Charge towards RaaS! Bairong Cloud Innovation releases "Silicon-based Employees" and Agent ecosystem, ushering in a new era of silicon-carbon co-governance

AI is not just providing a "tool", but "delivering results" in the era of silicon-carbon co-governance.

On December 18, Bairong Cloud officially launched its enterprise-level AI Agent strategy, explicitly proposing the RaaS (Result as a Service) business model and introducing the Results Cloud and an enterprise-level Agent product portfolio for multiple business roles. Simultaneously, Bairong Cloud announced the co-creation of a "Silicon-based Productivity Ecosystem" with industry partners to accelerate the large-scale deployment of "silicon-based employees" in high-value roles such as marketing, customer service, HR, and legal affairs.

Zhang Shaofeng, Founder and CEO of Bairong Cloud, stated at the launch event: "The next phase of enterprise AI is not about talking more, but doing more; not about delivering a function, but delivering a result. RaaS enables enterprises to truly turn AI into productivity: role-oriented, end-to-end execution, measurable delivery, and auditable traceability, ensuring accountability for results. We will also open the foundational capabilities of this enterprise-level intelligent agent to ecosystem partners, jointly advancing the production, training, deployment, and evaluation of silicon-based employees, making results verifiable, reusable, and scalable."

Zhang Shaofeng, Founder and CEO of Bairong Cloud

Era Judgment: Silicon-Carbon Co-Governance is a Measurable "New Governance Model"

The ultimate significance of generative AI is to liberate human creativity. Bairong Cloud proposes the enterprise vision of "Silicon-Carbon Co-Governance, Intelligence Achieves Results", aiming to build a new form of business organization where AI (silicon-based) and humans (carbon-based) leverage their respective strengths and collaborate. Silicon-carbon co-governance is not a slogan but an observable indicator system: silicon-carbon ratio, workflow reconstruction rate, collaboration maturity, and AI-native maturity. Humans focus on strategy, creativity, and emotional connections, while standardized, process-driven, and computation-intensive tasks are handled by loyal, efficient, and tireless "silicon-based employees". Bairong Cloud's mission is to enable every enterprise to easily assemble and manage its own "silicon-based army" through the RaaS strategy and the "Results Cloud" platform, transforming AI's potential into growth momentum, competitive barriers, and innovation sources. AI is not just a tool but accountable for business outcomes.

Strategy and Brand Launch: BR = Best Results

Bairong Cloud's evolution is a history of striving to "deliver quantifiable business results for clients". "Our starting point stems from a simple belief: everyone is selling hammers, but clients want to dig gold—business results," said Zhang Shaofeng, Founder and CEO of Bairong Cloud. Over the past decade, the software industry has tried three models: initially, project-based one-time deliveries with high customization costs and difficulty in scaling; later, selling tools with diminishing value perception, homogenization, and 恶性竞价; and then SaaS subscriptions, moving tools to the cloud, but the issues of weak value perception and homogenization 卷 remained unresolved.

In today's Agentic AI era, AI capabilities have exploded, but they remain trapped in old models, unable to unleash true productivity. What Bairong Cloud is doing today is not AI tools but a paradigm shift in productivity—AI cannot follow the old path; it must deliver results.

"Result-oriented, priced by results" is the core logic driving Bairong Cloud's development. This distinguishes it from most AI companies that "sell features and tools", emphasizing instead a value community with clients around business outcomes. Based on this, Bairong Cloud has positioned its corporate strategy as "providing clients with silicon-based employees that deliver results" and completed a brand refresh, anchoring its proposition to Best Results.

Platform Launch: Three-Tier Architecture of Results Cloud

"Results Cloud" platform was 重磅 launched. As the core 载体 of the RaaS strategy, the design philosophy of the "Results Cloud" platform is to enable enterprises to deploy and manage "silicon-based employees" at scale, just like hiring and managing human employees. The platform is divided into three tiers:

First tier: "BaiJi"—AI Infra, computing infrastructure + inference engine + domain-specific AI models;

Second tier: "BaiGong"—Agent OS, an enterprise-level intelligent agent operating system;

Third tier: "BaiHui"—Agent Store, featuring Bairong Cloud's flagship silicon-based employees.

The Results Cloud platform builds an unprecedented enterprise-level AI productivity system. Its three-tier architecture not only provides a technical foundation but also achieves a quantifiable commitment to "accountability for results" through five core capabilities, truly elevating AI from a tool to a productivity level.

· Observable and Measurable: The platform establishes a comprehensive monitoring system for agent operations. In the "BaiGong" layer's Agent Builder module, enterprise capabilities are "atomized" into reusable agent components, enabling end-to-end observability and optimization to ensure "deployment meets standards". Through the value 闭环 mechanism in the "BaiHui" layer, usage is measurable, business impact is quantifiable, and clients can clearly see the business 回报 of every investment. This deep observability turns agent performance from a "black box" into a "transparent table", truly fulfilling the promise of "accountability for results".

· One-Click Evaluation, Optimization, and Release: The Results Cloud platform pioneers a "one-click evaluation, optimization, and release" experience. Based on the Agent DevOps system, enterprises can quickly atomize complex business capabilities, with the system automatically completing model selection, parameter tuning, and 效果 validation. The platform innovatively introduces "reflective learning" technology, automatically transforming historical interaction records generated during agent operation into abstract experiential knowledge through "reflection" technology，批量 and safely injecting it into the agent's knowledge base to achieve 自我跃升 in performance. This mechanism makes agents "more accurate with use", eliminating the need for manual 反复调试， and truly realizing the 高效 experience of "one-click optimization, one-click release".

· Online Self-Iteration: The platform's Agent Runtime capability enables "online self-iteration" of agents. Through "reflective learning" technology, agents automatically 提炼 historical interaction experiences during operation, transforming them into abstract knowledge and injecting it into their own knowledge base for continuous performance improvement. Compared to traditional methods relying on manual prompt engineering, this self-iteration mechanism makes agent improvement more stable and scalable. Agents continuously learn and evolve during use, with performance 接近 models requiring 大量标注 data for fine-tuning (Supervised Fine-Tuning, SFT), but at significantly lower costs, truly achieving "operation 即 evolution" in agent lifecycle management.

· Built-In Pricing and Revenue Sharing: The Results Cloud platform innovatively implements a "built-in pricing and revenue sharing" mechanism in the "BaiHui" layer, turning the concept of "accountability for results" into an executable 商业 mechanism. The platform supports three value exchange models: task-based pricing (for single or batch tasks), role-based salaries (equivalent to paying monthly/annual salaries for "silicon-based employees"), and value-creation sharing (revenue sharing with clients based on 业绩提升比例). This mechanism allows clients to flexibly manage their silicon-based workforce like human resources, achieving a value 闭环 of "usage measurable, impact quantifiable，收益 tightly linked to value", truly transforming AI's potential into quantifiable business growth.

· Lifecycle Management: 2 Months → 2 Weeks: Through the Agent DevOps system, the Results Cloud platform 缩短 the development and deployment cycle of agents from traditional months to weeks, achieving a revolutionary "2 months → 2 weeks" improvement. This breakthrough stems from the platform's deep management of the agent lifecycle: from unified abstraction at the LLM Ops model layer, to atomized encapsulation of capabilities in Agent Builder, to continuous evolution during Agent Runtime operation. The entire process is automated and standardized. Each agent is "deployment-ready" without additional 调试， truly transforming agents from "one-time project deliveries" to "sustainable operational digital assets"，大幅提升 ing the efficiency and success rate of enterprise AI applications.

These five core capabilities of the Results Cloud collectively form a solid foundation for the large-scale 落地 of enterprise AI, making "silicon-based employees" truly manageable，计价 able, and quantifiable productivity elements, upgrading AI from a "tool" to "silicon-based productivity" that delivers results, ushering in a new era of "silicon-carbon co-governance".

Wang Weimin, Chief Product and Marketing Officer and Vice President of Bairong Cloud

"The Results Cloud is a 云 platform that integrates full-stack GenAI capabilities based on our continuous service to 8,000 institutional clients and 海量 2C users, supporting a result-oriented, result-as-a-service business model for silicon-based employees," said Wang Weimin, Chief Product and Marketing Officer and Vice President of Bairong Cloud.

Technical Foundation: Why Bairong Can "Deliver Results at Scale"

Bairong Cloud's ability to "deliver results at scale" stems from its 深厚积累 and innovation in AI technical foundations. BR-Proactive LLM achieves ROI in real-world scenarios that is twice that of general large models, BR-Voice end-to-end speech models improve response speed by 4x, BR-Vision-Doc visual language models can perform 高阶 tasks such as parsing, extraction, comparison, and auditing, while the BR Vortex inference engine reduces P99 latency by an order of magnitude through multi-level caching and improves chip utilization by 30% through heterogeneous 算力 optimization.

Bairong Cloud adopts a hybrid architecture of "training in the cloud, inference 归己", deploying model training on Alibaba Cloud to leverage its elastic resources for 算力 peaks, while 落地 model inference on self-built clusters to ensure 完全自主可控 performance, cost, and latency for core business workflows. The platform achieves unified access and intelligent scheduling for all models, with the system automatically matching 异构算力 and supporting dynamic model slicing and aggregation, ensuring each inference task runs on the most suitable and cost-effective resource 组合。

Role-Specific, Elevating Enterprise Silicon-Carbon Ratio: From One Platform to Two Types of Silicon-Based Employees: EX + CX

For a long time, most enterprises have organized work around "carbon-based employees": software systems and tools handle 流程 fragments, while humans connect the fragments. With silicon-based employees entering roles, enterprises will enter a new phase of "carbon-silicon collaboration"—in high-touch, process-intensive, and measurable roles, silicon-based employees 承担 more workload, and the enterprise silicon-carbon ratio 随之提升。

Referencing McKinsey's research framework on "human—Agent—robot"分工， enterprise roles will shift from "human-led" to "human-machine collaboration" to "Agent-led": the more rule-intensive, interaction-heavy, and measurable the work, the more suitable it is for silicon-based employees to take the lead.对应 to enterprise 落地， the two 最先规模化 lines are EX (internal efficiency) and CX (external revenue growth).

Two Types of Silicon-Based Employees: EX + CX

CX (Customer eXperience) domain: Produces external revenue-generating silicon-based employees, covering scenarios like intelligent marketing, customer service, and customer retention, where silicon-based employees can perform tasks such as 精准触达， personalized recommendations, and complex issue handling.

EX (Employee eXperience) domain: Builds internal silicon-based employees，深入 professional service areas like finance, tax, legal, and HR (e.g., resume screening, initial interviews), acting as "super assistants" to employees.

Meanwhile, the BaiHui Agent Store (ecosystem marketplace), as the 生态入口 of the Results Cloud, upgrades from a "product store" to an "open platform", attracting third-party developers and industry ISVs to co-create and list vertical-scenario silicon-based employees, forming a sustainable Agent ecosystem.

Four Flagship Silicon-Based Roles: Proving the Ability to Deliver Results with "Role Templates"

BaiYing (CX): "Sales-Service Integrated" Silicon Specialist: Ensures every customer interaction is heard and understood! By building a stable 金牌 team, solidifying user 口碑， and converting customer 触达 into 商机， it directly addresses the triple 悖论 of traditional sales-service fields (team attrition，口碑 fluctuations，商机 loss), reducing annualized attrition rate from >70% to 0%，波峰 customer satisfaction from a 16% decline to a 55% increase, and 咨询 conversion 率 by 217% surge, elevating sales-service operations to a new silicon-based curve.

BaiCai (EX Smart Recruitment): Silicon Recruitment Specialist: Brings recruitment into the era of 自动驾驶！ Through the 协同 of three product matrices—talent intelligence, smart hiring, and smart management—it achieves a recruitment lifecycle 闭环 of "精准寻源→automatic 流转→wisdom decision-making", directly tackling the triple 困境 of recruitment: "slow hiring, inaccurate assessment, difficult diagnosis", shortening the recruitment cycle from 28 days to 2 days, improving resume 达成率 from 60% to 90%, and expanding HR's single-role recruitment capacity from 5 to 20, truly bringing recruitment into the "自动驾驶 era".

BaiJian (EX Professional Services): Makes top-tier professional services the 出海标配！ Leveraging the BaiJian professional service platform, clients can 一站式 access cross-border setup, compliance design, and 架构 planning for legal, business, and tax services. The platform aggregates 80+ countries and regions and 1,000+ professionals, delivering with silicon-based employees in a "9:1 silicon-carbon 协同" model—90% of 高频 tasks (data collection, verification, key point extraction, traceability, and version management) are handled by silicon-based employees, while experts focus on critical judgments and 审核把关， ultimately compressing feedback cycles from 90 days to 14 days and reducing project costs from 3-6 million to under 1 million, making cross-border legal, business, and tax services more 高效 and 普惠。

BaiZhi (EX Knowledge Production): "The Silicon-Based Buddy for 职场人": Listens, records, and writes well! Through 三端一体 collaboration (recorder + APP + PC), it achieves intelligent aggregation of 全域 data and expert 实践 empowering knowledge production, directly addressing 卡点困局 in the knowledge chain: "fragmented information 难整合， knowledge production lacking 方法论难复用， long delivery cycles (days to months)"，打通 the 闭环 from information acquisition to result delivery, shortening deep report delivery cycles from 20 days to 4 days and improving delivery efficiency by 80%, helping 职场人 efficiently produce expert-level creative 成果。

Ecosystem and Standards: From "Launching Products" to "Defining Rules"

A complete silicon-carbon co-governance ecosystem requires Bairong Cloud to co-create with partners across the industry. At the launch event, Bairong Cloud completed strategic agreements with several 重磅 partners to jointly build the four pillars of the RaaS ecosystem:

· Standard Setting: Jointly released the "White Paper on Enterprise-Level AI Agent Technology and Applications" with authoritative institutions like the China Academy of Information and Communications Technology (CAICT), aiming to define technical frameworks, evaluation systems, and implementation standards to 引领 industry 规范 development.

· Basic Research: Established the "AI for Business Joint Laboratory" with universities like the Gaoling School of Artificial Intelligence at Renmin University, focusing on 前沿 topics like Agent cognitive reasoning and complex task decomposition to maintain technological 领先性。

· Industry Collaboration: Formed 深度 collaborations with mainstream cloud providers, communication service providers, domestic chip companies, and model providers like 通义千问，打通 the full industry chain from 算力， models to application 落地， ensuring the platform's 技术供给 and industry compatibility. Bairong Cloud also partnered with Gangtise 投研 for 生态 collaboration, targeting capital market 投研 institutions to explore and develop financial-scenario voice models with BR-Voice. Additionally, Bairong Cloud strategically invested in SiDi Information, jointly launching the next-generation AI Native card-style financial agent "CaiChaCha" for 券商 2B2C scenarios. Leveraging SiDi Information's 深厚积累 in 券商 resources, Bairong Cloud can extend its AI capabilities and 生态 to the securities industry.

· Industry Ecosystem: Bairong Cloud was appointed as the "Co-Chair Unit of the Intelligent Agent Innovation and Application Working Group" and became the lead drafter of the "Remote Banking Intelligent Agent Standard".

Bairong Cloud's "Results Cloud" platform has upgraded from "launching products" to "defining rules", building a complete RaaS value chain from technical standards, industry ecosystems to 商业 mechanisms.

Platform × Ecosystem Multiplier Effect: Building a New 商业 Ecosystem in the Agentic AI Era

December 18 is not just a product launch but the 起点 of a new era. In the already-arrived Agentic AI era, Bairong Cloud invites industry partners, clients, and investors to 共同 witness and join this 波澜壮阔"silicon-carbon co-governance" journey，共赢 the new intelligent era. Bairong Cloud will continue to advance the RaaS strategy, enabling every enterprise to easily assemble and manage its own "silicon-based army" through the Results Cloud platform and "silicon-based employee" ecosystem, truly transforming AI's potential into growth momentum, competitive barriers, and innovation sources.

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About Bairong Cloud $BAIRONG-W(06608.HK) 

Bairong Cloud (6608.HK) is a technology company focused on enterprise-level AI Agents, with the Results Cloud platform and Agent OS "BaiGong" as its core, combined with self-developed voice/multimodal and knowledge governance, AgentDevOps, to directly assign AI to enterprise roles and align with business results through the RaaS model. Currently, it has been applied at scale in scenarios like marketing, customer service, HR, and legal affairs, serving 8,000+ enterprise clients cumulatively.