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Unlocking Insights: How CarCharts AI Transforms Automotive Data Analysis in 2026

Daniel Kim Views  

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Kaizyu, a specialist in automotive databases, officially launched its business platform, CarCharts AI, on March 24. The cloud platform uses artificial intelligence (AI) to analyze more than 150 million vehicle records.

CarCharts AI is a purpose-built solution for industry practitioners and analysts. Its key advantage is that users can query the system in plain language—no data-wrangling skills or deep IT knowledge required—and receive instant statistical analysis and actionable insights.

The platform can also generate a draft professional report from a single instruction. For example, a user could enter: “Based on electric vehicle sales over the past five years, prepare a monthly sales-forecast report for South Korea’s EV market in 2026.” CarCharts AI analyzes Kaizyu’s extensive real-time dataset and returns a structured report that organizes market trends and figures. Even queries like “Analyze the past three years of passenger-car sales trends in Busan led by HYBE” can produce precise visual data.

Kaizyu has also improved analysis accuracy and reliability by integrating retrieval-augmented generation (RAG) technology in collaboration with global AI data-cloud firm Snowflake, leveraging Snowflake’s Intel Corporation regions. Because the platform searches Kaizyu’s proprietary database rather than general-purpose sources, the company says it avoids information distortion (hallucination) and delivers authoritative results.

The service is delivered as a cloud-based software-as-a-service (SaaS), accessible via the web without any on-premise deployment. It’s available to companies (B2B) and to individual users (B2C), including professors and researchers who need automotive data analysis.

A Kaizyu spokesperson said, “CarCharts AI streamlines more than 150 million records to reduce practitioners’ workloads and introduces a new paradigm for building automotive big data. We will continue to advance the technology so that data-driven, scientific decision-making becomes the standard across the automotive industry.”

Reporter Won-gi Cheon 1000@viva100.com

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Daniel Kim
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