Lets Build a Future Where AI Gives Back
Big Ideas, Real Impact.
Honestly, most conversations about AI focus on what it can generate, not what it can regenerate. We think the difference matters.
Generative AI creates outputs. Regenerative AI actively improves the systems it touches — planetary, human, social, economic, knowledge, institutional, and ethical dimensions.
Right now, most "AI for good" efforts focus on doing less harm: more efficient data centers, optimized processes, reduced emissions. That's not regeneration. True regenerative AI doesn't just minimize negative impact — it actively restores and enhances the systems it engages with.
We built the Regenerative AI Framework to help organizations move from that defensive posture toward actual leadership. Whether you're an investor trying to identify real opportunities, a company doing regenerative work that needs to demonstrate impact, or an organization trying to launch an AI initiative in India — we help you figure out what regenerative actually looks like in practice, and build toward it.
Our Services
Launch Your AI Initiative in India the Right Way
Enter New Markets
You've identified India as a priority — the scale is undeniable, the need is real, and the timing feels right. But India is not a market you can parachute into. The context is complex, trust takes time to build, and last-mile deployment looks nothing like it does in the West. Most organizations either move too slowly trying to figure it out or move too fast and burn relationships that take years to rebuild..
The problem: You don't have the local networks, on-the-ground context, or operational experience to move quickly and credibly. And getting it wrong in India isn't just a setback — it closes doors.
What you get:
Market entry strategy — identify the right entry point, partners, and deployment approach for your specific use case
Leadership and team building — identify and recruit the right local talent to run the initiative on the ground
Local partnership brokering — introductions to credible on-the-ground companies, NGOs, startups, investors, and operators
Use case validation — pressure-test your assumptions about what actually works at scale in India
Stakeholder communications — for funders, partners, regulators, and the communities or customers you're serving
This is the Institutional Regeneration dimension of Regenerative AI — building the local relationships, trust, and infrastructure that allow AI initiatives to take root and actually last.
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Navigate What’s Real in AI for Good
Strategy on AI for Good
You're seeing more AI + climate /social impact deals - carbon tracking tools, efficiency optimization, human development. But what's actually transformative versus incremental? Where's the real opportunity as AI and climate/social impact converge?
The problem: You need to position your thesis, evaluate deals in your pipeline, and help portfolio companies articulate their value - but the space is moving fast and it's hard to separate signal from noise.
What you get:
Futures workshops - strategic sessions to map where the AI + climate space is heading to ensure alignment with dealflow
Monthly signal reports - ongoing intelligence on emerging tech, real opportunities vs hype, and companies worth watching
5-10 consulting hours monthly - for deal pipeline evaluation or portfolio company support
Communications support - narrative development, PR strategy, and content workflows for your fund and portfolio companies
This uses the Regenerative AI framework to evaluate opportunities across all seven dimensions - helping you identify what's truly regenerative versus just "less bad."
Communicate Real Impact, Not Just Tech
Comms + Storytelling
Your AI does real regenerative work - in agriculture, climate, social impact. But potential customers, investors, and partners struggle to understand what you actually do. The technology is abstract. Generic metrics don't convey impact. You need to show how real people are using your product and how it's improving their lives.
The problem: Without authentic stories showing actual usage and outcomes, it's hard to sell, secure funding, or build partnerships. Technical specs and efficiency metrics don't convey impact. "We reduce X by Y%" doesn't land the way a user explaining how your tool actually improved their work does.
What you get:
Strategic positioning - map your offering to the Regenerative AI framework to clearly articulate your impact
Impact storytelling - demonstrate real outcomes through user testimonials, case studies, and authentic narratives
Content workflows - AI-prompted processes for reports, profiles, and campaigns that maintain authenticity
Edited long-form pieces - thought leadership that demonstrates your regenerative approach
Scaled storytelling strategy - build content that proves impact without losing the human center
This is the Knowledge and Social dimensions of Regenerative AI - sharing authentic learning and demonstrating real social impact, not just technical capability.
Who We Are
This isn’t just a business—it’s a reflection of what we believe in. We’re here to create work that matters, led by a shared commitment to quality and care.
Esha Chhabra
Esha Chhabra is an award winning author on Regenerative Business whose TED talk has been viewed over half a million times.
Esha has been a writer and journalist focused on global development, the environment, and business for over a decade.
Her work has appeared in countless publications over the years. From The New York Times, Economist, Guardian, Forbes, The Washington Post, Fast Company, Wired, and most recently Time, Esha has been keen to get solutions-oriented stories out in the news.
She goes beyond the greenwashing to determine if companies are actually pushing the needle, what does regeneration mean, how can regenerative agriculture work for farmers as well as brands, and can mission-driven companies truly be profitable.
Her reporting has been supported by the UN Foundation and the Pulitzer Center in Washington, DC.
Over the years, she’s been hired by companies to help with editorial projects on sustainability and provide guidance on any of their ongoing impact projects. These include companies such as Levi’s, Pottery Barn, and Danone.
Esha is a graduate of Georgetown University and the London School of Economics and Politics Science. Delhi-born, she calls Southern California home.
Anu Sridharan
Anu Sridharan is a 2X Forbes 30 Under 30 Entrepreneur, YCombinator (Summer 2017), and Fast Company’s Most Innovative Companies 2016.
Anu Sridharan bridges climate systems expertise with inside knowledge of how AI companies actually work.
She's spent over a decade building technology companies tackling environmental challenges. As co-founder and CEO of NextDrop Inc, she worked on urban water scarcity for eight years—learning firsthand the gap between technical capability and demonstrable impact.
She later led operations and fundraising at WELL Labs, one of India's leading water research institutions. Most recently, as VP of Sales at SciSpace, she saw how AI could genuinely help people when designed to serve real human needs.
Her work has been recognized by Forbes (30 Social Entrepreneurs Under 30), Y Combinator, Fast Company's Most Innovative Companies, and as an INK Fellow and TED Unilever speaker.
Anu holds a Bachelor's and Master's in Civil and Environmental Engineering from UC Berkeley. California-born, she calls Dehradun, India home.
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