Continued global expansion brings the Content Innovation Cloud to the Asia-Pacific region, enabling organizations to scale AI‑driven operations in compliance with local data residency requirements
SYDNEY, June 2, 2026 /PRNewswire/ -- As AI adoption accelerates, data sovereignty has become a deciding factor for regulated industries across Asia-Pacific region. This is why Hyland, a global leader in enterprise content management (ECM) and the pioneer of the content-powered agentic enterprise, today announced the continued expansion of its AI‑native Content Innovation Cloud™ across the Asia-Pacific region in collaboration with Amazon Web Services (AWS). Building on their strategic collaboration agreement (SCA), this expansion brings Hyland to the AWS Asia Pacific (Sydney) Region, enabling highly regulated, content-rich industries such as healthcare, financial services, insurance, education, and government, to unlock governed, AI‑ready content and scale agent‑driven operations with greater performance and lower latency.
"With demand for AI-driven enterprise solutions accelerating globally, organizations across the Asia-Pacific region want to take advantage of AI but are mindful of data sovereignty and deploying advanced content and AI capabilities within their own regional infrastructure," said Tim McIntire, chief technology officer at Hyland. "By extending the Content Innovation Cloud into Australia, Hyland is removing that barrier, empowering our customers to move forward with confidence as they modernize core operations and adopt the agentic enterprise."
"This expansion of Hyland's partnership with AWS significantly strengthens the foundation for delivering AI‑native innovation across Australia and the Asia-Pacific region" said Mark Grimes, managing director at Blumark. "With local access to the Content Innovation Cloud, organizations can realize the true benefits of the content‑powered agentic enterprise, and we look forward to working with Hyland to help our customers realize their full potential."
"The next phase of enterprise AI will be defined by how effectively organizations can connect intelligence to real business processes," said Carol Potts, General Manager, ISV, at AWS. "By expanding our partnership with Hyland in Australia, New Zealand and across the Asia-Pacific region, we are helping customers unlock the full value of their content-powered agentic automation and build a trusted foundation for AI innovation on AWS."
Empowering the Agentic Enterprise Across the Asia-Pacific Region
Hyland is advancing its leadership as the pioneer of the content‑powered agentic enterprise by delivering the critical foundation organizations need to scale AI beyond experimentation. This includes the company's latest wave of innovations, including the Enterprise Context Engine, Agent Lifecycle Management, Enterprise Agent Mesh, and headless capabilities for the Content Innovation Cloud that bring together governed content, industry specific context, and agent orchestration into a unified platform. Built on decades of expertise in highly regulated industries, Hyland uniquely enables enterprises to connect AI to real business processes with the trust, control, and domain intelligence required to drive meaningful, scalable outcomes in the age of agentic automation.
By bringing the Content Innovation Cloud closer to where customers operate, Hyland and AWS are enabling their customers across the region to deliver faster, more reliable digital experiences, unlock new revenue opportunities, and scale AI‑driven innovation without compromising governance or compliance.
Hyland will also be bringing its annual user conference, CommunityLIVE, to Melbourne, Australia on 25 August 2026.
For more information on Hyland's platform and solutions, please visit Hyland.com.
About Hyland
Hyland is the pioneer of the Content Innovation Cloud™ , delivering ubiquitous enterprise intelligence to organizations with solutions that unlock actionable insights and drive automation. Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hyland's solutions create the foundation for a connected, agentic enterprise, where teams harness the power of AI to redefine how they operate and engage with those they serve. For additional information on Hyland's platform and services, please visit Hyland.com.
Media contact:
Jason Gerdon
jason.gerdon@hyland.com
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Hyland and AWS Bring the Content‑Powered Agentic Enterprise to Asia‑Pacific, Meeting Customers Where Their Data Lives
TAIPEI, June 2, 2026 /PRNewswire/ -- Life science research is entering an AI era, but most discovery teams still cannot use frontier models at scale. Advanced AI models, molecular simulation tools, scientific databases, inference optimization and GPU infrastructure remain fragmented across separate systems. For many pharmaceutical companies, ingredient innovators, biotech teams, and research groups, this makes AI adoption slow, costly, and technically demanding.
NYB.AI, a Singapore Artificial Intelligence (AI) technology startup developing infrastructure for molecular discovery and life science research, aims to address this gap with Vecura, its agentic AI platform that connects scientific models, biological data, molecular analysis tools, and GPU accelerated computing into a unified discovery workflow.
Vecura 2.0 builds on the original Vecura 1.0 platform, which provided access to AI models and scientific tools for molecular discovery. With the new agentic layer, Vecura 2.0 moves beyond tool access toward workflow execution. It is designed to help research teams define scientific objectives, retrieve relevant context, activate suitable models, compare outputs, and generate structured decision support with less manual coordination.
From model access to agentic workflows
Vecura was built around a simple premise: the next barrier in AI for science is not access to more models. It is the ability to make those models work together in discovery settings. The original Vecura platform brought hundreds of AI models, scientific tools, biological data, and molecular analysis capabilities into connected workflows, helping research teams move across compound analysis, target exploration, formulation research, toxicity assessment, and translational R&D without relying on separate systems at every step.
Vecura 2.0 extends this foundation with an agentic AI layer. The upgraded platform is designed to reason across the workflow by understanding research objectives, retrieving relevant scientific context, selecting suitable models, coordinating execution, comparing outputs, and generating structured next step recommendations. This evolves Vecura from a workflow platform into a more intelligent discovery system that can assist scientists at scale, closer to how real research decisions are made.
This agentic approach allows scientists to focus on research direction rather than infrastructure management. It also supports NYB.AI's broader vision to democratize molecular discovery by making advanced AI models, scientific tools, and GPU intensive workflows more accessible to teams beyond large pharmaceutical organizations and specialized computational labs.
Scaling access through NVIDIA technologies
NYB.AI is strengthening Vecura's agentic architecture for scientific discovery using NVIDIA technologies. As a member of the NVIDIA Inception program for startups, NYB.AI received access to NVIDIA Hopper GPUs through NVIDIA Innovation Lab, along with engineering guidance to advance Vecura's ability to plan, execute, and coordinate complex research tasks. This support enables Vecura to move beyond isolated model execution toward connected workflows where scientific context, model selection, inference, comparison, and decision support operate as one system.
Vecura is powered by NVIDIA technologies spanning agentic orchestration, scientific modeling, data and retrieval, and production deployment - all running on NVIDIA accelerated computing.
NYB.AI is also developing a token based access model for Vecura 2.0. Through platform credits, biopharma companies, ingredient companies, and research teams can access AI powered discovery workflows such as compound screening, bioactivity prediction, and molecular docking. This model allows users to run compute intensive scientific tasks through NYB.AI's platform without needing to build or operate their own infrastructure.
What's next?
NYB.AI is bringing Vecura 2.0 to the NVIDIA Inception Startup Showcase at the Inception Pavilion during InnoVEX 2026 (June 2–5, 2026, Taipei Nangang Exhibition Center). The showcase will give NYB.AI an opportunity to validate Vecura 2.0 with enterprise leaders, investors, ecosystem partners, and international buyers, and strengthens its visibility within NVIDIA Inception ecosystem — demonstrating how agentic AI can move beyond model experimentation into usable research infrastructure for molecular discovery teams.
At InnoVEX 2026, NYB.AI will demonstrate how Vecura 2.0 can support molecular discovery and life science research across pharmaceuticals, nutraceuticals, cosmetics, food science, functional ingredients, and consumer health. The platform reflects NYB.AI's broader mission to make advanced AI discovery infrastructure more usable, scalable, and accessible across the life science ecosystem.
About NYB.AI
NYB.AI is an AI biotechnology company developing infrastructure for molecular discovery and life science research. Its flagship platform, Vecura, is an agentic AI platform that connects AI models, scientific tools, biological data, retrieval systems, accelerated computing, and autonomous workflows to help life science teams shorten discovery cycles and prioritize high-potential candidates.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
NYB.AI Launches Vecura 2.0, Bringing Agentic AI Workflows to Molecular Discovery, with NVIDIA
