A new category of tool
​Planetary Intelligence (Pi) sits at the intersection of decision support, knowledge management, and applied sustainability practice.
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We believe that if teams have access to a shared environment that combines their internal context with curated sustainability intelligence, and if the reasoning process is made explicit, traceable and testable, then the quality and defensibility of sustainability decisions will improve.
It is not a chatbot, not another reporting tool, and not a consultant in a box. Pi provides a decision workspace where sustainability choices can be posed, evidenced, compared, and defended. It empowers and enables sustainability practitioners and teams to do more, more quickly, at higher quality.
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​In a market where most “ESG AI copilots” optimise reporting workflows, PI is a Sustainability Decision Co-Advisor: combining domain-specific agents with causal decision diagrams and ROI simulations that recommend what to invest in, in which sequence, with which financial and impact outcomes, across planetary boundary themes—not just how to fill in disclosures.
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Where most tools optimise for one slice — document storage, carbon accounting, or generic AI assistance — Pi is designed for the whole arc of decision-making: framing objectives and constraints, gathering and judging evidence, exploring scenarios (quantitative and qualitative), and turning analysis into action - and will continue to grow and learn with use.
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Planetary Intelligence represents a new category of tool:
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A reasoning platform that combines the best of organisational knowledge management, sustainability expertise, and modern AI. It is designed to make sustainability work actionable — where evidence is clear, reasoning is transparent, and decisions can be acted upon with confidence.
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Pi is NOT another ESG Tool - PI is the bridge from awareness to action, transforming rising demand for sustainability insight into data-driven, system thinkers + AI enabled decision intelligence that powers real deployment and impact, including for cost/benefit analysis & impact modelling.