Defining the Era of "Flexible Silicon-based Employment": BRYDATA's Exploration and Leadership in the RaaS Model
As the Spring Festival holiday in the Year of the Horse approaches, the nine - day continuous break is called the "longest Spring Festival Golden Week in history" by netizens. At this time, people are eager to return home, but still have to deal with the cumbersome adjustment of work processes. Human resources allocation is one of the difficult problems. Traditional industries face a huge "human resource vacuum" at this time. The hardware facilities and software services purchased by enterprises are also in a state of idleness and idle running, which poses challenges to ensuring the flexible operation of enterprises.
The latest solution has actually emerged.
The "Flexible Silicon - based Reinforcement Army" under Silicon - Carbon Co - governance
During the Spring Festival last year, Zhang Shaofeng, the chairman and CEO of Rong360, an enterprise - level intelligent agent platform company, found that he was a bit overwhelmed. In a company with thousands of employees, implementing flat management is a huge challenge to the energy of senior executives.
Later, in an interview, he mentioned his coping strategy: "I built my own'silicon - based' assistant through the Rong360 intelligent agent platform by dragging and dropping." It can handle some daily work according to the actual situation. For example, it can set a more scientific schedule according to the priority of work and make real - time adjustments, and handle trivial work such as data in statistical work and renaming files. These things can be completed by simply "sending a text or voice message to the silicon - based assistant", allowing managers to focus more on core affairs.
What is a silicon - based assistant? According to the definition in the "White Paper on Enterprise - level AI Intelligent Agent (Agent) Technology and Application" by the China Academy of Information and Communications Technology, they are "agents that can perceive the environment and use tools to take actions to achieve specific goals". Simply put, they are "AI intelligent agents".
Rong360 is a pioneer in this field. On December 18, 2025, Rong360 officially released its enterprise - level AI intelligent agent strategy, proposed the RaaS (Result as a Service) business model, and launched the Results Cloud platform and the enterprise - level intelligent agent product system.
Rong360's actual actions were actually earlier than the strategic release. Now, the application of intelligent agents like "silicon - based assistants" is no longer limited to enterprise senior executives and has also been widely used among grass - roots employees in the company. "It can be business - to - business, and employees can also build silicon - based assistants for themselves."
These AI intelligent agents are not simply a collection of codes, but standardized productivity assets precipitated in Results Cloud. Relying on its underlying Agent OS (Baigong) and the engineering delivery system, application parties can, like scheduling elastic cloud computing power, achieve the batch deployment and precise replacement of the'silicon - based reinforcement army' within a very short period according to the needs of business peaks, fundamentally realizing a paradigm shift from the 'rigid constraint of human resources' to the 'flexible guarantee of productivity'."
"It is essentially a machine human resources system." An overseas industry blogger named "AI Thinking Chain" summarized on X. This highly professional tweet has attracted wide attention, with more than 400,000 views.
Once launched, this machine human resources system can theoretically allocate silicon - based employees on demand. Zhang Shaofeng revealed that the silicon - carbon ratio within Rong360 has reached 1:150, which means that one carbon - based employee can dispatch about 150 units of silicon - based employees.
They are widely used in scenarios that can be covered by AI, such as interviews, accounting, taxation, research, and marketing. As the AI training ability improves, the self - coordination ability among silicon - based employees is enhanced, and the number of silicon - based employees that a carbon - based employee can dispatch also increases rapidly. "Silicon - carbon co - governance" is growing within Rong360 and among its customers in an irresistible trend.
The Dusk of SaaS and the Dawn of RaaS
Silicon - carbon co - governance is not only a solution, nor does it only address the single problem of the "human resource vacuum". Instead, it means the implementation and application of a new production paradigm. At the same time, it also raises the issue of the demise of the old paradigm.
The SaaS (Software as a Service) model is the target of the challenge. The important difference in business logic between SaaS and RaaS is that the former charges a rigid service fee based on the actual number of the customer's employees, while the latter cannot charge according to the number of silicon - based employees. It charges according to the business results after the application of silicon - based employees. When the marginal benefit brought to customers by the increasing silicon - carbon ratio is stronger than that of the increasingly rigid SaaS model, "charging by the number of people" becomes the last straw that breaks the camel's back - I have already purchased the ERP software, so why should I still face the trouble of the "human resource vacuum"?
In the past year, more and more industry insiders have gradually become clearer about this.
On January 20, 2026, a16z, a top - tier venture capital firm in Silicon Valley, released a in - depth analysis report on AI applications, in which it put forward a view that has sparked heated discussions in the industry: the logic of the SaaS industry is undergoing fundamental changes. In the past, enterprises purchased software by the number of people to assist employees in their work. In the era of rapid AI evolution, intelligent agents will directly replace the labor force to complete tasks. A large amount of data accumulated by past carbon - based employees is used to train intelligent agents in different scenarios. For example, using sales data and sales pitches to train intelligent agents can ensure that they reach the average sales level and significantly improve the conversion rate.
This discovery has actually been noticed and applied by first - class enterprises. At the CES conference in January 2026, McKinsey, a world - renowned management consulting firm, revealed that in the past 18 months, the number of its AI agents has soared from several thousand to 25,000. Nearly 30% of McKinsey's workforce consists of "digital employees" - or "silicon - based employees". McKinsey will equip each carbon - based employee with at least one silicon - based employee in the next 18 months.
In the view of Zhang Shaofeng and his colleagues, silicon - based employees can provide measurable job performance just like carbon - based employees. Behind the silicon - based employees is the infrastructure based on the cloud platform and the corresponding services. The platform itself has deeply intervened in the customer's business and assumed greater responsibilities and risks for the customer's performance. The deep coupling of its products with the customer's performance has led to a fundamental change in the relationship between the platform and the customer.
In the AI 1.0 era, SaaS was once considered a common model for enterprise - level AI applications. However, as the potential for business growth brought to enterprises has been exhausted and homogeneous competition has intensified, the application of SaaS is approaching dusk, and a new model is eagerly awaited. From a16z to McKinsey, they have all discovered that the large - scale application of AI intelligent agents has promoted the emergence of the RaaS model.
In Zhang Shaofeng's words, RaaS is not about selling shovels to customers for them to dig gold by themselves, but about using the same shovel to help customers dig out gold. Rong360's Results Cloud was developed and created based on this concept. Its intention is obvious: to align with business results in the RaaS model, transplant the customer's business experience and capabilities accumulated over the years onto AI intelligent agents, and thus elevate the silicon - based "assistance" to carbon - based employees to "silicon - carbon co - governance".
Rong360's confidence in its technical capabilities supports its ambitious RaaS strategy. Results Cloud has established a three - tiered structure to meet different levels of needs, namely AI Infra (Baoji, computing power infrastructure + inference engine + paraphrasing domain AI model), Agent OS (Baigong, enterprise - level intelligent agent operating system), and Agent Store (Baihui, with Rong360's flagship silicon - based employees built - in). It is worth noting that in addition to acting as a "product store", Agent Store can also be upgraded to an open platform to expand the silicon - based employee ecosystem with third - party developers.
After breakthroughs in the research and development of four major technology fields, namely conversational AI engineering, speech understanding and synthesis, retrieval enhancement and long - term memory, and tool invocation and orchestration, the development of Rong360's silicon - based employees has now been engineered, and the deployment cycle has been shortened from two months to two weeks.
This means that whether an enterprise has sudden needs or is seeking an increase in regular business, it can quickly expand its labor force through Results Cloud to meet the enterprise's needs in different directions. Thus, Rong360 has become a real "AI labor dispatch company".
However, it seems that it does not stop at "labor dispatch". While providing silicon - based employees, Rong360 has introduced its unique management system called the "Silicon - based Employee Home" to conduct standardized management of these employees. Each silicon - based employee has a unique employee number, performance indicators, and is equipped with a carbon - based "workplace mentor" to ensure that they can meet the standards once they start working. In this management system, the application of silicon - based employees has greatly simplified the training process for carbon - based employees and the system running - in process. The flexible way of dispatching silicon - based labor has also saved enterprises a regular IT service subscription expense.
On this basis, Results Cloud applies silicon - based employees in different scenarios and summarizes the "Four Flagship Silicon - based Positions", namely Baiying (Integrated Sales and Service), Baicai (Intelligent Recruitment), Baijian (Professional Services), and Baizhi (Knowledge Production). Baiying is targeted at the customer experience field, covering scenarios such as intelligent marketing, customer service, and customer retention, bringing business growth. The other three are targeted at the employee experience field, deeply involved in professional service scenarios such as finance, taxation, law, human resources, and research to improve efficiency.
Judging from the statistical data, the silicon - based specialists in the four positions deserve the title of "flagship". The consulting conversion rate of Baiying has increased by 217%. Baicai has shortened the recruitment cycle from 28 days to 2 days. Baijian has reduced the legal, business, finance, and taxation costs totaling millions of yuan to less than one million yuan. Baizhi has shortened the delivery cycle of in - depth reports by 80%. The four flagship positions work both internally and externally, initially forming a closed - loop for enterprise operation and bringing silicon - carbon co - governance to a higher level.
Defining a New Benchmark for the AI Era with a New Paradigm
The RaaS model has initiated silicon - carbon co - governance, changed the way of enterprise governance, and brought about a win - win situation.
The platform is undoubtedly the direct beneficiary of silicon - carbon co - governance. RaaS is centered around "result - orientation and result - based pricing", including pricing by position, pricing by output, and performance - based profit sharing, which is more flexible than the previous SaaS subscription payment model. While the customers have achieved obvious growth, in the first half of 2025, Rong360's revenue also increased by 22%, and the gross profit margin remained stable at 73%.
Importantly, in the RaaS model, the customer data comes from private traffic, and its AI training is different from the general AI large - models of large companies. The AI intelligent agents trained through private traffic can continuously improve the fault - tolerance rate over time and strengthen the coupling relationship between the intelligent agent platform and the customer's business, thus building a solid moat for the continuous construction of the RaaS model.
This difference has also led to a shift in the cognitive coordinates of the industry and the capital market. Their focus has shifted from traditional SaaS evaluation factors such as the effort required for software and the unit price per customer to indicators representing new - quality productivity, such as the "number of active silicon - based employees in the production state" and the "work share", to judge the degree of binding between the intelligent agent platform and the customer and the revenue growth prospects.
The year 2025 is considered the "Year of the AI Intelligent Agent". The domestic industry is seeking to formulate evaluation norms for the application efficiency of enterprise - level AI intelligent agents. Other standards regarding the operation and compliance of AI intelligent agents are also being introduced one after another. Some listed companies have chosen to disclose their AI intelligent agent application situations. In several major AI enterprise mergers and acquisitions in 2025, a new evaluation system oriented towards the RaaS model is being established.
If the data intuitively shows the benefits that RaaS brings to customers, then Rong360's attempt is bringing implicit and conceptual changes to the industry. More than a hundred years ago, Ford's assembly - line revolution greatly improved labor productivity, but it also made people fall into instrumental rationality that only pursues value and ignores people's emotional and spiritual values. The evolution of AI technology has given rise to RaaS, transferring this work rationality to "loyal, efficient, and tireless" AI intelligent agents. This is not about silicon - based employees replacing carbon - based employees, but about liberating carbon - based employees from repetitive and high - frequency work, allowing them to have more time and space to engage in creative work.
In this sense, Rong360 is promoting a revolution in a new production paradigm. It is not only an AI intelligent agent platform company, but also a pioneer and rule - maker in the global RaaS field.