Extreme Krypton AI full-chain revolution, reshaping future travel

This Spring Festival, an AI storm set off by DeepSeek swept the world.

In this wave of technology, as one of the first car companies to connect with DeepSeek, on February 7, Gekrypton officially announced that its self-developed Kr AI model and DeepSeek R1 model had completed deep integration, and the intelligent cockpit assistant AI Eva has also been integrated and will soon be launched. Jiang Jun, vice president of Gekrypton, said that the Gekrypton smart cockpit team will use the DeepSeekR1 model as the basis to continue to train the reasoning capabilities of Gekrypton’s self-developed Kr AI model to improve the understanding and prediction accuracy of users ‘fuzzy intentions and implicit needs., to provide users with more desirable proactive intelligent services.

On February 14, the Jikrypton Technology Group, which was formed by the integration of Lingke and Jikrypton, was officially established. An Conghui, CEO of Gekrypton Technology Group, revealed in a letter to all employees that with the launch of large-scale AI end-to-end models, Gekrypton’s self-developed Haotian Smart Driving achieved a national full push of NZP in unmapped cities at the end of last year, and will soon open a public beta of 10,000 people from parking spaces to parking spaces (D2D), and full push will start in April. Relying on the accelerated evolution of AI empowerment and innovation in combining software and hardware, Haohao Intelligent Driving L3 intelligent driving is about to be officially implemented, achieving intergenerational leadership in computing power, architecture, performance, and safety redundancy. The new flagship model of Gekrypton equipped with related technologies will be unveiled during the Shanghai Auto Show in April. Gekrypton AI OS will continue to lead the industry’s strongest proactive service capabilities and further unleash the personalized potential of thousands of people.

It is understood that the AI of polar krypton layout has long been followed. In April 2024, the Gekrypton AI platform was officially launched. In September of the same year, the Gekrypton AI and Big Data Collaboration Professional Group was officially established. In the short term, AI capabilities have quickly covered 100+ business scenarios in the fields of R & D, sales, supply chain, quality, and operation support, with nearly 100 million large model calls. In the operation and management of enterprises, AI has gradually demonstrated its powerful effectiveness and has achieved fruitful results throughout the entire chain.

In order to further concentrate resources to improve the level of enterprise intelligence and build a global industry-leading advantage in digital intelligence productivity, in 2025, Gekrypton will establish a special intelligent development department to focus on forward-looking exploration and research and development in the field of artificial intelligence and accelerate AI. The full-link and full-scenario empowerment of the group’s business supports the company to achieve the key goal of improving overall operational efficiency by more than 20%.

In terms of implementation strategy, Liu Hao, vice president of Gekrypton who is in charge of the organization, said that the Gekrypton Intelligent Development Department will always start from high-frequency and high-value business scenarios, explore AI opportunities together with the business, and continue to penetrate through process changes. At the same time, on the technology side, existing digital systems will also be reconfigured for AI, increased data governance, and model adaptation and computing power scheduling will be done. On the premise of ensuring safety and compliance, we adhere to the concepts of AI In All and AI For All to continue to operate and promote the continuous upgrading of new human-machine collaborative organizations, so as to achieve rapid advancement of business from digitalization to intelligence, and empower product innovation and business upgrades.

Krypton knows: fellow’s encyclopedia

On the sales side, Gekrypton has gradually become an encyclopedia of Gekrypton fellow. It has a unique underlying multimodal knowledge base, which not only covers traditional formats such as text and documents, but also adds new data forms such as pictures and videos. This rich data plays an important role in sales scenarios.

 “Gekrypton knows that it is not an independent application, but is integrated into the Star APP on the Gekrypton sales end. Fellow can use relevant functions through a specific entrance in the app.” ldquo; Ji Krypton knows that it can not only provide sales personnel with sales knowledge and skills, but also product comparison information. When introducing the appearance, interior, vehicle and intelligence-related functions of the vehicle, Jikrypton knows that it can not only provide standardized text introduction, but also extract pictures or videos of corresponding operations to realize the three-in-one knowledge presentation of graphics, text and vision. When fellow needs to understand the product, he enters relevant questions, and Krypton knows that a clear comparison will be presented in a table form.

Since its promotion in August last year, Gekrypton knows that it has accumulated a certain scale of usage data. As of February this year, 68,000 valid questions were asked per month, 100% covering fellow groups. For example, through the analysis of user question data, it is found that users have a large demand for market-related questions and product detail parameters. For these high-frequency questions and questions that cannot be answered by large models, Gekrypton has internally established a question-feedback-optimization iterative mechanism to sort out and optimize answers to high-frequency questions, and continuously improve the knowledge map. At present, multiple rounds of large-scale knowledge base upgrades have been completed, increasing the accuracy of professional question replies to more than 90%.

AI Quality Inspection: Supply Chain Speciality Review

While knowledge management revitalizes sales terminals, a silent change is taking place in the supply chain. In September 2024, the AI special feature review agent was launched, freeing supplier document review from the artificial quagmire.

Krypton has very strict requirements for supplier management. Suppliers need to submit a large number of documents and data to describe various parameters and characteristics of parts. There are many parts and components, complex characteristics, and a huge amount of documents. Manual confirmation of validity is time-consuming and laborious, and is inefficient.

Traditional digital systems can only judge fixed formats or content and cannot understand text semantics. For example, if the required room temperature is filled in by the supplier, the error will be reported. The AI model has reasoning capabilities and can understand the meaning of language, which is the biggest difference between it and traditional code. Because of this, after AI was launched, work such as special feature review was realized and 100% inspection was achieved.

Since its launch at the end of September last year, nearly 600 engineers have used the system in three months, processed more than 300,000 pieces of data, and identified corresponding problems. It is expected to cover about 1000 engineers this year. At the same time, suppliers also have the right to view. This step is equivalent to a pre-review of suppliers, which greatly improves the accuracy of input.

AI styling design: double breakthroughs in efficiency and creativity

As competition in the new energy vehicle market intensifies, excellent design is becoming the key to making products stand out.

However, the traditional car styling design process faces many challenges: on the one hand, during the creative divergence stage, viewing styling inspiration materials often requires a lot of time searching for needles on the Internet, which is scarce and inefficient; on the other hand, from sketches to 2D effects, The rendering of 3D effects and display scenes are very time-consuming, which delays the pace of creative iteration and project advancement.

In order to meet these challenges, the team began to think early on about how to empower car styling design through AI capabilities. However, simply deploying open source large models or using third-party AI drawing software cannot solve the problem well. Whether it is the quality of generated images, information security and compliance requirements, it is all a challenge. In the end, Gekrypton chose to develop its own AI intelligent drawing system based on business needs, integrate Gekrypton’s styling design workflow into this system, and conduct AI model training around design requirements such as model, interior, and exterior decoration to ultimately ensure high quality and efficiency. The AI-generated pictures are highly consistent with the DNA of the Gekrypton brand.

 At present, the Gekrypton styling design team has achieved full coverage of AI capabilities at work. Through a customized AI design workflow, it runs through all aspects of the exterior design and interior design of the car, producing tangible efficiency and quality improvement in the project. With the breakthrough of 3D generation technology, AI is expected to completely subvert the traditional automobile modeling and design paradigm in the future and achieve the ultimate goal of creativity as production.

This technological innovation, which started with efficiency improvements, is reshaping the nature of car design. Let AI understand aesthetics and let humans release imagination. The future of automobile design has entered a new era.

AI digital employees: opening a new chapter in efficient enterprise operations

At a time when the wave of digitalization is surging, enterprise transformation has become a key choice for survival and development. Based on cutting-edge AI technology, Gekrypton has developed a capability digital twin system by integrating the enterprise knowledge base and quantifying the multi-dimensional capabilities of employees. It has built multiple agents with general capabilities and professional capabilities, opening up a new paradigm of human-computer collaboration in the AI era.

This set of AI solutions around efficient operations of enterprises is fully reflected in an AI digital employee named Xiaozhi. Relying on the AI Agent platform independently developed by Gekrypton, the world’s top AI models (such as DeepSeek, GPT, Tongyi Qianwen, etc.) are integrated and deployed to ensure the advanced nature of model capabilities and data security.

As an intelligent collaboration hub, AI algorithms are used to realize dynamic reorganization of organizational elements to form problem-oriented instantaneous combat units. Every Gekrypton employee can not only receive support in office coordination and collaboration through Xiaozhi, but also receive professional ability support in multiple professional fields such as research, production, supply, sales, and service, so that cross-department collaboration becomes more efficient. Xiaozhi has become a favorite life assistant and work assistant for employees of Jikrypton.

In daily office, she can provide employees with intelligent questions and answers based on the corporate knowledge base, and can also provide employees with efficient support for multiple office tasks such as schedule management, meeting summary, copywriting, resume screening, interview evaluation, data analysis, etc. based on the general workplace capabilities that are digitally twinned; in the R & D field, she can accelerate product innovation through data analysis; in the production process, she can optimize production plans based on monitoring production status; In supply chain management, she can optimize inventory through accurate demand forecasting; in sales and service, she can provide employees with a rich product knowledge base, and provide customers with accurate customer portrait analysis and personalized verbal recommendations. Provide efficient support.

AI digital employee Xiaozhi not only improves the efficiency of Gekrypton employees, but also creates significant competitive advantages for the company and becomes an important driving force for Gekrypton’s digital transformation. With the advancement of AI technology, digital employee capabilities continue to evolve, and a new type of intelligent organization is helping enterprises open a new chapter in efficient operations.

AI remote diagnosis: intelligent housekeeper throughout the life cycle

In the field of smart cars, remote diagnosis is using AI technology to achieve major changes. At present, automotive remote diagnosis has gradually developed from an initial reliance on manual labor to an intelligent system integrated with AI, significantly improving service efficiency and user experience.

In the early days, remote diagnosis mainly relied on manual work. After-sales technical support engineers analyze and judge vehicle problems based on the data and logs on the cloud on the vehicle. With development, we enter the data modeling stage, and after sales, we can use collected data to build analytical models to quickly deal with complex problems. Taking the energy consumption problem of electric vehicles as an example, by integrating data such as user specific time periods and vehicle temperature, and comparing it with vehicles with the same configuration in the same region, the reasons for the high energy consumption are analyzed.

After integrating with AI, the remote diagnosis rate will increase year by year, from 30% in 2023 to 70%+ in 2024. In the future, it is planned to achieve 90% of faults solved in the cloud. In addition, through the end-to-end rule model, the entire process from fault determination to store maintenance is automated, further improving after-sales efficiency and accuracy. When a vehicle collides or a meter fails, the background detects the problem in time through rule algorithms, proactively contacts the user and provides rescue services. If the user encounters a power system failure or a tire burst, he will proactively arrange rescue after background monitoring. In addition, early warning of issues such as battery pressure difference is provided and handled before the vehicle breaks down to avoid user trouble.

The application of AI in remote diagnosis of smart vehicles not only greatly reduces the workload of after-sales personnel and improves work efficiency, but also provides users with more convenient and efficient services and improves user satisfaction. With the continuous penetration of large model technology, remote diagnosis is expected to evolve from a maintenance aid to a full life cycle intelligent housekeeper, opening a new era of intelligent travel services.

In the wave of intelligence in the new energy automobile industry, Gekrypton has raised AI’s strategic level, thereby reconstructing the underlying logic of the century-old automobile industry and deeply integrating technological innovation with business scenarios. When the lights no longer illuminate just the road, when the batteries drive not only motors, and when the steering wheel is connected not only tires, a mobile intelligent civilization reshaped by AI is accelerating, and the extreme experience advocated by Krypton is gradually reflected into reality through the in-depth application of AI technology.