With a rich blend of entrepreneurship and design, my leadership at Oizom Instruments has been integral in pioneering environmental monitoring solutions. Our focus on creating sustainable living conditions is achieved through precision in measurement and a commitment to leveraging data for actionable insights. The expertise in product and industrial design has been pivotal in establishing Oizom's ecosystem of products.

At Oizom, we as a team, strive for innovation in air quality management and environmental consultancy. The collaboration with engineers and scientists at Oizom reinforces our mission to make the environment understandable and predictable, fostering discussions and partnerships that drive us towards a more sustainable future.

Vrushank Vyas

We recently took a 2-day office trip to Diu.
It was a short break, but a meaningful one. Away from screens, meetings, and deadlines, we had real conversations about progress, life, ideas, and everything in between. 

Good conversations.
Better bonding.
Back to work with more energy.

It’s always interesting to see different sides of your team when the setting changes.
The beaches, the quiet mornings, the long group dinners; simple moments that strengthened bonds.Back to work now, a little more connected and recharged.Grateful for the team.

Vrushank Vyas (V2)

Director @ Oizom Instruments | Environmental Engineering, Entrepreneurship | Scaling Environmental Tech to 80+ Countries | Design-Led Ops

Service Businesses Create Employment. Product Businesses Create Scalable Wealth.

India’s services sector contributes ~55% of GDP, and that has powered employment, exports, and middle-class expansion.
But structurally, there’s a difference.

In most service businesses, revenue scales with headcount, with labour being the primary supply driver. Growth is often linear, and wage inflation directly impacts margins.

In product businesses, revenue scales with demand. The growth might become non-linear as technology and automation expand supply, without proportional increases in headcount.

As India moves toward higher per capita income and global competitiveness, a strategic shift is important: 

Competing on labour costs builds scale.
Competing on intellectual property builds wealth.

If revenue growth depends on hiring, you are expanding.
If revenue growth depends on demand, you are scaling.

The real question for Indian boardrooms is not service vs product. It is: 
Are we building businesses constrained by labour supply or powered by scalable demand?

This photo is from the early days of Oizom.

We were talking through the usual startup chaos. Data everywhere. Spreadsheets upon spreadsheets. Excel files are growing heavier every week. More sensors, more locations, more confusion.

At some point, one of my friends said something that was too obvious:

“Why are you still doing this on Excel?
Why don’t you just build software for it?”

We had thought about it before.
But hearing it said out loud, in that moment, made it impossible to ignore.

Excel was fine when the data was small.
It completely broke when the scale showed up.

That conversation didn’t magically create Envizom overnight. But it shifted how we looked at the problem. We stopped asking how to manage data better and started asking how to design a system that could actually live with it.

That’s where Envizom really began.

Not as a grand product vision, but as a very practical response to growing pain.

Looking back, I realise this happens more often than we admit.

The right idea is usually already floating around.
It just needs the right moment, the right frustration, and someone saying it plainly enough for it to click.

That’s why I still value these conversations so much.
Some things start when Excel finally gives up.

Dubai is building AI. India is deploying it. Both are winning but for very different reasons.

I just got back from Dubai. I spoke to a robot that sounded like ChatGPT. An actual deployed service.

That experience made me think hard about why two countries, with equal AI ambition, are taking completely opposite bets.

— The UAE built Falcon, an LLM that beat Meta and Google on launch day.
— They committed $300M to keep building it.
— Their goal: become the world's AI infrastructure provider.

Makes sense. When you have $1.5 trillion in sovereign wealth and 3.5 million people, you buy talent, build models, and export influence.

— India launched a $1.25B IndiaAI Mission, not to build the next GPT, but to put AI in the hands of farmers, patients, students, and small business owners.
— BHASHINI now supports 35+ Indian languages with 1,600+ AI models.
— 80% of Indian companies treat AI as a core priority.
— Indian SMBs using AI? 78% report revenue growth.

Makes sense. When you have 1.4 billion people, a 14x-growth AI workforce, and the world's second-largest developer community, you build solutions, not just models.

Different contexts. Different strategies. Both rational.

The question isn't who's doing AI right.
The question is: are YOU building AI that reflects YOUR context, or just copying someone else's playbook?

Air: The essence of life... or a silent killer?

Last year, we united researchers, policymakers, industry leaders, and students at #REDEFININGAIR to reimagine air quality protection.

It wasn't just talk; it sparked real responsibility, collaboration, and bold possibilities.

The fight continues. We're back soon. Who's joining? 
Stay tuned! #IAQN #AirQuality #CleanAirNow #CollectiveResponsibility #AirPollution #AQI #IndoorAirQuality #Emissions #EnvironmentalMonitoring #CleanTech #Conference #GreenTech

With over 10 years of experience in the technology field, I am a passionate and innovative leader who strives to create positive social and environmental impact with IoT, clean-tech, and AI solutions. As the CTO of Oizom, a company that develops smart instruments to sense and analyze natural resources, I lead the vision, strategy, and execution of cutting-edge products that help monitor, visualize, and predict environmental data. I am driven by the mission of becoming an environmental big data company by 2025, and leveraging the power of cloud software and AI to empower stakeholders, policymakers, and citizens to make informed decisions for a better planet.

In my current role, I leverage my skills and expertise in robotics, wireless networking, and computer vision to design, develop, and deploy IoT devices that sense and measure air quality, water quality, soil health, and energy consumption. I also oversee the data science and machine learning team that analyzes and interprets the data collected by the devices, and generates insights, reports, notifications, and predictions using AI. I have co-authored a book on computer vision, and have published and presented my work at various international conferences and competitions. I am also a co-founder of Jayso Labs, a not-for-profit organization that helps students, hobbyists, and developers who want to explore electronics technology: I am always eager to learn new things, collaborate with others, and challenge myself to create innovative and impactful solutions.

Sohil Patel

🚀 We benchmarked Sarvam AI vs Gemini for Gujarati Newspaper OCR — here’s what we learned.

At TownPlanMap, our agent crawls Gujarati newspapers every morning to detect real estate public notices.

From each notice, we:
• Extract survey numbers
• Identify owner details
• Understand legal context
• Map notices to geolocations

This is not “just OCR.”
It’s structured extraction from dense, legal, vernacular documents.

We tested both Gemini and Sarvam AI Vision on real Gujarati public notices from production workflows.

While both models performed well, we observed that Sarvam handled Gujarati legal formatting and vernacular nuances more reliably — especially in structured elements like survey numbers and contextual clarity.

In document intelligence pipelines, small improvements in extraction quality make a big difference downstream.

It’s great to see focused innovation happening for Indian languages.
Kudos to the team at Sarvam AI  and the Vivek Raghavan and Pratyush Kumar for building serious infrastructure for vernacular AI 🇮🇳

Sharing some comparison visuals in the post 👇

#AI #OCR #Gujarati #VernacularAI #DocumentAI #PropTech #TownPlanMap

Why the Maker Spirit Still Matters
There’s a different kind of energy inside a makerspace.
Less talk.

More building.

Real problems. Real constraints.
Recently, I spent time with a student team in Ahmedabad preparing for the FIRST Tech Challenge. We went deep into their vision system, especially around AprilTag detection and how it behaves outside controlled lab conditions.
What stood out was not just the tech.
Alongside building their robot, the team has created a community platform to help other students competing in the same challenge. A shared resource hub built using vibe coding, focused on learning, not just winning.
That mindset matters.
I’m glad to support this initiative through Jayso Foundation, because this is how strong engineering ecosystems are built. Not just by shipping products, but by enabling others to build.
The future of Indian R&D is being shaped in rooms like these.
The maker spirit is alive.

And it’s worth backing.

Had a great time in a panel discussion at eChai Ventures focused on the realities of building and scaling hardware manufacturing in India, alongside Rutvij Dasadia and Er. Nandan Shukla, hosted by Shruti Jayswal. 

The discussion stayed refreshingly practical how manufacturing actually works in India, where it breaks, and what you only learn once you start building at scale.

From Oizom’s side, the conversation focused on what it takes to manufacture environmental sensing hardware reliably in India. We spoke about designing products with manufacturability in mind from day one, managing sensor variability across batches, building calibration and quality systems that scale, and why field feedback from real deployments must continuously flow back into R&D and production.

Manufacturing at scale isn’t just about cost or capacity. It’s about process discipline, traceability, and building systems that behave consistently across climates, geographies, and years of operation.

Huge appreciation to Jatin Chaudhary and the eChai Ventures team for consistently creating spaces where founders can have honest, experience-led conversations.

Here it is:
Just walked out of the India AI Impact Summit 2026, Delhi.
One moment stayed with me the whole flight back.
A 16 year old from Pune was presenting an AI model that predicts crop failure before it happens. No funding. No mentor. Just public datasets and curiosity.
Honestly, that hit different.
We keep telling young India to wait. To qualify. To be ready.
The summit said something else entirely.
2 Million new jobs coming by 2030. 22 languages finally understood by machines. Kids between 13 and 21 solving problems that stumped experts.
India is not consuming technology anymore. We are building it. For us. In our languages. For our problems.
Swipe through. I broke down 6 real takeaways from the summit that actually matter for your career.
Which domain are you most excited about? Health, Agri, Climate or Safety? Tell me below.

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