Turning climate risk into competitive advantage.
Climate data analytics and sustainability intelligence via APIs and our software platform.
Take control and deliver positive change with Arcturus.
The Paris climate accord aims to keep the temperature increase on the planet to 1.5 ̊C by 2100.
This requires a substantial shift from the current trajectory, which is set to yield a greater than 3.5 ̊C global warming.
We prepare you for likely scenarios that see escalating carbon taxes, tariffs and business disruptions over this decade.
Our proprietary methodology is consistent with TCFD and UN PRI principles, and we rely upon the GHG Protocol's carbon reporting framework
Arcturus delivers granular insights on the drivers of climate and ESG profiles for investment holdings. Track movements in an investment portfolio's environmental performance and sustainability profile over time.
What climate pathway is your investment portfolio or your company on?
Arcturus assesses the climate alignment of portfolios, the credibility of Net Zero targets, and benchmarks companies against their peers with near real-time metrics.
Which corporations are pivoting, investing in climate-smart technologies and positioned to prosper in a low-carbon economy?
Arcturus’s data coverage includes a substantial proportion of the investable universe; we track actual decarbonisation progress and classify corporate innovation patterns.
Sustainability Data Intelligence Platform
The Arcturus platform is an automated, customisable end-to-end sustainability software solution.
Predictive analytics to help financial services companies construct portfolios aligned to defined sustainability goals and address climate-linked financial risks.
Our data APIs and software tools can assist your institution in launching new sustainability-linked products and investment strategies.
Arcturus runs deep learning models that identify near real-time signals hidden in alternative and unstructured data.
Actionable Insights Delivered Via the Arcturus Platform
Quantitative analytics and signals surfaced from reported and alternative data sets via a daily, repeatable process, leveraging millions of data points.