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Resilience AI develops a climate technology platform that digitizes climate risk and promotes resilience across various sectors. The company's software helps governments and businesses analyze and mitigate the impact of natural disasters such as floods, earthquakes, and cyclones. It leverages an AI-driven approach to provide insights that enhance preparedness and response strategies for environmental shocks.
Incorporated in 2023, Resilience AI was co-founded by Samhita R., Sundeep Reddy Mallu, and Anshu Sharma. These founders brought together diverse expertise, driven by a shared insight into the pressing need for proactive climate-tech solutions. Their vision was to address the significant costs associated with climate inaction by building a comprehensive platform for understanding and reducing risk.
The platform serves a broad base of customers, including both governmental agencies and private enterprises seeking to bolster their defenses against climate impacts. Resilience AI's long-term vision is to "future proof 1 billion" by providing tools that strengthen resilience against environmental shocks. The company aims to empower organizations to reduce their vulnerability and ensure continuity in the face of escalating climate challenges.
Resilience AI has raised $1.0M across 1 funding round.
Resilience AI has raised $1.0M in total across 1 funding round.
Resilience AI has raised $1.0M across 1 funding round. Most recently, it raised $1.0M Seed in December 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2024 | $1M Seed | — | GSF Accelerator, Java Capital, Quona Capital, Ashish Toshniwal, Nate Lipscomb, Pras Hanuma, Viral Bajaria | Announced |
Resilience AI has raised $1.0M in total across 1 funding round.
Resilience AI's investors include GSF Accelerator, Java Capital, Quona Capital, Ashish Toshniwal, Nate Lipscomb, Pras Hanuma, Viral Bajaria.
Resilience AI is an enterprise software company founded in 2023 that builds Resilience360, an AI/ML-powered platform to manage the full climate disaster lifecycle—from risk assessment to mitigation—for private and public organizations.[1][4][5] It serves companies, governments, and city authorities across sectors like manufacturing, renewable energy, real estate, infrastructure, logistics, and supply chains, solving the problem of inadequate preparedness for climate crises by providing building-level risk profiles for six disaster types with over 90% accuracy, actionable insights based on 55 resilience parameters aligned with global frameworks (Sendai, TCFD, ESG), and real-time scoring to minimize financial losses and manual compliance.[1][4][5] The platform addresses vulnerabilities for overlooked 60% of businesses, assets, and lives, targeting to future-proof 1 billion assets and people by 2030 amid rising extreme events causing $417B in global uninsured losses in 2023.[1][4][5]
Growth momentum includes scanning 8.5 million structures across 190 locations (88 in India, 12 global), tracking 29 real-time events, and key partnerships like Urban Living Lab (Visakhapatnam), hyperlocal risk for Pune/Raigad, and AI/ML for Indian Railways' USBRL project, positioning it to democratize climate resilience in high-exposure markets.[4][5]
Resilience AI emerged from the 2021 Yaas Cyclone (Cat 1), a setback for people, profit, and planet that exposed flaws in conventional tools like scenario models, forecasting warnings, segregated compliance, and annual plans, which fail to counter 5X costs of inaction on climate risks.[1][4] After nearly two years iterating solutions, practitioners with over 50 years collective experience in earth science, architecture, economics, and technology incorporated the company in November 2023.[1][4]
Key founders include Samhita, a third-generation entrepreneur and ISB/SRCC alumna with 20 years building businesses in sustainability, renewables, tech, government, healthcare, buildings, and smart cities at Fortune 500 firms in Asia/Europe; and Roopa Satish, IIM Lucknow alumna with 30+ years in sustainable finance, ESG, climate finance, corporate banking, advising regulators, Climate Bonds Initiative (UK), AXA Climate (France), and boards, focusing on disaster lifecycle for business continuity.[1] Their "itch" to sharpen disaster management as a lifecycle and protect vulnerable assets drove the blend of AI/ML, automation, and global standards into Resilience360.[1][4]
Resilience AI rides the climate tech and AI-for-resilience wave, addressing physical climate risks now ranked top emerging threat by 9/10 bank CROs, with 92% of world's biggest firms facing asset exposure by 2050, $150M global physical assets at risk, and 65% of companies failing to ID vulnerabilities.[5] Timing is critical post-2023's $417B uninsured losses from extremes, as 40 countries list adaptation failure in top 5 risks—shifting from reactive drills to proactive, AI-driven lifecycle management.[1][5]
Market forces like escalating disasters, ESG/TCFD mandates, and uninsured gaps (69% of losses) favor it, influencing ecosystems by enabling SMEs (60% vulnerable assets) via affordable digital tools, bridging gov't-corporate gaps, and scaling via India-focused hyperlocal data amid global south's rising exposure.[1][4][5]
Resilience AI is poised to expand Resilience360 globally, leveraging India pilots to 1B assets/people by 2030 goal, integrating more real-time events and disasters while deepening AI for predictive mitigation.[1][5] Trends like AI self-healing, regulatory convergence (e.g., TCFD evolution), and $multi-trillion climate adaptation markets will accelerate growth, potentially via enterprise wins in renewables/infra and gov't contracts.[4][5] Its influence may evolve from niche disaster tool to standard resilience OS, empowering overlooked players against inaction's 5X costs—proving climate tech's ROI in a volatile world.[1][4]
