Calx provides a decision‑intelligence platform that uses AI‑driven systemic modeling and expert validation to quantify hidden social and environmental costs across industries.
Funding
Funding not disclosed
Founders
Product
Problem
Many economic activities appear efficient because they ignore hidden social and environmental costs, leading to widespread harms that are difficult to quantify and address. Without transparent measurement, governments, institutions, and markets cannot compare or mitigate these negative impacts, hindering sustainable growth.
Solution
Calx offers a decision‑intelligence platform that makes hidden costs visible by applying AI‑driven systemic modeling combined with expert validation. The platform uses a transparent, open taxonomy to quantify harms across sectors, producing decision‑grade analysis that can be compared and acted upon. By turning disparate data into comparable metrics, Calx enables stakeholders to identify, prioritize, and reduce adverse impacts, shifting resources from damage control to capacity building. The resulting insights support policy design, investment decisions, and corporate strategies aimed at long‑term resilience and sustainable value creation.
Target Audience
Primary users are policymakers, regulatory agencies, large enterprises, and financial institutions that need rigorous, comparable metrics to assess and mitigate social and environmental harms.
Features
- AI-powered processing of large, heterogeneous datasets to model systemic impacts
- Expert review layer that validates model outputs for accuracy and credibility
- Open, comparable taxonomy that standardizes harm measurement across industries
- Dashboard and reporting tools that deliver decision‑grade analysis and visualizations
- API access for integration with governmental, institutional, and market platforms