AINNOVATION TECHNOLOGY GROUP CO., LTD. (AInnovation) reported FY2025 revenue of RMB1.51 billion, up 23.8% year-on-year, driven by a rebound in manufacturing demand. Revenue from manufacturing rose 24.8% to RMB1.22 billion, representing 80.9% of the topline.

Gross profit increased 25.1% to RMB529.09 million, lifting the gross margin to 35.0% from 34.6% a year earlier. Operating loss narrowed sharply to RMB255.28 million from RMB630.59 million, while the full-year net loss contracted to RMB248.78 million. After adjusting for share-based payments, intangible-asset amortisation, impairment and fair-value changes, adjusted net loss dropped 44.0% to RMB65.73 million.

Cost controls supported the turnaround: • Selling and distribution expenses fell 22.9% to RMB147.53 million. • General and administrative expenses declined 19.9% to RMB211.79 million. • Research and development investment rose 11.6% to RMB396.29 million, underscoring continued product development around industrial large language models, intelligent agents and robotics.

Cash and cash equivalents stood at RMB830.88 million at year-end (-31.1% YoY), with total assets of RMB2.26 billion and total liabilities of RMB881.37 million. The company remained in a net cash position; no dividend was proposed.

Customer metrics improved: the number of premium customers edged up to 69, contributing RMB1.10 billion in revenue and lifting the premium-customer dollar-based repeat rate to 50.9% (2024: 17.0%). Overall customer count reached 633 (2024: 521).

Corporate developments • Non-executive director Wang Hua resigned; Tao Ning has been nominated to fill the vacancy, pending shareholder approval. • Chief Technology Officer Zhang Fa’en stepped down and was redesignated as Chief Scientist; Li Fan, previously Chief Product Officer, was appointed CTO effective 25 March 2026. • The company repurchased 8.45 million H-shares in 2025 for HKD48.21 million, which are held as treasury shares.

Looking ahead, management reaffirmed the “one model, one agent, two wings” strategy, prioritising AI-driven industrial software and robotics to deepen penetration in manufacturing and accelerate commercialisation in 2026.