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poolside and AWS announce strategic agreement to enable secure, customized generative AI for software engineering on Amazon Bedrock and Amazon Elastic Cloud Compute (EC2)

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New offering will make it easier for customers to run poolside in their existing AWS environmentpoolside software engineering foundation models are now available on Amazon Elastic Cloud Compute (EC2) and coming soon to Amazon Bedrockpoolside leverages AWS Trainium chips to power inference for generative AI models

LAS VEGAS, Dec. 4, 2024 /CNW/ — At AWS re:Invent, Amazon Web Services (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN) and poolside, the frontier artificial intelligence (AI) unicorn valued at $3 billion in an October funding round, today announced a multi-year agreement to make poolside’s generative AI Assistant and foundation models (FMs) available in Amazon Bedrock. Amazon Bedrock is a fully-managed service that offers developers access to high-performing models from leading AI companies through a single API. As a result, enterprise customers will soon be able to customize poolside’s generative AI Assistant for software development with their own data, leveraging the security, privacy, and performance of AWS.

As part of the agreement, poolside will also leverage AWS Trainium chips to power inference for its malibu and point foundation models, enabling optimal price performance for customers. AWS Trainium is a high-performance machine learning chip designed to reduce the time and cost of running generative AI models. AWS customers are now able to deploy poolside securely on Amazon Elastic Cloud Compute (EC2) and will soon be able to so through Amazon Bedrock, relying on Amazon EC2 Trainium instances for inference.

Solving for the generative AI needs of enterprise organizations
Bringing poolside’s models to Amazon Bedrock and EC2 provides enterprise customers of both companies with a unique advantage to solving complex software engineering tasks and driving development productivity for their organizations through generative AI. poolside FMs are designed to be fine-tuned with each business’s code and data, producing a proprietary generative AI model and software engineering assistant for that specific business. poolside in Amazon Bedrock and EC2 will enable enterprise organizations to meet security, privacy and compliance concerns and quickly deploy their custom generative AI models. AWS customers will be able to deploy poolside models where their data is stored, within their firewalls, on the world’s most secure cloud, and with no data shared back with poolside.  

poolside’s Reinforcement Learning From Code Execution Feedback (RLCEF) technique runs on AWS today, powering approximately one million container images, while allowing for 10,000 code executions per minute. RLCEF allows poolside to generate synthetic training data at scale by exposing models to realistic coding tasks in real-world code bases, providing feedback based on code execution, and employing a large-scale Reinforcement Learning approach for training. Proving RLCEF at scale is what allows poolside models to train on increasingly more data without relying on any of their customers’ data – enabling enterprise customers to deploy models securely and privately.

“We’ve been incredibly impressed with the AWS team and are excited to partner on this journey to unlock more of the potential of AI for software development,” said poolside CEO Jason Warner. “Today, the majority of developers sit within an enterprise environment where access to these tools is scarce and their full potential is not yet realized. Companies of this scale need a tailored model that can both capture their proprietary knowledge and learn from their interactions over time. That is what we’ve built, and AWS’s reputation and depth within the enterprise is key to accelerating adoption and impact.”

“Giving AWS customers the flexibility to run poolside in Amazon Bedrock or on their own EC2 instances will further enhance their ability to innovate with generative AI,” said Dave Brown, Vice President, AWS Compute & Networking Services. “poolside offers a unique solution for software engineering teams of large enterprise customers looking to build and scale generative AI applications through foundation models without sacrificing privacy and security. It’s yet another way for enterprise organizations to leverage their internal knowledge base to build proprietary, tailored solutions.”

Streamlined procurement, contracting, and budgeting through their relationship with AWS makes it even easier for AWS customers to experiment securely with poolside.

Models for specific use cases
AWS is the first cloud provider to offer fully-managed models from poolside. The poolside Assistant is powered by models ideal for software development and coding-related use cases: poolside’s malibu and point generative AI models. poolside’s FMs are trained on the world’s largest pool of code execution data and fine-tuned on how large enterprises write software. malibu is highly versatile and excels at tackling complex engineering challenges, delivering intricate code generation and test and documentation generation. point is engineered for rapid code completion, leveraging advanced context awareness to accurately predict developers’ needs. point offers real-time suggestions for algorithm optimization and design patterns. With poolside, Amazon Bedrock customers will soon have their own proprietary models, fine-tuned on their own data, that continuously learn how their developers write code.

About poolside
poolside is building the world’s most capable AI for software development. Its foundation model – built from the ground up – gives companies a private and secure alternative that can be tailored to their environment and that continuously learns from their usage and interactions. Headquartered in the U.S., poolside has amassed a powerhouse team of applied researchers and engineers from Deepmind, Yandex, Amazon, Uber, and more, and a go-to-market team led by Paul St. John, previously CRO at GitHub. poolside is backed by Bain Capital Ventures, DST Global, Felicis Ventures, Redpoint Ventures, and other institutional investors as well as corporates and leading angel investors. For more information, visit www.poolside.ai.

poolside Media Contacts
press@poolside.ai

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11:11 Systems Announces Strategic Partnership with Cato Networks to Deliver SASE Solution for Distributed Enterprises

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New Managed Secure Access Service Edge (SASE) solution combines SD-WAN, cloud-native networking and security capabilities with 11:11’s connectivity, cyber resilience and cloud expertise

SYDNEY, July 22, 2026 /PRNewswire/ — 11:11 Systems, a leading managed infrastructure solutions provider, today announced the global availability of its 11:11 Managed Secure Access Service Edge (SASE) solution and a new strategic partnership with Cato Networks.

11:11 Managed SASE is a fully managed secure connectivity solution leveraging Cato Networks AI-native network security platform. This solution brings together intelligent SD-WAN, cloud-delivered security and global connectivity into a single offering. It enables organisations to simplify and secure access across branch offices, data centres, users and cloud environments, reducing complexity without sacrificing performance or control.

Built on the Cato Networks cloud-native SASE platform, 11:11 Managed SASE combines zero trust network access (ZTNA), firewall as a service (FWaaS), secure web gateway (SWG), cloud access security broker (CASB), advanced threat protection and centralised visibility into a unified managed experience. 11:11 also delivers 24x7x365 monitoring and support, incident management integration and operational accountability to help customers limit vendor sprawl, increase agility and free internal teams to focus on higher-value priorities.

The offering is backed by 11:11’s broader networking, cloud and cyber resilience capabilities. Through its global backbone, carrier-agnostic connectivity options and integrated portfolio spanning cloud, backup, disaster recovery and security services, 11:11 gives customers a practical path to modernise network and security architecture while strengthening resilience across the business.

“Enterprises are under pressure to support users, applications and locations that are more distributed than ever, while limiting complexity and improving security,” said Justin Giardina, CTO, 11:11 Systems. “Our Managed SASE solution provides customers with a unified approach to modernising networking and security, along with the visibility, support and flexibility they need to thrive in a rapidly changing environment.”

According to Karl Soderlund, global channel chief, Cato Networks, “As enterprises move beyond fragmented legacy networking and security stacks, they need a simpler way to gain visibility, context and control across hybrid work environments and reduce the operational burden on IT. Through our partnership, we can address these challenges head on and deliver end-to-end visibility and protection in a single service built for the reality of modern work.”

The joint offering is well suited for distributed enterprises, multi-site organisations, hybrid workforce initiatives, SD-WAN refreshes, security modernisation efforts and businesses with limited IT resources. 11:11 meets customers where they are by supporting existing environments, simplifying multi-vendor operations and serving as a single provider accountable for network, security, cloud and data integration.

This partnership expands 11:11’s Network as a Service portfolio and follows Forrester’s inclusion of 11:11 Systems in its report, “The Secure Access Service Edge Services Landscape, Q1 2026.”

About 11:11 Systems

11:11 Systems is a managed infrastructure solutions provider that empowers customers to modernise, protect and manage mission-critical applications and data, leveraging 11:11’s resilient cloud platform. Learn more at www.1111Systems.com and follow 11:11 on LinkedIn.

View original content:https://www.prnewswire.com/apac/news-releases/1111-systems-announces-strategic-partnership-with-cato-networks-to-deliver-sase-solution-for-distributed-enterprises-302830322.html

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Crowell & Moring Expands Financial Services Group with Former UBS Bank USA General Counsel Cristina Diaz

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NEW YORK, July 21, 2026 /PRNewswire/ — Crowell & Moring has added Cristina Diaz, former executive director and general counsel of UBS Bank USA, and most recently head of legal for UBS’s U.S. Remediation Management Office, to the firm’s Financial Services Group as senior counsel in New York. Diaz brings more than two decades of in-house counsel and law firm experience in bank regulation, compliance, and risk management.

At Crowell, Diaz will counsel banks, fintechs, and digital assets companies on a broad range of bank regulatory matters, including charters and licensing, permissible activities, capital requirements, regulatory enforcement, M&A, and corporate governance. She will also counsel clients navigating the intersection of traditional banking and emerging financial services, including digital assets companies seeking to acquire or establish national banks, and banks exploring partnerships with fintechs and digital assets firms.

At UBS, Diaz advised on the firm’s most pressing regulatory matters, including most recently UBS Bank USA’s charter conversion from a Utah industrial bank to an OCC national bank and key compliance remediations. This work gave Diaz extensive experience navigating relationships with state and federal financial regulators. Earlier in her career, Diaz spent eight years at Davis Polk & Wardwell advising U.S. and foreign banks on bank regulatory matters, M&A, and capital markets transactions.

“Cristina is a highly experienced, solution-oriented attorney who brings deep knowledge in the bank regulatory space. She will be an enormous asset to the firm’s growing regulatory and transactional offerings to banks, digital assets businesses, and fintechs,” said Carlton Greene, Co-Chair of Crowell’s Financial Services Group.

“I am delighted to join Crowell & Moring and integrate my bank regulatory experience with the firm’s nationally-recognized digital assets practice. As traditional banking and emerging financial technologies continue to evolve, clients need actionable and sophisticated legal counsel. Crowell offers the collaborative platform to help institutions successfully execute their growth and compliance strategies,” said Diaz.

Diaz received her J.D. from New York University School of Law, where she was a member of the New York University Law Review, and received her B.A., summa cum laude, from New York University. She is fluent in Spanish.

About Crowell & Moring LLP
Crowell & Moring is an international law firm with operations in the United States, Europe, and MENA. Drawing on significant government, business, industry, and legal experience, the firm helps clients capitalize on opportunities and provides creative solutions to complex regulatory and policy, litigation, transactional, and intellectual property issues. The firm is consistently recognized for its commitment to pro bono service, as well as its comprehensive programs and initiatives to advance the professional and personal development of all members of the Crowell community.

Media Contact:
Email: prteam@crowell.com

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Quantinuum and SoftBank Corp. Publish Joint White Paper on Scaling Practical Quantum Computing Use Cases Toward the Fault-Tolerant Era

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The companies have published a joint white paper mapping commercially relevant quantum computing use cases in quantum chemistry and graph analytics to Quantinuum’s hardware roadmap.The paper provides a framework for assessing how advances in quantum hardware and algorithms, could affect when practical industrial applications become feasible.SoftBank Corp. and Quantinuum will use the roadmap to inform their exploration of future quantum AI data center services and related business models.

TOKYO and BROOMFIELD, Colo., July 22, 2026 /PRNewswire/ — Quantinuum (NASDAQ: QNT) and SoftBank Corp. (“SoftBank”) today announced the publication of “Quantum Computing Frontiers,” a joint white paper that maps two commercially-relevant quantum computing application areas against Quantinuum’s hardware roadmap. The analysis examines how advances in quantum hardware and algorithms could affect when these applications become practical for industrial use.

The paper focuses on two representative application domains that SoftBank is actively using Quantinuum’s systems to research: quantum chemistry for new materials discovery and energy research, and topological data analysis for large-scale graph analytics, including for telecommunications fraud detection. The authors anchor their assessment of the scalability of these two application areas against Quantinuum’s published hardware roadmap, examining how projected advances in hardware capabilities and algorithms may enable the commercial readiness of future industrial applications.

Building on this use-case roadmap, the paper also examines how quantum computing, AI, and high-performance computing could be integrated into future computing infrastructure. It considers how progress across successive hardware generations could inform future quantum AI data center services and related business models, a key focus of the Quantinuum and SoftBank partnership announced last year.

“The key takeaway of this study is that organizations do not need to wait for large-scale, fault-tolerant systems to explore where quantum computing can begin creating value,” said Duncan Jones, General Manager, Applications Group at Quantinuum. “By using today’s systems to develop, benchmark and refine applications in areas such as quantum chemistry and graph analytics, enterprises can build the technical and operational readiness needed for the next era of quantum-enabled computing.”

“The question is no longer whether quantum computing may deliver value, but rather which problem classes become executable at which stage of hardware maturity,” said Ryuji Wakikawa, Senior Vice President & CTO at SoftBank Corp. “However, we believe progress in hardware must be complemented by equally strong developments in quantum algorithms and the integration of quantum systems with AI and high-performance computing.”

The white paper discusses illustrative scenarios describing how representative applications, technology maturity, and potential market opportunities may evolve over time under stated assumptions. The analysis provided in the paper is intended to provide a conceptual framework for understanding potential market evolution and does not represent financial guidance or forecasts. These analyses are intended to support discussion of future technology development and should not be interpreted as commitments regarding commercialization, infrastructure investment, products, services, or financial performance.

The full white paper is available to download on the SoftBank and Quantinuum websites.

About SoftBank Corp.

Guided by the SoftBank Group’s corporate philosophy, “Information Revolution – Happiness for everyone,” SoftBank Corp. (TOKYO: 9434) operates telecommunications and IT businesses in Japan and globally. Building on its strong business foundation, SoftBank Corp. is aiming to activate the potential of AI across its businesses and drive implementation in line with its “Activate AI for Society” growth strategy. While further growing its telecom business, SoftBank is expanding its AI computing infrastructure and AI and Cloud service businesses with the aim of becoming a provider of Next-generation Social Infrastructure. To learn more, please visit https://www.softbank.jp/en/corp/

About Quantinuum

Quantinuum (NASDAQ: QNT) is a leading quantum computing company offering a full-stack platform designed to make quantum computing deployable in real-world environments. The company has commercially deployed multiple generations of quantum systems built on the well-established QCCD architecture, which it has implemented with novel designs and capabilities to achieve the industry’s highest accuracy levels based on average two-qubit gate fidelity.[1] Quantinuum has active engagements with market leaders across pharmaceuticals, material science, financial services, and government and industrial markets. The company has a global workforce of approximately 700 employees, including top scientists and researchers. Over 70% of its technology team holds PhDs or Master’s degrees. Quantinuum’s headquarters is in Broomfield, Colorado, with additional facilities across the United States, United Kingdom, Germany, Japan, Qatar, and Singapore.

For more information, please visit www.quantinuum.com.

Cautionary Statement Concerning Forward-Looking Statements

This press release contains certain statements that may be deemed “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements include all statements that are not historical facts. The words “anticipate,” “assume,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “potential,” “predict,” “project,” “future,” “will,” “seek,” “foreseeable,” the negative version of these words, or similar terms and phrases are intended to identify forward-looking statements. Such statements are based on certain assumptions and assessments made by our management in light of their experience and their perception of historical trends, current economic and industry conditions, expected future developments and other factors they believe to be appropriate. The forward-looking statements included in this release are also subject to a number of material risks and uncertainties, including but not limited to economic, competitive, governmental, and technological factors affecting our operations, markets, products, services and prices. New factors emerge from time to time, and it is not possible for Quantinuum to predict all such factors. Any forward-looking statement speaks only as of the date on which it is made, and, except as required by law, Quantinuum does not undertake any obligation to update or revise any forward-looking statement, whether as a result of new information, future events or otherwise.

 

[1] As of December 31, 2025.

SOURCE Quantinuum

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