“We’re not just forecasting, we’re rebuilding decision-making from the ground up.”
That’s the quiet ambition behind Ankur Verma, Ph.D., a deep-tech founder applying cutting-edge AI to one of the world’s most complex and underserved spaces: the supply chain.
As Founder & CEO of Lightscline, Verma is building a scalable AutoML platform designed for mid-market companies, businesses too complex for Excel but too lean for enterprise data science teams. Lightscline focuses on sensor data analytics for sectors like industrial monitoring, using AI to extract valuable insights from raw signals and reduce infrastructure costs.
And the platform’s origin? A Ph.D. research project at Penn State University.
From industrial engineering to scalable AI tools
While completing his doctorate in Industrial Engineering, Ankur saw a recurring gap between academic ML research and real-world adoption, especially among mid-sized firms.
Rather than pursue a traditional research path, he spun out Lightscline, a demand-supply analytics platform that automates forecasting using a hybrid of machine learning and operations research. Unlike black-box tools, Lightscline delivers transparent, tailored insights that match the messy, nonlinear nature of actual business operations.
Since launching from a research project at Penn State, Lightscline has engaged with early pilot partners and academic institutions across the U.S., building momentum in industrial AI applications. The company is independently operated and has not publicly disclosed any institutional funding.
Solving problems at the edge of complexity
What sets Lightscline apart is its deep focus on decision augmentation. For many mid-market companies, forecasting still happens in spreadsheets or siloed ERPs. The result? Over-ordering, inventory loss, and poor responsiveness to changing customer demand.
Lightscline’s platform is designed to process complex sensor data using lightweight AI models, enabling real-time decision support in environments like manufacturing and remote sensing.
As Verma often emphasizes, it’s not about replacing human judgment. It’s about scaling better decisions.
“AI needs to be usable, not just powerful.”
That principle is embedded across Verma’s public work. On LinkedIn, where he’s built an audience of over 6,000 followers, he regularly breaks down the practical application of AI in supply chains: how to evaluate ML models, where automation adds the most value, and why mid-market companies represent one of the biggest missed opportunities in AI adoption.
He’s also vocal about bridging the India–North America corridor, both in talent and tools. Lightscline serves companies across both regions, offering a globally informed but locally grounded solution.
Driving real results in overlooked markets
In an era dominated by AI hype, Ankur Verma is building something different, a practical, impact-driven company serving businesses that have been historically ignored by flashy software vendors.
From predicting SKU-level demand in retail chains to optimizing API distribution in pharma, Lightscline has proven its ability to deliver measurable results where spreadsheets and gut feel used to dominate.
The next wave of enterprise AI will be quiet, usable, and local
And Ankur Verma is already ahead of it. With a rare mix of technical depth, operational fluency, and founder clarity, he’s positioned Lightscline to scale across sectors that desperately need better tools, but don’t have time for abstract AI.
As India’s supply chain systems digitize, and North American mid-market firms seek leaner forecasting systems, Verma’s bet is clear: Real AI success comes not from scale, but from relevance.
