As electric mobility gains momentum across India, the focus is gradually shifting from merely deploying EVs to ensuring their long-term performance, reliability, and economic viability. In this evolving landscape, startups like Ursaa Energyworx are working to unlock deeper insights from battery data to help fleets, OEMs, and energy businesses make smarter decisions. Founded in July 2022, the company is building a data-driven intelligence layer for EV batteries aimed at improving lifecycle performance and reducing operational risk. In this interview with Machine Edge Global, Kapil Sharma shares the vision behind Ursaa, the operational challenges in India’s EV ecosystem, and how predictive analytics and AI can make electrification more scalable, reliable, and economically sustainable.
Ursaa Energyworx was founded in July 2022. What gap in the EV and battery ecosystem were you aiming to address at the time
When we started Ursaa, the EV industry was focused on building vehicles and batteries. But very few were focused on understanding how those batteries perform in real-world conditions, In markets like India, batteries face extreme temperatures, inconsistent charging patterns, and heavy commercial usage. Yet most operators had little visibility into degradation, performance risk, or lifecycle cost.
We founded Ursaa to solve one core problem: How do you make EV batteries last longer, perform better, and cost less over time.
Our focus from day one has been turning raw battery data into operational and financial intelligence.
How would you define Ursaa’s core identity—as a battery company, a data intelligence company, or an electrification enabler?
Ursaa is a battery intelligence and electrification enablement platform.
We are not a battery manufacturer. We are not just a telematics provider. We sit at the intelligence layer by helping OEMs, fleet operators, and energy businesses maximize performance and minimize risk.
Our core mission is simple: Make electrification scalable, reliable, and economically sustainable.
Ursaa focuses on building data-driven intelligence layers for EVs and batteries. How does your platform differ from conventional hardware-led battery management systems?
Ans: Traditional battery management systems (BMS) are designed to keep a battery safe. They monitor voltage and temperature and prevent damage.
Ursaa goes beyond protection, we focus on optimization. Our platform analyses large-scale fleet and battery data to:
• Predict degradation trends
• Identify early signs of failure
• Optimize charging behaviour
• Improve lifecycle economics
Instead of reacting to problems, our customers can prevent them.
Predictive maintenance is often discussed as the future of mobility—how is Ursaa making it practical and commercially viable?
Predictive maintenance only matters if it delivers measurable outcomes.
At Ursaa, we focus on tangible impact:
• Reducing unplanned downtime
• Extending battery life
• Lowering maintenance costs
• Improving asset utilization
For fleet operators, that means more uptime. For OEMs, that means reduced warranty exposure. For investors, that means better asset predictability. We tie intelligence directly to financial outcomes and not just dashboards.
Ursaa operates on a B2B and B2B2C model. How does this strengthen your position?
Our hybrid model allows us to work closely with OEMs while also engaging fleet operators and end users.
This gives us:
• Deep integration at the manufacturing level
• Real-time operational data from fleets
• Behavioural insights from end users
That layered intelligence improves model accuracy and strengthens long-term partnerships.
It also ensures that the value we create is shared across the entire ecosystem and not just one stakeholder.
What operational inefficiencies still exist in India’s EV ecosystem?
India’s EV market is growing rapidly, but rapid growth often exposes inefficiencies.
Some of the biggest challenges include:
• Poor visibility into battery health
• Suboptimal charging practices
• Fragmented data systems
• Reactive maintenance approaches
Without intelligent monitoring and lifecycle management, scaling fleets can quickly become expensive. The next phase of India’s EV growth will depend on smarter asset management and not just more vehicles on the road.
How will AI and machine learning enhance Ursaa’s platform?
AI allows us to move from monitoring to intelligent decision-making.
We are enhancing:
• Remaining Useful Life (RUL) predictions
• Real-time anomaly detection
• Risk scoring models
• Prescriptive charging recommendations
Over time, this will enable semi-autonomous optimization, where systems don’t just detect issues but recommend or execute corrective actions.
Do you see Ursaa evolving beyond EVs?
Absolutely, Our expertise lies in energy asset intelligence. EV batteries are the starting point , but the broader opportunity includes stationary storage, distributed energy systems, and smart grids.
As the world electrifies, energy assets will need continuous monitoring, optimization, and lifecycle intelligence. We see Ursaa evolving into a global energy intelligence platform, helping organizations unlock maximum performance from electrified systems across mobility and beyond.