Ecosystem Spotlights

How Tengin Turns Coconuts into Community Wealth

An interview with Tengin founder Madhu on turning coconuts into a business built around farmers, villages and communities.

Updated

June 1, 2026 1:46 PM

Workers of Tengin. PHOTO: TENGIN

In Southern India, coconuts are part of daily life. They are used in food, rituals, farming and home remedies. For Tengin, a social startup whose name means “coconut” in Kannada—a South Indian language—the crop also offers a way to build a rural business with deeper local impact.  

Founded by Madhu Kargunda in 2017, Tengin works with farmers, artisans and women’s collectives in Karnataka to make products from almost every part of the coconut. Its range includes virgin coconut oil, desiccated coconut powder, shell-based handicrafts, candles, home décor items and other coconut-based goods.  

The larger idea is simple. Farmers should play a bigger role in the value created from the crops they grow. Tengin is trying to help rural communities move beyond supplying raw produce and take part in processing, branding, packaging and sales.

From IT to a coconut startup

Madhu grew up in an agricultural family. Over the years, he saw many young people move away from farming to look for stable jobs in cities. To him, the problem was not farming itself. The bigger issue was that farmers often missed out on the value created after crops left the farm.

A coconut might be grown in a village, but much of the income comes later through processing, branding and retail. That gap stayed with him, eventually leading him to leave his eight-year career in IT and return to agriculture full-time.  

Farmers working with Tengin showcasing coconut-based food and handcrafted shell products. PHOTO: TENGIN

Started with just making virgin coconut oil, Tengin has grown into a wider coconut products business. The startup is now working with around 15 to 20 farmers and artisan groups across Karnataka. It is also building production capacity for larger retail and B2B partnerships.

Today, Tengin generates annual revenue of roughly ₹50-60 lakh, or around US$52,000 to US$62,000. It has also started testing international demand, including a recent export of around 200 kilograms of desiccated coconut powder to Texas.

Turning coconut waste into useful products

As Tengin expanded, the team began looking more closely at parts of the coconut that were usually treated as waste or low-value byproducts, such as coconut shells and coir. At first, Tengin treated them that way too.  

“When we started, we used to burn some of the shells”, Madhu said. “Later, we realized it was an economic opportunity”.

That changed the company’s product strategy. Local artisans working with Tengin now are turning coconut shells into bowls, incense holders, candles, coffee mugs, mobile stands and handcrafted décor items.  

A Tengin farmer sits beside coconut husks. PHOTO: TENGIN

This gives Tengin a place in the circular economy, where waste materials are reused instead of thrown away. For Madhu, though, sustainability has to do more than reduce waste. It should also create income in the community.  

“We wanted to minimize waste and maximize wealth locally”, he said.

Why Tengin uses a community-based production model

Tengin does not depend only on one central factory. Instead, it works with smaller village-level production groups that connect to a larger business network. This helps farmers stay close to their land while also taking part in processing and manufacturing. It also creates local jobs, which can reduce the pressure to migrate to cities.

Yet, the model is not always easy. In the early days, Tengin had to convince some farmers to move from chemical farming to natural farming. Moreover, the weather has also become harder to predict. Irregular rainfall and changing harvest cycles can affect coconut prices and production consistency.

Still, Madhu sees the village-based model as central to Tengin’s identity. For him, villages are living systems built on shared work, local knowledge and interdependence.

“The definition of a village is inclusiveness”, he said.

Founder Madhu Kargunda with Tengin farmers at a coconut farm where husks are turned into livelihoods. PHOTO: TENGIN

That belief also shaped Tengin’s “coco tourism” initiative. Through the program, visitors meet farmers, learn about farming practices and see how coconut products are made.

During one visit by MBA students from Indiana State University, an unexpected spell of rain gave the group a closer look at village life. Farmers gathered and began singing traditional folk songs to express gratitude to nature. For the students, it became a lesson in culture as much as business.  

Madhu sees these moments as part of what rural entrepreneurship can protect.

“If villages become empty, we lose language, traditions and local knowledge too”, he said.  

Building trust with farmers and local groups

Tengin’s model is not difficult to copy on paper. Madhu is open about that.  

“Anyone can do it”, he said, “but what matters is how you work with people”.

For him, the harder part is building long-term trust with farming communities. Tengin works through relationships more than rigid contracts. This encourages farmers and local groups to participate in the system in a more collaborative way.

That trust has become one of the startup’s strongest assets. It shapes how Tengin works with producers and how it presents its products to customers.

Selling the story behind coconut products

For Madhu, it is not enough to call a product sustainable. Customers should be able to understand where it came from, who made it and how their purchase supports the people behind it.

Tengin farmers and artisans at the startup’s community farm in Karnataka, where coconuts drive local livelihoods. PHOTO: TENGIN

That matters even more in a market where terms like “eco-friendly” and “organic” have become buzzwords. Madhu knows that these words can feel empty when brands do not show what they actually mean.

“Anyone can use these words today,” he said. “What matters is whether consumers can actually see what you are doing”.  

This is why Tengin focuses on transparency and storytelling. The startup wants customers to see the full journey of each coconut product, from the farm to the finished item. It also wants them to understand whose livelihood is connected to that journey.  

Madhu also believes small brands cannot depend on products alone. Products can be copied, but a clear story, a trusted community and a visible impact are harder to replicate.

“Don’t try to sell only the product,” he said. “When you try to sell the product, you are being sold once”.  

Each Tengin product includes details about the people behind it and how profits are shared. In that way, the company connects its coconut products to the farmers, artisans and village systems that make them possible.

Startup lessons from farming

For Madhu, entrepreneurship starts with the problem. Founders, he believes, should understand the problem deeply before thinking about scale and revenue.  

“An entrepreneur is someone trying to solve an existing problem”, he said. “Sometimes it may be a small problem, sometimes a niche one. It could be in technology, energy, farming or any other sector—but first understand what problem you are trying to solve”.

Farming has also taught him patience. He gives the example of coffee.  

“When you plant coffee, you know it may take five years before you see results”, he said, “but you still [have to] water it every day”.  

He sees entrepreneurship the same way. Building systems, communities and trust takes time. Growth may be slow at first, but daily work matters.

Adaptability is another lesson he returns to often. Farming conditions change constantly, and so do markets. In both cases, people have to keep learning, unlearning and adjusting.

“Entrepreneurship is about constantly learning new things because the world is changing all the time”, he said. “You need to stay relevant, understand what connects with [your customers] and adapt accordingly”.

What comes next for Tengin

Looking ahead, Tengin plans to grow its farmer network, strengthen production capacity and expand its export business. Madhu is also looking to collaborate with more platforms, storytellers and communities that can help amplify the voices behind the products.

The startup is also involved in rural community initiatives, including support for government schools and menstrual health awareness programs.  

For Madhu, giving back is part of how he defines success. With more resources, he would invest further in farmer education, village-level production systems and community development.

By building a business around coconuts, Tengin is also making a larger case for rural entrepreneurship. Its work shows that a modern consumer brand can grow without losing its connection to the farmers, traditions and village ecosystems that make that growth possible. For Madhu, that is the real measure of progress: creating value that stays rooted in the community.

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Artificial Intelligence

SK Telecom Unveils A.X K1: Why Korea’s First 500B-Scale Sovereign AI Model Matters

How Korea is trying to take control of its AI future.

Updated

January 13, 2026 10:56 AM

SK Telecom Headquarters in Seoul, South Korea. PHOTO: ADOBE STOCK

SK Telecom, South Korea’s largest mobile operator, has unveiled A.X K1, a hyperscale artificial intelligence model with 519 billion parameters. The model sits at the center of a government-backed effort to build advanced AI systems and domestic AI infrastructure within Korea. This comes at a time when companies in the United States and China largely dominate the development of the most powerful large language models.

Rather than framing A.X K1 as just another large language model, SK Telecom is positioning it as part of a broader push to build sovereign AI capacity from the ground up. The model is being developed as part of the Korean government’s Sovereign AI Foundation Model project, which aims to ensure that core AI systems are built, trained and operated within the country. In simple terms, the initiative focuses on reducing reliance on foreign AI platforms and cloud-based AI infrastructure, while giving Korea more control over how artificial intelligence is developed and deployed at scale.

One of the gaps this approach is trying to address is how AI knowledge flows across a national ecosystem. Today, the most powerful AI foundation models are often closed, expensive and concentrated within a small number of global technology companies. A.X K1 is designed to function as a “teacher model,” meaning it can transfer its capabilities to smaller, more specialized AI systems. This allows developers, enterprises and public institutions to build tailored AI tools without starting from scratch or depending entirely on overseas AI providers.

That distinction matters because most real-world applications of artificial intelligence do not require massive models operating independently. They require focused, reliable AI systems designed for specific use cases such as customer service, enterprise search, manufacturing automation or mobility. By anchoring those systems to a large, domestically developed foundation model, SK Telecom and its partners are aiming to create a more resilient and self-sustaining AI ecosystem.

The effort also reflects a shift in how AI is being positioned for everyday use. SK Telecom plans to connect A.X K1 to services that already reach millions of users, including its AI assistant platform A., which operates across phone calls, messaging, web services and mobile applications. The broader goal is to make advanced AI feel less like a distant research asset and more like an embedded digital infrastructure that supports daily interactions.

This approach extends beyond consumer-facing services. Members of the SKT consortium are testing how the hyperscale AI model can support industrial and enterprise applications, including manufacturing systems, game development, robotics and autonomous technologies. The underlying logic is that national competitiveness in artificial intelligence now depends not only on model performance, but on whether those models can be deployed, adapted and validated in real-world environments.

There is also a hardware dimension to the project. Operating an AI model at the 500-billion-parameter scale places heavy demands on computing infrastructure, particularly memory performance and communication between processors. A.X K1 is being used to test and validate Korea’s semiconductor and AI chip capabilities under real workloads, linking large-scale AI software development directly to domestic semiconductor innovation.

The initiative brings together technology companies, universities and research institutions, including Krafton, KAIST and Seoul National University. Each contributes specialized expertise ranging from data validation and multimodal AI research to system scalability. More than 20 institutions have already expressed interest in testing and deploying the model, reinforcing the idea that A.X K1 is being treated as shared national AI infrastructure rather than a closed commercial product.

Looking ahead, SK Telecom plans to release A.X K1 as open-source AI software, alongside APIs and portions of the training data. If fully implemented, the move could lower barriers for developers, startups and researchers across Korea’s AI ecosystem, enabling them to build on top of a large-scale foundation model without incurring the cost and complexity of developing one independently.