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MaaS: Model as a Service

Based on Discriminant AI,we assist vertical industries with the "supply based on demand" model for decision-making. We adhere to the philosophy of continuous service to address long-term, short-term, holistic, and localized issues in vertical industries, promoting the service-oriented and inclusive development of artificial intelligence in these sectors. Discriminant AI, uses cutting-edge scientific technology, relying on deep experience in vertical industries and digital intelligence application capabilities. It empowers vertical industries, to build technology applications, enhances the standardization, scalability, and systematic application of products and services, and assists clients in accelerating customer penetration, improving business innovation, and enhancing value creation capabilities.

BaaS: Business as a Service

Empowering vertical industry business outcomes through the serial and parallel combination of Discriminant AI and Generative AI. BaaS provides end-to-end closed-loop management, particularly in asset operations, taking responsibility for both the process and the final results. Outcome-driven, it enhances the usability, visibility, and commensurability of AI application efficiency in vertical fields, facilitating the improvement of operational efficiency in vertical industries. It is applicable in multiple scenarios, already covering the financial industry, insurance industry, e-commerce/leasing, and will extend its services to more vertical industries in the future.

Financial Industry Cloud

Insurance Industry Cloud

E-commerce, Leasing, and Other Industry Clouds

Financial Industry Cloud: This is a significant application in the financial sector based on the BaaS business. It uses Discriminant AI and Generative AI, as its foundation and covers specific business scenarios like credit, micro-business, and wealth management. It helps institutions acquire incremental customers while operating their existing customer base. By providing intelligent empowerment for asset and liability business with AI, it assists institutions in achieving core KPIs, improving the efficiency of asset operations in the financial industry, and charges technology service fees based on the scale of facilitated financial transactions.

In the phase of new customer operation

Leveraging BaaS Financial Industry Cloud as the engine and based on foundational AI capabilities, we have created a multi-channel product structure and a multi-dimensional operational system. This approach seamlessly integrates C-end users with B-end institutions, establishing an integrated end-to-end service within the financial scenario for new customer marketing. This facilitates the continuous enhancement of platform user retention and user value. (On one hand, beyond the top-tier industry resources, we have expanded traffic channels in various scenarios such as e-commerce, travel, payment, media, and education, lowering the cost of acquiring new customers. On the other hand, leveraging our self-owned platform, we have accumulated 50 million registered users. As repeat purchases from the existing user base increase, the average customer acquisition cost decreases. With the decrease in customer acquisition costs, we gradually achieve profitability.)

In the phase of existing customer operation

With macroeconomic policy adjustments and the evolution of banking business, institutions are shifting from acquiring new customers to deeper management of their existing customer base. The demand for supplier capabilities in system construction, precise selection, and result delivery is increasing. BaiRong quickly seizes this opportunity and differentiates itself from the current market by offering institutions a result-oriented end-to-end solution, enabling precise segmentation and real-time feedback and adjustment through AI intelligent robots, text message, and human engagement. This provides institutions with a full-service solution for existing customer operation, achieving their core KPIs.

Financial Industry Cloud

Insurance Industry Cloud

E-commerce, Leasing, and Other Industry Clouds

The insurance brokerage platform empowers agents through online CRM, profile analysis, and direct integration with core insurance systems, creating an efficient insurance marketing technology platform that leads the industry. It adopts a forward-thinking two-tier flat management model for distributing more commission incentives to brokers.
Online CRM
Direct integration with core insurance systems.
Profile analysis

Financial Industry Cloud

Insurance Industry Cloud

E-commerce, Leasing, and Other Industry Clouds

By organically combining industry Know-How with AI technology.
We enhance asset operational efficiency.
Assist vertical industries in achieving digital intelligence development.
Provide comprehensive empowerment.

BaiRong Technical Research

R&D History

Bairong began with Discriminant AI in 2014. By the end of 2017, it commenced research and development of Generative AI (specifically intelligent speech for multi-turn text and voice conversations). In 2018, this technology was successfully applied to intelligent operational services, resulting in the creation of the first-generation AI Chatbot product. Starting in 2021, it achieved large-scale commercialization.

Overall R&D Output

Since its establishment, Bairong Inc. has obtained over 200 enterprise software copyrights and patents, covering areas such as artificial intelligence, machine learning, privacy computing, human-computer collaboration, and multi-modal technologies. The company continues to attract and train top R&D talent, with nearly 50% of its employees engaged in R&D.

R&D Products/Tools

Bairong Inc. has developed efficient foundational tools tailored to specific business scenarios, including the ORCA automatic machine learning platform, BaiRong's large model BR-LLM, the intelligent AI voice product Chatbot, and the privacy computing platform Indra. These tools enhance product performance and facilitate efficient business upgrades.

BR-LLM Large Model

BaiRong Inc. has built the BR-LLM industrial large model based on the deep learning Transformer framework, combining NLP, Intelligent Voice Technology and other technologies. BaiRong Inc. independently developed the underlying framework for large models, enabling training with parameters in the billions through deep fine-tuning.
At the AI development level, large models demonstrate powerful code automation capabilities. Large model engineers can issue clear instructions in text to generate models, significantly improving machine learning development efficiency and production processes.
In intelligent interactions, large models offer "human-level" conversation effects, achieving voice recognition accuracy of over 99% for customers. In decision analysis, small models, led by Discriminant AI, have already played a crucial role, and the introduction of large models will further stimulate the power of small models.


Utilizes BR-LLM's code generation capabilities to strengthen the foundation of ORCA.
Innovatively achieving automatic model conversion and deployment across programming languages and frameworks.
This greatly reduces the development and deployment cycle and costs of model products.


C-EVAL (a comprehensive Chinese basic model evaluation suite) ranks 25th in the latest test rankings.
The model covers approximately 100 million high-quality Chinese training data tokens.
Passed comprehensive tests from C-EVAL, including 52 different subjects and four difficulty levels.
It demonstrates excellent performance in STEM, social sciences, and humanities.
Providing strong technical support for further exploring the specific applications of Generative AI technology in vertical fields.

AI Chatbot

The intelligent AI voice robot (AI Chatbot) integrates technologies such as natural language processing (NLP).
Voice activity detection (VAD)
Automatic speech recognition (ASR)
It can accurately recognize human language.
Text-to-speech (TTS)
Provide millisecond-level voice interaction and feedback, and achieve high accuracy.