaluate the credibility of companies' net-zero commitments and forecast their emissions pathways. The platform enables asset managers to scrutinize companies' capital expenditure (CapEx) strategies, highlighting the trade-offs between costs, financial returns, and climate action. By integrating system dynamics and financial modeling, Zerolytics provides a holistic and dynamic approach to business analytics, simulating complex business scenarios and forecasting costs related to reaching net-zero. The platform helps distinguish transition leaders from laggards by providing forward-looking transition metrics, KPIs, and league tables to evaluate companies’ performance against peers globally.
Target Audience
The primary users are asset managers, asset owners, and companies seeking to understand the long-term transition risk towards a future net-zero scenario and make informed investment decisions.
Features
- Financial digital twins that replicate and analyze a business's financial operations, including cash flow, expenses, and investments
- Integration of system dynamics and financial modeling to capture the non-linear dynamics of the net-zero transition
- AI assistant to explore the financial digital twins and unlock insights
- Forward-looking transition metrics, KPIs, and league tables to evaluate companies’ performance
- Scenario simulation tools to assess the impact of changes in key parameters on companies' emission pathways and financial performance
- Analysis of the gap between forecasted emissions pathways and stated reduction targets