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Navinfo Co Ltd

SeeWay.ai Co., Ltd., together with its subsidiaries, provides full-stack automotive intelligence solutions in China. Its offerings include software-hardware integrated solutions for multiple levels and complex driving scenarios, intelligent cockpit software and hardware products, and user system and entertainment value-added services. The company also provides intelligent cockpit solutions for commercial vehicles, intelligent charging, smart mobility, and operation marketing services, as well as navigation for shared autonomy, data compliance, dynamic traffic, and high-precision positioning. It was formerly known as NavInfo Co., Ltd. and changed its name to SeeWay.ai Co., Ltd. in December 2025. Founded in 2002, it is headquartered in Beijing, China.

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NavInfo's data compliance business revenue grew over 50% year-on-year in the first half

NavInfo achieved operating revenue of 1.767 billion yuan in the first half of 2026, a contrarian increase of 0.36 percent, with data compliance service revenue of 618 million yuan, up more than 50 percent year-on-year. The company's smart cloud business revenue was 1.285 billion yuan, up 1.59 percent year-on-year, and smart cloud and smart cockpit businesses together accounted for more than 70 percent, enabling the company to maintain stable revenue despite declining passenger car sales. The data compliance business relies on scarce surveying and mapping qualifications, an end-to-end cloud compliance technology system, advantages from participating in industry standards, and global delivery capabilities to form differentiated competitiveness, and benefits from demand amplification brought by the implementation of policies such as the 2026 Guidelines on the Security of Cross-Border Automotive Data. The company also became the lead unit of the Ministry of Industry and Information Technology's data standards working group, led or participated in the formulation of more than 70 standards at various levels, and successfully won designated overseas navigation projects from domestic automakers.
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NavInfo's first-half loss widens to 489 million yuan

NavInfo released its 2026 interim report, with operating revenue of 1.767 billion yuan, up 0.36 percent year on year, but net profit attributable to the parent swung to a loss of 489 million yuan from a loss of 311 million yuan in the same period last year. Second-quarter operating revenue was 910 million yuan, down 9.4 percent year on year, while the net loss attributable to the parent widened to 344 million yuan from 158 million yuan. The company said weak demand in China's domestic passenger car market and rising upstream raw material costs led to lower selling prices for intelligent driving, automotive-grade chips, and high-precision map services, squeezing profit margins. Management will promote cost reduction and efficiency improvement, reasonably control research and development investment, and accelerate overseas market expansion to improve performance.
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NavInfo expects net loss attributable to parent of 352 million to 502 million yuan in first half of 2026

NavInfo disclosed a performance forecast, expecting a net loss attributable to the parent of 352 million to 502 million yuan in the first half of 2026, compared with a loss of 311 million yuan in the same period last year, with the loss widening year-on-year. The company expects revenue for the period to be 1.7 billion to 1.86 billion yuan, a year-on-year change of negative 3.44 percent to positive 5.65 percent. The widening loss was mainly affected by a sharp decline in domestic passenger car sales and strict control of procurement budgets by automakers, leading to a continuous decline in unit prices for intelligent driving, automotive-grade chips, and high-precision map services. Meanwhile, revenue from high-margin high-precision map services fell significantly, and rising cloud resource procurement costs further compressed gross margins. In addition, internal factors such as the company's own strategic transformation cycle and rigid R&D investment also led to a year-on-year widening of operating losses.
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