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TrueLayer Hits 10 Million Consumers, Acquiring a New User Every 3 Seconds

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“The past few months have been a tipping point for the adoption of Pay by Bank by merchants and consumers…”, said Francesco Simoneschi, Co-Founder and CEO of TrueLayer.TrueLayer processes almost half (40%) of all Pay by Bank payments in the UK, making it the largest Pay by Bank network in the UK.Ecommerce is the fastest growing sector for adoption of Pay by Bank, with TrueLayer experiencing a 5X year-on-year increase in ecommerce transaction volume.Some of Europe’s most successful brands, including Ryanair, JustEat and Lastminute.com, have added TrueLayer’s Pay by Bank method into their checkouts recently.

LONDON, Feb. 12, 2025 /PRNewswire/ — TrueLayer, Europe’s leading Pay by Bank provider, is proud to announce that its consumer network has now surpassed 10 million active users, with a new user now joining every 3 seconds. This rapid growth highlights the accelerating demand for seamless, secure and cost-effective digital payments, with TrueLayer’s Pay by Bank solution leading the charge.

To date, TrueLayer has processed over $72 billion in payments and currently processes 40% of all UK Pay by Bank transactions[1], making TrueLayer the largest Pay by Bank network in the UK. These milestones underscore the growing consumer preference for Pay by Bank – a payment method that offers consumers an easy, fast and secure way to pay online without the need for card details.

Consumer Adoption Trends:

In the UK alone, Pay by Bank transactions have more than tripled over the past three years, reaching 23 million monthly payments in 2024[2]. Consumers are increasingly choosing to Pay by Bank because it eliminates the need for card details, reduces the risk of fraud and provides instant payment confirmation. By bypassing traditional card networks, customers and merchants can both avoid unnecessary fees, while enjoying instant payment confirmation.

As Pay by Bank is increasingly being adopted by popular services across multiple sectors, consumers can now use their bank accounts to pay for everything from pizzas to holidays.

Merchant Adoption Trends:

The ecommerce sector is a key driver of this growth and adoption and is TrueLayer’s fastest growing category. In the past year, TrueLayer has experienced a 5X increase in ecommerce transaction volume, with some of Europe’s most successful brands, including industry leaders like Ryanair, JustEat and Lastminute.com, adding TrueLayer’s Pay by Bank solution into their checkouts.

With 10 million active TrueLayer users – and another new user joining every 3 seconds – every new user represents a potential customer who can pay instantly and securely via their bank account, making transactions faster and reducing the risk of fraud.

For merchants, this means lower transaction fees, fewer chargebacks, reduced fraud risk and improved cash flow, as Pay by Bank payments settle quickly and directly, giving merchants instant access to funds.

Consumers within the TrueLayer user network also convert at 10% higher rates than standard first-time users. By removing friction from the checkout, the seamless and personalised payment experience boosts order values by up to 20% and achieves a 90% conversion rate.

A Tipping Point in Pay by Bank adoption

Francesco Simoneschi, Co-Founder and CEO of TrueLayer, said: “The past few months have been a tipping point for the adoption of Pay by Bank, with rapid growth from both merchants and consumers, particularly within ecommerce.

With 10 million consumers in our network, even more merchants are eager to add Pay by Bank to their checkout, meaning more consumers will experience the benefits. There’s a powerful multiplier effect happening here – one that we believe will revolutionise the payments industry.

We also plan to further accelerate adoption of Pay by Bank by introducing new consumer functionalities, expanding use cases and solving pain points that merchants are experiencing with other payment methods. We look forward to announcing more on that later this year.”

About TrueLayer

TrueLayer is Europe’s leading Pay by Bank provider. We power smarter, safer and faster online payments by combining real-time bank payments with financial and identity data. Businesses big and small use our products to onboard new users, accept money and make payouts in seconds, and at scale. We’re live across 21 countries and more than 10 million users trust us to process their transactions. Though we’re not stopping here. We’re on a mission to change the way the world pays. And we won’t stop until we’ve unlocked the full potential of payments. Visit truelayer.com

[1] Based on OBIE data from December 2024
[2] https://www.openbanking.org.uk/api-performance/

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

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July 24, 2026

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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

 

 

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Video: CNPC offers green chemical answer

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July 24, 2026

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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

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

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July 24, 2026

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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

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