Funded by United Nations and UNICEF, Resilience AI deployed AI-powered disaster management plans across 75 Gram Panchayats in Uttar Pradesh, Bihar and Tamil Nadu
National, 11 June 2026: Enterprise-tech and climate resilience startup Resilience AI, alongside UNICEF and RedR India under the UN 75 Village development project, has completed the deployment of AI-supported disaster management plan linked to development plan across 75 Gram Panchayats in Uttar Pradesh, Bihar and Tamil Nadu.
The programme explored how Artificial Intelligence (AI) and Machine Learning (ML) can support climate adaptation and disaster management for development plan as well as at the intersection of sector and community. Implemented across Gram Panchayats in Bahraich district (Uttar Pradesh), Begusarai district (Bihar) and Virudhunagar district (Tamil Nadu), the initiative focused on regions exposed to climate hazards including floods, heat stress and earthquakes.
As part of the programme, Resili
ence AI deployed Resilience360™, a digital web-based platform that combines climatic, geological, ecological and built-environment data to generate hyperlocal risk profile. The platform was used to develop and deploy digital Gram Panchayat Disaster Management Plan (GPDMP) aligned with National Disaster Management Authority (NDMA) guidelines, including multi-hazard risk and vulnerability assessments (HRVA), risk reduction measures, preparedness interventions, response and recovery strategies and linked to Gram Panchayat Development Plan (GPDPs)
Commenting on the initiative, Sarbjit Singh Sahota, Chief DRR a.i., UNICEF, said, “Today’s polycrisis is not neutral or natural. It’s the result of a failure to acknowledge and mitigate systemic risk, hence is an inherently complex proposition. I trust AI/ML can help decision makers comprehend the problems in their wider context. Surprisingly, we found Resilience AI eager to join us on this journey, fully embracing the reality that risk-resilience is not a finite destination, but an endless game.”
Samhita R, Founding CEO, Resilience AI, added, “Climate hazards are experienced locally, but the tools needed to understand them are often not available at the local level. Through this programme, we worked with Gram Panchayats across Uttar Pradesh, Bihar and Tamil Nadu to translate scientific data into practical planning that can be used by local administrators. The objective was not simply to deploy technology, but to ensure that climate risk and disaster management information could be integrated into local decision-making at the community level.”
During training and orientation sessions, findings generated by the platform were validated with local stakeholders. In Tamil Nadu, the system identified a girls’ school as vulnerable to heat stress, a finding confirmed by community representatives. Similar validations were recorded in Bihar and Uttar Pradesh, where flood-prone households identified by the platform were corroborated through community feedback.
Climate resilience needs science, speed, scale. The digital disaster management plans developed under the programme include hyperlocal risk assessments, preparedness and mitigation measures, response and recovery decisions, and digitally mapped action plans linked to local governance processes. The initiative forms part of ongoing efforts to explore how technology aids local governance systems through scientific evidence made explainable, accelerated local decisions based on dynamic intelligence and community participation at scale.
About Resilience AI
Resilience AI is an Enterprise Tech startup enabling organisations and governments to assess, manage, and reduce the loss of capital and lives due to climate hazards through AI and ML-led modelling and simulation. Built in response to systemic gaps exposed by Cyclone Yaas, the company focuses on uncovering under-assessed risk and providing a framework for disaster management for assets and operational continuity by replacing static, non-actionable manual spreadsheets and models with real-time, decision-ready system.
Its flagship platform, Resilience360™, delivers asset-level risk intelligence within 24 hours and organisation-level audit and compliance readiness within 72 hours, supporting faster, more informed decisions across preparedness, planning, and continuity.
The platform is aligned with global frameworks including Sendai, ESG, and TCFD, and is endorsed by the National Disaster Management Authority, Government of India. Resilience AI has also been recognised by MeitY (AI for All Global) and endorsed by National Disaster Management Authority, Government of India, Google for Startups, KPMG Launch Chapell Hill, RiOT Accelerator (North Carolina), Accenture Open Innovation, Shell Changemakers, Lowe’s Catalyze, and UN-Habitat’s Innovate4Cities.
Headquartered in India, Resilience AI focuses on building scalable solutions for climate resilience .
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