In an exclusive conversation with Indian Startup Times, Umair Mukadam, Co-Founder & CEO of PathPulse AI, shared his unconventional entrepreneurial journey and the vision behind building a global, AI-first road infrastructure intelligence platform. The discussion offered deep insights into how PathPulse AI is using low-cost smartphones, computer vision, and artificial intelligence to reimagine road safety and urban mobility across the world.
An Unconventional Beginning
Umair Mukadam’s career did not begin in technology. Trained in Hotel Management, his early professional years were spent in trading and working closely with a family office. During this phase, he was mentored by an ex-director at UPS, gaining exposure to global operations, investment thinking, and long-term value creation. These experiences laid the foundation for his entrepreneurial mindset, despite being far removed from deep technology at the time.
Before PathPulse AI, Umair founded and scaled a marketing agency focused on tech startups and blockchain projects, building a team of 12–14 professionals. It was during this phase that he met the company’s current co-founder and CTO, Ibrahim Momin,an expert in AI and computer vision.
What started as a development agency soon evolved into something much larger.
The Spark Behind PathPulse AI
The idea for PathPulse AIe was born from a simple observation: traffic signals and road infrastructure in many countries operate on static configurations, with little to no real-time intelligence. Umair recognized that while roads, vehicles, and traffic patterns constantly change, the systems managing them rarely do..
This disconnect sparked a bigger question: could computer vision and AI be used to dynamically optimize traffic signals and continuously map road infrastructure at scale?
That line of thinking is what eventually grew into PathPulse AI.
Solving Hard Problems with Simple Hardware
One of PathPulse AI’s earliest and most defining challenges was running complex AI models on inexpensive smartphones. Instead of relying on costly hardware, the team focused on building lightweight, efficient models that could operate smoothly on low-end devices used by everyday drivers.
Today, PathPulse AI’s app ‘Scout’ is used by over 50,000 users, with 4,500 daily active users, and has distributed more than ₹12 lakh to drivers across 25 countries as incentives for data collection. Drivers—many from platforms like Zepto, Swiggy, Zomato, Ola, and Uber—earn by passively capturing valuable road data while going about their daily routes.
A Unique Data-First Business Model
At its core, PathPulse AI is a data company. Their app Scout collects high-quality, real-time road intelligence that can be used across multiple sectors:
- Traffic signal optimization and urban planning
- Navigation and geospatial analytics
- Law enforcement and traffic violation detection
- Insurance risk assessment
- Training datasets for autonomous vehicles
Unlike traditional data collection methods that rely on expensive surveys or hardware installations, PathPulse AI enables continuous, low-cost data capture at scale. The company is currently running pilots in three countries, including South Africa, with strong revenue potential through enterprise and government partnerships.
Core Technology and What’s Next
PathPulse AI has built proprietary object detection and segmentation architectures capable of identifying potholes, traffic signals, lane markings, helmet violations, and more. Looking ahead, the company is working on an on-device Vision Language Model (VLM), which is designed to understand road conditions contextually while still running efficiently on budget smartphones. This capability is expected to launch within the next two to three months.
Additionally, the team is exploring night vision and lidar integration, with early development underway in collaboration with Middle Eastern partners, further strengthening PathPulse AI’s ability to operate across different countries and conditions.
Working with Governments Isn’t Easy, But It’s Essential
Umair was candid about the challenges of selling to governments and large enterprises. Long sales cycles, bureaucratic hurdles, and trust deficits are common. However, he emphasized that governments are also PathPulse AI’s most critical customers, given their responsibility for roads, safety, and infrastructure planning.
By offering a more cost-effective, data-rich alternative to traditional systems, the company positions itself as a long-term partner rather than a short-term vendor.
Funding, Caution, and Focus
PathPulse AI has raised $900,000 to date, with capital being carefully allocated toward product development, onboarding engineers, marketing, and user retention. Umair stressed the importance of proving traction before aggressive fundraising, especially as a deep-tech founder.
Building AI infrastructure from scratch, ensuring data privacy, and maintaining efficiency at scale are ongoing challenges. But caution along with long-term planning and a clear roadmap has helped the company navigate funding cycles with discipline.
The Bigger Vision: AI as Urban Infrastructure
Looking ahead, Umair believes AI will become foundational to road safety and urban mobility. Real-time insights, predictive analytics, and continuous monitoring can dramatically reduce travel time, accidents, and infrastructure decay.
PathPulse AI’s long-term ambition is to become the infrastructure intelligence layer for governments, mobility platforms, and eventually autonomous vehicles worldwide.
Advice for AI-First Entrepreneurs
For founders building in AI, Umair offered clear advice, “Focus on hard, meaningful problems that aren’t easily accessible to big players. Unique data, not just models, is the real moat. Building government relationships requires patience, credibility, and a long-term outlook, but the impact can be transformational.”
Conclusion
Umair Mukadam’s journey from Hotel Management to leading a deep-tech AI startup is a testament to curiosity and vision. With PathPulse AI, he is not just building a company, but reimagining how cities understand and manage their roads. As AI continues to shape the future of urban infrastructure, the company’s approach of combining affordability and intelligence places it at the forefront of a rapidly evolving global opportunity.
Interview Conducted By: Arushi Agarwal
