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HPAI H1 FY2026: Revenue +7.7% to $17.7M; swings to $1.7M loss as R&D ramps; launches HyprX/TwinX
Helport AI reported H1 FY2026 revenue of $17.7M, up 7.7% YoY, with average monthly subscribed AI Assist users rising 16.8% to 37,908 and gross profit stable at $9.1M; operating cash flow was positive ~$5.0M. The company swung to a net loss of $1.7M (vs $1.1M net income prior period) driven by a $4.3M increase in R&D and higher credit losses, while launching HyprX and TwinX, securing commercial deals (Dreame, Start Nine) and a partnership with QuickCEP that management says should support larger commercial revenue in FY2027.
HPAI H1 FY2026: Revenue +7.7% to $17.7M; launches HyprX/TwinX but posts $1.7M loss
Helport AI (HPAI) reported H1 FY2026 revenue of $17.7M, up 7.7% y/y, and average monthly subscribed users rose 16.8% to 37,908 while gross profit held at ~$9.1M; the company swung to a $1.7M net loss (vs $1.1M net income prior year) driven by higher R&D spending and increased credit losses. Management launched HyprX and TwinX, expanded multilingual delivery hubs, and secured commercial agreements (Start Nine, Dreame) plus a QuickCEP partnership to accelerate enterprise deployments, but cash on hand was only $688k despite positive operating cash flow of ~$5.0M and a decline in working capital.
Helport AI launches HyprX QR-based AI to turn shipped devices into DTC support and data channels
Helport AI (HPAI) commercially launched HyprX for Hardware, a QR-code–triggered AI Q&A agent that provides device-specific setup, photo-enabled troubleshooting with AI image recognition, and AI→human escalation. The company says HyprX registers consenting users as first-party contacts to capture SKU/model/device data, supports contextual upsell and ticket deflection, is deployable typically within 48 hours, and is available immediately with outcome-based pricing for select customers.
HPAI: Helport AI reports commercial AI Labor deals in SE Asia/LatAm; claims 60% higher collections vs humans
Helport AI (NASDAQ: HPAI) says it has secured operational partnerships with multiple consumer-finance platforms across Southeast Asia and Spanish-speaking Latin America to deploy its AI Labor for fintech lead conversion and autonomous debt collections. The company reports internal, controlled-deployment data showing AI collections recovered ~60% more money than comparable human teams and is using volume pricing for conversion (~$300/60k records) and a 35–45% revenue-share for collections; results are early, confidential and based on company data.