ModelBest 面壁智能
"AGI for Lives - 智周万物"
ModelBest is a Beijing AI company whose MiniCPM edge-side language models run on-device in Samsung Galaxy AI and automotive cockpit systems.
ModelBest is a Beijing-based artificial intelligence company that develops efficient, edge-deployable large language models. The company is headquartered at Tsinghua Science Park, Building 3F, in Haidian District, Beijing. Its flagship product line is the MiniCPM series, a family of compact foundation models designed to run directly on smartphones, PCs, vehicles, and other resource-constrained devices rather than requiring cloud GPU clusters.
The series spans multiple parameter sizes, including MiniCPM 1.2B, 2.4B, and 4B variants, alongside multimodal extensions: MiniCPM-V, which processes video, images, and text together, and MiniCPM-o, which supports real-time streaming multimodal interaction combining speech, vision, and language in a single end-to-end model.
According to company material and industry reporting, MiniCPM models have been integrated into Samsung Galaxy AI features and into automotive cockpit and driving-assistance systems, reflecting a focus on on-device inference where latency, privacy, and power consumption matter as much as raw model scale. Beyond the core model series, ModelBest has built vertical applications on top of its foundation models. Lantai Ling is a legal-AI expert system composed of 18 specialized agents intended to support legal research, drafting, and case analysis. Pinea is positioned as an end-side intelligent assistant, and the company also develops GUI Agent technology that allows a model to perceive and operate graphical interfaces autonomously, completing multi-step tasks the way a human user would.
ModelBest maintains an open-source presence, publishing model weights and tooling under the OpenBMB organization on GitHub and Hugging Face, which has made MiniCPM one of the more widely downloaded Chinese-origin open model families for on-device deployment. In mid-2026, the company was reported to have raised RMB 5 billion in a funding round that brought its valuation to approximately USD 2.8 billion, reflecting investor interest in efficient, deployable AI as an alternative to purely cloud-hosted large models. The company's stated vision, expressed as "intelligence serves all things," centers on making capable AI accessible across many device types and industries rather than concentrated in a small number of hyperscale data centers.
Target customers span consumer electronics makers embedding on-device assistants, automotive OEMs building cockpit and driver-assistance software, and enterprises seeking domain-specific agents such as legal research tools. Contact channels published on the company website are segmented by function, including dedicated addresses for business development, media relations, investor relations, and recruitment, indicating operations at meaningful commercial scale. The exact founding year and headcount were not confirmed from the sources reviewed and are left blank rather than estimated.
Primary type & automation activities this supplier delivers:
MiniCPM4-8B
- Model: MiniCPM4-8B
- Launch Year: 2025
8B-parameter edge LLM with 32K native context (to 131K via LongRoPE), sparse attention, and up to 7x faster decoding than Qwen3-8B on-device.
MiniCPM-o 2.6
- Model: MiniCPM-o-2_6
- Launch Year: 2025
8B-parameter end-to-end multimodal model for real-time vision, speech, and text streaming with bilingual live voice conversation.
Contact ModelBest
WEBSITE
https://www.modelbest.cn/HEADQUARTERS
China
Company Facts
Founded
2022
Primary Role
Software/Algorithm
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
-
U.S. Nuclear Power Plants Embrace AI Integration for Operational Efficiency
The U.S. nuclear power sector is increasingly adopting AI technologies to enhance operational efficiency. Nearly all of the 94 nuclear reactors in the U.S. have been offered AI integration, with many accepting the opportunity. Atomic Canyon's NIVA, a virtual assistant for the nuclear industry, is now available across the fleet, while Nuclearn's products are utilized by over 65 partners, addressing workforce challenges and regulatory complexities. The integration of AI is crucial for the nuclear industry, which faces an aging workforce and hardware. According to Nuclearn CFO Jerrold Vincent, AI can help manage intricate regulations and streamline documentation processes, essential for regulatory compliance. The collaboration between technology firms and the nuclear sector aims to revitalize nuclear power, which is seen as vital for meeting the growing electricity demands of data centers. Looking ahead, the nuclear industry must navigate public perception challenges while leveraging AI to enhance operational capabilities. As the demand for advanced reactors increases, the successful integration of AI will be pivotal for the industry's future. No further timeline was disclosed at the time of publication.
Nuclear-power Artificial-intelligence Epri
iiQKA.AI Vision Enhances Industrial Image Processing with User-Friendly Interface
iiQKA.AI Vision has introduced a standalone vision application within iiQWorks, designed to simplify industrial image processing. This application features a graphical user interface that allows users to implement vision applications efficiently, utilizing drag-and-drop functionality, pre-built templates, and guided workflows from setup to commissioning. The significance of this development lies in its ability to ensure process reliability through robust image processing capabilities, including precise 2D and 3D object recognition, automatic position determination, and gripper point calculation. The system is designed to perform reliably under varying component conditions and changing lighting, making it suitable for diverse industrial applications. Looking ahead, the seamless integration of iiQKA.AI Vision with iiQWorks and the robot controller facilitates a unified system from engineering to operation. This integration supports a consistent workflow from configuration to deployment, along with centralized management and monitoring via a web interface. No further timeline was disclosed at the time of publication.
First Coordinated Drilling Robot Achieves 10x Speed and 99% Accuracy
A groundbreaking drilling robot has been developed, showcasing the ability to perform coordinated operations with a speed ten times greater than traditional methods and an accuracy rate exceeding 99%. This innovation marks a significant advancement in drilling technology, potentially transforming various industrial applications. The introduction of this robot is crucial as it addresses the limitations of conventional drilling techniques, which often suffer from slower speeds and lower precision. By enhancing operational efficiency, this technology could lead to cost savings and improved outcomes in sectors that rely on drilling processes. Looking ahead, industry stakeholders should monitor the deployment and performance of this drilling robot in real-world scenarios. No further timeline was disclosed at the time of publication.
Robotics Automation AI
IROS 2026 Best Paper Finalists: South Korea Leads
Ten papers made the IROS 2026 Best Paper and Best Student Paper shortlist, four from South Korea. What each one does and what it means for industry.
Harmonic Drive to Present on Integrated Actuators at RoboBusiness 2026
At RoboBusiness 2026, Marcel Almonte from Harmonic Drive will lead a session on integrated drive actuator design. Scheduled for October 20 at 10:30 a.m. PT in Santa Clara, California, the session will explore the benefits of integrated actuators in reducing engineering complexity and enhancing system performance. This presentation is significant as it addresses the critical decision-making process in selecting motion architectures for robotics. Attendees will learn how integrated actuators can streamline system integration, reduce cabling complexity, and accelerate time-to-market, ultimately leading to more efficient robotic designs. Participants should watch for practical insights on selecting motion solutions tailored to specific application requirements and constraints. No further timeline was disclosed at the time of publication.
Actuators / Motors / Servos Events Motion Control News Robot Components Technologies
Elmo Motion Control Introduces Innovative Titanium and Platinum Servo Solutions
Elmo Motion Control has unveiled its latest innovations, the Titanium multi-axis motion controller family and the Platinum servo drive series. These products integrate multi-axis control, high computing power, and functional safety into a compact design, enabling machine builders to enhance performance while minimizing component complexity. This development is significant as it addresses the growing demands in sectors like semiconductors, robotics, medical devices, and defense, where traditional machine designs often rely on multiple controllers and external safety systems. Elmo's integrated approach allows for smaller, faster, and safer machines, ultimately reducing the total cost of ownership for OEMs. Looking ahead, the focus will be on how these advancements can further streamline installation and commissioning processes, particularly with the introduction of Elmo’s Application Studio III (EASIII). No further timeline was disclosed at the time of publication.
IEEE CASE 2027 Linz: Aug 23–27 | Automation Science
IEEE CASE 2027, the 23rd Conference on Automation Science and Engineering, runs Aug 23–27, 2027 in Linz, Austria. Chairs, deadline and scope.
Transforming Industrial Maintenance: The Role of Agentic and Physical AI in Repair Efficiency
The industrial sector has long relied on predictive maintenance to foresee equipment failures, but this approach often leads to administrative bottlenecks. Alerts generated by AI models trigger slow, manual processes that hinder timely repairs. To overcome these challenges, industries are shifting towards a model that incorporates agentic AI and physical AI, enabling autonomous orchestration of logistics and execution of repairs. Agentic AI allows for the autonomous management of maintenance tasks, optimizing scheduling and logistics without human intervention. This transition is crucial for enhancing operational efficiency, as it transforms maintenance from a reactive process into a self-optimizing engine. For instance, in high-volume manufacturing, agentic AI can immediately address issues flagged by predictive models, significantly reducing downtime and improving return on investment. Looking ahead, the integration of agentic and physical AI is set to redefine maintenance operations. As organizations adopt these technologies, they must ensure safety through deterministic bounding to mitigate risks associated with autonomous decision-making. The future of industrial maintenance will likely see a seamless blend of AI-driven logistics and physical execution, paving the way for more efficient and effective repair processes.
Factory / Analytics
Exploring Custom Motor Solutions and Advanced Motion Control Technologies
Mosrac Motor Co., Ltd. specializes in custom frameless motor solutions tailored to various applications, focusing on torque, voltage, size, structure, and materials. Their engineers collaborate with clients to design motors that meet specific requirements, making Mosrac a reliable partner for high-performance motors. The H-811.I2HS hexapod from PI USA (Physik Instrumente) offers six-axis motion and high dynamics, ideal for precision applications in photonics, optics, and automation. This compact system features patented overload protection, ensuring reliability during operation and setup, which is crucial for demanding environments. Additionally, KNF vacuum pumps and Harmonic Drive's miniature speed reducers are highlighted for their durability and precision in automation applications. With innovations in motor technology and control solutions, companies like MMP Inc. and Elmo Motion Control Inc. are pushing the boundaries of performance and efficiency in robotics and automation systems. No further timeline was disclosed at the time of publication.
Automation Solutions for the Future of Sheet Metal Processing
The increasing variety of parts, shorter cycle times, and a shortage of skilled labor are intensifying the demand for automation in sheet metal processing. Schmalz addresses this need with a comprehensive portfolio of end-of-arm tooling (EOAT) and handling solutions, including vacuum grippers and gripping systems, as well as intelligent complete solutions for automated processes. This shift towards automation is crucial as manufacturers seek to enhance efficiency and productivity in response to market demands. The ability to quickly adapt to diverse production requirements while maintaining quality is essential for competitiveness in the sheet metal industry. Looking ahead, the focus will be on how companies like Schmalz continue to innovate and provide solutions that meet the evolving challenges in sheet metal processing. No further timeline was disclosed at the time of publication.
Allgemein
ROSCon Korea 2027: Feb 17–19 at DGIST, Daegu
ROSCon Korea 2027, Korea's official ROS developer conference, runs Feb 17–19, 2027 at DGIST in Daegu, after a sold-out 2026 debut.
Tuning the Brain Like a Radio: Synapse Symphony’s Plan to Treat Chronic Pain at Home
COO Vishal Jain on Synapse Symphony's DARPA-rooted wearable brain-stimulation headset for chronic pain, its FDA plans, and a second use: motor-health checks.
RobotToday Weekly September 21 – 25, 2026
Cognex buys RealSense, Qualcomm acquires PickNik, the IFR counts 5 million factory robots, AGIBOT deploys 300 robots at Chimelong, and Tekever raises $580 million.
Glacian: Physics Model Vets AI Data Center Cooling
Glacian Technologies pairs AI with a physics-based digital twin that rejects unsafe commands. CEO Jie Zhao on cutting data center cooling energy 15-30%.
Siemens on Robots, Agentic AI and the "Last 3%" Problem
Siemens tells RobotToday at IMTS 2026 why AI robot demos are only the tip of the iceberg, and why agentic AI depends on PLM data and business context.
OpenBMB and ModelBest Launch MiniCPM5-2B, a 2.52B Open On-Device Model
OpenBMB and ModelBest have unveiled MiniCPM5-2B, a 2.52 billion parameter dense model licensed under Apache-2.0. This model achieves an impressive average score of 53.9 across 34 benchmarks, outperforming several 4 billion parameter open baselines in areas such as coding and long context tasks. The introduction of MiniCPM5-2B is significant as it demonstrates the capability of smaller models to compete with larger counterparts, particularly in coding and tool-related tasks. This advancement could lead to more efficient on-device applications, making powerful AI tools accessible without the need for extensive computational resources. Looking ahead, the performance of MiniCPM5-2B in practical applications will be crucial to monitor. Its ability to maintain high performance while being lightweight could influence future developments in on-device AI models. No further timeline was disclosed at the time of publication.
China’s Dexterous Hand Industry, 2026 Part 3 — The Players
Five vendor archetypes, MIR’s composite top ten, eight company profiles and six field deployments — every firm linked to the RobotToday supplier directory.
ModelBest Achieves $2.8B Valuation Following MiniCPM Success with Galaxy AI
ModelBest has raised 5 billion RMB in the first half of 2026, establishing itself as a leading edge AI unicorn. The company's MiniCPM models are currently powering Samsung Galaxy AI and various automotive applications. This significant funding round highlights the growing importance of edge AI technologies in the market, particularly as companies seek to enhance their AI capabilities in consumer electronics and automotive sectors. ModelBest's success with MiniCPM models demonstrates the potential for edge AI solutions to drive innovation and efficiency. Looking ahead, stakeholders should monitor ModelBest's continued advancements in edge AI and the impact of its MiniCPM models on future deployments. No further timeline was disclosed at the time of publication.
Startups
Physical AI Landscape: From Digital Intelligence to the Embodied Physical World
A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
Supply Chain Reckoning: Can Boston Dynamics Avoid Becoming the Next iRobot?
A data-driven analysis comparing Boston Dynamics Atlas and Tesla Optimus supply chain strategies in 2026. Examines actuator costs, production ramp speeds, and how Boston Dynamics can avoid iRobot's bankruptcy by adopting a tiered supply chain approach. Includes component cost tables, risk heat maps, and strategic frameworks.
