日期: 2026 年 6 月 2 日

(SeaPRwire) –   I had a call with Elena Rodriguez, a veteran product strategist who’s spent the last decade helping SaaS companies navigate the messy integration of analytics, and her take on Qrvey’s latest recognition was refreshingly blunt. “Another year, another leadership quadrant. Frankly, the consistency is more impressive than the placement,” she said. “In embedded analytics, the real battle isn’t for the flashiest AI feature—it’s for operational sanity. SaaS teams are drowning in the complexity of building and maintaining their own data stacks. A platform that scores perfectly on customer recommendations for five years straight isn’t just selling widgets; it’s selling peace of mind. It tells me they’ve figured out the unsexy stuff: integration that doesn’t break, support that actually knows your stack, and a cost model that doesn’t explode. That’s the bedrock. The AI-native stuff is the house you build on top.” Her point cuts through the hype. In a market screaming about AI, sustained customer loyalty might be the most advanced algorithm of all. Diving into the specifics, Qrvey’s recognition comes from the 2026 Wisdom of Crowds Business Intelligence Market Study by Dresner Advisory Services. This isn’t an analyst’s opinion piece; the study’s entire methodology is built on direct feedback from the people actually using these platforms. For the fifth year running, Qrvey has been flagged as a leading vendor, and this time they landed leadership spots in two key models: Customer Experience and Vendor Credibility. They also got tagged as a High Value/Low Total Cost of Ownership provider. Technically, they landed in the upper-right quadrant across three collective models, which is research-firm speak for scoring high on both product strength and vendor execution. The customer feedback highlighted some concrete strengths. Howard Dresner from the research firm pointed out that Qrvey’s ratings beat the industry average in almost every category. Where did users give them especially high marks? Things like understanding business needs, product flexibility, and integration capabilities. The consulting services and technical support got nods, and even organizational integrity was called out. Perhaps the most telling stat is that perfect customer recommendation score, a streak they’ve maintained for half a decade now. Qrvey’s CEO, Arman Eshraghi, linked the recognition to the broader shift toward AI in software, arguing that a solid embedded analytics foundation has become even more critical. The platform itself is built for multi-tenant SaaS environments, aiming to let product teams embed analytics, automation, and AI-driven features without having to construct the underlying data infrastructure from scratch. The goal is to speed up deployment while giving end-users self-service capabilities. Looking at the bigger picture, this isn’t just about one company’s report card. It’s a signal flare for where the embedded analytics market is heading. As every SaaS product under the sun scrambles to add AI-powered experiences, the analytics layer is shifting from a nice-to-have dashboard to the core nervous system of the application. It’s what turns raw operational data into the fuel for those AI features. This evolution puts immense pressure on the underlying platform. It needs to be scalable, secure, and seamlessly integrated—flaws here will cripple the fancy AI built on top. That’s why customer-centric studies like Dresner’s are becoming a crucial gut-check. In a landscape crowded with vendors promising the moon, the long-term satisfaction of existing customers is a powerful filter. It separates vendors who deliver sustainable value from those who just sell a dream. The trend is clear: the winners in the embedded analytics space won’t necessarily be the ones with the most buzzwords, but the ones that master the grind of reliability, adaptability, and genuine partnership. That’s the quiet work that earns a standing ovation, year after year. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

(SeaPRwire) –   The AI gold rush is entering a more pragmatic phase. For the past two years, the industry has been obsessed with training massive models, but the real bottleneck today is the transition from a cool demo to a production-grade inference engine. I recently sat down with Marcus Thorne, a veteran infrastructure architect who has spent decades navigating the transition from legacy data centers to the cloud-native era. His take on the latest move by QumulusAI and Shadeform is telling: “We are finally seeing the ‘infrastructure-as-a-commodity’ myth collapse. Companies are realizing that you can’t just rent generic compute and expect to scale inference reliably. This partnership isn’t just about adding nodes; it’s about securing a predictable, high-performance supply chain for the next wave of AI applications. The market is moving away from the ‘any GPU will do’ mentality toward a model where dedicated, long-term capacity is the only way to survive the production grind.” The numbers behind this collaboration are straightforward but significant. QumulusAI and Shadeform have locked in a two-year deal to deploy 85 NVIDIA H200 nodes—split into 61-node and 24-node clusters—at QumulusAI’s Kansas City facility. This isn’t a speculative play; it’s a direct response to the massive, scaling demand from production inference networks that need more than just intermittent cloud access. By marrying QumulusAI’s distributed data center strategy with Shadeform’s marketplace, the two companies are effectively creating a shortcut for enterprises that are tired of the procurement headaches and volatility of the broader GPU market. QumulusAI is leaning hard into its “infrastructure-first” identity, backed by a $45 million convertible note facility that gives them the capital to move fast. They’ve built a network capable of deploying fully operational GPU-as-a-Service environments in under 90 days, a timeline that feels like lightspeed in an industry often bogged down by supply chain friction. For Shadeform, this is a strategic play to offer their users a more reliable, dedicated tier of compute, moving beyond the fragmented nature of typical GPU marketplaces to provide something that actually feels like enterprise-grade infrastructure. Looking at the broader landscape, we are witnessing a fundamental pivot in how AI compute is consumed. The era of “cloud-agnostic” experimentation is giving way to a need for deep, vertical integration. As inference workloads grow, the cost of latency and the risk of supply instability become existential threats to AI startups. We’re going to see more of these “infrastructure-as-a-partnership” models, where compute providers and deployment platforms form tight, long-term alliances to guarantee capacity. The winners in the next three years won’t necessarily be the ones with the most capital, but the ones who have secured the most predictable, high-performance compute pipelines. Infrastructure availability is no longer just a technical hurdle; it is the primary competitive moat. If you can’t guarantee your inference engine has the H200s it needs when the traffic spikes, your model’s performance—and your business model—will eventually hit a wall. The Kansas City deployment is a clear indicator that the industry is maturing, prioritizing reliability and long-term commitment over the fleeting convenience of the public cloud. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

TYSONS CORNER, VA – 03/06/2026 – (SeaPRwire) – As software companies increasingly integrate artificial intelligence, automation, and self-service analytics into their products, demand is growing for embedded analytics platforms that can scale efficiently while delivering strong customer experiences. In this evolving market, customer satisfaction and long-term platform performance have become key indicators of vendor success. Reflecting these trends, Qrvey has once again been recognized among the leading providers in the business intelligence and analytics sector. Qrvey, an AI-native embedded analytics platform developed for SaaS companies, announced that it has achieved multiple leadership distinctions in the 2026 Wisdom of Crowds® Business Intelligence Market Study published by Dresner Advisory Services. The recognition marks the fifth consecutive year the company has been identified as a leading vendor in the annual industry assessment. The latest report highlights Qrvey’s strong performance across several evaluation categories based entirely on customer feedback. According to the study, the company earned leadership positions in the Customer Experience Model and Vendor Credibility Model, while also being recognized as a High Value/Low Total Cost of Ownership (TCO) provider. Qrvey achieved placement in the upper-right quadrant of all three collective evaluation models, indicating high ratings for both product capabilities and overall vendor performance. The results suggest continued customer confidence in the company’s ability to deliver embedded analytics solutions that align with evolving SaaS market requirements. Howard Dresner, Founder and Chief Research Officer of Dresner Advisory Services, noted that Qrvey’s ratings remained consistently above industry averages across nearly every measured category in the 2026 study. He highlighted several areas in which the company received particularly strong customer evaluations, including understanding customer business needs, flexibility, product integration, consulting services, technical support continuity, and organizational integrity. The report also marks the fifth consecutive year that Qrvey has achieved a perfect customer recommendation score, a distinction that underscores sustained customer satisfaction and loyalty over an extended period. Unlike analyst-driven assessments, the Wisdom of Crowds® Business Intelligence Market Study relies exclusively on direct customer input to evaluate business intelligence vendors. Companies are assessed using Dresner Advisory Services’ proprietary 33-measure evaluation framework, which examines product capabilities, customer experience, vendor performance, and overall value delivered to users. According to Qrvey Founder and CEO Arman Eshraghi, the growing role of AI within software products has increased the importance of embedded analytics infrastructure. He stated that the company’s continued recognition reflects not only product innovation but also its commitment to long-term customer relationships, flexibility, and measurable business outcomes. Designed specifically for multi-tenant SaaS environments, Qrvey’s platform enables software providers to embed analytics, automation, AI-driven experiences, and customer-facing insights directly into their products without the need to build and maintain complex analytics infrastructure internally. The platform focuses on helping product teams accelerate deployment while delivering secure, scalable, and self-service analytics capabilities to end users. As SaaS providers continue investing in AI-powered product experiences, embedded analytics platforms are expected to play an increasingly important role in helping organizations transform operational data into actionable insights. Industry recognition based on customer feedback may serve as an important benchmark for vendors competing in this rapidly evolving market. About Qrvey Qrvey is a provider of multi-tenant embedded analytics solutions designed specifically for SaaS companies. Its AI-native platform combines self-service analytics, automation, and AI-powered insights within a cloud-native architecture. By enabling software providers to integrate advanced analytics directly into their applications, Qrvey helps organizations enhance customer experiences, improve product agility, and support long-term business growth.