The Pure AI Blog Short Dispatches from AI's Front Lines
The Pure AI Blog is researched, fact-checked, edited and updated by the editors of PureAI.com, with writing assistance from AI. To submit your company's press release for consideration, contact [email protected].
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
Cribl, a data engine for IT and security, has introduced agentic artificial intelligence capabilities for Cribl Search, designed to help IT and security teams analyze operational data more efficiently. The new features allow AI-driven agents to assist users with searching, analyzing and interpreting machine data collected from across enterprise systems. The enhancements are intended to help teams investigate operational issues and security events more quickly by automating portions of the data analysis process. Cribl Search unifies human-generated context with log ingestion, storage and analysis across data stores.
Cribl Search is used by organizations to explore large volumes of telemetry and log data from infrastructure, applications and security tools. Agentic telemetry delivers AI-speed performance, structures data at ingestion, remains schema-agnostic and uses agentic AI to fuse machine data with human context. By adding agentic AI capabilities, Cribl aims to simplify how teams interact with complex datasets and reduce the time required to identify potential problems. Enterprises are increasingly exploring AI agents that can help automate operational and security tasks.
Posted by Pure AI Editors on 03/11/20260 comments
CData Software, the data layer between AI and ROI, has expanded its Connect AI platform with new tools designed to help organizations develop and deploy AI agents in production environments. The update introduces agent development capabilities intended to help developers connect artificial intelligence models to enterprise data sources. The platform also adds security and governance features aimed at controlling how AI applications access corporate data across databases, SaaS applications and cloud systems. Expanding its managed MCP, new capabilities cover connectivity, context and control, moving AI from experimentation phases to production.
The enhancements are designed to address challenges enterprises face when integrating AI systems with operational data while maintaining compliance and security requirements. The platform focuses on enabling secure data connectivity while supporting the development of AI-powered workflows and automation. Enterprises are increasingly exploring AI agents to automate tasks such as data analysis, reporting and business process execution.
Posted by Pure AI Editors on 03/10/20260 comments
Smartria, a leading cloud-based compliance software platform, has launched two artificial intelligence–driven tools designed to help financial advisory firms automate compliance monitoring and documentation reviews. The new capabilities, called SmartReview and SmartAssist, are intended to help compliance teams analyze communications, documents and regulatory records more efficiently. The tools use AI to identify potential compliance issues and generate summaries or recommendations that help firms evaluate whether activity meets regulatory requirements. Both are powered by hyper-trained LLMs built to respect privacy and confidentiality of customer data.
Smartria demonstrated the new features at the Future Proof Citywide conference, where technology providers and financial firms discussed the growing role of automation in regulatory compliance. Compliance technology vendors are increasingly incorporating AI to reduce manual review workloads. As firms handle larger volumes of digital communications and records, automated analysis tools are becoming a key part of compliance operations.
Posted by Pure AI Editors on 03/10/20260 comments
Teradata, an automation specialist for enterprises, announced new capabilities designed to enable AI agents to autonomously process multiple types of enterprise data, including text, images and audio. The update allows organizations to build and run AI agents that can analyze and act on multimodal data within Teradata’s analytics and data platform. These agents can automate tasks such as extracting insights from documents, analyzing media content and supporting decision-making workflows across enterprise systems. Enterprises can make use of the integrated approach with its diverse data processing capabilities, autonomous workflows, context-aware intelligence, accelerated development and deployment and the reduction of data silos.
The goal is to help organizations operationalize AI agents within large-scale data environments without requiring teams to move data across multiple platforms. The capability is intended to integrate with existing analytics, data governance and machine learning workflows already running on the platform. Enterprises are increasingly experimenting with AI agents that can carry out multi-step tasks using corporate data. The new agentic capabilities will be generally available to all Teradata customers from April 2026.
Posted by Pure AI Editors on 03/10/20260 comments