From cyclone to code How Resilience AI is rewriting disaster lifecycle playbooks
The platform aims to democratise climate resilience and protect assets vulnerable to climate crises
In a world increasingly shaped by volatile weather events, Resilience AI is positioning itself at the confluence of enterprise technology, climate modeling, and disaster lifecycle decisions. Founded in November 2023 by Samhita R, the startup emerged from the devastation of Cyclone Yaas in 2021, which exposed critical gaps in climate resilience planning.
The Problem: Unprepared Enterprises
- 80% of disaster losses stem from infrastructure damage, yet traditional tools fail to capture building-level risks.
- Manual audits take 15-45 days per building—unsustainable for a country with 2 million+ structures.
- Climate resilience is overcrowded with guidelines, leaving businesses without actionable insights.
The Solution: Resilience360
Resilience AI’s flagship product, Resilience360, is an enterprise software that:
- Maps building-level risks for 6 disaster types (floods, heat, cyclones, etc.) with 90%+ accuracy.
- Provides actionable insights based on 55 business resilience parameters.
- Delivers results in 30 minutes to 2 hours, at 30-50% lower cost than alternatives.
Key Differentiators
- Hyperlocal AI/ML models replace zone-level risk assessments.
- Validated in 29 real-time disasters for reliability.
- Integrates global frameworks like Sendai, TCFD, and ESG.
Funding and Traction
- Backed by Kalaari Capital’s CXXO and Java Capital.
- Mapped 400,000+ buildings, with pilots in 20+ cities.
- Recognized by NDMA, Forbes200, TERI, UN Innovate for Cities, and Microsoft.
Target Customers
- Business transformation officers (cost savings, compliance).
- City planners (disaster-ready infrastructure).
- Risk officers (insurance, supply chain stability).
"Disasters don’t wait for a million days." — Samhita R, CEO
Why It Matters
With climate disasters causing $380B+ in global damages annually, Resilience AI bridges the gap between risk awareness and action—turning shock into strategy.
Learn more about Resilience AI | Explore TERI Visakhapatnam Urban Living Lab
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.