Invincible Ocean’s MotoIntel.AI Powers Khalsa EV With Real-Time Market Intelligence

In India’s fast-evolving electric vehicle (EV) market, where competition is intensifying and policy shifts are reshaping demand, data is becoming the critical driver of strategy. Invincible Ocean has partnered with KhalsaE-Vehicles Pvt. Ltd. to develop an AI-driven analytics platform under its vertical MotoIntel.AI.

The system is designed to give Khalsa EV an edge by tracking competitors, analysing sales patterns down to the RTO level, and predicting future trends with greater accuracy. For the company, the platform represents more than just a dashboard — it is a long-term strategic asset aimed at keeping them agile in a crowded EV landscape.

“Growing competition validates the vision we have pursued from the start. To stay ahead, we rely on data-driven insights, and MotoIntel.AI has been a fabulous and highly valuable tool in this journey,” said Amit Gulati, VP Sales, Khalsa EV.

Highlighting the importance of structured datasets, Ajay Setia, CEO of Invincible Ocean, said, “More organised data means more accuracy. Over time, every industry will need AI at the core of its operations.” He noted that Khalsa EV is building a strong data backbone early, creating a foundation for predictive modelling and long-term growth.

Ashok Taravath, Business Head, MotoIntel.AI, stressed the need for visibility in real time: “In today’s fast-moving auto market, RTO-level sales data is indispensable. At MotoIntel, we have made this our core expertise, enabling OEMs and EV players to see the market with unmatched clarity.”

The partnership comes at a time when India’s EV sales are surging. Nearly 2 million EVs were sold in FY 2024–25, a 17% year-on-year rise. With national targets pushing for 30% EV adoption in private cars and up to 80% in two- and three-wheelers by 2030, automakers are investing heavily — from Maruti Suzuki’s $8 billion EV plans in Gujarat to Tata’s battery gigafactories and global entrants like VinFast setting up shop.

Competition in the e-scooter market has already seen TVS overtake Ola Electric, while Ather Energy is strengthening its share, underscoring the need for sharper insights. Analysts note that the lack of uniform data in the sector makes forecasting difficult, but early adoption of AI-backed analytics could bridge this gap.

As Setia summed it up: “AI is no longer optional. It is the lens through which industries will interpret and act on information in the future.”