Prediction Launches Beta Service for EV Operations AI Platform ‘EView’ – MK

Prediction, a startup developing an AI platform to optimize battery mobility operations, has officially launched the beta service of its EV operations AI platform, EView. The company said on the 5th that it had signed subscription contracts for a total of 10 vehicles, including those operated by mid-sized logistics firm Ilyang Logis.

The deal marks the commercial validation of battery condition diagnosis and prediction technology in a real logistics setting. Commercial EVs may travel hundreds of kilometers a day and are repeatedly exposed to irregular, high-current conditions. As a result, battery performance deteriorates quickly, creating major risks for logistics companies, including vehicle downtime, lower asset value, and higher charging costs and time.

EView is equipped with the foundation model Chronos V1, developed using raw current and voltage data. Its key feature is that it learns directly from the raw data that defines a battery, rather than processed or derivative data, improving diagnostic accuracy. Across the full lifecycle from EV operation to resale, it provides real-time services for battery condition diagnosis, estimated driving range, anomaly detection, and projected resale value. It also turns EVs into IoT devices and automates vehicle management workflows, improving operational efficiency for fleet operators.

Prediction is developing Chronos V2, which combines accumulated field data to further refine protocols that reduce charging costs and operating time. The company plans to complete an initial SDB model by early next year and expand its application across next-generation mobility, including fully autonomous EVs, drones, and robots. Earlier, Prediction secured seed funding from deep-tech accelerator Bluepoint Partners and was also selected for the Ministry of SMEs and Startups’ Tech Incubator Program for Startups (TIPS).

Kim Doo-ho, CEO of Prediction, said, “This contract goes beyond technical validation and shows that our technology has been recognized for its value in real-world operations.” He added, “We will continue to advance the model with the goal of integrating SDB into fully autonomous mobility.”

This article has been translated by GripLabs Mingo AI.