Most companies don’t fail at technology. They fail at turning technology into business outcomes.
After 28 years of building Indus Net Technologies from a single desk in Kolkata to a global tech company serving 350+ enterprises, I’ve seen this pattern repeat: companies buy software. Implement systems. Check boxes. And then wonder why nothing changed.
The gap is rarely technical. It’s in how technology connects to intent, process and people. This is what INT does differently.
A bit of backstory
In 1997, during my first year at St. Xavier’s College, a bike accident left me bedridden for weeks. I taught myself animation, stumbled upon an HTML book, and within months was at a computer expo, convincing a modem seller to share booth space.
First client: ₹6,000. Exactly what I needed to cover the booth cost. I didn’t know what venture capital was. I just wanted to build something that would last.
28 years later, we’re a tech, data and AI engineering company. But our starting point is never “what tool should we use?” It’s “what business problem are we actually solving?”
Some context on INT
- Founded in 1997, entirely bootstrapped
- $20M ARR, profitable every year for almost three decades
- 1,100+ professionals across India, the UK, USA, Canada, UAE and Poland
- 350+ active enterprise clients in manufacturing, retail, healthcare, government and media
- Acquired three companies to build a full-stack digital transformation capability
On a personal note
I’m quiet by nature. A proven introvert. I love trekking, and reading books across genres. I collect fountain pens. I aspire to document my experience in a book someday.
Everything decays unless there’s conscious effort to prevent it. Be it business, product, code, relationship, or knowledge.
I am not actively angel investing.
I have taken a conscious break after investing in over 250 amazing ventures. I remain open to strategic investments through the INT Venture Studio model.
Promoter or CXO at a mid-market Indian company, ₹500–5,000+ Cr?
If you are trying to figure out how to actually get value from tech, data or AI, let’s talk. I am not great at small talk, but I do love genuine conversations about real problems.