The Pure AI Blog Short Dispatches from AI's Front Lines
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VAST Data, an AI operating system company, announced expanded support for NVIDIA AI Blueprints with the availability of VAST Foundation Stacks, an open-source library that extends blueprints into implementations. The data platform is designed to integrate with NVIDIA’s reference architectures and software frameworks, enabling enterprises to build and scale AI workloads more efficiently. The integration focuses on providing high-performance data access for model training and inference, which are critical for large-scale AI deployments. The first Foundation Stacks are based on NVIDIA AI Blueprints for Video Search and Summarization and NVIDIA AI-Q as the initial launches. VAST plans to release additional Foundation Stacks in the coming months that include industry-focused examples.
VAST Data’s platform combines storage, data management and analytics capabilities to support AI and high-performance computing environments. By aligning with NVIDIA Blueprints, the company aims to simplify how organizations deploy infrastructure for generative AI and other advanced workloads. Enterprises are increasingly adopting preconfigured AI architectures to reduce the complexity of building infrastructure from scratch. Foundation Stacks will be available through a public GitHub repository with interactive demos and sandbox environments for customers.
Posted by Pure AI Editors on 03/19/20260 comments
Delta Electronics, a leader in power management and smart green solutions, introduced new artificial intelligence-driven digital twin applications built on NVIDIA Omniverse, focusing on industrial and building automation use cases. The AI digital twins merge physical conditions, sensors and automated controls with photorealistic simulations to arrive at an optimized power-saving solution. By combining real-time data with simulation, the platform is designed to support predictive maintenance, energy management and process optimization.
Delta demonstrated the applications at NVIDIA’s GTC event, highlighting use cases in smart manufacturing and intelligent building systems. The integration with NVIDIA Omniverse enables high-fidelity simulation and visualization of complex environments. Industrial organizations are increasingly adopting digital twin technology to improve operational efficiency and reduce downtime.
Posted by Pure AI Editors on 03/19/20260 comments
Field AI, specialists in deploying general-purpose robots in unstructured environments, announced an expanded collaboration with NVIDIA aimed at accelerating the adoption of artificial intelligence in industrial operations. The is working with NVIDIA to integrate its AI software with NVIDIA’s computing platforms to support automation in sectors such as manufacturing, logistics and field operations. The collaboration focuses on enabling AI systems that can interpret real-world environments and support decision-making in complex industrial settings. By integrating NVIDIA Omniverse libraries to its development pipeline, Field AI aims to deliver demonstratable customer value in environments once deemed too unpredictable for robots. The aim is to support operational insight towards producing a more capable robotic system.
Field AI develops AI-driven systems designed to power autonomous operations, including robotics and field-based workflows. By leveraging NVIDIA’s GPUs and AI frameworks, the company aims to improve performance and scalability for industrial AI deployments. Industrial organizations are increasingly exploring AI to automate physical operations and improve efficiency. FieldAI is also adopting the NVIDIA Physical AI Data Factory Blueprint via the Microsoft Azure toolchain to streamline their synthetic data pipeline and robot training using NVIDIA Cosmos open world foundation models and NVIDIA OSMO.
Posted by Pure AI Editors on 03/19/20260 comments
R Systems, a global product engineering and digital solutions provider, has introduced EXIQO, a platform aimed at helping enterprises integrate and scale agentic artificial intelligence across development and business operations. EXIQO is an AI studio designed to support the deployment of AI agents that can automate tasks, assist with software development and interact with enterprise systems. The platform focuses on integrating AI capabilities into existing engineering workflows to improve productivity and reduce development cycles. EXIQO is built on three pillars: AI native engineers, OptimaAI and delivery methodology, built to accelerate engineering velocity and deliver governed, enterprise-grade execution at scale.
EXIQO enables organizations to orchestrate AI agents across different environments while maintaining governance and control over how models access enterprise data. The platform is intended to support use cases such as code generation, testing and operational automation. Enterprises are increasingly exploring agentic AI systems that can perform multi-step tasks and support software engineering processes. R Systems said, "EXIQO reflects a pragmatic approach, combining talent, platform and a governed methodology to help organizations scale agentic AI with confidence."
Posted by Pure AI Editors on 03/18/20260 comments
Nscale, a builder of hyperscale AI infrastructure, announced a collaboration with Microsoft and NVIDIA aimed at building a new artificial intelligence infrastructure facility in West Virginia, following its acquisition of the Monarch Compute Campus (America's first state-certified AI microgrid) to support enterprise demand for high-performance compute resources. The collaboration will bring Microsoft's 1.35GW of AI compute using NVIDIA's Vera Rubin NVL72 GPUs.
The site will function as an AI factory, providing infrastructure optimized for training and running large AI models. The facility is expected to deliver specialized compute capacity designed for workloads that require significant processing power, including generative AI and advanced analytics. Nscale said the integration of specialized AI infrastructure with Microsoft's global platform is creating a foundation for scalable innovation alongside the most ambitious AI models in the world.
Nscale’s approach focuses on building dedicated environments tailored to AI workloads, rather than relying on general-purpose cloud infrastructure. The company said the facility will support organizations seeking scalable resources for developing and deploying AI applications. The announcement comes as demand for AI infrastructure continues to increase, driven by the growing size and complexity of machine learning models.
Posted by Pure AI Editors on 03/17/20260 comments
Cognizant, an AI builder and technology services provider, announced the launch of Cognizant AI Factory, a platform intended to help enterprises develop and scale artificial intelligence applications and supporting infrastructure. The offering combines consulting, engineering and operational services designed to help organizations move AI initiatives from experimentation to production. Cognizant AI Factory focuses on building the infrastructure, data pipelines and development environments needed to support enterprise-scale AI workloads. The launch aims to unify the management of the AI lifecycle in a single environment, powered by Dell Technologies and NVIDIA AI infrastructure.
The platform is designed to help organizations deploy AI systems across cloud environments while maintaining governance, security and operational oversight. It allows users full control over where clients' AI runs, how it scales and how it is governed. The initiative aims to address challenges companies face when integrating AI models with existing enterprise data and application systems. Features of the AI Factory include sandbox environments for experimentation, an AI resiliency layer for monitoring and a consumption-based pricing model. The launch marks a key step in Cognizant's broader AI builder strategy to integrate advanced models and modernize legacy platforms.
Posted by Pure AI Editors on 03/16/20260 comments
Every, an AI-powered back-office solution platform, has introduced a set of artificial intelligence agents designed to automate back-office functions for startups and small business owners. The new agents announced include AI CFO, AI Bookeeper and AI CHRO, which can handle operational tasks such as bookkeeping, financial reporting and administrative workflows. The goal is to help smaller organizations manage essential business processes without requiring large internal teams or multiple software tools. The new agents offer real-time financial intelligence, automated bookkeeper billing and compliance monitoring for HR policy enforcement.
The system integrates financial data and operational records to help automate routine back-office activities and generate insights that support business management. The platform is designed to simplify workflows that typically require manual coordination across accounting, payroll and other administrative systems. Startups and small businesses have increasingly adopted automation tools to reduce operational overhead. Every offers users more than just automation; the one-stop platform offers advice and guidance on daily office tasks to guide users during decision-making processes.
Posted by Pure AI Editors on 03/16/20260 comments
ProNexis, a lead conversion platform, announced an expansion of its artificial intelligence–powered booking capabilities across its contact center platform, aiming to streamline appointment scheduling and customer engagement. With its strategic partnership with Connex AI, ProNexis is offering a full-scale deployment of its AI-powered automated booking system. The enhanced system enables organizations to automate booking workflows across multiple communication channels, including voice and digital interactions handled by contact center agents. The platform is designed to analyze customer requests and coordinate scheduling with available resources, reducing the need for manual appointment management.
ProNexis aims for the updated functionality to support industries that rely heavily on appointment-based services, such as healthcare, home services and field operations. The deployment offers users scalable tools for marketing, connecting and launching follow-up strategies with potential customers that can generate incremental income. By integrating booking tools directly into the contact center environment, organizations can manage scheduling as part of broader customer support workflows. Contact centers are increasingly adopting AI tools to automate routine service tasks and improve response times.
Posted by Pure AI Editors on 03/16/20260 comments
Pactum, a pioneer in agentic AI for enterprise procurement, has launched a new artificial intelligence agent designed to help organizations align internal purchase requests with supplier negotiation processes. The Requisition Alignment Agent analyzes procurement requests and identifies opportunities to automate supplier negotiations based on predefined sourcing strategies. The tool is intended to help procurement teams evaluate purchase requirements and connect them with supplier agreements or negotiation workflows. Key capabilities of the agent include the ability to automatically verify contract terms, preferred suppliers, price verifications and ensure the correct controls to establish an operational foundation to scale negotiation.
Pactum focuses on AI-driven procurement automation, including systems that negotiate routine supplier contracts and purchasing terms. The new agent aims to streamline how organizations move from internal requisitions to supplier engagement, potentially reducing manual review and accelerating purchasing cycles. Procurement teams have increasingly adopted automation and analytics tools to manage complex supplier ecosystems and rising purchasing volumes. The launch expands Pactum's AI-native procurement platform as the company moves from experimentation to real-world AI application execution.
Posted by Pure AI Editors on 03/16/20260 comments
FluidCloud, a multi-cloud infrastructure company, announced the launch of what it calls a Large Infrastructure Model (LIM), an artificial intelligence system designed to generate infrastructure as code and help enterprises manage multi-cloud environments. LIM can produce production-ready Terraform configurations and assist with tasks such as cross-cloud migrations, infrastructure replication and architectural analysis. According to FluidCloud, the model is designed to understand dependencies across compute, networking, identity and policy layers in cloud environments.
FluidCloud's core capabilities for enterprise-scale multi-cloud operations include full stack cross-cloud replications, Time-Machine Infrastructure states, compliance drift shields, multi-cloud cost comparisons, and modular expert architecture. The platform includes tools intended to replicate infrastructure stacks across different cloud providers, monitor compliance changes and compare cloud costs when evaluating workload placement. FluidCloud said the model can also analyze historical infrastructure states to support validation and rollback scenarios. Enterprises have increasingly adopted multi-cloud strategies to avoid vendor lock-in and improve resilience.
Posted by Pure AI Editors on 03/12/20260 comments