Think Artificial
AI automation platform helping businesses deploy chatbots, workflow automation, document AI, and predictive analytics solutions.
Think Artificial is an AI automation platform designed to help modern businesses deploy intelligent solutions across customer engagement, operations, and data workflows. The platform offers a suite of services including custom AI chatbots, workflow automation, document AI for data extraction and processing, sales intelligence tools, and predictive analytics with automated reporting. The company claims to have implemented AI solutions for over 200 businesses and saved more than one million hours through automation.
Think Artificial's chatbot capabilities enable businesses to build conversational agents for customer service, lead capture, and inside sales, while its workflow automation tools connect and orchestrate tasks across CRM, ERP, marketing, and other SaaS platforms. Supported integrations include Salesforce, SAP, and Google Analytics, among others. The document AI module uses robotic process automation alongside machine learning to extract and validate structured data from invoices, contracts, and forms.
The platform is available through tiered subscription plans, including Pro and Enterprise tiers that provide dedicated account managers and priority support. Think Artificial also offers AI training workshops and strategic consulting to help organizations build internal competency alongside their deployments. The company targets industries including e-commerce, SaaS, and customer support operations.
Primary type & automation activities this supplier delivers:
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https://thinkartificial.devHEADQUARTERS
United Kingdom
Company Facts
Founded
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Primary Role
System Integrator
Company Size
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Primary Region
Europe
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Funding Stage
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Funding Total
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AIST and Forcesteed Robotics Collaborate on Safety of Indoor Delivery Robots with Physical AI
The National Institute of Advanced Industrial Science and Technology (AIST) and Forcesteed Robotics have conducted joint research on the safety of indoor delivery robots equipped with Physical AI, focusing on risk assessment and mitigation strategies. The findings will be presented in a paper titled "Risk Extraction and Mitigation Strategies for Indoor Delivery Robots with Physical AI Using Generative AI" at the Robotics Society of Japan on September 3, 2026. This research is significant as it addresses the increasing reliance on Physical AI in environments where humans and robots coexist, such as restaurants and commercial facilities. The study emphasizes the importance of accurately recognizing surroundings and making timely decisions to ensure safety, particularly in dynamic settings where human movement and object placement are constantly changing. Looking ahead, AIST and Forcesteed Robotics plan to further investigate recovery times during anomalies, human behavior prediction, and the reliability of recognition results based on insights gained from this research. The focus on ensuring the safe operation of robots equipped with Generative AI in real service environments will be a key area of interest in future presentations.
Xiaomi Reveals Hidden 60-Micron 'OK' Gesture in Xring O3 Chip
Xiaomi's founder, Lei Jun, disclosed a unique feature of the Xring O3 chip, showcasing a microscopic 'OK' hand gesture etched into the silicon. This detail, measuring only 60 micrometers, symbolizes the message 'everything is OK.' The Xring O3 was introduced on August 24 as Xiaomi's premier AI smartphone system-on-chip (SoC). The significance of this revelation lies in the Xring O3's impressive capabilities, as it is the first flagship mobile chip to achieve over 5 million points on AnTuTu. It features a 10-core all-performance CPU and a neural processing unit (NPU) capable of 200 TOPS, specifically designed for Xiaomi's MiMo on-device AI model, marking a significant advancement in mobile chip technology. Looking ahead, the Xring O3 is expected to enhance the performance of Xiaomi's upcoming smartphones, potentially setting new benchmarks in the industry. No further timeline was disclosed at the time of publication.
News Feed
Dreame Technology Refines Focus on Four Key Business Areas
Dreame Technology has announced a strategic adjustment to its business operations, narrowing its focus to four primary areas: smart homes, outdoor yard care, smart mobility, and embodied AI. This decision comes as the company aims to streamline its efforts and enhance stability in its main operations. The shift in focus is significant as it allows Dreame to allocate resources more effectively towards core technology, product development, manufacturing, and expanding its presence in overseas markets. By concentrating on these key sectors, the company aims to strengthen its competitive edge in the rapidly evolving technology landscape. Looking ahead, it will be important to monitor how Dreame Technology implements this refined strategy and the impact it has on its market positioning. No further timeline was disclosed at the time of publication.
News Feed
Europe's Robotics Challenge: Should It Develop Its Own 'Airbus of Robots'?
Europe has established itself with leaders like Airbus in aerospace and has a strong presence in various industries. However, as robotics evolves, the question arises: who will manufacture the robots that will work in factories, warehouses, hospitals, and potentially homes in the future? With advancements in AI, computer vision, and sensors, robots are becoming more versatile, moving beyond strictly industrial applications. This shift is significant as robots are transitioning from being solely industrial investments to becoming a new form of workforce. The U.S. is heavily investing in AI and robotics, particularly in humanoids and Physical AI, while China leverages its robust supply chain to dominate the industrial robotics landscape. The competition is not just about showcasing impressive humanoids but mastering the entire value chain, including components, manufacturing, software, and maintenance. Europe is not absent from the robotics scene, boasting recognized manufacturers, excellent laboratories, and specialized companies. Its substantial industrial base across sectors like automotive, aerospace, logistics, energy, healthcare, and food can serve as real-world testing grounds for the next generation of robots. No further timeline was disclosed at the time of publication.
À la une Humanoide IA Robotique Airbus des robots AMR
2026 WRC Highlights Robotics Industry's Shift Towards Data-Driven Intelligence
The 2026 World Robot Conference (WRC) opened in Beijing on August 19, showcasing over 2,000 exhibits from more than 300 companies, including 150 new products. Notable demonstrations included TianGong Omni's pole walking and Yaskawa's cable assembly robots. However, the event highlighted a critical shortage of high-quality training data for robots, with only 22 types of embodiments and over one million real trajectories available publicly. The significance of this shortage lies in the growing demand for robots to prove their capabilities through real-world experience rather than mere demonstrations. The conference emphasized the importance of data-driven embodied intelligence, marking 2026 as a pivotal year for this sector. Companies are increasingly focusing on gathering extensive human behavior data, with Lightwheel Intelligent and JD.com leading efforts to collect millions of hours of data to enhance robotic training. Looking ahead, the robotics industry is witnessing a shift towards creating a robust data ecosystem to support robotic learning. The emergence of companies like Mifeng Technology, which showcased its MEgo Gripper and MEgo View, reflects a trend towards data collection without traditional robotic embodiments. No further timeline was disclosed at the time of publication.
Robotics Data-Driven Intelligence AI Training Industrial Automation
Galaxy Corporation Envisions Robot Idols as Future K-pop Superstars
Galaxy Corporation is pioneering the integration of physical AI into South Korea's entertainment sector, aiming to create the next generation of K-pop idols. This innovative approach could redefine celebrity culture and fan engagement in the music industry. The significance of this development lies in the potential for robot idols to attract a new audience and reshape the dynamics of K-pop fandom. By leveraging advanced AI technologies, Galaxy Corporation is positioning itself at the forefront of a transformative trend within the entertainment landscape. As the industry evolves, observers should monitor Galaxy Corporation's progress and the public's reception of robot idols. The success of this initiative could influence future investments and innovations in the entertainment sector. No further timeline was disclosed at the time of publication.
Shutu Technology Completes Two Funding Rounds to Enhance Embodied Intelligence Infrastructure
Shutu Technology has successfully completed nearly 100 million yuan in angel funding, with investors including cornerstone capital and Nanshan New Investment. The funds will primarily support the development of human behavior data products, core technology iterations, and the establishment of an industrial production system. The significance of this funding lies in the shift of focus within the embodied intelligence industry from models and robots to data production, training adaptation, and large-scale delivery. As embodied intelligence transitions from task demonstrations to product delivery, the demand for data is evolving, necessitating continuous and stable data products that can adapt to various models and tasks. Shutu Technology aims to convert specialized human behavior into learnable physical experiences for robots, creating a product matrix that covers multiple forms of human behavior data. Following this funding round, the company plans to enhance production and delivery efficiency while continuing to develop core technologies and industrial production systems. No further timeline was disclosed at the time of publication.
Embodied Intelligence Human Behavior Data Industrial Automation Robotics AI
The Role of LiDAR in Enhancing Safety for DJI Drones
DJI has integrated LiDAR technology into its latest consumer drones, including the Air 3S, Mavic 4 Pro, Mini 5 Pro, and Neo 2, primarily to enhance flight safety. The Federal Communications Commission (FCC) has proposed new regulations that classify certain foreign-made drones with advanced technologies like LiDAR as 'military-grade,' raising concerns for DJI. LiDAR technology provides a significant advantage over traditional cameras, especially in low-light conditions. While cameras rely on ambient light to detect obstacles, LiDAR emits laser pulses to create a detailed map of the environment, allowing drones to navigate safely even at night. This capability is crucial for preventing crashes and ensuring safe returns during flights. As regulatory scrutiny increases, it will be important to monitor how these proposed rules impact DJI and its use of LiDAR technology. The focus on flight safety rather than military applications may shape future developments in drone technology and regulations. No further timeline was disclosed at the time of publication.
News
Star Catcher Industries and Aethero Partner to Enhance Space-Based Computing Power
Star Catcher Industries and Aethero have formed a partnership to enhance high-performance computing and AI capabilities in orbit by addressing power limitations. Aethero will utilize Star Catcher's upcoming orbital energy grid to access additional power on demand, enabling spacecraft to manage increased computing loads without extensive onboard energy systems. This collaboration is significant as it aims to support the growing demand for space-based data centers and content distribution networks, driven by the increasing volume of satellite-generated data. By processing data in orbit, the need for extensive ground communications is reduced, alleviating potential bottlenecks. Looking ahead, Aethero plans to deploy its NxA-ECM compute module during its Titan mission in October, which will facilitate advanced computing in low Earth orbit. Star Catcher's innovative power-beaming technology is expected to allow spacecraft to generate up to 10 times more power on demand, enhancing operational efficiency and expanding the capabilities of satellite missions. No further timeline was disclosed at the time of publication.
AI and Robotics Space
Tashan Technology Unveils Tactile Perception Loop for Enhanced Robotic Interaction Learning at WRC 2026
At the World Robotics Conference (WRC) 2026, tactile perception emerged as a focal point, highlighting its importance in robotic interaction. Tashan Technology showcased its tactile perception loop, addressing the limitations of visual imitation learning in complex industrial environments. The company aims to enhance robots' physical interaction capabilities by developing scalable tactile sensors that enable autonomous learning through real-time feedback. The significance of this development lies in its potential to overcome the challenges faced by robots in understanding physical interactions. Current reliance on visual data fails to capture the nuances of tactile feedback, leading to high failure rates in tasks involving unknown objects. Tashan Technology's approach seeks to fill this gap by providing robots with a tactile sensory system that allows them to independently comprehend and adapt to their physical surroundings. Looking ahead, Tashan Technology's advancements in tactile perception could revolutionize the robotics industry by enabling robots to perform tasks with greater accuracy and reliability. The company’s TS-F series sensors, capable of detecting various materials and providing high-resolution force feedback, represent a significant step towards achieving human-like tactile perception in robots. No further timeline was disclosed at the time of publication.
Tactile Perception Robotic Interaction Sensor Technology AI Robotics
Inside Saga Robotics: UVC Light vs. Crop Disease
Saga Robotics CPO Damian Flynn on the Thorvald platform's UVC treatment system, its jump from UK strawberries to California wine grapes, and why he's “incredibly bullish” on applying automation and robotics into industries “most chaotic environment.”
WAIC Review 3/4: What Scientists and Skeptics Really Think About Embodied AI: The Sober Voices at WAIC 2026
UCL and HKUST researchers, plus robotics CEOs, challenged embodied AI hype at WAIC 2026, citing generalization limits and no third-party evaluation standard.
The Most Important AI at WAIC Wasn't a Robot
At WAIC 2026, AI-native platforms quietly replaced interpreter hardware — what invisible AI infrastructure means for robotics and embodied AI.
WAIC 2026: Embodied Intelligence Enters Industrial Deployment Era
WAIC 2026 in Shanghai (July 17–20) saw 200+ embodied intelligence companies, 300+ live robots, and first confirmed humanoid deployments in logistics and pharmacy. RobotToday engineering analysis.
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.
AI Space Data Centers: Power the Next Generation of Robotics
From Starcloud's $170M Series A to Google's Project Suncatcher and China's operational LEO constellations, AI space data centers are moving from concept to infrastructure. Here's what the robotics industry needs to know.
China's Humanoid Robot & Embodied Intelligence Standard System (HEIS 2026)
China's HEIS 2026 framework — the world's first comprehensive national standard for humanoid robots and embodied AI — sets technical specs across six pillars covering AI models, components, safety, and ethics. Here's what every EU and North American robotics manufacturer, integrator, and policy maker needs to know, and why the international standards race is already underway.
When the Machine Knows Better: The Quiet Revolution Inside Manufacturing
The machine can already see what human inspectors miss. But inside manufacturing, the real fight isn't about technology — it's about who gets to decide. The union battle over Manufacturing Intelligence begins here.
Columbia's Emo: Solving Robot Face Problem
Columbia's Emo robot breakthrough reveals why facial biomimicry is robotics' second hardest challenge. Analysis of tech barriers and 2028-2030 timeline.
Is the NVIDIA-Siemens Partnership a Trojan Horse?
Media hailed it as a landmark alliance. But flip the view: it resembles a Trojan Horse. Siemens gains compute and world-model access; NVIDIA quietly secures control over industrial training data, model iteration, and world representation.
