Panzura CloudFS 8.7 Solves the Data Management and Data Quality Issues of AEC


Panzurais launching thelatest release ofthe Panzura CloudFShybrid cloud file platform—offeringcapabilities that lowerbothinfrastructureand managementcosts as firms scale across offices, transfer controlto customer IT teams, and begin to deployagentic AI across their enterprise.

According to Panzura,the platform isdesigned forarchitecture, engineering, and construction (AEC) firms and other organizations whereprojectfilesrepresentcore intellectual property (IP).

These organizationsfacea dualimperative.They need high-concurrency, low-latency collaboration across offices without sacrificingversionintegrity or security.Andtheymustensure decades of project knowledge, from design precedents to cost and inspection records, are accessible toAI without costly infrastructure overhauls, the company said.

Panzura CloudFS,aglobally distributed file system, delivers bothimperativesviaintegrated data governance, data loss protection and recovery, and AI-enabled project intelligencefrom a single platform.

CloudFS 8.7 advances this architecture with measurable reductions in infrastructure cost and operationaloverhead, anditremoves the barriers to AI-driven project intelligence.

“Firms whose competitive advantage is locked in their projectdatadon’twantanother generic file sharing solution with a cloud backend.We know the AEC industry better than anyone—theyneed ascalableself-serviceplatform built for BIM coordination acrossa dozenoffices, construction document sets inpetabytes, and field teams accessing files from a jobsite with inconsistent connectivity.CloudFS means no rip-and-replace. No large-scale consulting engagements. Just your file platform doing what it shouldandpavinga path toagentic deployments,”said Dan Waldschmidt, CEO, Panzura.

CloudFS 8.7 removes thelegacydatasilosthatimpedeAI-driven intelligence, Panzura said.

“The AI conversation has beenalmost entirelyabout models and algorithms. Butarealbarrieris accessingdatathat matters.Thislatest releaseestablishesthe file platform asafoundation foradvancedAI workloads—we took a considered approach to howagentic AI wouldimpactpolicies and data management,”said Karthik Ramamurthy, chief product officer, Panzura.

Thenewcapabilitiesin CloudFS 8.7are architectural prerequisites for AI-driven data intelligence.Each removes a structural barrier between an organization’s file data and the AI workloads that can operationalize it.

When an AEC firm can query decades of project data to inform a new proposal, pulling relevant specifications, cost benchmarks, and lessons learned,that’sa competitiveadvantage in pursuit. CloudFS 8.7 makes this possible byconsolidatingproject files, metadata, and version history into a single governed namespace where AI pipelines can reach them, the company said.

The same platform that manages and secures the data also prepares it for intelligent retrievalwithno separate data lake, no migration project, no integration middleware standing between institutionalexpertiseand the AI workloads that can unlock it.

TheCloudFSplatformoperatesin three modes. Active Archiveis forcompliant,long-term retention, Multi-site NAS is for regional file sharing across offices replacing traditional NAS withonenamespace supporting SMB, NFS, and S3 protocols, and True Collaboration is for real-time, high-concurrency coordination where multiple disciplines work on interconnectedfilessimultaneously.

Active Archive, Multi-site NAS, and True Collaboration are distinct, addressing different use cases, from long-term storage and multi-site file sharing to real-time global collaboration and organizations typically adopt them based on their workload requirements.

Eachprovidesadditionalcapabilities beyond theprevious, applied at the project level within a deployment, so completed work sits in archive while active projects run in full collaboration, the company said.

CloudFS 8.7 is available to new and existing customers.

For more information about this news, visit www.panzura.com.

Leave a Reply

Your email address will not be published. Required fields are marked *