In a period when enterprise software valuations are being repriced by the rise of agentic AI, Deepexi Technology Co., Ltd. (1384.HK) has emerged as a counterexample: a pure-play enterprise AI platform delivering both technology leadership and bottom-line profitability. The company's first interim results since its public listing reveal a 115% year-over-year surge in revenue for the first half of the year, powered by a 209% leap in core AI revenue and a decisive turnaround to quarterly GAAP profitability in the second quarter of 2026. This performance has earned the company "Buy" and "Overweight" ratings from multiple brokerages within its first year of listing.
For the first half of 2026, Deepexi generated RMB 284.0 million in total revenue, a 115.0% year-over-year increase. Its AI business was the primary growth engine, contributing RMB 226.0 million—a 209.2% year-over-year surge—bringing AI revenue to 79.6% of total corporate turnover. First-half gross profit reached RMB 160.0 million, up 120.5% year-over-year, with gross profit margin expanding to 56.5%. Notably, during the second quarter of 2026, Deepexi posted a standalone quarterly net profit of approximately RMB 30.1 million, officially crossing the breakeven threshold. In Hong Kong's technology sector, pure-play enterprise AI companies achieving quarterly net profitability while sustaining high R&D investment remain exceptionally rare.
The company's revenue composition and vertical reach further underscore its scarcity value. Industrial manufacturing accounted for more than 50% of total revenue, while retail and consumer goods contributed 30%, alongside expanding footholds in healthcare and smart transportation. In manufacturing, for example, equipment troubleshooting and predictive maintenance involve dense engineering schematics, real-time IoT sensor telemetry, and extensive historical maintenance logs—all of which Deepexi translates into structured logic that AI models can readily interpret. This deep vertical expertise and proprietary data accumulation create a formidable competitive barrier that general-purpose AI vendors cannot easily match.
The first quarter of 2026 witnessed what market observers have dubbed the "SaaSpocalypse"—a tectonic shift in which approximately $2 trillion in market capitalization was erased from B2B software equities, driven by a fundamental fear that agentic AI would cannibalize the traditional per-seat licensing model. The iShares Expanded Tech-Software ETF (IGV) plunged nearly 21% year-to-date, and enterprise software multiples (EV/Sales) cratered from a 5.6x average at the end of 2025 to 4.2x by mid-March. Investors have pivoted decisively toward AI-native infrastructure—companies that manage the data and underlying plumbing of autonomous systems—while penalizing traditional application-layer SaaS vendors reliant on human-centric interfaces.
Deepexi sits squarely on the winning side of this divergence. Unlike traditional SaaS vendors whose revenues are tied to human seat counts—and thus vulnerable to agentic displacement—Deepexi's token-based, consumption-driven model aligns directly with the agentic AI future. The company's DeepWorks enterprise Agent platform does not sell per-seat licenses; it sells AI productivity, enabling enterprises to deploy autonomous agents that replace repetitive administrative work. As the market shifts from "AI as a feature" to "AI as a replacement," Deepexi's business model is structurally insulated from the seat-compression forces that have punished legacy software vendors.
To ensure AI truly meets real-world enterprise demands, generic foundational models are insufficient on their own. Deepexi's core competitive edge lies in its specialized "Data + AI" dual-engine architecture, anchored by the FastData enterprise data intelligence platform, the FastAGI agentic AI suite, and the Deepexi Enterprise Large Model Platform, supported by its proprietary Deepology ontology dataset containing over 2,000 vertical industry skills. At the foundational layer, the FastData platform—powered by the FastData Foil fusion engine—acts as an intelligent lakehouse that tokenizes structured, semi-structured, and complex unstructured enterprise data into standardized formats ready for large model training and inference. Building upon this data foundation, the FastAGI platform and DeepWorks Enterprise Agent Platform provide organizations with a flexible, modular AI operating system.
Featuring a pluggable architecture, the platform connects seamlessly to leading open-source foundation models such as DeepSeek and Zhipu AI, giving enterprise clients complete autonomy while eliminating vendor lock-in. This "model-agnostic" approach is a key differentiator in an environment where enterprises increasingly demand flexibility to choose the best model for each use case. Through native Model Context Protocol (MCP) frameworks and specialized agents—ranging from operational decision-making agents to productivity and autonomous workflow execution agents—Deepexi embeds intelligence directly into core business operations. DeepWorks is fully integrated with mainstream workplace collaboration suites such as DingTalk, Feishu, and Tencent Meeting, allowing employees to summon AI copilots directly for automated weekly reporting, data synthesis, and cross-departmental coordination—effectively turning AI into an indispensable daily productivity tool.
In the commercialization of enterprise AI, computing costs and access to high-quality domain data represent two of the industry's most critical bottlenecks. On August 12, Deepexi announced a strategic alliance with Huawei Cloud to jointly launch enterprise data intelligence solutions, providing strong operational backing for the company's long-term expansion. The partnership combines the complementary strengths of both technology leaders. Huawei Cloud provides underlying Ascend AI computing clusters and distributed cloud infrastructure, while Deepexi brings its deep expertise in enterprise data governance, data tokenization, and vertical AI agent deployments. By integrating with Huawei's domestic Ascend compute clusters, Deepexi not only secures stable, long-term computing power but also significantly drives down token processing costs. This cost efficiency establishes ideal conditions for exploring usage-based, token-metered commercial billing models—precisely the kind of consumption-based pricing that aligns with the agentic AI future.
Reflecting strong capital market confidence, Deepexi announced on August 17 the successful placement of 14,286,000 new H-shares at HK$35.00 per share, raising net proceeds of approximately HK$488.0 million. Successfully closing a sizeable placement amid broader market volatility demonstrates strong institutional recognition of Deepexi's proven business model, robust unit economics, and profitability trajectory. The company's strategic shareholder structure is supported by prominent independent investors, including Hillhouse, 5Y Capital, and BAI, as well as industry-focused investors such as Shanghai AI. The newly raised funds are earmarked primarily for continuous R&D in next-generation enterprise agent systems and token productivity platforms—positioning the company to capture the $206.5 billion AI agent software market projected for 2026, which Gartner expects to grow to $376.3 billion in 2027.
The enterprise AI market has decisively shifted from early conceptual exploration into a new era of commercial execution and tangible financial delivery. Backed by mature product suites across FastData and FastAGI, proprietary vertical ontologies, strategic cloud partnerships, and an official transition to net profitability, Deepexi Technology has proven that enterprise AI can deliver both transformative technology and sustainable profits.
