Bairong VoiceOne launches on the VoxOne foundation: Bairong Inc. (06608) pushes Voice AI into the "results delivery" era.

On October 27, Bairong Inc. (06608) held the "Bairong VoiceOne" brand and product launch event in Shanghai, officially unveiling the unified voice intelligence foundation VoxOne, along with three major product lines: Baifu Silicon-based Customer Service, Baiying Intelligent Marketing, and Baiyu Open Platform. For the first time, the company fully disclosed the implementation results, technology architecture, and RaaS business model of its AICC business. The core judgment of the entire launch event was extremely clear: as large model capabilities gradually become commoditized, competition in Voice AI has long moved beyond the initial stage of "whether it can be done." The real dividing line is who can deliver verifiable, billable business results for enterprises. New scenario revenue up 195% year-on-year: the second curve delivers hard growth The business data already achieved provided advance persuasiveness for the products launched on Tuesday (October 27). The 2026 interim results show that the company's AICC business achieved revenue of RMB166 million, up 52% year-on-year; among this, revenue from new scenarios such as logistics, securities firms, and banks reached RMB11.26 million, surging 195% year-on-year, with a growth curve far steeper than the traditional core business. As of now, the business has cumulatively served more than 390 million connected users, with customer satisfaction reaching 99.7%. The speed of cross-industry replication is the core yardstick for validating the quality of the model. The most representative logistics scenario has direct and sharp pain points: more than 60% of inquiries are concentrated on standardized issues such as package tracking and delivery expediting, and during major promotions, inbound call volumes surge while manual connection rates plummet. The implementation results: the silicon-based customer service's daily call handling volume climbed from fewer than 1,000 calls in the initial launch period to nearly 15,000 calls, with the longest single-call independent handling duration exceeding 30 minutes. Replication in the securities firm track is equally rapid. As of August, signed and in-progress securities firm clients reached 13, and the scale of silicon-based employees at a leading securities firm expanded from 30 at the beginning of the year to 300. Active customer deployment is the hardest endorsement for enterprise-level AI implementation. Today, Baifu Prime has covered multiple industries including logistics, airlines, securities firms, banks, and telecom operators. One VoxOne foundation, three product brands penetrating all scenarios The ability to achieve such implementation speed rests on the product logic of a unified foundation. (Bairong Inc. founder and CEO Zhang Shaofeng introduces products at the launch event) The newly launched VoxOne, named after the Latin word for "voice," is positioned as an "enterprise-grade production-ready Voice AI foundation." All scenario capabilities are output based on the same foundation, avoiding duplicated construction and data fragmentation across scattered products. Baifu, aimed at core customer service scenarios, offers three precise forms. The flagship Prime version is suited for large centralized customer service centers; the Lite version is delivered as an all-in-one appliance, featuring full private deployment with data remaining within the internal network, requiring no system reconstruction and going live in as fast as one day, hitting the data security and lightweight needs of SMEs; the Aura version targets field scenarios, fully capturing voice and social media communications as traceable data, driving dual improvements in lead conversion rates and customer renewal rates. Baiying and Baiyu, extending outward, complete the pieces for marketing and ecosystem. Baiying focuses on outbound marketing scenarios, creating a five-step closed loop from high-potential identification to conversion fulfillment, turning simple voice notifications into a traceable marketing operation line, and has been implemented in scenarios such as securities account activation wake-ups and property insurance renewals; Baiyu, as an open platform, outputs full-duplex real-time voice interaction capabilities to terminals such as smart hardware and wearable devices. The real moat: the RaaS model forged from 2.6 billion conversations An unavoidable question: general-purpose voice large models are everywhere, so where exactly is Bairong's barrier? The answer lies at three levels. First is the data barrier. The company has cumulatively accumulated 2.6 billion real business conversationsthese are not publicly available generalized corpora, but vertical scenario data tagged with demand identification, business results, and satisfaction labels. They cannot be synthesized and are difficult to replicate, and are the core fuel for vertical model iteration. (In-house models perform excellently in international competitions and evaluations) Second is differentiated technological competition. Bairong has never sought to compete on the parameter scale of general-purpose models, but has instead focused relentlessly on delivery capability in enterprise contact scenarios. The in-house BR-Voice series models control end-to-end latency within 500 milliseconds, with a character error rate as low as 2.30%, consistently ranking in the first tier in international competitions and evaluations such as INTERSPEECH and Voice Bench, with multiple metrics leading the domestic industry. More critically, proprietary small-parameter models combined with an in-house parallel inference engine have multiplied overall response speed and significantly reduced inference costs, leaving ample profit margin for commercialization. The most core difference is the generational gap in business model. All product lines adopt RaaS "Results as a Service" pricing: charging by successfully completed work orders, the number of deployed silicon-based employees, or revenue sharing based on the business scale facilitated. Simply put, rather than selling AI software to customers, the company empowers customer service systems with AI technology to improve quality and efficiency, with fees directly tied to the results of business value enhancement. Customers achieve dual upgrades in service efficiency and service quality, while the company's revenue grows in sync with business scalethe interests of both parties are highly aligned. No matter how strong the model, if it cannot connect to a company's ERP or CRM and cannot run business processes, it remains a castle in the air. The company's FDE forward deployment team goes deep into customer sites, decomposing and transforming manual processes into AI workflows, achieving a full-chain closed loop from interaction and processing to system write-backthis last-mile implementation capability is precisely the shortcoming that general-purpose model vendors find hardest to fill. From product to industry: the long-term chess game of "validate first, then replicate, then scale" Bairong Inc. founder and CEO Zhang Shaofeng once proposed the development path of "validate first, then replicate, then scale." This launch event is precisely the complete presentation of this path in the Voice AI business. Validation has been completed, replication is accelerating, and the chess game of scaling has already extended to the industry level. The company has currently implemented two core industry layouts: first, jointly with Zhixing Heli to advance "AI+BPO" human-machine collaboration, where standardized tasks are handled by AI and humans focus on complex high-value services, directly amplifying the implementation scenarios of AI capabilities; second, jointly with CICC Capital to establish a RMB500 million industry fund, focusing on computing power, hardware, and technology companies upstream and downstream of AICC. Unlike ordinary financial investment, this fund's anchor always revolves around the AICC core businesswhat it seeks is not short-term returns, but upstream assets that can be integrated into its own delivery chain. "AI Roll-up provides a brand-new path for the industrial upgrading of contact centers." The company's statement at the end of the launch event has already made its future ambitions very clear. Looking back at this round of AI industry iteration, the first half competed on model capabilities, while the second half competes on industrial implementation. Today, the market's Voice AI business has completed implementation validation and is running on the fast track of cross-industry replication, with even the business model having completed the upgrade from "selling tools" to "delivering results." As Voice AI moves from conceptual hype into the deep waters of industry, players who can truly deliver results and coexist symbiotically with customers will ultimately obtain their own valuation pricing. And the value re-rating of Bairong Inc. may have only just begun.