Battery Ok Technologies today announced a major acceleration of its international expansion for EV DOCTOR™, the world's fastest AI-driven battery diagnostic technology. Building on an already established presence in 30+ countries and active use across more than 3,000 EV workshops, the company is scaling channel partnerships and distribution to bring
laboratory-grade battery intelligence to 100+ countries.
EV DOCTOR™ delivers a comprehensive, certified digital report on battery health (State of Health / SoH), safety, performance, and faults in just 15 minutes, up to 20X faster than traditional methods. The compact, non-invasive device connects between the battery and charger, transmits real-time voltage, current, and timing data via Bluetooth, and leverages 25+ machine-learning algorithms trained on millions of data points (including 5 million+ data points and testing of over 10 million batteries).
Results appear instantly in a mobile app as a shareable, time-stamped "CIBIL-style" report suitable for service centers, insurers, financiers, resellers, fleets, and OEMs.
Key proven capabilities include:
- Support for 120+ EV brands and multiple chemistries (LFP, NMC, lead-acid)
- Compatibility with both CAN and non-CAN batteries
- Detection of 10+ critical fault types (including BMS issues, water damage, deep discharge, cell imbalance, and fire risks)
- Claimed accuracy exceeding 96.7%
- CE & RoHS compliance, with calibration against international benchmarks
"We built EV DOCTOR in India to solve a very real battery problem — the black box of battery health that creates safety risks, warranty disputes, resale friction, and lost trust," said Shubham Mishra, Founder & CEO of Battery Ok Technologies. "Now we're taking this indigenous technology to the world. Indian innovation. Global ambition. Our goal is straightforward: make world-class battery intelligence useful everywhere."
Recent momentum underscores the scale-up:
- An official order for 2,000+ units from a major listed automotive vendor serving multiple global EV OEMs
- Active channel-partner outreach across high-growth electric two-wheeler markets including Indonesia, Vietnam, Thailand, the Philippines, and Nepal (in addition to deepening presence in India)
- Existing footprint spanning India, the United States, Mexico, Vietnam, South Korea, Mauritius, China, and other markets across Asia, Africa, the Middle East, and Europe
- Manufacturing capacity exceeding 1,000 units per month to support rapid deployment
EV DOCTOR™ is already trusted by leading players such as Acko, MG Motor, Zypp Electric, Yulu, JioBP, Jitendra EV, REMSA and international partners for quality control, service, repair, second-life assessment, fleet management, insurance claims, and resale decisions. Workshops report dramatic gains in daily testing throughput and new revenue streams from battery health checkups, while the technology has helped flag potential safety issues before they escalate.
The Intelligence Behind the Device: Battery OS Tech by Energy AI Labs
While Battery Ok Technologies builds, manufactures, and distributes EV DOCTOR™, the machine learning that powers it is developed by Energy AI Labs, a separate deep-tech research company building Battery OS tech a chemistry-agnostic battery intelligence platform delivered as APIs, dashboards, and full platform deployments.
Battery OS is what makes global expansion compounding rather than merely additive. Every diagnostic run performed anywhere in the world feeds an anonymized, labeled corpus spanning multiple chemistries and operating environments, improving model accuracy for every subsequent user. Where EV DOCTOR™ serves workshops and fleets on the ground, Battery OS lets manufacturers, insurers, lenders, drone operators, and stationary storage companies embed battery intelligence directly into production lines, underwriting models, and asset management systems — with no hardware deployment required.
"The physics of degradation doesn't change at a border, but operating conditions do," said Ajay Vashisht, Co-founder & CTO of Energy AI Labs. "A pack cycling through an Indian summer ages differently from one in a Nordic winter. Global reach isn't just distribution for us — it's how the models learn the full range of real-world conditions. That's the difference between a diagnostic tool and an intelligence layer."
The Longer Arc: Toward Energy Superintelligence
Energy AI Labs' founding thesis is that civilization has built superintelligence for two of its three foundational layers, compute and knowledge, while the third, energy, remains almost entirely unintelligent. Grids, storage systems, charging networks, and industrial energy assets still operate on fixed rules, human schedules, and reactive maintenance. They generate enormous volumes of data and act on almost none of it.
Batteries are the wedge into that problem: the fastest-growing, most instrumented, and most data-rich energy asset class on earth. From Battery OS, the company's roadmap extends to Energy OS an autonomous energy management architecture that combines intelligence with control and autonomy, allowing energy systems to sense, predict, decide, and act without waiting for human intervention. The intended endpoint is energy superintelligence: an intelligence layer that manages generation, storage, and consumption across grids, utilities, industrial facilities, and data centers.
"Battery health is the single most important number in an electric vehicle's life," Shubham Mishra added. "When that number takes hours or days to obtain, it stays locked in the lab. When it takes 15 minutes and comes with forensic-grade clarity, it becomes the operating layer
for the entire ecosystem safer EVs, fairer financing and insurance, stronger resale markets, and faster global adoption of electric mobility. Batteries are where we start. Energy is where this goes."
