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

Are Workplace Chats Becoming the Next Layer of AI Memory?

As workplace knowledge spreads across chats, AI firms are building systems that can structure, retrieve and preserve it over time.

Updated

May 26, 2026 5:40 PM

A messaging app on a phone. PHOTO: ADOBE STOCK

Votee AI, an enterprise AI company headquartered in Hong Kong, has partnered with its Toronto-based research lab Beever AI to launch Beever Atlas. The new platform is designed to turn workplace chats into searchable knowledge that AI systems can retrieve and understand.

The release focuses on a growing issue inside organisations. Much of today’s workplace knowledge now exists inside chat platforms such as Slack, Microsoft Teams, Discord and Telegram. Important discussions, project decisions and technical information often disappear into long message histories that are difficult to search later.

Beever AI developed the platform to organise those conversations into a structured system for AI assistants. The software connects with Telegram, Discord, Mattermost, Microsoft Teams and Slack, then converts conversations into linked records of people, projects, files and decisions.

The collaboration combines Votee AI’s enterprise infrastructure work with Beever AI’s research around AI memory systems. The companies are releasing two versions of the product. The open-source edition is aimed at individual developers, researchers and creators. The enterprise edition is designed for banks, government agencies and larger organisations with stricter security requirements.

The release also reflects a broader shift happening across the AI industry. Companies are increasingly looking at how AI systems store and retrieve long-term knowledge, rather than relying solely on large context windows or search-based retrieval.

Earlier this year, OpenAI founding member and former director of AI at Tesla  Andrej Karpathy discussed the growing need for what he described as “LLM Knowledge Bases.” He argued that AI systems need structured and evolving memory rather than depending only on context windows and vector search.

Beever Atlas approaches that problem through workplace communication. Instead of focusing mainly on uploaded files, the system is designed around conversations that happen daily across team chat platforms. It can also process images, PDFs, voice notes and video files within the same searchable system.

The companies say the software is designed to work directly with AI assistants and coding tools such as Cursor, AWS Kiro and Qwen Code. Integrations for OpenClaw and Hermes Agent are expected later in 2026.

Pak-Sun Ting, Co-Founder and CEO of Votee AI  said: "Hong Kong has always been known for property and finance. Beever Atlas is proof that world-class AI infrastructure can emerge from an HK-headquartered company and be shared openly with the world. Every growing organization faces the same silent liability: conversational knowledge loss. Beever Atlas turns this perishable resource into a compounding organizational asset."

A large part of the enterprise version focuses on privacy and access control. The system mirrors permissions from Slack and Microsoft Teams so users can only retrieve information they are already authorised to access. Permission updates are reflected automatically when access changes inside company systems.

The enterprise edition also includes audit logs, encryption controls and data retention settings for organisations handling sensitive internal data. Companies can run the software entirely inside their own infrastructure using Docker and connect it to their preferred AI models through LiteLLM.

The companies argue that organising information is more useful than simply storing chat archives. Jacky Chan Co-Founder and CTO of Votee AI said: "The key technical decision was to treat agent memory as a knowledge engineering problem, not a retrieval problem. Structure beats similarity — a typed graph of who works on what is more useful to an AI than vector search over a Slack archive."

The software also includes protections against prompt injection attacks and systems designed to reduce hallucinated responses. According to the companies, the AI is designed to return “I don't know” with citations when confidence is low instead of generating unsupported answers.

As workplace communication becomes increasingly fragmented across chat platforms, companies are beginning to treat internal conversations as information that AI systems can organise, retrieve and build on. Beever Atlas reflects a broader push to turn everyday workplace communication into long-term organisational memory.