PoINT Software and Systems confirms its leadership in data management

Almost 4 years after we met in Paris PoINT Software & Systems we had the privilege to talk again with Thomas Thalmann, CEO, in Sofia, Bulgaria, for the 67th edition of The IT Press Tour.

PoINT is a privately held German software vendor founded in 1994, with roots in storage and archiving dating back to 1985 through work with Philips and Digital Equipment Corporation. Certified as "Software Made in Europe" and recipient of the Storage Newsletter Cloud Storage Award 2026, the company's core mission centers on helping organizations manage data growth efficiently, reduce costs, and build cyber-resilient storage infrastructures.

The company frames its market relevance around five intersecting categories of pressure facing organizations today: explosive growth in unstructured data and migration complexity on the technical side; rising storage and energy prices on the economic side; data sovereignty concerns on the political side; compliance, archiving obligations, and cybercrime risk on the legal side; and CO2 footprints and e-waste on the ecological side. PoINT's response to all five centers on intelligent data tiering, placing the right data in the right place at the right time, with a strong emphasis on tape as a cost-efficient medium that consumes no energy when inactive and provides natural air-gapping against ransomware.

The company offers three main software products. The PoINT Storage Manager, launched in 2007, handles file tiering and archiving by moving inactive files from primary NAS systems to secondary storage including tape, optical, object stores, or public cloud, using policy-based rules while maintaining transparent access for end users. It counts over 200 installations worldwide, with a notable deployment at Daimler spanning multiple locations with WORM, versioning, encryption, and multi-tenancy. The PoINT Archival Gateway delivers S3-to-tape functionality, exposing an Amazon S3-compatible REST API while writing data directly to tape without intermediate disk layers, dramatically reducing costs compared to all-disk or public cloud approaches. Available in Compact and Enterprise editions, the Enterprise configuration scales to 32 interface nodes, 12 tape libraries, 384 drives, and 153.6 GB/s native throughput, with geo-distribution, automatic failover, and erasure coding across two sites. It is also packaged as the ORION S3, a turnkey system developed with BDT offering up to 392PB of native capacity. The PoINT Data Replicator handles backup and replication of object and file data to S3-compatible systems, supporting S3-to-S3 and File-to-S3 modes for use cases including cloud repatriation, legacy NAS migration, and continuous backup via Kafka and SQS change tracking.

Notable customers include Sixt, Daimler, Amgen, PostFinance, and EMBL-EBI, which deployed the gateway to archive Kubernetes workloads via S3 and achieve read/write throughput exceeding 1PB per week. Technology partners include HPE, NetApp, Fujitsu, Dell EMC, Cloudian, and Spectra, with resellers including SVA, Cristie, and Computacenter.

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Leil continues to innovate to address large scale storage challenges

Leil joined The IT Press Tour for the second time following the 1st session in April 2024 for the 55th edition when we unveiled the company to the world.

Leil is an Estonian startup founded in 2022 and headquartered in Tallinn, built by engineers with deep expertise in parallel file systems and distributed storage. Currently seed-funded, the company's core mission is to bridge the growing gap between the economic potential of high-capacity hard disk drives and the legacy software architectures originally designed for flash and SSD storage. In short, Leil builds software that makes HDDs perform the way they were physically designed to, something no mainstream storage platform currently does.

The company frames its market opportunity around what it calls the "SMR Paradox." Shingled Magnetic Recording drives offer significantly more capacity per disk, and hyperscalers like Google, Meta, and AWS have already adopted SMR at 100% across their infrastructure using custom-built software. However, the remaining 90% of the enterprise market has achieved zero SMR adoption, simply because no accessible, enterprise-grade software exists to manage these drives properly. Legacy architectures treat modern high-capacity HDDs like slow SSDs, generating small random I/O patterns that waste 30 to 60% of potential capacity economics, require months of tuning per petabyte added, and demand PhD-level specialist staff to operate.

Leil's answer is a two-layer product stack. Leil FS is an open-source parallel file system strictly optimized for high-capacity HDDs, serving as the community adoption engine and baseline for innovation. Leil OS is the commercial enterprise distribution built on top, offering hyperscale-grade efficiency, a management UI, seamless deployment, and 24/7 SLA support. Both are underpinned by the proprietary SMRT Engine, the company's core intellectual property. Key capabilities include a 25% usable capacity gain over generic software-defined storage on identical hardware, tape-level cost per TB from €0.99/TB/month without the retrieval penalty associated with tape, and deployment in 10 minutes via standard repository commands versus 6 to 12 months for traditional SMR integration projects. On performance, Leil OS serializes writes into sequential streams, claiming to unlock 99.7% of theoretical maximum HDD throughput, while its implementation of SNIA Command Duration Limits prevents tail latency spikes critical for AI training workloads. For resilience, a Head Depopulation technology allows Leil to retire only the failing platter surface of a drive rather than triggering a full rebuild, achieving zero-downtime recovery.

Target use cases span AI and HPC warm-tier storage, active archives, enterprise backup qualified with Veeam and Acronis, media post-production for 4K and 8K workflows, on-premises Kubernetes, and CCTV storage. Real deployments include a national broadcaster using Leil OS for multi-petabyte video-on-demand storage, supercomputing centers running national archive projects, and autonomous driving research programs staging telemetry datasets for ML pipelines. The company goes to market through a 100% channel model with white-label and OEM options, and technology alliance partnerships with WD, Seagate, Nvidia, Intel, and AMD. Because Leil OS is built atop the open-source Leil FS under GPL-3.0, customers always retain a guaranteed exit path with no vendor lock-in.

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StorPool jumps into KVM-based HCI

Fourth session with StorPool Storage with The IT Press Tour in their city, Sofia, Bulgaria, following several articles I wrote as I unveiled the company to the world in 2014.

StorPool is a Bulgarian software-defined storage company founded in 2011, entirely self-funded, profitable, and growing, with roughly 60 employees across Bulgaria and the USA. Serving over one million end users globally across 30 countries on five continents, the company positions itself as the leader in modern block-based software-defined storage, with a mission to create a better world through better data storage and management.

At its technical core, StorPool delivers an ultra-fast, highly reliable, and linearly scalable block storage platform with latency below 0.1ms, up to 100 million IOPS, five-nines availability, and scalability ranging from 10TB to 50+ petabytes with no workload interruption. The platform includes built-in backup and disaster recovery tools and integrates natively with major KVM-ecosystem platforms including OpenStack, CloudStack, Proxmox, OpenNebula, and Kubernetes.

The company organizes its go-to-market around four major industry trends. The first is the VMware exodus triggered by Broadcom's acquisition, which StorPool addresses with a drop-in vSAN replacement, StorPool One, a fully managed KVM platform replacing the entire VMware Cloud Foundation stack at 64% lower five-year TCO, and an Oracle Virtualization bundle delivering 71% savings versus VMware over five years. The second is European data sovereignty, where StorPool responds as a fully European, non-US-owned company participating in the EuroStack initiative. The third is AI infrastructure, where the platform powers GPU-as-a-Service and inference workloads for customers including Redmond.ai and Cloudalize. The fourth is hardware cost pressure, where StorPool's HCI mode consumes only 10–15% CPU and RAM overhead, consolidates over 20 physical components down to 7, and can run approximately 3,000 virtual machines on just 10 servers.

Customer outcomes speak to the platform's broader economic impact: a 15% margin increase for CloudSigma, 60% higher per-rack VM density for Namecheap, a reduction from 50 to just 5 storage staff at Dustin, and elimination of downtime at Atos. End-user workloads running on StorPool-powered infrastructure include those of NASA, ESA, CERN, Siemens, and Deutsche Börse Group. StorPool frames this not merely as storage optimization but as a ripple effect improving the economics of the entire data center, accelerating the broader shift from siloed, manually operated IT toward API-driven, automated, always-on infrastructure.

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NGX Storage unveils ExaScale, its full disaggregated NVMe storage model

NGX Storage joined the 67th edition of The IT Press Tour last week for the second time. We introduced NGX to the world in December 2022 when we met the team in Lisbon, Portugal, for the 47th tour.

NGX is a European enterprise storage vendor founded in 2015 and headquartered in Ankara, Türkiye, within a university-linked technology park. Branding itself as "Made in Europe," the company operates R&D centers in India and commercial operations across four continents. Its founding premise is straightforward: data storage should be powerful, flexible, and manageable across every protocol from a single platform.

The company frames its value proposition around a clear industry pain point. Enterprise storage has become fragmented, expensive, and operationally overwhelming, with organizations juggling separate NAS, SAN, and object storage platforms, each with its own tools and infrastructure costs. The AI era compounds this complexity, as training and inference workloads demand fast access to enormous datasets, microsecond NVMe latency, and extreme throughput at scale. NGX's argument is that these converging pressures require a fundamentally new storage architecture built for extreme performance and data scale from the ground up.

The company offers a unified portfolio organized into five product lines. The NGX-H is a dual-controller hybrid system scaling to 38PB, supporting Fibre Channel, iSCSI, NFS, SMB and S3. The NGX-AFA mirrors that architecture but runs exclusively on NVMe SSDs for latency-sensitive workloads up to 34PB. The NGX ExaScale is a scale-out NVMe block storage platform using NVMe-oF with RDMA/TCP, designed for AI and HPC workloads and scaling to hundreds of petabytes in future releases. The NGX HyperIO is the scale-out object storage platform, built on high-density nodes with erasure coding, geo-dispersed protection, self-healing, and multi-site replication, suited for analytics, backup, and large-scale archival. Finally, a Scale-Out NAS capability built on top of the AFA and Hybrid platforms supports AI workloads, HPC, and data lake architectures at exabyte scale. Across all products, the platform includes inline compression and deduplication, thin provisioning, full RAID levels, and three-way and four-way mirroring.

NGX also offers a MetroScale Cluster capability for active-active datacenter deployments, delivering zero RTO and zero RPO, validated for SAP, Oracle, Red Hat, and Microsoft Windows environments. Its customer base is 99% enterprise, spanning verticals including finance, healthcare, defense, media, oil and gas, and education, with use cases covering virtualization, VDI, HPC, AI/ML, backup, and business continuity. Technology partners include Intel, Nvidia, Veeam, VMware, Kioxia, and Western Digital. The company is actively expanding into Poland, Spain, Malaysia, South Korea, and the UAE, and is currently developing the third generation of its unified storage platform, reinforcing its positioning as a full-lifecycle storage vendor with no hardware vendor lock-in.

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Caeves promotes a modern file tiering solutions fueled by AI

Caeves Technology joined the IT Press Tour last week in Sofia, Bulgaria.

The company is a New Jersey-based startup founded in 2024 by the team behind Talon Storage Solutions, an entity co-founded in 2012 that developed edge caching technology before being acquired by NetApp in March 2020. After five years scaling NetApp's cloud data services, the founding team launched Caeves, operating in stealth mode before releasing its flagship product, Caeves Intelligent Deep Storage, first in private preview on Microsoft Azure in August 2025, then in general availability worldwide in February 2026. The leadership team includes Shirish H. Phatak as CEO and CTO, Jaap van Duijvenbode as VP of Product and Customer Experience, and Andrew Mullen as SVP of Sales and Alliances.

The company tackles two major structural problems in enterprise data management. The first is economic: according to Gartner, 30% of enterprise storage budgets are spent on cold or redundant data that delivers zero active business insight, while data volumes double every two years with no sign of slowing. The second is AI readiness: 85% of unstructured data is created once and never touched again by analytics or artificial intelligence tools. When data is archived to cold tiers or legacy systems, it becomes completely invisible to Microsoft 365 Copilot, Azure AI Search, and all modern AI tools, directly undermining the ROI of enterprise AI investments. As Jensen Huang noted at Nvidia GTC in March 2026, unstructured data remains largely impossible to query, search, or index at scale without a smarter infrastructure layer.

Caeves Intelligent Deep Storage is a cloud-native solution built exclusively on Microsoft Azure, combining intelligent tiering, multi-protocol access supporting SMB and NFS, and native integration with the Microsoft 365 ecosystem. The platform deploys in under 30 minutes entirely within the customer's own Azure tenant, with no data ever leaving the customer's environment. It provides automatic tiering from Hot to Cool to Archive landing on Azure Object Storage, reducing storage costs by up to 70% without any loss of access or performance. A key differentiator is the Caeves Copilot Connector, which indexes historical archives directly into Microsoft Graph, making them accessible through Microsoft 365 Search and Microsoft Copilot with no custom RAG pipeline or additional infrastructure required. Unlike most competitors, Caeves stores data in native Azure Blob format, meaning customers retain full access at all times with no proprietary encoding, no extraction fees, and no lock-in, at a cost ranging from $0.01 to $0.03 per GB per month.

The pricing model is entirely capacity-based and available through the Microsoft Marketplace, offering a free tier up to 5TB for pilots and testing, with rates decreasing from $0.03/GB/month for small teams down to $0.01/GB/month beyond 1PB. For organizations managing more than 200TB, the cost of Caeves is typically recovered within the first month of tiering savings alone.

Looking ahead, a minor release is planned for September 2026, followed by a major version in Q1 2027 featuring an Enterprise Management Plane with ROI dashboard, policy management, compliance and governance tools, and an MCP Server enabling integration with Claude, Gemini, LangChain, Azure OpenAI, and Microsoft Foundry. The long-term vision is to position Caeves as the intelligence and context layer for enterprise data estates within the Azure ecosystem, evolving from a storage optimizer into a full data intelligence platform with autonomous tiering operations and deep integration with Copilot Studio.

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67th Edition of The IT Press Tour in Sofia, Bulgaria

The IT Press Tour, a media event launched in June 2010, announced participating companies for the 67th edition organized March 31st and April 1st in Sofia, Bulgaria.

During this edition, the press group will meet 6 hot and innovative companies:

• Caeves Technology, a young data management player leveraging Azure for cold file data,
• Leil Storage, promoter of a modern spin down storage approach coupled with ab advanced parallel file system,
• NGX Storage, an alternative solution for scale-out storage,
• PoINT Software & Systems, an established data archiving player,
• StorPool, a reference in SDS,
• and Storware, an innovator in backup.

I invite you to follow us on Twitter with #ITPT and @ITPressTour, my twitter handle and @CDP_FST and journalists' respective handle.

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Lustre is built to last according to The Lustre Collective

The Lustre Collective aka TLC joined the recent IT Press Tour in Silicon Valley last week and it was a key session to understand the mission and direction of the new entity as it was founded just before SC25 last November.

TLC is a newly formed company created to ensure the long-term innovation, stability, and relevance of the Lustre parallel file system, one of the most widely deployed storage technologies in HPC, enterprise AI, and large-scale data infrastructure. Launched publicly at Supercomputing 2025, TLC is founded by long-time Lustre leaders and original developers who have collectively driven Lustre’s architecture, evolution, and community releases for more than two decades. Their goal is to provide independent, expert stewardship focused solely on Lustre’s future.

Lustre itself has a 25-year history and remains the dominant parallel filesystem for demanding workloads, powering a majority of the world’s top supercomputers and large AI systems. According to data highlighted in the presentation, Lustre is used by over 60% of the Top 100 HPC systems and underpins exascale machines and large commercial AI deployments, including systems operated by NVIDIA, national laboratories, and hyperscalers. Its longevity is attributed to its open-source, vendor-neutral GPLv2 license, symmetric bandwidth, linear scalability, POSIX compliance, and proven reliability at extreme scale. 

TLC was formed in response to structural gaps in the Lustre ecosystem. While many vendors and cloud providers actively contribute to Lustre, development priorities are often shaped by individual commercial interests. TLC positions itself as a neutral, independent organization that works across vendors, hyperscalers, research institutions, and enterprises to identify and address shared long-term needs of the Lustre community. Unlike venture-backed startups, TLC is not pursuing acquisition or IPO strategies; instead, it operates more like a permanent engineering collective, reinvesting revenue directly into Lustre development and expertise. 

Technically, Lustre continues to evolve to meet modern AI and cloud demands. The platform delivers industry-leading performance, supporting tens of terabytes per second of throughput, hundreds of millions of IOPS, tens of thousands of clients, and hundreds of thousands of GPUs. As illustrated in the architecture diagrams, Lustre provides fully parallel data and metadata paths, flexible use of HDD, QLC/TLC NVMe, and client-side NVMe caching, multi-rail RDMA networking, and protocol re-export via NFS, SMB, and S3 gateways. Security features include strong authentication, encryption, and fine-grained multi-tenant isolation. 

TLC’s roadmap focus includes accelerating Lustre’s transition toward greater resilience, usability, and cloud readiness. Near-term development areas include erasure-coded files, undelete/trash functionality, fault-tolerant management services, client-side compression, GPU peer-to-peer RDMA, and improved recovery mechanisms. Longer-term priorities include metadata redundancy, metadata writeback caching, enhanced multi-tenancy, easier quality-of-service controls, and modernized tooling and monitoring. 

The Lustre Collective monetizes through services rather than licensing, offering consulting, production support, feature development, performance tuning, training, and deployment assistance. Overall, TLC positions itself as a trusted partner for enterprises, hyperscalers, appliance vendors, and research institutions, working to ensure that Lustre remains the definitive data foundation for exascale HPC, enterprise AI, and large-scale distributed computing for decades to come.

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Zettalane Systems, an interesting SDS based on ZFS

Zettalane Systems participated to the recent The IT Press Tour in California a few days ago week and we learnt a lot about thair file and block storage approach leveraging ZFS and NVMe-oF.

Zettalane Systems is a cloud-native storage company focused on dramatically reducing public cloud storage costs while delivering high performance, simplicity, and enterprise-grade reliability. Founded by storage veteran Supramani “Sam” Sammandam, Zettalane builds on decades of experience in software-defined storage, ZFS, and NVMe technologies to rethink how file and block storage should be delivered in modern cloud environments. The company’s mission is to provide easy-to-consume, scalable, and cost-efficient storage using object storage and ephemeral NVMe resources, targeting up to 70% cost savings compared to traditional cloud storage services.

Zettalane positions itself against the high cost and architectural limitations of managed cloud NAS and block storage services. Traditional offerings such as AWS EFS or cloud block volumes are expensive, scale inefficiently, and often suffer from per-client throughput bottlenecks. Zettalane’s approach is to deliver cloud-native storage that exploits the massive bandwidth, durability, and scalability of object storage while preserving familiar NAS and block interfaces such as NFS, SMB, iSCSI, and NVMe-oF.

The company offers two primary products. MayaNAS is a high-throughput network file system designed for AI/ML, media, analytics, software development, and backup workloads. It uses a hybrid ZFS architecture in which metadata and small I/O are stored on local NVMe via ZFS “special vdevs,” while large sequential data blocks are written directly to object storage. This design avoids data tiering or migration and enables a single filesystem to handle both small-file IOPS and large streaming workloads efficiently. A key innovation is objbacker.io, a native ZFS object storage vdev that bypasses FUSE and enables highly parallel, direct I/O to cloud object storage using vendor SDKs. Validated benchmarks demonstrate over 8 GB/s read throughput in active-active HA configurations.

MayaScale addresses ultra-low-latency storage needs using local NVMe SSDs and NVMe-over-Fabrics. It provides both block and file modes, supporting databases, analytics, Kubernetes persistent volumes, and FSx-like workloads on clouds that lack native ZFS offerings. MayaScale uses server-side RAID-1 mirroring in active-active configurations, eliminating client-side replication overhead, reducing network traffic, and improving latency. Benchmarks show up to 2.3 million IOPS and sub-200µs latency, with future support for RDMA to further reduce latency where available.

Zettalane emphasizes automation and developer-friendly operations. Deployments are fully infrastructure-as-code driven using Terraform, enabling one-click provisioning, consistent multi-cloud behavior across AWS, Azure, and GCP, and rapid teardown for ephemeral workloads. The platform runs entirely within customer VPCs with no call-home requirement, addressing security and data sovereignty concerns. The business model is consumption-based, priced per vCPU with no per-GB or per-IOPS fees, and products are available through major cloud marketplaces.

Overall, Zettalane positions itself as a modern, cloud-first storage platform that bridges the gap between low-cost object storage and high-performance NAS and block storage, targeting cost-sensitive, performance-driven workloads with minimal operational complexity.

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VergeIO, a serious VMware alternative

VergeIO joined The IT Press Tour in California this week and it invited us to learn more about the company and the solution with a very interesting market adoption. As the solution represents a serious alternative to VMware, meeting VergeIO is key to understand their momentum and technology.

VergeIO is the developer of VergeOS, a private cloud operating system designed to replace traditional multi-layer virtualization stacks with a single, unified software platform. Founded in 2012, VergeIO positions VergeOS as a fundamentally different approach to private cloud infrastructure - one that collapses compute, storage, networking, automation, and management into a single codebase rather than integrating multiple independent products. This architecture is intended to reduce complexity, improve efficiency, and dramatically lower cost compared to legacy stacks such as VMware, Nutanix, or multi-vendor three-tier architectures.

At the core of VergeOS is a single-kernel, single-SKU design built on a KVM/QEMU foundation with extensive proprietary extensions. Instead of separate hypervisor, storage, network, and management layers, VergeOS integrates all services directly into the operating system, eliminating translation layers, duplicated metadata, and operational silos. VergeIO emphasizes that this unified codebase—roughly 400,000 lines of code compared to tens of millions in traditional stacks—enables higher performance, lower latency, and easier lifecycle management.

Key platform components include VergeFS, an integrated storage system with global inline deduplication across disk, memory, and data movement; VergeFabric, a built-in software-defined networking layer providing Layer 2/Layer 3 services, micro-segmentation, routing, and security without external controllers; and ioClone-based snapshots that create fully independent, immutable copies with no performance penalty. VergeOS supports live VM migration across nodes and storage tiers, mixed hardware generations, heterogeneous CPU vendors, and flexible “vulture-converged” deployments where compute-heavy and storage-heavy nodes coexist within the same system.

For resilience and data protection, VergeOS introduces ioGuardian, a kernel-level local protection mechanism that enables near-instant recovery from catastrophic failures by dynamically retrieving only required data blocks, and ioReplicate, a WAN-optimized replication engine that transmits only unique deduplicated data. Disaster recovery is built around virtual data centers (VDCs), VergeOS’s native multi-tenancy model, which captures entire environments—networking, storage, policies, and VMs - in consistent snapshots that can be restored in minutes with a reported 100% customer DR success rate.

VergeOS is licensed per physical server, with all features included, regardless of core count, memory, or storage capacity. This model, combined with hardware reuse (including VxRail, Nutanix, and commodity servers), enables customers to modernize infrastructure, repatriate workloads from public cloud, and exit VMware with reported cost reductions of 50–80% and significant operational simplification. Overall, VergeIO positions VergeOS as a full private cloud operating system that transforms infrastructure from a complex stack into a cohesive, software-defined platform optimized for efficiency, resilience, and long-term sustainability.

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InfoScale as a modern availability approach to serve modern applications services

InfoScale participated this week to The IT Press Tour in California. It was key to understand the Cloud Software Group strategy following the acquisition last summer of Arctera and the recent split in 3 business entities with BackupExec.com, Arctera and InfoScale that finally marked the return and the reference to VERITAS Software with VxFS, VxVM and VCS.

InfoScale is an enterprise software platform focused on delivering real-time operational resilience across applications, data, and infrastructure in hybrid, multi-cloud, and on-prem environments. With roots in Veritas and decades of evolution through Symantec, Arctera, and now Cloud Software Group (CSG), InfoScale positions itself as a foundational resilience layer for mission-critical enterprise systems across industries such as finance, healthcare, telecom, energy, and insurance. The company reports widespread enterprise adoption, significant downtime reduction, and large operational efficiency gains among customers.

The core challenge InfoScale addresses is the growing complexity and risk in modern IT operations, driven by hybrid cloud environments, increasing cyber threats, AI-driven workloads, and shrinking tolerance for downtime. Enterprises now operate thousands of interconnected applications and infrastructure layers, where outages, ransomware, human error, maintenance activities, and cloud disruptions can cause severe financial and operational impact. Traditional point solutions for availability, backup, and recovery are siloed and reactive, creating blind spots and fragmented resilience strategies.

InfoScale’s approach is “software-defined resiliency,” integrating application-aware clustering, storage resiliency, orchestration, failover, replication, snapshots, and automation into a unified full-stack platform. It provides real-time application health monitoring, rapid recovery, data integrity controls, secure snapshots, and cross-cloud mobility, enabling near-zero RPO and RTO while supporting heterogeneous operating systems, storage platforms, and cloud environments. The platform is designed to orchestrate dependencies across applications, infrastructure, and data, delivering automated failover, disaster recovery, and cyber resilience at scale.

The platform emphasizes operational intelligence and orchestration, allowing enterprises to simulate failures, test recovery plans, detect anomalies, and coordinate recovery workflows across complex environments. Future roadmap capabilities include predictive analytics for failure forecasting, intelligent workload optimization, automated recovery architecture design, fault simulation, contextual alerting using AI, and proactive threat detection for ransomware and cyber attacks. These features aim to move resilience from reactive recovery to autonomous, predictive operations.

Overall, InfoScale positions itself as a comprehensive enterprise resilience engine that unifies data, infrastructure, and application management, helping organizations reduce downtime, mitigate cyber risk, modernize IT operations, and maintain continuous business operations in increasingly complex digital environments.

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