Few industries are evolving as rapidly as logistics. The explosive growth of e-commerce, quick commerce, and on-demand services has fundamentally reshaped customer expectations, turning speed and precision into competitive necessities. Yet behind every successful delivery lies an invisible challenge: making millions of interconnected operational decisions in real time.
Assigning riders to orders, planning vehicle routes, allocating resources, or balancing delivery commitments may appear straightforward. In reality, each decision involves evaluating multiple operational constraints such as distance, capacity, delivery deadlines, rider availability, service zones, and changing business priorities. As logistics networks continue to grow, this complexity outpaces conventional strategies.
It is this challenge that EulerQ Software Private Limited has set out to solve. Rather than building another logistics platform, the Bengaluru-based deep tech startup is developing intelligent optimization engines that enable enterprises to make faster, smarter, and more informed operational decisions. By combining mathematical optimization, artificial intelligence, and quantum-inspired optimization techniques, EulerQ is addressing today’s operational challenges while laying the foundation for the next generation of enterprise optimization.
Building A Quantum-Ready Optimization Company
EulerQ Software Private Limited was founded by Mr. M. Maruthu Pandi, an industry professional with over fifteen years of experience in logistics and supply chain operations, and Mr. Tharrmashastha SAPV, a doctoral researcher in quantum algorithms at the Indraprastha Institute of Information Technology – Delhi. Bringing together deep operational expertise and advanced computational research, the founders recognized that while logistics has become increasingly digital, most of its strategies continue to rely on manual judgment, rigid business rules, or legacy optimization systems.
Instead of replacing them, EulerQ has positioned itself as an optimization intelligence company, developing decision-support engines that integrate seamlessly with existing workflows and transform operational data into actionable decisions.
Unlike many organizations that view quantum computing as an unexplored innovation, EulerQ has adopted a pragmatic approach. Its products leverage quantum-inspired optimization techniques that run efficiently on present computing infrastructure while being quantum-ready by design. The optimization models and mathematical formulations underlying its solutions are being developed to leverage future advances in fault-tolerant quantum computing as the technology matures.
As Mr. M. Maruthu Pandi, Co-Founder & Chief Executive Officer, explains, “Businesses don’t invest in algorithms— they invest in better decisions. Every optimization model we develop is designed to create measurable operational value, whether through lower delivery costs, better resource utilization, improved service levels, or greater operational visibility”.
This philosophy has shaped the company’s product development. Every optimization engine is designed to solve practical business challenges while remaining adaptable for future computational advancements.
Rider Order Optimization (Roa): Rethinking Last-Mile Decision Making
Among EulerQ’s growing portfolio of products, its flagship solution is the Rider Order Optimization (ROA) engine.
At first glance, assigning a rider to an incoming order appears straightforward . In reality, every assignment involves balancing multiple competing objectives. A dispatcher must simultaneously consider rider availability, delivery commitments, travel distance, carrying capacity, geofencing restrictions, shift schedules, workload distribution, and numerous customer-specific business rules.
The ROA engine combines advanced mathematical optimization with quantum-inspired optimization techniques to evaluate these factors simultaneously, generating assignments that balance operational efficiency with real-world business constraints. Unlike conventional rule-based dispatch systems, ROA explores a significantly larger decision space before recommending the most effective rider-order allocation.
What makes the platform particularly distinctive, however, is its focus on fairness.
Across the logistics industry, rider attrition has become an increasingly significant operational challenge. Uneven workload distribution, excessive travel distances, and perceived bias in assignments can contribute to dissatisfaction and higher turnover. EulerQ believes that these challenges cannot be addressed by focusing solely on cost or speed.
As Mr. Tharrmashastha SAPV, Co-Founder & Chief Technology Officer, explains,“Efficiency and fairness should not be competing objectives. Modern optimization techniques allow organizations to balance multiple objectives simultaneously. When businesses optimize for both operational performance and rider well-being, they create more resilient delivery networks.”
Accordingly, ROA incorporates workload balancing and fairness directly into its optimization framework, helping organizations improve rider utilization while promoting a more sustainable delivery workforce. Designed as an API-first platform, the solution integrates seamlessly with existing logistics systems while providing visibility into key operational metrics.
The research underpinning ROA further reflects EulerQ’s broader technological vision. The company’s work on rider-order assignment, presented at the QCNC 2026 Workshop in Japan, benchmarked classical, quantum-inspired, and emerging quantum optimization approaches for solving large-scale logistics problems.
Beyond Rider Order Optimization
While Rider Order Optimization is EulerQ’s flagship solution, it forms part of a broader quantum-inspired and quantum-ready optimization ecosystem.
The company is developing advanced vehicle routing solutions for Capacitated Vehicle Routing Problem (CVRP) and the Vehicle Routing Problem with Time Windows (VRPTW), helping logistics providers optimize fleet utilization, reduce travel distance, improve route planning, and enhance overall delivery efficiency.
EulerQ is also extending its optimization expertise into enterprise data operations through intelligent data reconciliation solutions capable of comparing massive datasets to identify missing records, inconsistencies, and transactional discrepancies. By applying advanced optimization methodologies across diverse business domains, the company aims to help organizations make faster, more accurate, and more reliable operational decisions.
Together, these solutions reinforce EulerQ’s vision of becoming a trusted optimization intelligence company capable of solving complex decision-making challenges across logistics, supply chains, mobility, and enterprise operations.
Looking Ahead
As supply chains become increasingly connected and business operations more data-driven, intelligent decision-making will become one of the defining competitive advantages of the coming decade.
EulerQ is positioning itself at the convergence of operations research, artificial intelligence, and quantum-inspired optimization, developing technologies that deliver value today while remaining ready for the computational advances of tomorrow. Its long-term vision is not simply to automate operational planning, but to build quantum-ready optimization engines capable of evolving alongside the next generation of computing technologies.
As practical quantum computers mature, organizations will increasingly seek solutions that can seamlessly leverage these capabilities without rebuilding their operational systems from scratch. By designing its optimization models with this future in mind, EulerQ aims to ensure that its customers are prepared to take advantage of quantum computing from the moment it becomes commercially viable.
As Mr. M. Maruthu Pandi concludes, “Growth, for us, is measured by technology that customers can trust, deploy, and measure in real-world conditions. When optimization consistently helps businesses make better decisions, that’s where innovation creates lasting value.”
The future of logistics will not simply be defined by faster deliveries or larger fleets. It will be defined by better decisions. By combining practical business understanding with quantum-inspired innovation and a quantum-ready vision, EulerQ is building the technologies that aim to power the intelligent enterprises of tomorrow.
