Recently, Laplace AI released a new generation of AI-native intelligent productivity operation platform - Laplace AI Lab Freedom Edition, which uses AI Agent and AI OS as technical ideas to help enterprises complete the construction and upgrade of native intelligent processes and build an intelligent enterprise in the new era. The launch of the Laplace AI Lab also marks a new phase of AI Productivity as a Services (AI-PaaS) for enterprise intelligence. The offline product launch conference was held in Beijing and Kunshan, and was strongly supported by Kunshan Industrial Technology Research Institute, Shanghai Society for Science, Technology and Economic Integration and Development, and Pu Play China.
Laplace AI Lab: A super productivity tool for an all-round AI intelligent workforce
With the rapid development of a new generation of generative AI, AI Agent is known as the next development trend of AI after large models, because its tool invocation and task execution capabilities have opened up a broader imagination space for the application of large models, which can provide enterprises or consumers with more diversified personalized services, and play an important role in improving efficiency and reducing costs.
HOWEVER, ALTHOUGH THE EXISTING AI AGENT PRODUCTS HAVE THE ADDITION OF LARGE MODEL INTELLIGENCE, BECAUSE THE PRODUCT IDEA IS STILL BASED ON TRADITIONAL INTERNET PRODUCTS AND CATERS TO THE EXISTING TRADITIONAL PROCESSES, THEY INHERIT THE SHORTCOMINGS OF TRADITIONAL SAP SOFTWARE AND RPA SOLUTIONS AT THE SAME TIME: COMPLICATED FUNCTION STACKING, COMPLEX CONSTRUCTION PROCESS, CLOSED AND INFLEXIBLE PROCESS CLOSED LOOP. These shortcomings are magnified in enterprise-level applications, reducing the potential for efficiency gains and increasing the cost of learning and use.
Therefore, in order to directly meet the essential needs of enterprise-level productivity, Laplace has released a new generation of AI-native intelligent productivity operation platform, Laplace AI Lab. Different from the AI agent tools on the market, it reduces the user's learning cost through the unified entrance of natural language communication, and reduces the user's use cost through the invocation of non-inductive tools and the accumulation of experience process. At the same time, Laplace AI Lab is compatible with both traditional work applications and AI applications from the community or privatization. The Laplace AI Lab also supports team collaboration and process intelligence sharing, improving the efficiency of team collaboration within the organization. In different application scenarios, Laplace AI lab flexibly switches roles to take on various types of work, improving the efficiency and productivity of the entire organization.
Build an AI OS to connect traditional applications and AI applications to achieve one-stop operations
The Laplace AI Lab focuses on three core concepts:
Building an AI OS system: Laplace takes the creation of an AI OS system as a solution, and integrates a variety of applications in the Laplace AI Lab, so that AI can think about how to call different applications to complete tasks, instead of implanting AI tools into traditional SaaS and RPA. This concept also allows users to adopt a more native interaction method when using Laplace AI Lab, reducing the user's use cost.
Integration and interconnection: The more AI application tools are integrated, the richer the scenarios they can complete. For example, after the AI helps generate copy, it needs to use the copywriting to dub, and then the video needs to be edited and processed after the dubbing, and finally different versions of the video format are generated and posted on social media. These scenarios, which call multiple different applications, can be operated in one stop in the Laplace AI Lab, eliminating the need to switch operation interfaces frequently.
Collaboration and sharing: As a productivity tool, its self-developed Laplace Decision Engine (Laplace Decision Engine) is the core of the platform, integrating the intelligent toolbox, large knowledge model (LKHM) and AIPI interface, through the multi-core driven "process execution-experience precipitation" flywheel, optimizing task execution and experience precipitation, all task processes and experiences will be stored in the enterprise intelligent knowledge base for employees to collaborate and share, significantly improving the efficiency of enterprise decision-making.
Founded 9 months ago, it has achieved a number of commercial scenarios
Founded in July 2023, the company has released the first version of its product in October 2023. Based on the previous generation, the Freedom version has more flexible tool compatibility capabilities, a more intelligent user experience, and a complete intelligent knowledge base system and intelligent toolbox. At the same time, a number of specific commercial application scenarios have been implemented.
For example, Laplace AI worked with a well-known outdoor brand operation client to create an AI designer for brand clothing, and analyzed the current fashion trends and needs by combining the brand direction of previous years, so as to generate a concept design and send reports and distribute them to media channels. The efficiency of product concept design has been improved by 10 times, and the design-to-production cycle has been shortened from 3 months to 1 month.
In the field of R&D, Laplace AI has partnered with well-known biologics customers to create cosmetic AI formulators, give formula solutions according to product needs, make intelligent formula corrections based on feedback and test results, and finally send confirmed formulas to the upstream and downstream of production. With the addition of the Laplace AI formulator, the recipe commissioning process was shortened by two-thirds.
Members of top universities at home and abroad were selected for the Google Microsoft Startup Program
Strong product research and development capabilities and technological innovation are inseparable from the support of a professional team, it is understood that the existing members of the Laplace team are from top universities at home and abroad, the founder and CEO Dr. Yi Guanxi graduated from UCLA, and has made achievements in machine learning, natural language processing, game theory, economic and financial models and other professional fields. Co-founder CTO Gu Shide graduated from New York University and served as a senior back-end engineer at Linkedin (LinkedIn), responsible for back-end system development, AI applications, data migration and maintenance, etc. The company's chief consultant, Professor He Lei, is a tenured professor at UCLA and an IEEE Fellow.
Although it has only been established for about a year, the company has won a number of team and product honors, and at present, Laplace AI has become a member of the Shanghai Society for the Integration and Development of Science and Technology and Economy and an AI intelligent consultant. In 2023, he was selected for the Google Next Startup Program and the Microsoft Startup Program. It is reported that Laplace has been invited to participate in the innovation incubation zone of the Shanghai International Import Expo in November this year to showcase its intelligent solutions.
"WITH THE RAPID DEVELOPMENT OF GENERATIVE ARTIFICIAL INTELLIGENCE, AI AGENT, AS THE CORE OF INTELLIGENT PRODUCTIVITY, UNDOUBTEDLY HAS BROAD AND FAR-REACHING DEVELOPMENT PROSPECTS, AND WILL SERVE AS A VIRTUAL PRODUCTIVITY IN THE FUTURE TO PROMOTE THE COMPREHENSIVE INTELLIGENT UPGRADE OF THE INDUSTRY," SAID YI. In the future, the more AI-native AI agent service should be a more advanced application service that is separate from the current SaaS or PaaS services. Laplace AI also positions itself as a business intelligence partner for enterprises and organizations, and works with ecosystem partners and customers to explore the possibilities of business intelligence. In the coming time, Laplace AI will cover more industries and use cases and handle more complex tasks. Through close cooperation with partners, Laplace AI Lab can improve enterprise productivity for enterprises more intelligently, efficiently and humanely, and jointly lead the innovation and progress of intelligent productivity tools. ”
Zhao Chen, Executive Vice President of Plug and Play China Partners, said: "Plug and Play China has always been at the forefront of technology investment, and recently focused on artificial intelligence-related applications, and collaborated with the Haidian District Government to build an artificial intelligence industry demonstration ecology.
Rong Yiqiang, executive deputy general manager of Kunshan Industrial Technology Research Institute, said: Kunshan has been at the forefront of industrial upgrading and advanced industrial layout in the past 30 years, and Kunshan Industrial Research Institute has played an important role in the introduction of advanced technology as an important state-owned enterprise platform in Kunshan. Laplace AI has chosen to take root in Kunshan, which shows our trust in Kunshan's business environment, and we will fully support the company's development and create a business card for the implementation of the artificial intelligence industry."