
Putting climate data back into context to accelerate meaningful action.
Co-creating a Regenerative Future Through Data-Driven Climate Resilience
The Challenge We Face.
The world is at a critical juncture that demands swift, meaningful action at scale—yet the path forward requires better tools and clearer vision.
In today's rapidly changing climate, organisations struggle to access and interpret the data they need to make informed sustainability decisions. Despite an abundance of information, finding relevant, contextual, and actionable climate insights remains a significant hurdle.
Climate risks pose increasing financial threats to investor and shareholder value
78% of leaders cite insufficient access to AI expertise for climate action
Data without context leads to delayed response and missed opportunities
Food value chains are particularly vulnerable with significant economic implications
Digital Twins are our Solution
We hypothesise that AI-powered digital twin technology puts climate data back into context, creating a comprehensive representation of your operations and their environmental impact. Unlike traditional simulations, twins continuously ingest real-time data to generate accurate models for testing, predictions, and recommendations.
Nū Data’s framework paired with this technology would empower organisations to:
Visualise complex climate impacts across supply chains
Predict disruptions before they occur
Develop actionable resilience strategies
Measure and verify sustainability outcomes
Our framework integrates planetary boundaries with social and human rights principles to enhance risk management through data that matters.
Why Nū Data Makes The Difference
🔍 Putting Climate Data in Context
We transform fragmented climate information into coherent insights by integrating internal operations data with external environmental factors, creating a holistic view of your sustainability landscape.
⚡ Making Insights Immediately Actionable
Platforms built on our IP translates complex data into clear recommendations, helping you implement evidence-based solutions for climate resilience without delay.
🌍 Democratising Sustainability
By open-sourcing our framework, we're ensuring that powerful climate resilience tools are accessible to organisations of all sizes, accelerating collective impact.
🔄 Real-Time Adaptation
Digital Twins can continuously update as conditions change, allowing for dynamic decision-making that adapts to evolving climate realities.

"Putting sustainability data back into context is the key to accelerating climate action for planetary and human health."
- Nhiyc, Founder
Spotlight: Building Resilience in Food Value Chains
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The global food system faces unprecedented challenges from extreme weather events, resource depletion, and shifting socio-political landscapes.
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Twins using our framework can help Identify vulnerabilities across grain and crop supply chains and model climate scenarios to anticipate disruptions in production and distribution.
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It can also help Develop adaptation strategies that protect both business operations and food security Reduce food loss and waste through improved supply chain visibility.
Accelerating Collective Progress
At Nū Data, we believe that solving the climate crisis requires collaborative innovation. That's why we've open-sourced our framework—to amplify our impact and enable others to build upon our foundation.
Our open approach means:
Transparent access to our methodologies
Community-driven improvements to our framework
Accelerated adoption of climate resilience solutions
Shared learning across sectors and regions
Join us in building a global community dedicated to data-driven climate resilience.
Join the Climate Resilience Movement
Whether you're a multinational corporation, a sustainability consultant, or a research organisation, Nū Data provides the tools and insights you need to build climate resilience into your operations.
Together, we can create a more resilient, regenerative future.
Explore
Our framework to understand our approach
Connect
With Nhiyc to discuss your specific challenges
Contribute
To our open source community and take action