SAN DIEGO and SINGAPORE, April 09, 2026 (GLOBE NEWSWIRE) -- Helport AI Limited (NASDAQ: HPAI) (“Helport AI” or the “Company”), a global technology company providing enterprise clients with intelligent customer communication software and services powered by artificial intelligence (“AI”), today announced a strategic partnership with QuickCEP, a leading AI customer interaction agent platform built for cross-border and global brands.
The two companies intend to jointly develop a “One-Stop, Fully Managed AI Agent Solution” for global brands and e-commerce enterprises. The resulting solution is expected to combine Helport AI’s proprietary “AI Labor System” – an industrial-scale engine that manufactures and delivers AI workforce capacity – with QuickCEP’s omni-channel AI customer service software as a service (“SAAS”) platform, with the aim of offering end-to-end services from AI Agent deployment and knowledge training to outcome-based commercial models.
Strategic Partnership Highlights
The partnership is expected to integrate QuickCEP’s AI customer service SaaS platform capabilities with Helport’s AI+Business Process Outsourcing (“BPO”) service operations to deliver fully managed services for global brands and cross-border e-commerce clients. Both companies expect to jointly expand global markets and develop industry ecosystems, standards, and supply chain resources.
Cooperation has commenced, with the companies already offering the new solution. Initial customers have been onboarded and early-stage revenue is projected in the second calendar quarter of 2026. Based on the existing pipeline, Helport AI expects to onboard approximately 50 enterprise clients through this partnership over the next six months. Customer demand continues to exceed current capacity, and the Company is actively expanding deployment teams globally to meet market demand.
Helport AI’s “AI Labor System”
Helport AI is building an AI labor platform for enterprise communication, sales, and service workflows. Similar to how cloud infrastructure transformed computing from a capital-intensive, on-premises model to an on-demand utility, the Company is building the infrastructure layer in its efforts to transform enterprise communication labor from a human-intensive, seat-based cost into a scalable, outcome-based AI workforce.
With the AI Labor System, clients pay only for measurable outcomes – per qualified lead, per appointment, per conversion, or revenue share. This is expected to align incentives, lower adoption risk, and create a non-linear growth model where revenue can scale with outcome volume and knowledge reuse, not headcount or seat count.
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