In the race toward smarter cities and safer infrastructure, one piece of the puzzle remains frustratingly complex—real-time spatial awareness. While LiDAR (Light Detection and Ranging) sensors have become more accessible and advanced, the software needed to interpret their data in dynamic, outdoor environments is still catching up.
The gap between sensing and understanding has left urban intersections, highways, and public infrastructure operating in the dark, especially in challenging weather or low-light conditions.
In this Newzchain Exclusive, we spoke to Tushar Chhabra, co-founder and CEO of Cron AI, a deep-tech startup tackling this challenge head-on. From smart mobility to urban safety, Chhabra shares how Cron AI is rewriting the rules of edge intelligence and why solving perception isn’t just about collecting data, but making sense of it where it matters most.
A Bold Pivot to Edge Intelligence
The rise of LiDAR has been one of the most significant developments in spatial data capture over the last decade. From autonomous vehicles to urban planning, LiDAR sensors promise high-resolution, 3D mapping of the world around us.
But despite its growing adoption, a critical challenge remains largely unaddressed: making sense of the flood of data these sensors generate, especially in real time, and at the edge.
Most LiDAR solutions today stop at the sensor level. The raw data—rich but noisy—is difficult to process without robust software infrastructure. Existing AI models often falter in unpredictable environments, and cloud-based solutions introduce latency that’s unacceptable for real-world applications like traffic monitoring, critical infrastructure protection, and public safety.
This is the problem Cron AI set out to solve. Instead of building yet another sensor, they focused on the intelligence layer. Their flagship platform, senseEDGE, transforms raw LiDAR data into actionable insights—right at the source, in real time, and without the need for complex backend systems.
“There was no reliable, real-time 3D perception system out there that could run at the edge and work in dynamic, outdoor environments,” said Tushar Chhabra, CEO of Cron AI.
“That’s when we made a bold pivot—from hardware to intelligence.”
The implications are far-reaching. From congestion-prone intersections to high-security zones, a reliable 3D perception platform can offer centimeter-level accuracy, all-weather functionality, and quick deployment—all essential for building intelligent infrastructure.
“We’ve taken something extremely complex—3D perception from LiDAR—and made it simple, scalable, and accessible,” Chhabra added. “And we’ve done it without compromising on precision, performance, or reliability.”
Building the Brain Behind LiDAR
What makes Cron AI stand out in the LiDAR ecosystem is its focus on software, the critical piece that turns dense 3D point clouds into meaningful spatial awareness. While most players are in a race to build better sensors, Cron AI has taken a different route. It is building the intelligence layer that makes those sensors useful in the real world.
“At Cron AI, we’re not selling hardware—we’re enabling perception,” said Chhabra.
“From day one, our focus has been on delivering real-time insights directly at the edge, without the overhead of cloud infrastructure or complex integrations.”
This emphasis on software-first design has led to a system that can be deployed in hours, not days. Whether it’s traffic monitoring or security infrastructure, Cron AI’s solution is engineered to be fast, accurate, and easy to scale. That plug-and-play reliability has been a game-changer for clients looking to bring intelligence into infrastructure without disrupting what already exists.
Backed by investors such as YourNest Venture Capital, Venture East, and Next Wave, the startup has expanded globally, with deployments in 17 U.S. states, Australia, the UK, and Saudi Arabia. Their tech is already in use by transport departments to monitor and manage intersections more safely and efficiently.
From a small core team of ten, Cron AI has grown to 35 people distributed across Europe and India, with dedicated units for software engineering and data labeling.
“Our long-term goal is to solve real-world problems—from traffic congestion to mobility gaps—through holistic 3D perception,” Chhabra added. “We’re not chasing trends; we’re building foundational tech for intelligent infrastructure.”
Inside the Culture That Drives Cron AI
Building deep tech is never straightforward, but building it from scratch, in an emerging category, and from outside Silicon Valley? That’s a different challenge altogether.
For Chhabra, the journey of Cron AI has been defined by navigating uncertainty, competing against well-funded incumbents, and convincing the world that the software layer in 3D perception is just as critical as the sensor itself.
“In the early days, we worked with government agencies where the turnaround time was painfully slow. Projects took years to materialise,” Chhabra recalled.
“On top of that, we were building something that hadn’t been done before—hiring talent for a non-existent product category and raising capital for a vision that didn’t fit the mainstream narrative.”
But that very struggle forged the foundation of Cron AI’s culture. With a fully remote and globally distributed team, the company thrives on two core values: transparency and tenacity. The leadership makes it a point to communicate not just the wins, but the setbacks too—something Chhabra believes is vital for morale and trust.
“When things get hard—and they often do—we tell the team exactly where we stand. We either make it work, or we don’t rest till it does,” he said.
That mindset has shaped Cron AI into more than just a product company. It’s a mission-driven team that believes in solving hard problems, communicating honestly, and staying resilient when the odds aren’t favorable.
Staying True to the Mission, Even When No One’s Watching
In a world chasing quick wins and flashy valuations, Cron AI’s story is one of conviction—of solving a complex, underserved problem and sticking with it long enough for the world to take notice. That conviction didn’t come easy. It meant building deep tech from India when few believed it was possible. It meant turning away from trend-driven markets and betting on a longer game.
“Be comfortable being uncomfortable,” says Chhabra, offering advice to aspiring entrepreneurs.
“There’s no playbook when you’re building something that hasn’t been done before. You have to be obsessive about the problem, patient with the process, and ruthless about execution.”
For Chhabra, purpose is the anchor. It’s what kept Cron AI from pivoting too soon or diluting its vision when investor conversations grew difficult.
“Stay close to your customer,” he adds, “but even closer to your purpose. If you’re solving something meaningful with integrity, the right markets will eventually find you.”
That clarity of focus led Cron AI to a critical realization early on—while much of the world’s attention was fixed on autonomous vehicles, there was an equally urgent problem right in front of us: cities that couldn’t see. Intersections, highways, and critical infrastructure were still operating blind.
Cron AI’s response? Engineer a full-stack 3D perception platform from the ground up—purpose-built for edge deployment, high accuracy, and real-world infrastructure environments. Today, it powers smarter, safer systems from the U.S. to the Middle East.
“We’re not just collecting data,” Chhabra says. “We’re delivering clarity, safety, and decision-making power—at the speed of reality.”
As Cron AI continues to scale, its mission remains unchanged: make intelligent infrastructure not just a future vision, but a present-day reality.
Edited by Harshajit Sarmah
