Revenue surged by 70.4%, intelligent body business doubled, and HaiZhi Technology (02706) has entered the period of large-scale realization in theAI.

On August 25, Haizhi Technology (02706) released its unaudited interim results for the six months ending June 30, 2026. During the reporting period, the company achieved operating revenue of 296 million yuan, a year-on-year increase of 70.4%. Referencing the revenue of 173 million yuan for the same period in 2025, which accounted for 27.9% of the total annual revenue, the company's full-year performance is expected to continue the high growth trend observed in the first half of the year. The reported gross profit reached 132 million yuan, representing a year-on-year increase of 97.8%, with the overall gross margin improving by 6.2 percentage points to 44.7%. The net loss for the period narrowed by 38.1% year-on-year, while the adjusted net loss shrank by 31.5%, showing simultaneous improvement in revenue scale and operational quality. Among them, the Atlas intelligent agent business achieved a leap in growth, with revenue reaching 115 million yuan during the period, up 135.6% year-on-year, and its revenue proportion increased to 38.8%, officially becoming the core engine driving performance growth. This also marks Haizhi Technology's strategic advancement from a provider of mapping solutions to an industrial-grade AI infrastructure service provider aimed at complex enterprise scenarios. I. Positive Synergy in Quantity and Quality: Atlas Intelligent Agents Solidify the Growth Engine From a business structure perspective, the company's two major product lines maintain a dual-driving momentum, with growth increasingly leaning towards the high-value intelligent agent business. In the first half of the year, revenue from Atlas mapping solutions reached 181 million yuan, a year-on-year increase of 45.0%, stabilizing the foundational business; revenue from the Atlas intelligent agent business reached 115 million yuan, a significant increase of 135.6%, with the growth rate considerably surpassing that of traditional business, breaking through to 38.8% of total revenue. Accompanying the rapid expansion of revenue is a sustained improvement in profit quality. During the reporting period, the gross margin for Atlas intelligent agents reached 52.9%, an increase of 4.8 percentage points year-on-year, driving the companys overall gross margin up to 44.7%, a year-on-year increase of 6.2 percentage points. With continuous accumulation of industry solutions, reusable delivery experience, and steady enhancement of product standardization, Haizhi Technology has entered a virtuous growth pathway of simultaneous scale expansion and efficiency optimization. The value of business synergy has also been clearly validated on the client side. During the reporting period, Atlas intelligent agents served 29 clients, with an average customer unit price of approximately 4 million yuan; the company has served over 430 industrial-grade clients historically. Among clients contributing to intelligent agent revenue, 69% have previously deployed Atlas mapping solutions, confirming that the upgrade path of first building the data and knowledge foundation, then extending to intelligent agent applications has been successfully established. The data assets and industry insights accumulated from the mapping business continue to convert into growth momentum for the intelligent agent business. For the enterprise market, clients extending procurement from infrastructure to intelligent applications often indicates that products have penetrated core business processes. For Haizhi Technology, the mapping solutions have established a customer base, while intelligent agents open up higher-value growth spaces, forming a solid product synergy and commercial flywheel. II. Elevated Technical Foundation: Full-Stack System Reshaping the Paradigm of Industrial AI Implementation As the capabilities of large models iterate rapidly, the core demands of enterprises for AI have undergone a fundamental shift: from can it answer questions to can it understand the business, reliably execute tasks, and ensure stable implementation. The competition focus of industrial-grade AI is also extending from singular model capabilities to integrated system engineering capabilities encompassing data, semantics, processes, tools, and governance. In line with this industry trend, Haizhi Technology has built a complete industrial-grade AI infrastructure centered on multi-model databases + Ontology + Atlas Harness, forming a full-stack technological closed loop from underlying data computation to mid-level business semantic understanding, and up to intelligent execution and governance. At the level of data foundation, the company promotes deep integration of graph, temporal, and vector multi-modal data to achieve joint analysis across data types. This allows enterprise data to be organized, computed, and retrieved around unified business objects, eliminating the matching, stitching, and of multiple data spaces, and providing a consistent and efficient data foundation for long-chain inference and complex business decision-making. At the business semantic level, the company is evolving Ontology from traditional data semantic models to an enterprise operation model covering business objects, states, rules, and actions. By incorporating business elements such as clients, contracts, accounts, devices, and orders, along with their relationships, states, and executable actions into a unified semantic system, Ontology enables AI not only to understand what an enterprise has but also how it operates, becoming the business semantic layer that connects the data world and intelligent agents. At the intelligent execution level, Atlas Harness is upgrading from a single-task Agent orchestration framework to an industrial-grade intelligent agent runtime and standardized operating platform, covering full link capabilities including context building, long task state management, tool and workflow scheduling, link tracking, and effect evaluation, thus promoting the Agent's upgrade from can execute tasks to an observable, diagnosable, and optimizable production-level system. As of the reporting period, the Atlas intelligent agent has become compatible with over 100 large language models. The company has established strategic partnerships with Z.AI, Hygon Information Technology, Bank of Ningbo, among others, further connecting the "computing powermodelscenario" across the entire industrial chain, driving deep coordination between domestic computing power, generic models, and vertical industry applications. III. Breakthroughs in Scene Depth: Benchmark Accumulation Reusable Capability Accelerates Scaled Growth The technical value must ultimately be validated through implementation in industrial scenarios. During the reporting period, Haizhi Technology continued to deepen its efforts in three key industries: government, finance, and energy, while also making multiple breakthroughs in emerging sectors such as intelligent mining, telecommunications, oil and gas, intelligent manufacturing, and pharmaceuticals. In the intelligent mining field, the company signed multi-million yuan project contracts with a large coal group to deploy Atlas intelligent agents to build a comprehensive intelligent decision-making system for production, safety, and operations. In the oil and gas sector, it has won bids for several core business projects, including production extraction and settlement operations from large state-owned enterprises; in the finance sector, it reached strategic cooperation with Bank of Ningbo, simultaneously continuing to implement specialized scenarios in financial leasing and the auditing of investment bank prospectuses; in the electric power sector, it focused on constructing graph data foundations around grid topology and temporal state, supporting core applications such as fault positioning, impact analysis, and equipment maintenance. At the same time, the company has completed the establishment of a local entity in Hong Kong and a dedicated team, consistently broadening its coverage in the financial industry, with steady progress in expanding government scenarios. The cumulative foundation of over 430 industrial customers and benchmarking project practices across multiple industries has accumulated rich samples for the cross-industry replication of technical capabilities. For the industrial AI segment, the value of benchmark projects lies not just in single orders, but in crystallizing client needs, industry knowledge, business processes, and delivery experience into reusable ontology models, skill libraries, and scenario components. Haizhi Technology has clearly defined that it will leverage leading client benchmark cases to transition its revenue growth model from manually driven project delivery to gradually embracing scalable replication of products and services, achieving marginal cost optimization and enhancing revenue quality. Ongoing optimization of the capital structure also provides solid support for the company's long-term R&D investment and business expansion. As of June 30, the companys total assets were approximately 1.627 billion yuan, with equity attributable to shareholders at approximately 1.199 billion yuan, and cash and cash equivalents along with financial assets measured at fair value through profit and loss totaling approximately 972 million yuan. The asset-liability ratio is only 26.3%, with no external borrowings, indicating a sound financial structure. From underlying graph computation to multi-modal data foundations, from business semantic ontology to Harness intelligent execution, and from government, finance, and energy foundational businesses to new scenarios in mining, oil and gas, manufacturing, and pharmaceuticals, Haizhi Technology is continuously connecting the complete chain of technologyproductcustomergrowth. As industrial-grade AI enters a deep implementation stage, the company is expected to leverage its full-stack technological barriers, accumulated industry knowledge, and customer synergy effects to propel industrial intelligent services from isolated breakthroughs to a new stage of scaled growth.