Bloomfield Hills investment company’s operating businesses serve hospitals, health systems, laboratories, employers, and benefit funds across Michigan and beyond.

BLOOMFIELD HILLS, Mich., Oct. 28, 2026 /PRNewswire/ — Creek Equity, the private investment company founded and owned by investor and entrepreneur Scott Zack, today detailed the portfolio of healthcare services companies it has built and backed, which now spans healthcare supply chain, pharmacy benefit management, and medical courier logistics.

Creek Equity founds companies, backs founders with early capital, and acquires established businesses, investing its own capital and holding for the long term. 

“Healthcare wastes enormous money between the people who pay and the people who deliver care,” said Zack, Founder and Owner of Creek Equity. “Each of our companies fixes one piece: what hospitals buy, what plans pay for drugs, and how specimens get from clinic to lab.”

The portfolio includes Avenix Medical Group, a healthcare supply chain partner providing strategic sourcing, supplier visibility, risk monitoring, and continuity planning for hospitals, health systems, physician groups, and post-acute care; Movanti Group, a transparent, 100 percent pass-through pharmacy benefit manager for employers, unions, and benefit funds; Total Routing Solutions, a medical courier providing specimen pickup and delivery for clinical laboratories and other healthcare companies; and Avenix Solutions Group, a procurement-optimization partner for automotive, healthcare, and hospitality. Creek Equity also owns Blue Cypress, its real estate arm, and Creek Equity Advisors, its advisory affiliate

Creek Equity typically holds majority or founding positions and works directly with management on operations, procurement, and growth. Its full portfolio and Investment Principles are published at https://www.creekequity.com.

About Creek Equity
Creek Equity is a private investment company in Bloomfield Hills, Michigan, owned by Scott Zack, that founds, funds, and acquires businesses across healthcare services, supply chain, logistics, and real estate. The firm invests its own capital and holds for the long term. Creek Equity is a BBB Accredited Business with an A+ rating.

About Scott Zack
Scott Zack is an investor and entrepreneur based in Bloomfield Hills, Michigan, and the Founder and Owner of Creek Equity. A former basketball player at The Ohio State University, he has founded, acquired, operated, and sold businesses in healthcare, supply chain, construction, and real estate.

Media Contact: Scott Zack, scott@creekequity.com

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A common architecture and unified software stack span Physical AI applications from always-on sensors to AI infrastructure, delivering up to 2X higher AI throughput per mm² and 50% better energy efficiency for the latest multimodal, generative and agentic AI workloads

ROCKVILLE, Md., Oct. 28, 2026 /PRNewswire/ — Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that powers the Smart Edge, today unveiled its next-generation NeuPro™ NPU portfolio, featuring expanded capabilities and delivering up to 2X higher AI throughput per mm² and a 50% improvement in energy efficiency versus the first generation.

Built on a common architecture and unified software stack, the new portfolio is designed to support increasingly demanding multimodal, generative and agentic AI workloads across Physical AI applications, from always-on sensing to advanced edge systems. The new architecture also marks Ceva’s expansion into AI infrastructure, enabling intelligent memory, connectivity and data-processing silicon, as well as custom AI inference processors for cloud and data centers.

Physical AI systems increasingly rely on multiple AI models and intelligent agents working together, with perception and real-time responses close to the sensor and more complex reasoning and orchestration distributed across devices, edge systems and the cloud. This shift toward hybrid AI is accelerating. Yet wherever inference takes place, a common challenge remains: the power and performance cost of the compute itself and of moving data to and from it. At the sensor, that cost is measured in microwatts and square millimeters; in the data center, in megawatts and memory bandwidth.  The same constraint appears in different forms, which calls for neural processing optimized for each workload, supported by a common architecture and software environment.

The next-generation NeuPro portfolio addresses both: a range of engines sized for different points in the system, and one way to develop for all of them. A unified software development kit spans the portfolio so semiconductor designers can match an engine to each part of their system or combine several within one SoC while preserving their software investment.

“Working closely with the more than 15 customers who have licensed the first generation of NeuPro has shown us that successful AI products depend on the right balance of compute, memory, bandwidth, power and cost for each use case,” said Yaron Galitzky, Executive Vice President, AI Division at Ceva. “Our team designed this next generation around those lessons, giving customers more room to deploy demanding models today and prepare for the workloads ahead.”

Built for the Next Generation of Inference 
Peak compute alone no longer defines AI system performance. Semiconductor developers must deliver optimal inference throughput within demanding power, area and memory constraints, while ensuring their architectures can support new models throughout the product lifecycle. The next-generation NeuPro architecture is designed to address both challenges.

The architecture introduces capabilities for workloads ranging from perception and classification to transformer-based, multimodal, generative and agentic workloads, including Physical AI applications:

Up to 2X higher AI throughput per mm² and a 50% improvement in energy efficiency versus the first generation.Advanced AI numerics and mixed precision, including FP4 and FP8, improving inference efficiency while reducing memory and data-movement requirements.Higher memory bandwidth and advanced memory management, including dynamic shapes and paged KV cache, addressing longer contexts and memory-intensive transformer workloads.Higher multiply-accumulate (MAC) utilization through optimized tensor reshaping, maximizing the effective use of compute resources to improve inference performance.Support for the latest network architectures, including Mixture-of-Experts and linear attention, with the architectural flexibility to accommodate model types that have not yet emerged.Support for pre-quantized models, allowing customers to deploy published checkpoints without a separate quantization and calibration step.Advanced compression, quantization and pruning, reducing computation and data movement to improve effective performance per watt and per unit area.

A Portfolio for Different Inference Workloads
The next-generation NeuPro portfolio comprises four NPUs:

NeuPro Nano targets always-on sensing and entry-level perception in highly constrained devices.NeuPro Prime addresses mainstream CNN and transformer workloads.NeuPro Max scales to advanced edge AI, including high-resolution perception, multimodal models, on-device assistants, robotics, Physical AI and agentic AI.NeuPro Ultra targets AI infrastructure applications, supporting both complex large language model inference in cloud and data centers and intelligent memory, connectivity and data-processing silicon that improves overall AI system efficiency.

All four are built on a common core architecture and supported by a single unified SDK, so tools, development flow and software investment carry across the portfolio. Designers can move between cores as requirements change, or combine several within one SoC and assign each workload to the engine best suited to it. For semiconductor companies, that means addressing multiple AI markets and performance points from one development foundation, reducing integration complexity and shortening development across successive product generations.

Extending Neural Processing into AI Infrastructure 
As large language model inference runs into memory constraints, customers are redesigning data center systems, distributing compute differently across them and integrating it in places it has not previously been, including within memory and networking subsystems. Inference at scale serves many models and many users at once, and memory bandwidth and data movement between memory, compute and networks have become central to system performance and power efficiency. ABI Research forecasts cloud AI inference capacity to grow at a 42% CAGR through 2035(i).

NeuPro Ultra is built for that redesign. It supports complex large language models in cloud and data center inference, with multi-core processing, multi-user operation, high memory bandwidth and advanced memory management, together with support for the software frameworks used in those deployments. It can equally be integrated into memory and connectivity subsystems of the same system, applying neural processing to the movement of data rather than to the model itself, reducing unnecessary transfers and relieving bottlenecks closer to where data is stored. Silicon developers can add these capabilities using Ceva’s licensable NPU foundation and the same software stack used across the portfolio.

“A common NPU architecture and software stack across every class of AI workload lets our customers build once and deploy across their roadmap,” said Amir Panush, Chief Executive Officer of Ceva. “NeuPro Ultra brings that platform into AI infrastructure, an important step in Ceva’s strategy to put neural processing into a broader range of semiconductor products. Customers building silicon for these markets can draw on Ceva’s architecture, software and experience rather than developing an NPU platform from scratch.”

Ceva will discuss the next-generation NeuPro portfolio and its Physical AI strategy in more detail at its technology symposium events in Hsinchu, Taiwan, on November 2 and in Shanghai, China, on November 5. To learn more about these events and to register to attend, visit https://www.ceva-ip.com/symposium-2026/.

Availability
Leading semiconductor and system companies are already evaluating and integrating next-generation NeuPro technology for future AI products. These early engagements span multiple market segments and help shape deployments targeting advanced edge, Physical AI and AI infrastructure applications. The next-generation NeuPro architecture is available now to select early-access customers, with general availability planned for the second quarter of 2027.

(i) https://www.abiresearch.com/press/cloud-ai-inference-workload-capacity-consumption-to-surpass-training-by-2033-reaching-46-gw-by-2035 

About Ceva, Inc.
Ceva powers the Smart Edge, bridging the digital and physical worlds to bring AI-driven products to life. Our Ceva AI fabric portfolio of silicon and software IP enables devices to Connect, Sense, and Infer – the essential capabilities for the intelligent edge. From 5G, cellular IoT, Bluetooth, Wi-Fi, and UWB connectivity to scalable Edge AI NPUs, AI DSPs, sensor fusion processors and embedded software, Ceva provides the foundational IP for devices that connect, understand their environment, and act in real time.

With more than 22 billion devices shipped and trusted by 400+ customers worldwide, Ceva is the backbone of today’s most advanced smart edge products – from AI-infused wearables and IoT devices to autonomous vehicles and 5G infrastructure. Our differentiated solutions deliver seamless integration into existing design flows, total flexibility to combine solutions based on design needs and ultra‑low‑power performance in minimal silicon footprint, helping customers accelerate development, reduce risk, and bring innovative products to market faster. As technology evolves toward Physical AI, Ceva’s IP portfolio lays the foundation for systems that are always connected, contextually aware, and capable of intelligent, real-time decision-making.

Visit us at www.ceva-ip.com and follow us on LinkedIn, X, YouTube, Facebook, and Instagram.

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Blackbaud Expands AI Leadership Through Numerous Innovation Announcements at bbcon User Conference

CHARLESTON, S.C., Oct. 28, 2026 /PRNewswire/ — Blackbaud (NASDAQ: BLKB), the world’s leading provider of AI-powered solutions for social impact, today announced financial results for its third quarter ended September 30, 2026.

“Innovation continues to drive our clear market leadership and a widening competitive moat,” said Mike Gianoni, president, CEO and vice chairman of the board of directors, Blackbaud. “As demonstrated at our recent bbcon conference in September, we continue to make significant investments in AI, empowering our customers to deepen constituent relationships, raise more money and operate more efficiently. For investors, we believe Blackbaud is a sound investment choice that has the potential to create shareholder value—a belief that is supported by our strong 2026 year-to-date financial results and accelerating pace of innovation. I continue to be excited about the company’s momentum in the near, mid and long term.”

Third Quarter 2026 Results Compared to Third Quarter 2025 Results:

GAAP total revenue was $292.6 million, up 4.1% and non-GAAP organic revenue increased 4.1%.GAAP recurring revenue was $287.0 million, up 4.1% and represented 98.1% of total revenue. Non-GAAP organic recurring revenue increased 4.1%.GAAP income from operations was $60.0 million, with GAAP operating margin of 20.5%, an increase of 110 basis points.Non-GAAP income from operations was $94.6 million, with non-GAAP operating margin of 32.3%, an increase of 240 basis points.GAAP net income was $46.1 million, with GAAP diluted earnings per share of $1.02, up $0.04 per share.Non-GAAP net income was $61.2 million, with non-GAAP diluted earnings per share of $1.36, up $0.26 per share.Non-GAAP adjusted EBITDA was $111.1 million, up $11.4 million, with non-GAAP adjusted EBITDA margin of 38.0%, an increase of 260 basis points.Rule of 40 score was 42.1%.GAAP net cash provided by operating activities was $141.7 million, an increase of $2.5 million, with GAAP operating cash flow margin of 48.4%, a decrease of 110 basis points.Non-GAAP free cash flow was $126.0 million, an increase of $2.8 million, with non-GAAP free cash flow margin of 43.1%, a decrease of 70 basis points.

“Blackbaud continues to be well-positioned for long-term success,” said Chad Anderson, executive vice president and CFO, Blackbaud. “Our strong results reflect our execution discipline, ongoing productivity improvements, and balance sheet optimization. We remain committed to providing investors an attractive financial model balanced across growth in revenues, earnings, and cash flows, along with a prudent and purposeful capital allocation strategy. Year-to-date we have repurchased more than 7% of our common stock outstanding since the end of 2025 while also reducing our leverage ratio from 2.7x in Q1 to 2.3x in Q3. We have a lot to be proud of and a lot more to look forward to in Q4 2026 and beyond.”

An explanation of all non-GAAP financial measures referenced in this press release, including the Rule of 40, is included below under the heading “Non-GAAP Financial Measures.” A reconciliation of the company’s non-GAAP financial measures to their most directly comparable GAAP measures has been provided in the financial statement tables included below in this press release.

Recent Company Highlights

At bbcon 2026:Blackbaud introduced Platform for Good™, its unified operating system for social impact, bringing the company’s products, data, AI, workflows and ecosystem together on a shared architecture to help organizations identify opportunities, expand capacity and move from information to action with greater confidence. Blackbaud also announced a broad portfolio of innovations across fundraising, marketing, financial management and education designed to strengthen the connected value of the platform.Blackbaud also unveiled Lantern™, the first domain-specific language model purpose-built to optimize fundraising intelligence. Developed through a strategic collaboration with Databricks, Lantern is built on Blackbaud’s four decades of experience in fundraising workflows, decisions, and results, so it understands the rhythms of fundraising and can illuminate opportunities that might otherwise go unseen. Starting in 2027, Lantern will be embedded within the Platform for Good and will begin powering select Blackbaud Raiser’s Edge NXT® and Agents for Good™ capabilities.In addition, Blackbaud shared updates on its expanding family of Agents for Good, including advancements to the Development Agent and the introduction of the Data Health Agent, a continuous data steward designed to detect and address data issues through review-and-approve workflows. Blackbaud also previewed agentic experiences for finance and education.BILL and Blackbaud announced a strategic partnership to simplify the accounts payable process for nonprofit and education finance teams, embedding BILL’s business payments network and payment-processing capabilities into Blackbaud Financial Edge NXT® Payment Assistant™. The connected experience is designed to support finance teams from invoice and approval through payment and reconciliation, reducing manual work within the financial management workflow.Blackbaud expanded the availability of Expedited Giving and Expedited Giving+ within its YourCause® from Blackbaud® solutions, accelerating how corporate and employee donations reach nonprofits. Expedited Giving delivers donations 90% faster than the industry average, while Expedited Giving+ is the industry’s fastest option, enabling direct-to-nonprofit donations in near real time leveraging Blackbaud Integrated Payments.Blackbaud announced new integrations with Microsoft 365 Copilot and Intuit Mailchimp, connecting Raiser’s Edge NXT to preferred technologies and giving users more ways to work, with best-in-class experiences.

Visit www.blackbaud.com/newsroom for more information about Blackbaud’s recent highlights.

Financial Outlook

Blackbaud today reaffirmed its 2026 full year financial guidance and expects to finish in the upper half of the range across all four key metrics:

GAAP revenue of $1.173 billion to $1.179 billionNon-GAAP adjusted EBITDA of $430 million to $438 millionNon-GAAP diluted earnings per share of $5.15 to $5.25Non-GAAP free cash flow of $280 million to $290 million

Included in its 2026 full year financial guidance are the following updated assumptions:

Non-GAAP annualized effective tax rate is expected to be approximately 24.5%Interest expense for the year is expected to be approximately $62 million to $66 millionDiluted weighted average shares outstanding for the year are expected to be approximately 45.0 million to 46.0 millionCapital expenditures for the year are expected to be approximately $60 million to $70 million, including approximately $52 million to $62 million of capitalized software development costs

Blackbaud has not reconciled forward-looking full-year non-GAAP financial measures contained in this news release to their most directly comparable GAAP measures, as permitted by Item 10(e)(1)(i)(B) of Regulation S-K. Such reconciliations would require unreasonable efforts at this time to estimate and quantify with a reasonable degree of certainty various necessary GAAP components, including for example those related to compensation, acquisition transactions and integration, tax items or others that may arise during the year. These components and other factors could materially impact the amount of the future directly comparable GAAP measures, which may differ significantly from their non-GAAP counterparts.

Stock Repurchase Program

As of September 30, 2026, Blackbaud had approximately $832 million remaining under its common stock repurchase program that was expanded, replenished and reauthorized in December 2025. Based on our current plans, and stock repurchases to date, we expect total repurchases during 2026 to represent between 7% and 10% of our outstanding common stock as of December 31, 2025.

Conference Call Details

About Blackbaud

Blackbaud (NASDAQ: BLKB) is the world’s leading provider of AI-powered solutions for social impact. Serving nonprofits, educational institutions, companies committed to corporate social responsibility and individual change makers, Blackbaud propels impact at scale with the sector’s most intelligent solutions for fundraising and engagement, education solutions, financial management and CSR and grantmaking. With the deepest expertise powered by the world’s largest philanthropic data set, the most connected workflows, and the most powerful impact network, Blackbaud’s solutions are building a future where resources are unleashed at the speed of need. Blackbaud has been recognized by Fast Company, Newsweek, Quartz, Forbes and more for AI innovation, responsible leadership and workplace excellence. Blackbaud has operations in the United States, Australia, Canada, Costa Rica, India and the United Kingdom, supporting users in 100+ countries. Learn more at www.blackbaud.com, or follow us on X/Twitter, LinkedIn, Instagram, and Facebook.

Investor Contact
IR@blackbaud.com 

Media Contact
media@blackbaud.com

Forward-Looking Statements

Except for historical information, all of the statements, expectations, and assumptions contained in this news release are forward-looking statements which are subject to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, including, but not limited to, statements regarding the predictability of our financial condition and results of operations. These statements involve a number of risks and uncertainties. Although Blackbaud attempts to be accurate in making these forward-looking statements, it is possible that future circumstances might differ from the assumptions on which such statements are based. In addition, other important factors that could cause results to differ materially include the following: management of integration of acquired companies; uncertainty regarding increased business and renewals from existing customers; a shifting revenue mix that may impact gross margin; continued success in sales growth; risks related to the development, deployment, regulation, security, market adoption and perception of artificial intelligence technologies; cybersecurity and data protection risks and related liabilities; potential litigation involving us; and the other risk factors set forth from time to time in the SEC filings for Blackbaud, copies of which are available free of charge at the SEC’s website at www.sec.gov or upon request from Blackbaud’s investor relations department. Blackbaud assumes no obligation and does not intend to update these forward-looking statements, except as required by law.

Trademarks

All Blackbaud product names appearing herein are trademarks or registered trademarks of Blackbaud, Inc.

Non-GAAP Financial Measures 

Blackbaud has provided in this release financial information that has not been prepared in accordance with GAAP. Blackbaud uses non-GAAP financial measures internally in analyzing its operational performance. Accordingly, Blackbaud believes these non-GAAP measures are useful to investors, as a supplement to GAAP measures, in evaluating its ongoing operational performance and trends and in comparing its financial results from period-to-period with other companies in Blackbaud’s industry, many of which present similar non-GAAP financial measures to investors. However, these non-GAAP financial measures may not be completely comparable to similarly titled measures of other companies due to potential differences in the exact method of calculation between companies.

The non-GAAP financial measures discussed above exclude the impact of certain transactions that Blackbaud believes are not directly related to its operating performance in any particular period, but are for its long-term benefit over multiple periods. Blackbaud believes these non-GAAP financial measures reflect its ongoing business in a manner that allows for meaningful period-to-period comparisons and analysis of trends in its business.

While Blackbaud believes these non-GAAP measures provide useful supplemental information, non-GAAP financial measures should not be considered in isolation from, or as a substitute for, financial information prepared in accordance with GAAP. Investors are encouraged to review the reconciliations of these non-GAAP measures to their most directly comparable GAAP financial measures.

Non-GAAP free cash flow is defined as operating cash flow less capital expenditures, including costs required to be capitalized for software development, and capital expenditures for property and equipment. Blackbaud believes non-GAAP free cash flow provides a useful measure of the company’s operating performance. Non-GAAP free cash flow is not intended to represent and should not be viewed as the amount of residual cash flow available for discretionary expenditures.

In addition, Blackbaud uses non-GAAP organic revenue growth, non-GAAP organic revenue growth on a constant currency basis, non-GAAP organic recurring revenue growth and non-GAAP organic recurring revenue growth on a constant currency basis, in analyzing its operating performance. Blackbaud believes that these non-GAAP measures are useful to investors, as a supplement to GAAP measures, for evaluating the periodic growth of its business on a consistent basis. Each of these measures excludes incremental acquisition-related revenue attributable to companies, if any, acquired in the current fiscal year. For companies acquired in the immediately preceding fiscal year, each of these measures reflects presentation of full-year incremental non-GAAP revenue derived from such companies as if they were combined throughout the prior period. In addition, each of these measures excludes prior period revenue associated with divested businesses, if any. The exclusion of the prior period revenue is to present the results of the divested businesses within the results of the combined company for the same period of time in both the prior and current periods. Blackbaud believes this presentation provides a more comparable representation of its current business’ organic revenue growth and revenue run-rate.

Rule of 40 is defined as non-GAAP organic revenue growth plus non-GAAP adjusted EBITDA margin. Non-GAAP adjusted EBITDA is defined as GAAP net income plus interest, net; income tax provision (benefit); depreciation; amortization of intangible assets from business combinations; amortization of software development costs; stock-based compensation expense; global workforce transition costs; acquisition and disposition-related costs; and Security Incident-related costs.

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