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 show a 115% year-over-year revenue surge for the first half of the year, driven by a 209% leap in core AI revenue and a decisive turnaround to quarterly GAAP profitability in the second quarter of 2026.
For the first half of 2026, Deepexi generated RMB 284.0 million in total revenue, with its AI business contributing RMB 226.0 million—a 209.2% year-over-year surge—bringing AI revenue to 79.6% of total corporate turnover. Gross profit reached RMB 160.0 million, up 120.5%, with a gross margin of 56.5%. In the second quarter, the company posted a standalone net profit of approximately RMB 30.1 million, officially crossing the breakeven threshold. This milestone is rare in Hong Kong's tech sector, where pure-play enterprise AI companies achieving quarterly profitability while sustaining high R&D investment remain scarce.
Deepexi's revenue composition reflects deep vertical expertise: industrial manufacturing accounted for over 50% of total revenue, with retail and consumer goods at 30%, alongside expanding footholds in healthcare and smart transportation. In manufacturing, for instance, the company translates complex engineering schematics, IoT sensor telemetry, and historical maintenance logs into structured logic for AI models, creating a competitive barrier that general-purpose AI vendors cannot easily replicate.
The company's performance comes amid what market observers have dubbed the "SaaSpocalypse," a first-quarter 2026 event that erased approximately $2 trillion in B2B software equity market capitalization. The iShares Expanded Tech-Software ETF (IGV) plunged nearly 21% year-to-date, and enterprise software multiples (EV/Sales) fell from a 5.6x average to 4.2x by mid-March. As a recent Windsor Drake analysis notes, "AI-native agentic platforms clear 14x to 22x revenue, with private rounds at 20x to 30x," while legacy standalone RPA trades at just 2.5x to 5x. Investors are rewarding AI-native architecture and measurable workflow ownership.
Deepexi sits on the winning side of this divergence. Unlike traditional SaaS vendors whose revenues are tied to human seat counts, 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. This model is structurally insulated from the seat-compression forces that have punished legacy software vendors.
The company's 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. The FastData platform, powered by the FastData Foil fusion engine, tokenizes structured and unstructured enterprise data for large model training. The FastAGI platform and DeepWorks provide a modular AI operating system with a pluggable architecture that connects to open-source models like DeepSeek and Zhipu AI, eliminating vendor lock-in. Through native Model Context Protocol (MCP) frameworks and specialized agents, Deepexi embeds intelligence directly into core business operations, integrating with DingTalk, Feishu, and Tencent Meeting for automated reporting and cross-departmental coordination.
On August 12, Deepexi announced a strategic alliance with Huawei Cloud to jointly launch enterprise data intelligence solutions. The partnership combines Huawei Cloud's Ascend AI computing clusters and distributed cloud infrastructure with Deepexi's expertise in data governance, tokenization, and vertical AI agents. This integration secures stable, cost-effective computing power, reducing token processing costs and enabling usage-based, token-metered commercial billing models—aligning 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. The placement, completed amid market volatility, demonstrates institutional recognition of Deepexi's business model and profitability trajectory. The company is supported by prominent investors including Hillhouse, 5Y Capital, BAI, and Shanghai AI. The newly raised funds are earmarked for 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.
Deepexi's investment thesis is clear: its AI-native architecture aligns with the agentic future; its quarterly GAAP profitability at a 56.5% gross margin and projected revenue CAGR of 95.5% through 2027 place it among the most financially disciplined enterprise AI companies; its model-agnostic platform captures value regardless of which foundation model wins; its proprietary data moat with over 2,000 vertical skills creates barriers; its Huawei Cloud partnership enables margin expansion; and its institutional backing signals strong confidence. As the enterprise AI market shifts from conceptual exploration to commercial execution, Deepexi has proven that enterprise AI can deliver both transformative technology and sustainable profits.
