Prediction
Category: AI in Supply Chain / Logistics
South Korean AI startup developing battery diagnostic and EV fleet optimization platform using raw-data foundation models Prediction was founded in 2024. The company is led by Duho Kim (김두호). Based in Gwacheon, Gyeonggi-do, South Korea. Team size: 1-10. Total funding raised: $460K. Latest round: Seed. Key investors include Bluepoint Partners (블루포인트파트너스), TIPS (Ministry of SMEs and Startups, Korea).
- Founded
- 2024
- Headquarters
- Gwacheon, Gyeonggi-do, South Korea
- Team size
- 1-10
- Total funding
- $460K
Value proposition
AI-powered battery diagnostics using raw current/voltage data (not processed data) via a single foundation model, enabling seamless diagnosis during charging without additional hardware, covering the full EV lifecycle from operation to resale
Products and solutions
EView (이뷰) — battery AI platform for EV fleet management, Chronos V1 (크로노스 V1) — raw-data foundation model for battery state diagnosis, real driving range prediction, anomaly detection, residual value estimation, Chronos V2 (in development) — enhanced protocol for charging cost/time reduction, targeting SDB (Smart Digital Battery) for autonomous EVs, drones, and robots
Unique value
Only battery AI platform using raw-data foundation model (Chronos V1) trained on unprocessed current/voltage signals, providing integrated analysis across the entire EV value chain — charging, battery, operations, logistics, and remanufacturing — without requiring additional hardware or battery removal
Target customer
B2B commercial EV fleet operators (logistics companies, taxi fleets), battery remanufacturing companies, charging infrastructure operators
Industries served
Logistics, Electric Vehicle Fleet Management, Battery Remanufacturing, Commercial Mobility
Technology advantage
Proprietary raw-data foundation model (Chronos V1) trained on unprocessed battery current/voltage signals; deep learning-based high-precision diagnostics; battery life prediction technology; fleet operation optimization via IoT-enabled vehicle management automation
How they differentiate
Uses raw current/voltage data (not processed/derived data) to train a single foundation model (Chronos V1) for battery diagnostics; no additional hardware needed — works with existing charging infrastructure; full lifecycle coverage from operation to resale; diagnosis in under 5 minutes during charging
Main competitors
Energym (에너캠프), N-Motion (엔모션), Halk (할크), GoodBuyCar (굿바이카)
Key partnerships
IlYang Logistics (일양로지스) — strategic MOU and 10-vehicle EView subscription, Poen (포엔) — battery remanufacturing MOU for logistics market ecosystem
Notable customers
IlYang Logistics (일양로지스) — first commercial subscriber for EView beta (10 EVs)
Major milestones
Founded February 2024, Seed investment from Bluepoint Partners (Jan 2025), Selected for TIPS program (Nov 2025, up to ₩600M R&D funding), EView beta launch with IlYang Logistics 10-vehicle subscription (Jun 2026), Partnership with Poen for battery remanufacturing ecosystem (Oct 2025)
Market positioning
Early-stage Korean startup targeting the commercial EV fleet battery diagnostics market, differentiated by raw-data foundation model approach and no-hardware-needed solution
Geographic focus
South Korea (domestic market initially, with plans to expand to autonomous EVs, drones, and robots)
About Duho Kim (김두호)
Professor at Kyung Hee University, Department of Mechanical Engineering (2018-present); Expert in computational simulations for secondary battery materials (DFT-based battery material design); PhD from Kyung Hee University (Mechanical Engineering alumnus)
Latest news about Prediction
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Official website: https://prediction.im
