In this edition of Bright Founders Talk by Temy, we sit down with Prateek Sanyal, CTO of Retailogists, to explore a journey shaped by bold decisions and deep technical expertise. With a background spanning data engineering, MLOps, and leadership roles at companies like Shopify and Unity, Prateek brings a wealth of experience to the conversation.

His career path took a decisive turn in 2024 when he stepped away from corporate life to pursue entrepreneurship without a fixed plan. That leap led to the creation of his own consulting business, which eventually merged with Retailogists, marking the beginning of his current chapter as CTO. In this interview, Prateek shares candid insights into leadership, personal growth, and the realities of building value outside traditional career structures.

He reflects on early challenges, lessons learned from failure, and how humility became a cornerstone of his leadership style. The discussion also highlights the importance of trust, competence, and self-awareness in leading high-performing engineering teams. Join us as we uncover the story behind Prateek’s transition from corporate expert to startup leader and the mindset that drives his success today.

Foolish or Brave? Why Prateek Bet on Himself — and Won

Prateek doesn’t romanticize his decision to quit a stable corporate career — he calls it exactly what it was: a mix of courage and a little bit of recklessness. After years of working in top tech companies like Shopify and Unity, he reached a point where curiosity outweighed comfort. Instead of following a carefully mapped plan, he chose uncertainty, experimenting with projects, testing ideas, and even trying (and failing) to build a product. That period wasn’t polished or predictable — but it was real, and more importantly, it was necessary.

What drove that leap wasn’t just the desire to “do something new” — it was a deeper question about value. In big tech, compensation doesn’t always clearly reflect impact, and that ambiguity can quietly feed imposter syndrome. Prateek wanted clarity. Consulting became his proving ground — a place where results are tangible, and value is measured in real terms. It was less about escaping corporate life and more about testing himself in the open market, with no safety net.

That same mindset carried into his leadership philosophy. Early on, he admits, he made the classic mistake of relying on titles instead of trust. But experience — and a few humbling moments — reshaped his approach. Today, he leads with awareness, knowing that real authority in tech teams comes from competence, not hierarchy. Engineers don’t follow titles — they follow people who consistently make good decisions. And for Prateek, that realization became a turning point in how he shows up as a leader every day.

From Slide Decks to Real Impact: How Retailogists Bridges Business and Tech

Retailogists wasn’t built to be just another consulting firm — it was created to fix a gap that’s been hiding in plain sight. On one side, you have consultants who can craft beautiful strategies but struggle to execute. On the other, agencies that can build fast but don’t always understand the business behind the code. Prateek explains that Retailogists was designed to merge these worlds, bringing together technical expertise and real commercial thinking into one team. It’s not about delivering outputs — it’s about solving actual business problems end-to-end.

That philosophy runs deep inside the company. Engineers aren’t just writing code — they’re tied directly to business outcomes. At the same time, business-focused team members are expected to get their hands dirty with technology. It’s a two-way street, and that’s exactly what makes the model work. Over time, this approach didn’t just help clients — it naturally led to product development, as recurring problems turned into scalable solutions. What started as consulting began evolving into something much bigger.

And then there’s AI — the wildcard that’s reshaping everything. Prateek doesn’t pretend to have all the answers (no one really does), but he’s clear on one thing: standing still isn’t an option. For smaller, fast-moving teams like theirs, experimenting with AI isn’t a luxury — it’s survival. From changing how code is written to potentially replacing traditional dashboards altogether, AI is flipping old assumptions upside down. Planning matters less, iteration matters more, and the rules of building data systems are being rewritten in real time.

Stop Building for Humans Only: The Shift That Will Define Data’s Future

The way we design data systems today is already becoming outdated — and Prateek isn’t sugarcoating it. For years, everything in data has been built with one audience in mind: humans. Clean dashboards, readable schemas, intuitive reporting. But that mindset is starting to crack. As AI takes a more central role, the real consumers of data won’t just be people — they’ll be machines. And that changes everything, from how systems are structured to where the logic actually lives.

Instead of layering intelligence into BI tools and dashboards, Prateek suggests flipping the model entirely. Let AI interact directly with the raw data — the warehouse, the lake — without unnecessary layers in between. It’s a subtle shift, but a powerful one. Suddenly, the focus moves away from making data “look nice” and toward making it accessible and usable for intelligent systems. It’s not just a technical adjustment — it’s a full-on mindset reset that many teams are still catching up to.

At the same time, Prateek stays grounded in something surprisingly simple: practicality beats hype. While AI opens doors to endless experimentation, he’s not chasing shiny ideas for the sake of it. Every decision ties back to real business value. And that same practicality shows up in how he views failing data projects — most don’t fail because of bad tech, but because they miss the basics. Teams build complex systems before solving simple problems, or create dashboards nobody uses. The real challenge isn’t building more — it’s building what actually matters, and making sure it gets used.

Start With the Question, Not the Data: The Mindset Most Businesses Get Wrong

Too many companies think data is the starting point — collect it, store it, analyze it, and somehow insights will magically appear. Prateek flips that idea completely. For him, everything begins with a question. What are you actually trying to understand? Revenue, conversion rates, profit margins — these are the real starting points. Only once you’re clear on the goal does the data begin to make sense. Otherwise, you’re just collecting numbers with no direction.

He brings this to life with a simple but powerful example. Imagine a retail store with lots of foot traffic but surprisingly low sales. Without context, that data is just noise. But when you connect the dots — who’s coming in, when, and how many actually buy — patterns start to emerge. Suddenly, you’re not just tracking activity; you’re uncovering behavior. That’s where real value lies. And tools like the one his team builds help bridge that gap, turning raw movement into meaningful insights businesses can act on.

When the conversation shifts to entrepreneurship, Prateek gets even more direct. Forget the idea that it’s a shortcut to wealth — it’s not. What really separates those who last from those who burn out is motivation. Some chase status, others try to escape something, but neither tends to hold up over time. The ones who stick with it are obsessed with a problem. That obsession becomes fuel — the kind that keeps you going long after the excitement fades. And for Prateek, that’s the real foundation of building something that actually lasts.