In a period when enterprise software valuations are being fundamentally reshaped by the rise of agentic AI, Deepexi Technology Co., Ltd. (1384.HK) has emerged as a notable exception: a pure-play enterprise AI platform delivering both technological leadership and bottom-line profitability. The company's first interim results following its public listing reveal a 115% year-over-year surge in revenue for the first half of 2026, fueled by a 209% leap in core AI revenue and a decisive turnaround to quarterly GAAP profitability in the second quarter. 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% increase year-over-year. The AI business was the primary growth engine, contributing RMB 226.0 million—a 209.2% surge—and representing 79.6% of total revenue. Gross profit reached RMB 160.0 million, up 120.5%, with gross margin expanding to 56.5%. In the second quarter, Deepexi posted a standalone net profit of approximately RMB 30.1 million, crossing the breakeven threshold. Achieving quarterly net profitability while sustaining high R&D investment is rare among Hong Kong's pure-play enterprise AI companies, highlighting Deepexi's operational efficiency and scalable software delivery.
Revenue composition underscores vertical strength: industrial manufacturing accounted for over 50% of total revenue, with retail and consumer goods at 30%, alongside growing presence in healthcare and smart transportation. In manufacturing, Deepexi's ability to translate dense engineering schematics, IoT sensor telemetry, and maintenance logs into structured AI-ready logic creates a formidable barrier that general-purpose AI vendors cannot easily match.
The first quarter of 2026 saw the “SaaSpocalypse,” where approximately $2 trillion in market cap was erased from B2B software equities due to fears that agentic AI would cannibalize per-seat licensing. The iShares Expanded Tech-Software ETF (IGV) plunged nearly 21% year-to-date, and software multiples (EV/Sales) fell from 5.6x to 4.2x by mid-March. Investors have pivoted to AI-native infrastructure, with AI-native agentic platforms commanding 14x to 22x revenue, while legacy RPA trades at just 2.5x to 5x. Deepexi sits on the winning side of this divergence: its token-based, consumption-driven model aligns with the agentic future, selling AI productivity rather than seats, making it structurally insulated from seat-compression forces.
Deepexi's core competitive edge lies in its “Data + AI” dual-engine architecture, anchored by the FastData platform, FastAGI suite, and the Deepexi Enterprise Large Model Platform, supported by its proprietary Deepology ontology with over 2,000 vertical industry skills. The FastData platform tokenizes structured and unstructured data for model training, while FastAGI and DeepWorks provide a modular AI operating system. The platform is model-agnostic, connecting to open-source models like DeepSeek and Zhipu AI, giving clients flexibility and eliminating vendor lock-in. Through native Model Context Protocol (MCP) and specialized agents, Deepexi embeds intelligence into core operations, integrated with collaboration tools like DingTalk, Feishu, and Tencent Meeting, turning AI into daily productivity tools.
On August 12, Deepexi announced a strategic partnership with Huawei Cloud to jointly launch enterprise data intelligence solutions. The collaboration combines Huawei's Ascend AI computing clusters and distributed cloud infrastructure with Deepexi's data governance and vertical AI deployment expertise. This integration secures stable, cost-effective computing power, reducing token processing costs and enabling usage-based, token-metered billing models. Falling AI costs are expected to accelerate enterprise adoption, positioning Deepexi to capture demand with improving margins as token volumes scale.
On August 17, Deepexi successfully placed 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 strong institutional confidence, with backing from investors including Hillhouse, 5Y Capital, BAI, and Shanghai AI. The funds will support R&D in next-generation enterprise agent systems and token productivity platforms, targeting the $206.5 billion AI agent software market in 2026, projected to grow to $376.3 billion by 2027.
Deepexi stands apart with its AI-native architecture, rare profitability at a 56.5% gross margin, and projected revenue CAGR of 95.5% through 2027. Its model-agnostic approach and proprietary data moat, combined with strategic compute partnership and institutional validation, position it as a leader in the enterprise AI market. As the market shifts from conceptual exploration to commercial execution, Deepexi demonstrates that enterprise AI can deliver both transformative technology and sustainable profits.
