Connect with us

Technology

rabbit r1, the Consumer AI-native Pocket Companion, Expands Availability Across the UK and European Union

Published

2 years ago

on

New r1 orders globally are now shipping within three business days

SANTA MONICA, Calif., Aug. 13, 2024 /PRNewswire/ — Today, AI startup rabbit inc. announced that r1, a first-of-its-kind AI-native device that puts easy access to the industry’s most advanced consumer AI models in your pocket, is now available across the European Union and the United Kingdom. In addition, rabbit announced that all new r1 orders globally will ship within three business days. 

r1 is rabbit’s first hardware product and has made waves in the consumer electronics industry as the best-selling and most-used native AI device to-date, with more than 100,000 devices sold. One-third of r1 devices sold to-date have been purchased in Europe. Customers have discovered a wide variety of helpful use cases to improve their daily lives with AI, from deciphering complicated parking and road signs, and getting important gardening tips using the AI-powered rabbit eye camera, to translating conversations in real-time and generating healthy recipe ideas with access to leading large language models (LLMs).

r1, rabbit OS and rabbithole – a personalized AI agent experience from end to end

Running on a personalized operating system, r1 is the only consumer AI device that gives users quick and affordable access to the leading AI models in one device, including LLMs from ChatGPT, Perplexity, and Anthropic. Combining custom-built software with sleek hardware designed in collaboration with renowned design firm Teenage Engineering, r1 is an on-the-go curiosity catcher, a journal you write with your voice, an encyclopedia at your fingertips, a recorder that summarizes your every thought, a pocket translator, and a reason to bring friends and family together. Each user can manage their personalized history and supported online services in rabbithole, the accompanying secure cloud hub and “brain” of the user’s personal AI assistant. Take a look at our use cases to learn more about how r1 offers a new and useful AI-native experience. 

Commitment to constant improvement for a better user experience

Since launching r1, rabbit has demonstrated its community-focused approach to ensure a fast feedback loop between its consumers and engineers, continuously and rapidly improving and adding more value to r1 through regular software updates based on user feedback. The new “beta rabbit” feature, introduced in July, enables r1 to provide significantly smarter answers to more complex queries. A number of other key updates have also made r1 more useful and delightful, including global memory recall, which personalizes responses in relation to a user’s rabbithole journal content; Wolfram|Alpha integration, which provides users with increased accuracy in computational queries related to mathematics, science, technology, society, and culture; and Magic Camera, which turns photos taken by r1 into creative AI-generated images. While there are currently some regional limitations in Europe, including availability of certain connected apps and additional operating languages, the product is vastly more capable than it was at launch, with new improvements and features added through regular over-the-air (OTA) and cloud updates. This cadence will also apply to Europe as the team continues to listen to feedback and rapidly apply it to the user experience. 

“r1 was designed from day one to be a global device, and we want to deliver it to every corner of the world,” said Jesse Lyu, Founder and CEO of rabbit. “We’re very encouraged to see the existing appetite for r1 in Europe already as we pave the way in this new category of AI-native products.”

Built around security from day 1 and constantly becoming stronger 

rabbit designed the architecture of rabbit OS with security and privacy at the core. “The most important thing we do at rabbit is earn and protect customer trust. This is something that everyone, not just the security team, is charged with when they join the company,” said Matt Domko, Head of Security at rabbit. “We’re actively taking steps to consistently improve our security program on a daily basis.”

To keep up with the fast pace of rabbit’s software updates and growing set of consumer use cases, rabbit regularly works with credible third-party security partners to test the resilience of its system and ensure consumers’ privacy and information security are effectively protected. Learn more about the company’s recent penetration test in this blog post.

r1 only listens when the user presses the physical push-to-talk button to interact with the device, and its rotating camera defaults to a position that physically blocks the lens unless the user explicitly requests it. rabbit also implemented a vulnerability disclosure program (VDP) in May to encourage researchers, developers, and the general public to submit vulnerabilities in a responsible manner.

rabbit r1 is available today across the entire European Union (excluding Malta) and can be purchased at www.rabbit.tech. It costs $199 with no subscription necessary; please refer to the website for current local prices in the UK and Europe. New orders globally will also be processed and shipped within three business days. 

About rabbit

rabbit inc. is an AI startup developing a personalized operating system (OS) through a natural language interface and dedicated, affordable consumer hardware to host the OS. The OS, called rabbit OS, is capable of understanding complex user intentions, operating user interfaces, and performing actions on behalf of the user.

The company is headquartered in Santa Monica, California, and was founded by a group of researchers, engineers, and repeat entrepreneurs with extensive experience in shipping AI hardware products and operating high-performance computing (HPC) clusters to train large AI models. A two-time Y Combinator alumnus, rabbit’s Founder and CEO, Jesse Lyu, previously founded Raven Tech, a startup that pioneered conversational AI operating systems. rabbit raised over $59m in funding to date from investors including Khosla Ventures, Sound Ventures, and Synergis Capital.

View original content:https://www.prnewswire.co.uk/news-releases/rabbit-r1-the-consumer-ai-native-pocket-companion-expands-availability-across-the-uk-and-european-union-302220787.html

Related Topics:
Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

Published

52 minutes ago

on

July 24, 2026

By

A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

Logo – https://mma.prnewswire.com/media/3007577/JAMS_logo.jpg
Photo – https://mma.prnewswire.com/media/3007578/jams_jax_ai_agent_job_scheduling_1.jpg
Photo – https://mma.prnewswire.com/media/3007579/jams_jax_mcp_ai_control_model.jpg
Photo – https://mma.prnewswire.com/media/3007580/jams_mcp_ai_connector_claude_cursor.jpg

View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

Continue Reading

Technology

Video: CNPC offers green chemical answer

Published

52 minutes ago

on

July 24, 2026

By

BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

Continue Reading

Technology

Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

Published

52 minutes ago

on

July 24, 2026

By

Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

Continue Reading

Trending