Alligator Automations Scales from 2 Engineers to 500+ in Packaging Automation
In 2008, two mechanical engineers walked away from their corporate jobs during one of India's worst economic downturns. They had no orders, no factory, and families who thought they'd lost their minds. Their first order was worth Rs 1.5 lakhs — they designed, manufactured, and assembled the entire machine themselves in a rented shed. Today, Alligator Automations is a 500+ person company that builds packaging automation systems for Reliance, Tata, Adani, Cargill, and clients across 20+ countries. This is the story of how a college robotics project turned into one of India's most remarkable industrial automation companies.
Krunal Kantale, Co-Founder and Director of Alligator Automations, grew up in Wardha — a small city near Nagpur — in a middle-class family where both parents were teachers. The career path was supposed to be straightforward: engineering degree, stable job, steady salary. And for a brief moment, that's exactly what happened. But the happiness that was supposed to come with the paycheck never showed up.
Born from a College Robot Competition
The name "Alligator" didn't come from a branding agency or a strategy session. It came from a robot. During their second year at Sinhgad College of Engineering in Pune, Krunal and his classmates formed a team to compete in an inter-college robotics competition. The problem statement was to build an amphibian robot — one that could operate on both land and water.
They sourced components from local markets and the internet, cobbled together a working robot, and named it "Alligator" because, well, alligators are amphibians. That robot wasn't perfect, but it was good enough. And then they kept competing. Over the course of their engineering degree, that same team won 43 national and international awards. By the time they graduated, "Alligator" was already a recognized brand in college circles.
The Alligator Journey
2003-07: College robotics competitions — 43 national and international awards at Sinhgad College of Engineering, Pune
2007-08: Krunal joins an automation MNC; Srinivas Choudhary joins Mahindra & Mahindra
June 2008: Both quit during the recession to register Alligator Automations — just 2 people
2008: First order — Rs 1.5 lakhs, designed, built, and installed entirely by the two founders
2010: Pivotal entry into packaging automation after spotting a massive gap in the Indian market
Today: 500+ employees, serving 20+ countries, clients include Reliance, Tata, Adani, Flipkart, and Cargill
Quitting During a Recession
After graduating, Krunal took a job at an MNC in automation technology, while his co-founder Srinivas Choudhary went to Mahindra & Mahindra. Both gained industrial exposure for about a year. But something was off. "We realized that our potentials were not getting utilized," Krunal recalls, "and the happiness portion was somewhere missing."
So in June 2008 — right as the global financial crisis was tearing through markets — they registered Alligator Automations. The timing was, by any conventional measure, terrible. Their families certainly thought so. Krunal's parents, both retired teachers, couldn't understand why their son would leave a good salary at a reputable company to start something nobody had asked for.
But that first taste of happiness came with a hard lesson. After delivering that first machine, they realized they had no second order. They'd been so focused on execution that they'd completely ignored sales. That was the moment they understood a fundamental truth about running a business: sales and execution have to happen in parallel, not sequentially. Krunal and Srinivas divided their roles — one chased orders, the other delivered them — and never looked back.
Finding the Packaging Gap
For the first couple of years, Alligator Automations took whatever work came their way. There was no strategic focus on packaging — they were generalists, building automation solutions across different domains. But around 2010, they stumbled into the packaging segment and noticed something that changed the trajectory of the company.
There was a real vacuum. No major Indian company was seriously building end-of-line packaging automation. The solutions available in the market were almost entirely imported — from Germany, China, Japan, or other European countries. Indian manufacturers who needed packaging automation had to rely on foreign equipment that was expensive, hard to service locally, and often not tailored to Indian factory conditions.
Why Packaging is a Bigger Market Than You Think
Every single industry — fertilizer, chemicals, FMCG, automotive, cement, food — needs packaging. And packaging isn't just putting a product in a bag. It's the entire chain from the moment a product is ready to be packed until it's loaded onto a truck for dispatch. That includes primary packing, secondary packing, conveying, palletizing, stabilizing, warehousing, and truck loading. The global packaging automation market runs into billions, and India's share is growing rapidly as production volumes surge.
Krunal and Srinivas decided to go all-in on packaging. It was a niche deep enough to build a massive business in, and they had the engineering chops to build solutions that could compete with imports. That decision turned into their turning point.
Six Verticals, One Complete Solution
Today, Alligator Automations divides its packaging business into six distinct verticals that together cover the entire end-of-line journey. This is the full picture of what happens after a product is manufactured and ready to be packed.
Alligator's Six Packaging Verticals
1. Bagging: Putting products into bags — from 25 kg fertilizer sacks to FIBC jumbo bags and open-mouth filling systems.
2. Case Packing: Placing products into cartons and cases — think wafer pouches going into boxes for retail distribution.
3. Intralogistics: Moving packed products within the factory — conveying them to storage, inspection stations, or the next processing step.
4. Palletizing: Stacking products onto pallets using robotic, gantry, or hybrid palletizing systems.
5. Pallet Stabilization: Securing palletized loads through strapping, wrapping, or stretch-hooding so they survive transit.
6. Truck Loading: Automated systems that load pallets directly into trucks for dispatch.
Five of these six verticals are developed entirely in-house. For pallet stabilization, they partner with European technology providers. This combination of deep in-house capability and strategic partnerships lets them deliver complete factory automation — not just a single machine, but an entire system from packing to dispatch.
The "Labor is Cheap" Myth
One of the biggest objections Krunal faces when pitching to Indian manufacturers is the deeply ingrained belief that labor is cheap, so why bother automating? It's an argument that sounds reasonable on the surface, especially for small and mid-sized companies. Hire a few workers, pay them modest wages, and get the packaging done manually. Simple, right?
Krunal flatly disagrees. "Labor is never cheap," he says. "It used to seem cheap when production volumes were lower and you could get by with some jugaad and heavy supervision. But as your production demand goes high — and right now, even mid-size companies in India are seeing rapidly increasing volumes — you simply cannot rely on manual labor."
Manual Packaging vs. Automated Packaging
Manual: Lower upfront cost, but plagued by efficiency losses, quality inconsistency, absenteeism, seasonal labor shortages (Holi, Diwali, harvest season), and the inability to scale with demand surges.
Automated: Higher initial investment, but delivers consistent quality, predictable output, zero absenteeism, scalability, and dramatically lower total cost of ownership when you factor in all the hidden costs of manual operations.
The real ROI calculation: You can't just compare a machine's cost against a laborer's salary. You have to account for efficiency losses, quality rejects, supervision costs, downtime during festivals, and the production you lose when workers simply don't show up.
The argument becomes especially stark during crisis situations. Krunal points to how labor shortages during various crises sent workers fleeing to their hometowns, leaving factories scrambling. Automation doesn't take holidays, doesn't fear pandemics, and doesn't need to be convinced to come back after Diwali.
The 80/20 Approach to Customization
Every factory is different. Different shop floor layouts, different products, different packaging requirements. So how does a packaging automation company avoid becoming a custom-engineering shop that can never scale? Krunal's answer is the 80/20 rule.
Eighty percent of every Alligator machine is standardized — proven designs, tested components, repeatable manufacturing. The remaining 20% is customized to fit each customer's specific needs, primarily around shop floor layout and product specifications. This approach gives them the manufacturing efficiency of standardization while still solving each customer's unique problems.
"It's very difficult nowadays to find ample space," Krunal explains. "If you're working in an existing established factory, you have to ensure you're fitting your equipment in the right way. So yes, there's customization required, and that's actually one of the main reasons we win projects — because we don't just push a standard machine that doesn't fit."
AI, Vision Systems, and the Smart Factory
When Alligator Automations started in 2008, IoT was barely a buzzword and AI in manufacturing was science fiction. But Krunal made a decision early on that proved prescient: from 2012 onwards, every machine they built was IoT-ready — equipped with hardware capable of pushing data to cloud servers whenever the customer was ready for it.
That foresight has paid off handsomely. Today, their machines feed data into customer dashboards for real-time OEE monitoring, predictive maintenance scheduling, quality tracking, and multi-plant visibility. Customers can sit in a single location and monitor production efficiency across all their factories.
AI-Powered Quality Control in Action
Alligator's software arm, Alligator Infosoft, developed an AI vision system that can detect mixed pouches in case packing at speeds of 120-140 products per minute. The system identifies incorrect products in every pick cycle within just 40 milliseconds — catching mix-pack errors that were previously only discoverable through post-dispatch customer complaints and statistical sampling.
Another compelling use case involves robotic depalletizing with computer vision. When empty buckets arrive on a pallet, they're never in a perfectly fixed position — they shift and settle randomly during transit. A traditional robot can't handle this because it needs exact coordinates for every pick. Alligator's vision system captures real-time images, identifies the exact coordinates of each bucket, and feeds those coordinates to the robot for precision picking. It's the kind of problem that sounds simple but requires sophisticated integration of vision AI and robotics.
The Hardest Lesson in Scaling
When Krunal reflects on the journey from two people to 500+, the hardest part wasn't the technology or the sales or even the recession timing. It was learning to let go.
It's a lesson every founder eventually confronts, but Krunal frames it with unusual clarity. The job of a founder evolves. In the early days, you're the designer, the assembler, the installer, and the salesperson. But if you cling to those roles, you become the ceiling for your own company. The real growth happens when you build a team of leaders who can drive each function independently, and you step back to focus on the bigger picture.
Key Takeaways
- Start before you're ready: Krunal and Srinivas launched during a recession with zero orders, zero factory space, and disapproving families. Their first Rs 1.5 lakh order proved the model. Sometimes the worst timing is the right timing if you're solving a real problem.
- Find the vacuum, then fill it: India's packaging automation market was dominated by expensive imports with no serious domestic player. Alligator stepped into that gap and built a complete end-of-line solution that could compete on quality while being locally serviceable.
- Labor is never cheap when you do the full math: The true cost of manual operations includes efficiency losses, quality rejects, absenteeism, supervision, and production downtime during festivals and crises. Automation eliminates all these variables.
- Build IoT-ready from day one: Even when customers aren't asking for data connectivity yet, building the hardware capability in from the start positions you perfectly when digital transformation inevitably arrives.
- Let go to grow: The founder who can't delegate becomes the bottleneck. Building leaders who can independently drive functions is the difference between a small shop and a 500-person company.
About the Guest
Krunal Kantale is the Co-Founder and Director of Alligator Automations. A mechanical engineer from Sinhgad College of Engineering, Pune, Krunal won 43 national and international robotics awards during his college years before briefly working in industrial automation at an MNC. He co-founded Alligator Automations in June 2008 alongside Srinivas Choudhary. Today, he oversees the company's supply chain strategy, engineering, and operational excellence across design, production, quality, and IT functions. He has also expanded the Alligator brand into solar energy (Alligator Solar) and software (Alligator Infosoft).
Alligator Automations is a Pune-based (Chakan) packaging automation company that specializes in end-of-line packaging solutions across six verticals: bagging, case packing, intralogistics, palletizing, pallet stabilization, and truck loading. The company has grown from 2 founders to 500+ employees, serves clients including Reliance, Tata, Adani, Ceat, Cargill, Flipkart, and Petronas across 20+ countries, and is recognized as a FANUC Robot Global Partner. Alligator Automations has been certified as a Great Place to Work for three consecutive years.