Electra Vehicles has engineered Electra, an advanced AI platform that serves as the cognitive core of modern battery systems. Rather than operating as a peripheral tool, it embeds intelligence directly into battery management systems. By fusing physics-informed models with machine learning, Electra continuously monitors, predicts, and optimizes battery performance across the entire lifecycle. Although the platform was originally designed for electric vehicles, it now extends seamlessly to energy storage, robotics, and critical infrastructure.
Moreover, Electra delivers high-precision, real-time insights into key parameters such as state of charge, state of health, and power. As a result, it enables battery systems that are safer, longer-lasting, and more efficient. At the same time, its adaptive, cloud-connected architecture supports continuous learning, thereby ensuring scalable deployment across a wide spectrum of electrified applications.
In an exclusive interaction with The Interview World at AutoTech Asia 2026, Tarun Khetarpal, Director of Sales and Business Development at Electra, articulates the platform’s defining capabilities. He outlines its specialized offerings for data centers and energy grids, evaluates its expanding opportunities within the B2B segment, and highlights the innovations shaping Electra’s roadmap. Furthermore, he identifies the strategic geographies driving the global export of Electra’s solutions. The following are the key takeaways from this insightful conversation.
Q: What uniquely differentiates Electra’s battery intelligence platform compared to alternatives?
A: Over the past decade, we have engineered highly precise algorithms that estimate critical battery parameters, state of charge, state of health, power, energy, and remaining life. Importantly, these algorithms operate independent of battery chemistry, hardware configuration, or application context.
To achieve this level of accuracy, we combine physics-based modelling with advanced AI and machine learning. As conditions within a battery pack evolve, our system continuously adapts its models. It then applies these refined algorithms to compute state-of-X (SoX) metrics across the battery’s entire lifecycle. Notably, this lifecycle-wide precision addresses a persistent gap in the industry, where such comprehensive capability has remained largely unavailable.
Beyond diagnostics, we deliver AI-driven, prescriptive recommendations that enable operators to enhance performance and extend battery longevity. In practice, customers have increased battery life by up to three years by implementing these insights. At the same time, our platform predicts potential failures several weeks in advance, allowing for proactive intervention. Consequently, customers achieve substantial gains in operational efficiency.
Taken together, these capabilities define the core strengths of the solutions we have developed at Electra.
Q: What are the exclusive offerings tailored for data centers and energy grids?
A: For data centers and energy grid applications, we prioritize a cloud-based solution. Although an embedded approach remains a viable alternative, the cloud model delivers broader and more immediate impact. In fact, it already addresses over 90% of the operational and business challenges these segments typically encounter.
To operationalize this, we require customers to share the battery data they already capture through existing telemetry systems. We then ingest and process this data using our advanced analytics stack. As a result, we generate actionable insights and intelligence that enable operators to extend battery life and significantly enhance operational efficiency.
Q: What B2B market opportunities exist for your solutions?
A: We operate exclusively in the B2B segment; we do not participate in the B2C market. Within India, we have gained the strongest traction in the mobility sector. This momentum stems from the sector’s relative maturity, as it began evolving 15–20 years ago. Consequently, companies now recognize the operational and technical challenges inherent in battery systems.
However, the energy storage industry stands at an earlier inflection point. It can either anticipate these challenges or confront them years later, as the automotive sector did. Therefore, we position our solution to address these issues proactively rather than reactively.
In this context, our platform delivers the greatest value to organizations that adopt a long-term, strategic perspective. It is inherently forward-looking, designed for decision-makers who prioritize durability, efficiency, and future readiness over short-term gains.
Q: What key innovations are you planning to build on the existing platform?
A: Over the next few years, we will focus on a critical innovation priority: reducing the volume of data required from customers while simultaneously improving solution accuracy. To achieve this, we are refining our models to extract deeper insights from smaller, more efficient datasets. As a result, customers will benefit from lower data dependencies without any compromise in performance. This objective remains a central focus for our team at present.
Q: Which global markets are you currently exporting your solutions to?
A: We develop our solutions primarily in the United States, where our core engineering team leads design and innovation. As a result, we bring globally developed, high-caliber technology into the Indian market.
At the same time, we serve a broad international footprint. Beyond India, we actively cater to East Asia, Southeast Asia, the Middle East, Europe, and both North and South America. Consequently, we have established a diversified and widespread client base across nearly all major global regions.
