Denodo Advances Trusted Data Foundations for Agentic AI with New Amazon Web Services (AWS) Integrations

New product integrations unify semantics, extend governed data access, and accelerate enterprise AI agent adoption across hybrid and multi-cloud environments

PALO ALTO, Calif., May 18, 2026 (GLOBE NEWSWIRE) — Denodo, a leader in data management, announced new product integrations to support the building and scaling of agentic AI across hybrid and multi-cloud environments supporting customers across financial services, healthcare and life sciences, manufacturing, retail, public sector and others.

As enterprises move beyond AI experimentation to production with a focus on business outcomes, many face common challenges: AI agents fail to deliver reliable outcomes when they lack real-time awareness, operate on incomplete or incorrect data, or act outside governance and compliance boundaries. These are not model limitations, but data challenges.

Denodo addresses this gap by integrating with Amazon Web Services (AWS) data and AI services — including Amazon SageMaker, Amazon Bedrock AgentCore, and Amazon Quick — to extend access into operational and analytical data residing in on-premises, SaaS, and multi-cloud environments. This provides a logical data foundation that delivers live, business-contextual, and governed data across the enterprise, enabling AI agents to operate with confidence, accuracy, and control.

New Integrations:

  • Providing AI Agents with Secure, Enterprise-Scale Data Access
    Denodo extends agentic AI capabilities by combining live, governed data access with centralized control through Amazon Bedrock AgentCore. Denodo provides a trusted data foundation by defining what data is available across the enterprise, enriching it with business context in Denodo’s semantic layer, and ensuring it can be easily accessed, via Denodo’s support for Model Context Protocol (MCP) in accordance with established governance policies. Amazon Bedrock AgentCore also manages how AI agents interact with that data by handling authentication, routing requests, and enforcing access controls. This integration enables organizations to provide AI agents with secure, consistent, and real-time access to the right data across distributed environments, so they operate within business rules while delivering reliable, high-quality business outcomes at scale.
  • Unifying Semantics, Governance, and AI-Ready Data across Hybrid and Multi-Cloud Systems
    Denodo powerfully complements Amazon SageMaker by providing organizations with live, zero-copy access, with consistent semantics, across all their data. This capability spans on-premises, multi-cloud, and sovereign environments via 200+ native connections to enterprise systems such as SAP, Oracle, and Salesforce. Denodo now integrates with Amazon SageMaker Catalog to directly add business metadata and context to the data consumed by AI agents. By leveraging the definitions, classifications, and governance context established within Amazon SageMaker, Denodo ensures that data accessed across both AWS services and non-AWS environments is consistently understood and aligned with business meaning. This gives AI agents the semantic context they need to interpret data correctly, resulting in more accurate, trustworthy outcomes, with integration patterns validated and documented by Denodo. Denodo also provides fine-grained governance controls over non-AWS data sources, with capabilities such as attribute-based access controls, dynamic data masking, and end-to-end lineage capture, which operate alongside native Amazon SageMaker controls for AWS data.
  • Accelerating Insight-to-Action
    Denodo enhances analytics and AI experiences with Quick by enabling organizations to move seamlessly from insight to action. By combining Quick with Denodo’s live, zero-copy access to enterprise data, business users can work with the most current, complete information across distributed environments. The integration with Quick empowers users to create AI-driven workflows, conversational experiences, and automated processes that operate on trusted data without the delays of data movement. As a result, organizations can rapidly develop and validate new AI-driven use cases, significantly reducing time-to-market for autonomous workflows while improving decision speed and business responsiveness.

Driving the Next Phase of Enterprise AI

With these new integrations and capabilities, Denodo delivers a scalable data foundation that powers agentic workflows and automation, helping organizations achieve measurable business outcomes across industries, from financial services and healthcare to manufacturing and retail.

“Agentic AI requires more than powerful models. It requires trusted, real-time, and well-governed data,” said Suresh Chandrasekaran, Executive Vice President at Denodo. “Our collaboration with AWS focuses on delivering a unified data foundation that enables organizations to scale AI agents with confidence across the entire data landscape.”

By combining Denodo’s logical data management platform with AWS AI and data services, organizations can accelerate the adoption of agentic AI while maintaining trust, governance, and control. This enables enterprises to move beyond experimentation to operationalize AI at scale, driving faster decisions, more intelligent automation, and measurable business impact.

With Denodo available in the AWS Marketplace, organizations can get started quickly with free trials, private offers, and other options. Customers can choose the options that best fit their business needs, while streamlining procurement and leveraging the ability to apply Denodo purchases toward AWS Private Pricing Agreements (PPAs).

About Denodo
Denodo is a global leader in data management, powering trustworthy AI agents and applications. The Denodo Platform, an award-winning logical data management solution, transforms enterprise data into reliable insights for AI, analytics, and self-service initiatives. Organizations worldwide use Denodo to deliver AI-ready, business-ready data in a fraction of the time compared to traditional data lakehouses, achieving up to 4x faster time-to-insight, 345% ROI, and 10x better performance. For more information, visit denodo.com.

Media Contact
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GlobeNewswire Distribution ID 9721772

Bitget IPO Prime Taps Into $4T AI Opportunity With OpenAI

Bitget IPO Prime Taps Into $4T AI Opportunity With OpenAI

Bitget IPO Prime Taps Into $4T AI Opportunity With OpenAI

VICTORIA, Seychelles, May 18, 2026 (GLOBE NEWSWIRE) — Bitget, the world’s largest Universal Exchange (UEX), has added OpenAI (preOPAI) as the second listing on its IPO Prime platform, extending pre-IPO access to one of the most closely watched companies in artificial intelligence.

Issued on Solana by regulated partner Republic, preOPAI is designed to track the economic performance of OpenAI following a future public listing. The offering introduces a low entry threshold starting from $100, significantly reducing the capital requirements traditionally associated with pre-IPO participation.

The commitment window for preOPAI will open on May 12, 2026, 8:00 till May 15, 2026, 8:00 (UTC). Allocations will then be distributed between 8:00 till 12:00 (UTC), followed by the start of spot trading at 14:00 (UTC) the same day.

The launch comes amid surging global interest in artificial intelligence, with capital flowing into AI companies and valuations at historic levels. This $4 trillion opportunity, however, has largely remained limited to institutional investors and private networks.

Unlike conventional pre-IPO participation, which often involves long lock-ups and limited liquidity, preOPAI introduces a model where access and flexibility exist together. Once distributed, users are able to actively trade their positions, rather than waiting for a listing event to realize value. In addition, approximately six months post-IPO, holders will have the option to redeem their tokens into stock-linked assets or USDT based on market pricing, providing a defined settlement pathway.

The introduction of preOPAI follows the earlier launch of preSPAX, linked to SpaceX, marking a phased approach to expanding IPO Prime. Each listing is introduced with a focus on structure, liquidity and regulatory alignment, rather than speed of rollout. At the point of publication, preSPAX saw over 13,000 users subscribed, with a commitment value of $171 million.

“The way people access markets is changing,” said Gracy Chen, CEO of Bitget. “We’re moving toward a system where different asset classes and opportunities come together on one platform, and where access is no longer limited by structure. That’s the direction we see for the future of finance, and what we are building toward here at Bitget, the Universal Exchange.”

The introduction of preOPAI builds on IPO Prime’s broader framework, where digital assets are structured to reflect economic outcomes rather than direct equity ownership. This approach, combined with issuance through a regulated partner, Republic, Bitget establishes a more structured foundation for tokenized pre-IPO exposure compared to typical token launch models.

Within Bitget’s Universal Exchange model, IPO Prime continues to extend the platform’s reach across the investment lifecycle. With crypto, tokenized traditional assets, and now pre-IPO exposure integrated into a single system, UEX is evolving to support how users allocate capital across different stages of opportunity, rather than across fragmented platforms.

For more details on preOPAI, please visit here.

About Bitget

Bitget is the world’s largest Universal Exchange (UEX), serving over 125 million users and offering access to over 2M crypto tokens, 100+ tokenized stocks, ETFs, commodities, FX, and precious metals such as gold. The ecosystem is committed to helping users trade smarter with its AI agent, which co-pilots trade execution. Bitget is driving crypto adoption through strategic partnerships with LALIGA and MotoGP™. Aligned with its global impact strategy, Bitget has joined hands with UNICEF to support blockchain education for 1.1 million people by 2027. Bitget currently leads in the tokenized TradFi market, providing the industry’s lowest fees and highest liquidity across 150 regions worldwide.

For more information, visit: Website | Twitter | Telegram | LinkedIn | Discord

For media inquiries, please contact: [email protected]

Risk Warning: Digital asset prices are subject to fluctuation and may experience significant volatility. Investors are advised to only allocate funds they can afford to lose. The value of any investment may be impacted, and there is a possibility that financial objectives may not be met, nor the principal investment recovered. Independent financial advice should always be sought, and personal financial experience and standing carefully considered. Past performance is not a reliable indicator of future results. Bitget accepts no liability for any potential losses incurred. Nothing contained herein should be construed as financial advice. For further information, please refer to our Terms of Use.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/4c4d6ab7-3943-496f-becb-b01616717899

GlobeNewswire Distribution ID 1001182530

Telefónica Germany Migrates 4G/5G Voice Services of First 100K Customers to Mavenir Cloud-Native IMS Technology

Milestone Move to IMS on AWS Achieved as Operator Transitions 
Fixed and Mobile Subscriber Base to Mavenir’s Web-Scale IMS Solution

RICHARDSON, Texas, May 18, 2026 (GLOBE NEWSWIRE) — Mavenir, the software company building Cloud-Native, AI-by-design mobile networks, today announces that Telefónica Germany has successfully migrated the first 100K mobile customers to 4G/5G voice services on Mavenir’s cloud-native IMS solution built on the Amazon Web Services (AWS) Cloud. Telefónica Germany is now the first mobile operator in Europe to deploy such a capability with production subscribers in a public cloud. The migration milestone was achieved in Q1 2026 as part of a multi-year transformation project spanning both fixed and mobile IMS networks.

Under a multi‑year contract extension announced with Telefónica Germany in February 2025, Mavenir began extensive lab validation ahead of moving the operator’s 4G/5G voice services in Germany from Mavenir’s virtualized IMS (vIMS) to Mavenir’s cloud‑native IMS platform. Both companies are developing a comprehensive automation framework, which is expected to streamline operations and accelerate the delivery of new features and updates. During 2026, Mavenir expects to migrate the first few million mobile customers to the new solution running on AWS Cloud. The full migration is scheduled for next year, with all sites set to be deployed using automation.

Matthias Sauder, leading Technology & Unified Connectivity at Telefónica Germany, commented: “This milestone marks a pivotal stage in transitioning our core network and telecom workloads to public cloud infrastructure. Telefónica Germany’s cloud strategy is built on our firm belief in agility, transparency and advanced automation, and this migration of our mobile voice services to Mavenir’s cloud-native IMS solution reflects our progressive vision for evolving beyond traditional network models. Mavenir has been a trusted and proven partner in delivering best quality, future ready services. We are looking forward to driving the next phase of our network evolution jointly – unlocking new levels of efficiency and innovation and creating new value for our customers and across our operations.”

Brandon Larson, SVP & General Manager, Cloud, AI & IMS Business Strategy at Mavenir, added: “We share this achievement with Telefónica Germany as it uplifts the first 100,000 customers to 4G/5G voice services on our IMS solution running seamlessly on AWS. Forward‑thinking operators are embracing cloud technologies to prepare for an AI‑native, fully automated future, and this transition demonstrates Telefónica Germany’s clear leadership in that journey. Mavenir’s cloud‑native IMS provides the foundation to modernize and future‑proof mobile voice services, enabling new levels of agility while unlocking AI‑driven innovation and fresh monetization opportunities for the years ahead. Today’s milestone is an important step in realizing Telefónica Germany’s strategic shift to cloud-native technologies, and a validation of its ongoing trust in Mavenir as a partner for the next era of network cloudification and automation.”

Mavenir’s cloud-native, web-scale IMS solution delivers the foundational technology for next-generation mobile networks, supporting voice over LTE (VoLTE), voice over New Radio (VoNR) and voice over Wi-Fi (VoWi-Fi) and Voice over NTN on a unified IMS core and ensuring seamless voice continuity across 4G, 5G and beyond. Designed to run on any public, private or hybrid cloud, Mavenir IMS services are deployed as stateless, containerized microservices that are purpose-built for fully automated cloud environments – empowering operators to accelerate innovation and introduce new services at scale and at pace.

About Mavenir
Mavenir is enabling intelligent, automated, programmable networks through the development of telco-first, cloud-native, AI-by-design software solutions for mobile operators. The company’s deep telco domain expertise has been proven through deployments with 300+ operators globally in over 120 countries, which together serve more than 50% of the world’s subscribers. Mavenir combines its deep telco experience with the cloud and IT expertise and data science skillsets essential to solving real customer challenges. Its proven software solutions are AI by design, delivering the AI-native future and operators’ evolution to TechCos. ​For more information, please visit www.mavenir.com

Media Contacts

Mavenir PR Contacts:
Emmanuela Spiteri
[email protected]

GlobeNewswire Distribution ID 9721985

CGTN: Head-of-state diplomacy anchors growing China-Russia partnership

Ahead of Russian President Vladimir Putin’s visit to China from May 19 to 20, CGTN has published an article examining the evolution of China-Russia relations at a historically significant moment.

The piece highlights how sustained head-of-state diplomacy has strengthened political mutual trust and how China and Russia have developed a model of major-country relations characterized by mutual respect, peaceful coexistence and win-win cooperation, offering a clear example of stability and continuity in a turbulent world.

BEIJING, May 17, 2026 (GLOBE NEWSWIRE) — At the invitation of Chinese President Xi Jinping, Russian President Vladimir Putin will pay a state visit to China from May 19 to 20, a fresh demonstration of the close high-level exchanges that have become a distinctive feature of China-Russia relations in the new era.

Putin’s visit comes at a historically significant moment. This year marks the 25th anniversary of the signing of the China-Russia Treaty of Good-Neighborliness and Friendly Cooperation and the founding of the Shanghai Cooperation Organization (SCO), as well as the 30th anniversary of the establishment of the China-Russia comprehensive strategic partnership of coordination.

Over the past decade, head-of-state diplomacy has played a central role in steering bilateral ties through a rapidly changing global landscape. Since 2013, Xi and Putin have maintained frequent interactions. Xi has visited Russia 11 times, while Putin has traveled to China 13 times, underscoring the enduring strength and strategic nature of bilateral relation

Head-of-state diplomacy provides strategic guidance

“The frequency and depth of their interactions are rarely seen anywhere else in the world,” said Zhao Long, a research fellow at the Center for Russian and Central Asian Studies at the Shanghai Institutes for International Studies.

He noted that the two leaders have met more than 40 times over the past decade, and that head-of-state diplomacy has become a strong pillar of the high level of mutual trust and a key driving force behind practical cooperation across a wide range of sectors.

In March 2013, Russia became the first country Xi visited after taking office as Chinese president. In 2019, the two sides upgraded bilateral relations to a comprehensive strategic partnership of coordination for a new era, the highest level in the history of bilateral relations.

In 2025, Putin visited China to attend the SCO summit and commemorative events marking the 80th anniversary of the victory in the Chinese People’s War of Resistance against Japanese Aggression and the World Anti-Fascist War. On February 4 this year, Xi and Putin held a video meeting to discuss future development of bilateral ties and their coordination on international platforms.

Under the guidance of the two heads of state, China and Russia have continuously deepened political mutual trust and firmly supported each other on issues concerning their core interests, including sovereignty, security and development. The two sides have also strengthened coordination on major international platforms such as the United Nations, SCO, BRICS, APEC and the G20, jointly opposing unilateralism and contributing to build a multipolar world.

Xi has previously stated that China and Russia have explored a new path for neighboring major countries to get along with each other, characterized by non-alliance, non-confrontation, and not targeting any third party, setting an example of a new type of major-country relations.

Practical cooperation reaches new heights

With deepening political mutual trust, the two countries have achieved fruitful results through extensive practical cooperation across fields such as trade, energy, and culture.

Faced with global headwinds, the two countries’ economic and trade cooperation has continued to expand, with the two sides actively advancing the alignment between the Belt and Road Initiative (BRI) and the Eurasian Economic Union. More than 70% of China-Europe freight trains under the BRI pass through Russia en route to Europe, with the number of trips continuing to reach record highs.

China has remained Russia’s largest trading partner for 16 consecutive years. According to the latest data from China’s Ministry of Commerce, bilateral trade reached $227.9 billion in 2025, surpassing the $200 billion mark for the third consecutive year. In the first quarter of this year, bilateral trade totaled $61.2 billion, up 14.7% year on year.

People-to-people exchanges have also continued to flourish. The two countries have jointly organized a range of exchange programs over the years, including language years, tourism years, youth exchange years and cultural years.

During the 2024-2025 China-Russia Years of Culture, the two countries held a series of cultural exchange activities. The original Chinese dance drama Wing Chun was performed at Moscow’s Bolshoi Theatre, while performances in China by Russia’s Mariinsky Theatre Orchestra and the Bolshoi Ballet were met with overwhelming demand. In 2025, China and Russia also introduced a mutual visa-free policy, triggering a tourism boom between the two countries.

From deepening political mutual trust to expanding practical cooperation and growing people-to-people exchanges, China and Russia have continued to strengthen their bilateral friendship.

Against a backdrop of growing global uncertainty, the upcoming meeting between the two heads of state is expected to further advance bilateral ties, deliver greater benefits to the two peoples, and contribute more stability and positive momentum to a changing world.

https://news.cgtn.com/news/2026-05-17/Head-of-state-diplomacy-anchors-growing-China-Russia-partnership-1NdoTiyrmVi/p.html

Contact:
CGTN Digital
[email protected]

GlobeNewswire Distribution ID 9721804

Bitget UEX Report: Retail Investors Move Beyond Crypto as 52% Add Equities And 51% Use AI

Bitget UEX Report: Retail Investors Move Beyond Crypto as 52% Add Equities And 51% Use AI

 

Bitget UEX Report: Retail Investors Move Beyond Crypto as 52% Add Equities And 51% Use AI

Bitget UEX Report: Retail Investors Move Beyond Crypto as 52% Add Equities And 51% Use AI

VICTORIA, Seychelles, May 14, 2026 (GLOBE NEWSWIRE) — Bitget, the world’s largest Universal Exchange (UEX), has released the Bitget User Asset Allocation Report 2026 with data showing that retail investors are expanding beyond crypto into commodities, equities, and AI-assisted investing as portfolio construction becomes more diversified across global asset classes. The findings combine trading activity on Bitget with responses from more than 6,000 users globally.

Crypto remained the main source of trading activity in Q1 2026, with 86% of surveyed users holding crypto assets. Crypto accounted for nearly all trading volume in early January before stabilizing in a 60% to 80% range by March as participation broadened into other markets. Over the same period, trading in traditional assets led by gold rose from near zero to between 20% and 40% of total activity, marking the strongest quarterly increase recorded for non-crypto assets on Bitget.

The data highlighted that 52% of users globally now hold equities alongside crypto, while 35% hold gold or other precious metals, making commodities the most widely adopted non-crypto asset category among surveyed participants. AI and precious metals or crude oil emerged as the two themes users most closely associate with investment opportunities in 2026.

Among high-net-worth participants, diversification is accelerating further. Bitget users recorded an average annual return of 13% in 2025, while around 6% of VIP users achieved annual returns between 51% and 100%. Among surveyed high-value users, 74% said they plan to expand across crypto, equities, and commodities in 2026 to manage risk more actively.

Regional trading preferences continue to reflect local macro conditions. In East Asia, 60% of users ranked avoiding currency conversion as a key reason for using USDT settlement, while 48% prioritized avoiding traditional account-opening requirements. In Southeast Asia, 46% of users identified leverage access as a major reason for trading traditional assets. In Latin America, 78% said diversification and protection against inflation or currency depreciation are their main reasons for holding both crypto and traditional assets.

AI adoption is also becoming part of core trading behavior. 51% of surveyed users said they already use AI tools to support investment decisions. Bitget’s AI products, including GetAgent, GetClaw, and Agent Hub, are increasingly used to interpret earnings releases, commodity price moves, macroeconomic developments, and onchain signals across asset classes.

Gracy Chen, CEO of Bitget, said: “Retail trading behavior is becoming more macro-aware. Users are moving capital across asset classes based on liquidity, volatility, and market access, and they increasingly expect one platform to support that efficiently. Stablecoin-based settlement is becoming a practical entry point for broader market participation. The stronger demand for commodities, equities, and AI tools shows that users are building portfolios around global signals, not around a single asset category.”

Survey results also show a strong demand for the Universal Exchange model. 71% of users identified USDT settlement as the most important feature, while 65% ranked the fast switching across crypto, equities, forex, and commodities within one account as a top priority. Users consistently described the ideal trading platform as one that combines global asset access, stablecoin settlement, centralized liquidity, transparent reserve verification, and AI-assisted decision tools within one system.

For more information, please visit here.

About Bitget
Bitget is the world’s largest Universal Exchange (UEX), serving over 125 million users and offering access to over 2M crypto tokens, 100+ tokenized stocks, ETFs, commodities, FX, and precious metals such as gold. The ecosystem is committed to helping users trade smarter with its AI agent, which co-pilots trade execution. Bitget is driving crypto adoption through strategic partnerships with LALIGA and MotoGP™. Aligned with its global impact strategy, Bitget has joined hands with UNICEF to support blockchain education for 1.1 million people by 2027. Bitget currently leads in the tokenized TradFi market, providing the industry’s lowest fees and highest liquidity across 150 regions worldwide.

For more information, visit: Website | Twitter | Telegram | LinkedIn | Discord
For media inquiries, please contact: [email protected]

Risk Warning: Digital asset prices are subject to fluctuation and may experience significant volatility. Investors are advised to only allocate funds they can afford to lose. The value of any investment may be impacted, and there is a possibility that financial objectives may not be met, nor the principal investment recovered. Independent financial advice should always be sought, and personal financial experience and standing carefully considered. Past performance is not a reliable indicator of future results. Bitget accepts no liability for any potential losses incurred. Nothing contained herein should be construed as financial advice. For further information, please refer to our Terms of Use.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/db27ba82-5ba8-43e0-a8b9-9187d81c991b

GlobeNewswire Distribution ID 1001181953

Quest Software Extends Data and AI Leadership with Quest Data Modeler and Quest Data Intelligence, Enhancing its Trusted Data Management Platform

New capabilities deliver cloud-native modeling, AI-powered policy management, and an expanded library of QuestAI assistants, giving modern data teams a single, governed foundation for analytics and AI initiatives — from data structure to data access

AUSTIN, Texas, May 13, 2026 (GLOBE NEWSWIRE) — Quest Software, a global leader in data management, cybersecurity and platform modernization, today announced two major releases to the Quest Trusted Data Management Platform, the industry’s only unified, end-to-end SaaS platform for trusted, AI-ready data. Building on the Automated Data Product Factory, the transformative new capability introduced earlier this year, the platform’s new AI-powered capabilities deliver innovative technology for modern data teams with the release of Quest Data Modeler, a cloud-native data modeling tool, and Quest Data Intelligence, which expands the library of AI assistants spanning governance, lineage, compliance, data products, data quality, and natural-language access to governed data. To learn more, visit: quest.com/data-management-platform.

Most organizations stitch together separate data modeling tools, governance suites, and AI assistants, leaving them with multiple naming definitions, broken audit trails, and AI assistants running on ungoverned data. Quest Data Modeler and Quest Data Intelligence, working jointly within the Quest Trusted Data Management Platform, eliminates that fragmentation, giving customers a trusted, reliable experience with a shared understanding of their data. Data modeling establishes the logical definition and naming standards, and data governance keeps those standards consistent across the platform creating consistent business terms wherever data is consumed. QuestAI assistants speak the same language to every user. The result is one platform, one audit trail, and one shared understanding of data from how it is structured to how it is consumed.

”Trusted data is the backbone of any modern AI strategy, and our continued innovation is helping organizations turn AI ambition into real business value – with lower risk, higher accuracy, and the trusted data that makes faster AI deployment possible,” said Michael Laudon, Chief Product and Technology Officer, Quest Software. “At the pace we’re all moving in the AI era, trust can’t be tacked on after the fact – it has to be baked in from the start, or AI initiatives stall. That’s why we designed the Quest Trusted Data Management Platform with multiple entry points, each aligned to different stages of enterprise data and AI maturity, so we can meet our customers where they are. Some organizations are just beginning to address data visibility and quality; others are operationalizing governance and lineage to meet regulatory and risk requirements; and the most advanced are managing data as a product making it continuously trusted, reusable, and scalable for AI, analytics, and automation. By adding AI-powered data modeling and data intelligence, we are providing organizations with a first-of-its-kind solution that spans the entire data lifecycle, and helps them achieve trusted, AI-ready data faster – no matter where they are in their journey.”

“The bottom line is, there is no trusted AI without trusted data, and there is no trusted data without sound data modeling. That is where it all begins,” said Rocky Creel, Executive Director, JP Morgan Chase. “Fragmented data landscapes, inconsistent definitions, and manual processes slow everything down and erode confidence in what we deliver downstream. Quest Software’s data modeling solutions give us the rigor and consistency we need at the foundation through well-defined structures, shared semantics, and governed designs that every downstream capability can build from. When your models are right, governance, lineage, and AI readiness follow. That’s why Quest’s continued innovation in data modeling is so critical in helping to build a scalable, trusted, AI-ready data ecosystem.”

Across every industry and organization, data teams are dealing with fragmented, untrusted data that limits their AI readiness, accelerating regulatory compliance, and disparate tools and definitions that erode trust in data product outputs. Existing solutions have provided support for one of these problems, whereas the Quest Trusted Data Management Platform addresses all three within a single offering, and is built for how modern data teams work. With Quest Data Modeler and Quest Data Intelligence, the Trusted Data Management Platform now governs the two layers that matter most in the modern data stack – how data is modeled, and how data is governed. No other solution covers both in a single offering.

Quest Data Modeler is purpose-built for modern data stacks and to eliminate the trade-off between legacy tools that lack modern collaboration, and lightweight SaaS-enabled tools that lack governance. Drawing on Quest’s leadership in data modeling, it combines AI-powered data modeling with enterprise-level governance in a single offering, delivering real-time collaboration, governed business definitions, and standard naming across hybrid and cloud environments including Microsoft Fabric, Databricks, Snowflake, and others. Quest Data Modeler capabilities include:

  • AI-Assisted Modeling, a natural-language interface that generates and refines models, suggests consistent naming conventions, and accelerates delivery through proposal-and-review workflows. Modeling cycles now drop from weeks to hours without sacrificing the audit trails that organizations require.
  • Real-Time Collaborative Modeling allows data architects, analytics engineers, business analysts, and data stewards to work in a single live workspace, with comments and discussions handled directly in the modeling workspace to eliminate siloed work.
  • Enterprise Model Repository delivers a centralized Mart repository with model locking, version history, multi-user conflict resolution and controlled change management, giving data teams the rigor required for large, multi-team programs and a governance infrastructure that other cloud-native modelers don’t have.
  • Full-Stack Modeling includes conceptual, logical, and physical data modeling in one place with visibility across every layer, ensuring that “customer” and “revenue” mean the same thing across every team, dashboard and AI system.
  • erwin Heritage and Hybrid Coexistence giving the tens of thousands of organizations that rely on existing erwin investments now can migrate assets, maintain hybrid workflows, and move to the cloud at their own pace, giving them the ability to protect decades of modeling discipline without starting over — a path no cloud-native competitor can match.

Quest Data Intelligence builds on Quest’s history of unmatched and proven data intelligence and governance capabilities, infusing AI-driven innovations to directly help organizations deliver trusted, AI-ready data at the speed and scale modern AI demands while reducing regulatory risk. Quest Data Intelligence capabilities include:

  • AI-Powered Policy Manager delivers governance that keeps pace with regulation instead of chasing it. This feature generates policies directly from some of the most stringent regulatory frameworks – including the EU AI Act, National Institute of Standards and Technology (NIST) AI Risk Management Framework and GDPR, with real-time policy enforcement at the point of data access, delivering a policy-as-code approach backed by continuous compliance monitoring and full audit trails.
  • Expanded QuestAI Assistant Library builds on the QuestAI Stewardship Assistant and helps organizations develop business glossaries up to 75 percent faster and onboards new data sources up to 10x faster. New assistants now span glossary and ownership, data lineage, compliance, data products and data quality.
  • Universal Semantic Assistant provides natural-language access to governed, trusted insights powered by Quest’s semantic layer, closing the persistent gap between business questions and the technical data that answers them.

MDSap Tech, a Quest Platinum Partner and SAP Gold Partner within the Midis Group ecosystem, brings more than 30 years of experience helping organizations across Europe, the Middle East and Africa modernize data management, analytics, and digital transformation strategies. “Quest Software is taking a strong step forward with the latest evolution of data modeling, making it more collaborative, accessible, and efficient. The Quest Data Modeler has the potential to significantly broaden participation beyond traditional technical users, enabling business users to play a more active role in the modeling process, which is hugely important for all organizations,” said Ömer Akgül, Technology and Analytics Solutions Manager, MDSap Tech. “This new offering can bring organizations substantial benefits, including improved alignment between business and IT, faster iteration cycles, and more accurate representation of business needs. The integration of AI-powered capabilities stands out as a key enabler, helping to simplify complex modeling tasks and accelerate productivity.”

Tecnet Dati has more than 30 years of experience as an IT consulting firm offering services across AI, advanced analytics, data governance and management, and more, and is a Quest Platinum+ Partner. “The user interface is much lighter, while still providing the substance and core functionality to someone that might not be as experienced with data modeling,” said Renato Comes, Sales and Marketing Director, Tecnet Dati. “With integration with the Mart repository, this will allow implementation of a hybrid environment where downstream consumers who are less technical can build the models to meet their business needs, while modeling teams can refine them from a more in-depth standpoint. It builds a modelling ecosystem of collaboration, speed and scale.”

About Quest Software

Quest Software creates technology and solutions that build the foundation for enterprise AI. Focused on data management and governance, cybersecurity, and platform modernization, Quest helps organizations address their most pressing challenges through trusted, AI-ready data, secure identities, and modernized platforms. Around the globe, more than 45,000 companies, including more than 90% of the Fortune 500, count on Quest Software. For more information, visit www.quest.com or follow Quest Software on LinkedInFacebook, and X (formerly Twitter).

Media contact:

Matt Hurst
Head of Corporate Communications
[email protected]

GlobeNewswire Distribution ID 9719184