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

Cognizant Expands Google Cloud Partnership to Scale Enterprise AI Deployment

The IT services firm strengthens its collaboration with Google Cloud to help enterprises move AI from pilot projects to production systems

Updated

March 17, 2026 1:02 AM

Google Cloud building. PHOTO: ADOBE STOCK

Enterprise interest in AI has moved quickly from experimentation to execution. Many organizations have tested generative tools, but turning those tools into systems that can run inside daily operations remains a separate challenge. Cognizant, an IT services firm, is expanding its partnership with Google Cloud to help enterprises move from AI pilots to fully deployed, production-ready systems.

Cognizant and Google Cloud are deepening their collaboration around Google’s Gemini Enterprise and Google Workspace. Cognizant is deploying these tools across its own workforce first, using them to support internal productivity and collaboration. The idea is simple: test and refine the systems internally, then package similar capabilities for clients.

The focus of the partnership is what Cognizant calls “agentic AI.” In practical terms, this refers to AI systems that can plan, act and complete tasks with limited human input. Instead of generating isolated outputs, these systems are designed to fit into business workflows and carry out structured tasks.

To make that workable at scale, Cognizant is building delivery infrastructure around the technology. The company is setting up a dedicated Gemini Enterprise Center of Excellence and formalizing an Agent Development Lifecycle. This framework covers the full process, from early design and blueprinting to validation and production rollout. The aim is to give enterprises a clearer path from the AI concept to a deployed system.

Cognizant also plans to introduce a bundled productivity offering that combines Gemini Enterprise with Google Workspace. The targeted use cases are operational rather than experimental. These include collaborative content creation, supplier communications and other workflow-heavy processes that can be standardized and automated.

Beyond productivity tools, Cognizant is integrating Gemini into its broader service platforms. Through Cognizant Ignition, enabled by Gemini, the company supports early-stage discovery and prototyping while helping clients strengthen their data foundations. Its Agent Foundry platform provides pre-configured and no-code capabilities for specific use cases such as AI-powered contact centers and intelligent order management. These tools are designed to reduce the amount of custom development required for each deployment.

Scaling is another element of the strategy. Cognizant, a multi-year Google Cloud Data Partner of the Year award winner, says it will rely on a global network of Gemini-trained specialists to deliver these systems. The company is also expanding work tied to Google Distributed Cloud and showcasing capabilities through its Google Experience Zones and Gen AI Studios.

For Google Cloud, the partnership reinforces its enterprise AI ecosystem. Cloud providers can offer models and infrastructure, but enterprise adoption often depends on service partners that can integrate tools into existing systems and manage ongoing operations. By aligning closely with Cognizant, Google strengthens its ability to move Gemini from platform capability to production deployment.

The announcement does not introduce a new AI model. Instead, it reflects a shift in emphasis. The core question is no longer whether AI tools exist, but how they are implemented, governed and scaled across large organizations. Cognizant’s expanded role suggests that execution frameworks, internal deployment and structured delivery models are becoming central to how enterprises approach AI.

In that sense, the partnership is less about new technology and more about operational maturity. It highlights how AI is moving from isolated pilots to managed systems embedded in business processes — a transition that will likely define the next phase of enterprise adoption.