Helport AI (NASDAQ: HPAI) launched HyprX for Hardware on June 16, 2026, a QR-code-based AI agent solution that turns shipped products into direct-to-consumer service channels. The product is commercially available immediately and addresses a persistent post-sale problem: manufacturers lose contact with customers once a device leaves the warehouse, forfeiting service and revenue opportunities.
How HyprX for Hardware works
An end user scans a QR code affixed to a product, its packaging, or its manual. The scan launches an AI Q&A agent customized to that specific device. The agent answers feature and performance questions, walks users through setup and operation, and delivers step-by-step troubleshooting and repair instructions. It supports photo uploads and AI image recognition for visual diagnosis. If the AI cannot resolve a case, it escalates to a human agent with a complete conversation summary.
Closing the post-sale data gap
"After a device is sold, many hardware brands have no direct way to know who their customers are, let alone serve them or sell to them again," said Guanghai Li, Chief Executive Officer of Helport AI. "HyprX for Hardware is designed to change that. Each product can function as its own DTC service channel - rather than providing a manual or a phone number, HyprX for Hardware provides an AI agent that helps solve problems, captures data, and supports incremental revenue opportunities."
With user consent, the system automatically identifies the device SKU, model, regional version, and language. It registers the consumer as a first-party contact and populates the brand's database with user, device, and interaction data.
Customer and brand benefits
For consumers, HyprX for Hardware delivers 24/7 multilingual support across more than 50 languages, reducing reliance on manuals or phone queues. Photo-based troubleshooting and device-specific answers make self-service faster and more accurate.
For brands, the solution targets four areas:
- Reduced customer service bottlenecks - AI handles routine inquiries, helping cut repetitive support requests. Industry benchmark data from Zendesk CX Trends 2026 shows AI ticket deflection rates for structured inquiry types (product setup, troubleshooting, warranty registration) commonly range from 65% to 80%.
- Lower return-related losses - On-the-spot troubleshooting for how-to-use and installation issues may reduce false-fault returns.
- Re-engagement and upsell capability - The AI agent contextually introduces accessories, extended warranties, and upgrade offers during service interactions.
- Data asset creation - Brands capture real-time insights into user pain points, frequently asked questions, and failure patterns to guide product iteration and customer support.
This approach fits into a wider shift toward AI Agents & Automation that handle first-line customer interactions, freeing human teams for complex work.
Deployment and pricing
Deployment lead times-from knowledge base ingestion to live AI agent operation-typically run within 48 hours. The company offers outcome-based pricing at no upfront cost to select customers, with billing triggered only upon effective service interactions.
Why this matters for customer support teams
For customer support professionals, HyprX for Hardware signals a shift in how post-sale service gets delivered. Instead of fielding repetitive setup and troubleshooting calls, teams can rely on an AI agent to deflect a large portion of routine tickets-benchmarks point to 65-80% deflection for structured inquiries. That reduction frees human agents to focus on complex cases requiring empathy and deep product knowledge. The solution also feeds real-time data on common issues back to support and product teams, enabling faster iteration. As AI for Customer Support evolves, tools like this could reshape frontline roles, cutting burnout from repetitive queries and creating more strategic responsibilities.
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