Fremont, California-based Anyware Robotics today said it had emerged from stealth mode to unveil its AI-powered robotic solution, Pixmo, for container and truck unloading. Founded in January 2023, the firm raised $5 million in seed capital in March 2023, and is now raising another round of funding to accelerate the rollout.
The Pixmo product is designed for a market that the firm says includes the estimated 28 million containers per year that enter the U.S. with contents, usually boxes, that need to be unloaded. The firm says its robots enable companies to ease the heavy burden on human workers who currently unload those items, autonomously unloading boxes in containers and trucks more safely, cost-effectively, reliably, and quickly than humans can, while avoiding work-related injuries.
The device combines an autonomous mobile robot (AMR) base, a cobot arm with six degrees of freedom, vacuum-powered end effector designed for case handling, and AI-powered perception and motion planning systems, all mounted on a mobile base that has the footprint of a warehouse pallet.
Anyware Robotics is currently running pilot programs of Pixmo with various companies in the U.S. They recently completed their first pilot with an import deconsolidation business that manages 21 warehouses, and have multiple upcoming pilots, including one with a global third-party logistics provider (3PL). The autonomous mobile Pixmo robots are designed for installation at transload facilities, cross docks, 3PLs, distribution centers, and e-commerce fulfillment warehouses.
Other recent truck-unloading robots that have hit this sector in recent years include platforms from Boston Dynamics, Pickle Robot Co., Mujin, and Dexterity.
The New Hampshire-based cargo terminal orchestration technology vendor Lynxis LLC today said it has acquired Tedivo LLC, a provider of software to visualize and streamline vessel operations at marine terminals.
According to Lynxis, the deal strengthens its digitalization offerings for the global maritime industry, empowering shipping lines and terminal operators to drastically reduce vessel departure delays, mis-stowed containers and unsafe stowage conditions aboard cargo ships.
Terms of the deal were not disclosed.
More specifically, the move will enable key stakeholders to simplify stowage planning, improve data visualization, and optimize vessel operations to reduce costly delays, Lynxis CEO Larry Cuddy Jr. said in a release.
German third party logistics provider (3PL) Arvato has agreed to acquire ATC Computer Transport & Logistics, an Irish company that provides specialized transport, logistics, and technical services for hyperscale data center operators, high-tech freight forwarders, and original equipment manufacturers, the company said today.
The acquisition aims to unlock new opportunities in the rapidly expanding data center services market by combining the complementary strengths of both companies.
According to Arvato, the merger will create a comprehensive portfolio of solutions for the entire data center lifecycle. ATC Computer Transport & Logistics brings a robust European network covering the major data center hubs, while Arvato expands this through its extensive global footprint.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."
The Dutch ship building company Concordia Damen has worked with four partner firms to build two specialized vessels that will serve the offshore wind industry by transporting large, and ever growing, wind turbine components, the company said today.
The first ship, Rotra Horizon, launched yesterday at Jiangsu Zhenjiang Shipyard, and its sister ship, Rotra Futura, is expected to be delivered to client Amasus in 2025. The project involved a five-way collaboration between Concordia Damen and Amasus, deugro Danmark, Siemens Gamesa, and DEKC Maritime.
The design of the 550-foot Rotra Futura and Rotra Horizon builds on the previous vessels Rotra Mare and Rotra Vente, which were also developed by Concordia Damen, and have been operating since 2016. However, the new vessels are equipped for the latest generation of wind turbine components, which are becoming larger and heavier. They can handle that increased load with a Roll-On/Roll-Off (RO/RO) design, specialized ramps, and three Liebherr cranes, allowing turbine blades to be stowed in three tiers, providing greater flexibility in loading methods and cargo configurations.
“For the Rotra Futura and Rotra Horizon, we, along with our partners, have focused extensively on energy savings and an environmentally friendly design,” Concordia Damen Managing Director Chris Kornet said in a release. “The aerodynamic and hydro-optimized hull design, combined with a special low-resistance coating, contributes to lower fuel consumption. Furthermore, the vessels are equipped with an advanced Wärtsilä main engine, which consumes 15 percent less fuel and has a smaller CO₂ emission footprint than current standards.”
A growing number of organizations are identifying ways to use GenAI to streamline their operations and accelerate innovation, using that new automation and efficiency to cut costs, carry out tasks faster and more accurately, and foster the creation of new products and services for additional revenue streams. That was the conclusion from ISG’s “2024 ISG Provider Lens global Generative AI Services” report.
The most rapid development of enterprise GenAI projects today is happening on text-based applications, primarily due to relatively simple interfaces, rapid ROI, and broad usefulness. Companies have been especially aggressive in implementing chatbots powered by large language models (LLMs), which can provide personalized assistance, customer support, and automated communication on a massive scale, ISG said.
However, most organizations have yet to tap GenAI’s potential for applications based on images, audio, video and data, the report says. Multimodal GenAI is still evolving toward mainstream adoption, but use cases are rapidly emerging, and with ongoing advances in neural networks and deep learning, they are expected to become highly integrated and sophisticated soon.
Future GenAI projects will also be more customized, as the sector sees a major shift from fine-tuning of LLMs to smaller models that serve specific industries, such as healthcare, finance, and manufacturing, ISG says. Enterprises and service providers increasingly recognize that customized, domain-specific AI models offer significant advantages in terms of cost, scalability, and performance. Customized GenAI can also deliver on demands like the need for privacy and security, specialization of tasks, and integration of AI into existing operations.