Initial appointees, including Morgan Stanley Lead Director and former Thomson Reuters CEO Tom Glocer, bring wealth of expertise and experience across legal, financial, and business sectors

SANTA MONICA, Calif., June 30, 2026 /PRNewswire/ — Dialogica (“Dia”), the new, voice-first class of legal cognition built to empower lawyers to reclaim their time while preserving legal judgment, trust, and confidentiality, today announced appointees to its inaugural Board of Advisors.

The initial appointees are Tom Glocer, Scott C. Taylor, and Heath Ingram. In addition to serving as trusted personal mentors to Co-Founder and CEO Austin Worrell, and President Scott Joachim, these individuals bring a diverse wealth of experience and will advise Dialogica’s executive team as it moves forward with a human-first, empowered path for technology in the legal profession and beyond.

Tom Glocer, former CEO of Thomson Reuters Corp., will serve as Chairman. He currently serves as Executive Chair and Co-Founder of BlueVoyant Inc. and Capitolis Inc. and brings decades of legal experience, including as an M&A attorney at Davis Polk & Wardwell in New York, Paris, and Tokyo. He sits on the board of directors at Merck & Co., Morgan Stanley (Lead Director), Publicis Groupe, and other leading companies and nonprofits.

“The legal market has been flooded with AI tools claiming to automate legal research, contract drafting, and compliance, but none of these point solutions makes life much easier for the practicing attorney. Dia works seamlessly with other AI tools and, from a firm strategy perspective, it future-proofs their practice by facilitating plug-and-play orchestration of individual practice tools,” said Glocer. “From my first meeting when Scott introduced me to Austin and the team, I could see the potential. I’m proud to be part of Dialogica’s mission to help legal professionals maximize their time and complete the work that so many rely upon.”

Scott C. Taylor will serve as an Advisor and has been on the board of directors at Piper Sandler, a multinational investment bank and financial services company, since 2014. Additionally, he currently serves as a director of Ziff Davis, Inc., Emtrain, and Western Technology Investments. Previously, he was executive vice president, general counsel, and corporate secretary at Symantec Corporation (now NortonLifeLock, Inc.), a cybersecurity software and services company. Prior to that, he worked as chief administrative officer, senior vice president and general counsel of Phoenix Technologies Ltd.

Taylor said: “Upon first learning of Dialogica, I could not stop thinking of how big of a difference it would have made during my time as a practicing attorney. I’m honored to help make a difference in the lives of professionals moving forward.”

Heath Ingram will also serve as an Advisor. As Partner at Goodwin Procter, he focuses primarily on life sciences and healthcare companies, as well as venture capital and private equity firms focused on the healthcare industry. He is also Director of the firm’s Center for Market Access and Pricing, a center of excellence devoted to helping companies manage regulation, litigation, and enforcement across the drug supply chain and promoting access to medicine.

Ingram said: “As a Big Law attorney, Dialogica helps me on a daily basis to offload the administrative burden of legal practice, enabling me to direct my attention toward delivering for clients,” said Ingram.  

Additional appointees will be announced in the coming months. This announcement comes on the heels of Dialogica’s recent launch from stealth, as well as news of its partnership with leading AI knowledge work platform iManage, and represents continued momentum in its goal of freeing lawyers from rote work and helping them focus on what they do best. 

About Dialogica
Dialogica, Inc. is the company behind Dia, a secure amplified intelligence platform built to help law firms clear the clutter of daily practice while preserving the legal judgment, client trust, and confidentiality that define the profession. Designed for the operating realities of sophisticated firms, Dia works across existing systems to reduce repetitive, non-billable work and give lawyers more time for the counsel, strategy, analysis, and client service only they can provide. For more information, visit: dialogicaai.com.

Media Contact
Dialogica@5wpr.com

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SOURCE Dialogica, Inc.

Start tuning and serving AI models on a single DGX Spark with ready-made templates, then scale the same workflows to thousands of GPUs without a rebuild

RENO, Nev., June 30, 2026 /PRNewswire/ — CIQ, the enterprise software company behind Rocky Linux and the Fuzzball AI and HPC orchestration platform, today announced that its Fuzzball platform now delivers a production-ready AI compute and inference environment for the NVIDIA DGX Spark stack. AI teams get one consistent environment to develop, tune and deploy AI workloads on infrastructure they own and control. That environment runs the same way from a single Spark system to large GPU clusters and data-center infrastructure, with no rebuild as compute grows. NVIDIA DGX Spark is the first supported platform, with additional platforms planned.

The challenge teams now face is that before any model reaches production, AI teams must spend months assembling storage, container registries, schedulers, inference servers and deployment pipelines by hand. That assembly restarts every time the underlying compute changes, turning every infrastructure upgrade into a project that delays workload deployment and monetization.

Fuzzball replaces this with a ready-to-run AI compute and inference environment, designed specifically for private, local inference on DGX Spark. For organizations building sovereign AI workloads where data cannot leave the premises, that means a path from private model tuning to production inference that maintains control of the infrastructure underneath it. The time between a model idea and a running inference service compresses from months to days.

“Fuzzball is the Kubernetes of performance-intensive computing, and it is what AI teams have needed to truly own their infrastructure. The hard part of AI has never been the model. It has been operating that model at scale without rebuilding everything underneath it every time compute changes, and most teams spend months on that problem before a single workload reaches production. Fuzzball ends that. With hundreds of built-in workflow templates, a single DGX Spark becomes a complete environment for AI development, testing and validation from day one, and those same workflows run unchanged across thousands of systems and GPUs. CIQ stands for controlling intelligence. Fuzzball is how teams actually do it,” said Gregory Kurtzer, CEO and founder of CIQ and founder of Rocky Linux.

With Fuzzball, a single DGX Spark becomes a fully operational AI development and deployment environment from day one, with a direct path to larger infrastructure when the project demands it. Multiple DGX Spark systems can work together under a common Fuzzball environment, giving small teams a practical way to expand local compute capacity incrementally. When workloads grow beyond local capacity, the same containers, model assets and workflow definitions seamlessly move onto larger NVIDIA GPU deployments allowing you to scale from NVIDIA DGX Spark to NVIDIA GB300 NVL72 without changes to the application, Fuzzball orchestration model, or Fuzzball deployment process.

For AI teams and HPC teams that have historically managed separate toolchains, Fuzzball eliminates the operational split that slows AI from experimentation to production across the enterprise. Fuzzball bridges local DGX Spark systems and existing HPC clusters with cloud capacity and large GPU infrastructure including NVIDIA GPU systems, all under a single operational model. The result is a new generation of accelerated computing where job-based orchestration, workflow portability, containerized execution and production inference work together.

“Organizations in regulated industries have had to choose between moving AI to production and keeping data on infrastructure they control. That has never been an acceptable tradeoff. Fuzzball removes it. Teams can tune models privately on DGX Spark, operationalize those models as production inference services and expand onto larger controlled infrastructure without changing the environment underneath their work. For sovereign AI to be practical it has to run the same way at every compute tier, and that is exactly what Fuzzball on DGX Spark delivers. DGX Spark is the first platform this runs on, and it will not be the last,” said Bjorn Hovland, president of CIQ.

To see Fuzzball in action, join CIQ’s upcoming webinar, “How to deploy your own LLM and take it to production with Fuzzball” on Thursday, July 16, 2026 at 12pm PDT / 3pm EDT. Register at https://events.ciq.com/fuzzball-inferencing-ai-workload.

About CIQ

CIQ is the founding support and services partner for Rocky Linux and a leading provider of Enterprise Linux infrastructure. CIQ delivers commercially supported Linux offerings, high-performance computing solutions, and AI infrastructure to enterprises, government agencies, research institutions and supercomputing centers worldwide. CIQ’s products include the Rocky Linux from CIQ (RLC Pro) family of operating systems, Ascender Pro for IT automation, Fuzzball job-based container orchestration, Warewulf cluster provisioning and Apptainer, the leading container system for high-performance computing. For more information, visit ciq.com.

Media Contact:
Cristin Connelly
Cathey Communications for CIQ
cristin@cathey.co

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SOURCE CIQ

The Reading League’s newest review gives the highest possible scores for the overall delivery and design of HMH Into Reading.

BOSTON, June 30, 2026 /PRNewswire/ — Learning company HMH today welcomed The Reading League’s recent review of HMH Into Reading, Version 3 (2025), which gave the program scores of 1—the strongest evidence of alignment with the science of reading under The Reading League’s rubric—in overall design and delivery practices.

This review reaffirms HMH Into Reading’s strong foundation in evidence-aligned literacy practices and its commitment to the science of reading. To read the full review, visit The Reading League Compass Curriculum Decision Makers webpage.

The Reading League is a leading national nonprofit founded by educators and reading experts dedicated to advancing evidence-aligned reading instruction. They identify best practices in literacy instruction that align with the science of reading, which inform their Curriculum Evaluation Guidelines and research-based curriculum reviews.

In their review of Into Reading’s teacher-facing and student-facing materials, The Reading League’s expert evaluators awarded the program the highest possible score in 71 out of 75 practices across five key areas: word recognition, language comprehension, reading comprehension, writing, and assessment.

The evaluation praised Into Reading for offering “a comprehensive approach to literacy, with clear scope-and-sequence pathways,” and noted that it “is highly data-driven, with a strong assessment system that provides actionable insights to support progress monitoring, differentiation, and instructional planning.”

“Parents and educators are increasingly—and rightly—demanding classroom tools and materials that are proven to help students learn. The Reading League provides a crucial, independent evaluation of which literacy programs align with the latest research and evidence,” said Jim O’Neill, President of Core and Supplemental Solutions at HMH. “We’re encouraged that The Reading League’s review recognizes our commitment to the science of reading, and we’re proud Into Reading is helping teachers turn that commitment into measurable student growth.”

Into Reading is used by millions of students nationwide and appears on more state-approved lists for core literacy programs aligned to the science of reading than any other curriculum provider, with approvals in 34 states.

Learn more about Into Reading at hmhco.com.

About HMH

HMH is a K-12 learning company that helps educators create growth for every student. Our integrated curriculum, assessment and professional learning solutions use data to paint a full picture of every learner and recommend how to best support their needs. By partnering with educators, we create lasting momentum so that all students can reach their full potential. HMH serves more than 50 million students and 4 million educators in 150 countries.

For more information, visit www.hmhco.com. Follow HMH on LinkedIn, Facebook, Instagram and YouTube.

Contact

Katie Marshall
Senior Communications Manager, HMH
Katie.Marshall@hmhco.com
617-351-5057

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SOURCE HMH Education Company