AI Powered IT Asset Management
The intelligent asset management platform built for modern enterprise IT.
XpediOo unifies Hardware Asset Management, Software Asset Management, Discovery, Software Delivery, and AI-powered intelligence into a single platform — replacing fragmented tools and manual processes with a living, governed IT estate.
Why Legacy IT Asset Tools Fail Modern Enterprises
The average enterprise runs 4–7 separate tools to manage hardware assets, software licenses, compliance, and cloud spend. The result: data gaps, audit failures, overspending, and operational blind spots.
Annual Software Waste
Enterprises overspend 30–40% on software licenses through unused seats, duplicate titles, and failed reclamation.
of Assets Are Undiscovered
Unmanaged endpoints, shadow cloud instances, and BYOD devices create invisible attack surfaces and compliance gaps manual audits can't close.
Without Visibility
Software publishers increasingly conduct aggressive audits. Without real-time license tracking, organizations face six-figure true-up penalties.
= Breach Risk
Unmanaged control gaps create avoidable exposure. Without prioritized action, security teams can't keep pace.
Tool Sprawl Kills Productivity
Context-switching between CMDB, SAM tools, and cloud portals consumes half of IT operations time.
= Bad Decisions
Quarterly manual audits and weekly scan schedules mean your CMDB is always out of date — and every decision built on it is too.
XpediOo's answer: replace the tool stack with a single continuous-intelligence platform that discovers, tracks, governs, and delivers across every asset type — from endpoint to cloud — with AI that turns data into decisions.
One Platform. Every Asset. Complete Intelligence.
Purpose-built for enterprise complexity — multi-tenant, multi-domain, role-based, with policy enforcement baked into every workflow rather than bolted on.
Explore Every Module
Five integrated pillars — Discovery, Hardware Asset Management, Software Asset Management, Software Delivery, and AI Intelligence — each deeply cross-linked to the same Central Asset Repository.
See Everything. Miss Nothing.
A multi-vector discovery engine builds a living, accurate picture of your entire IT estate — hardware, software, cloud, and unmanaged devices — continuously, without requiring full agent deployment across every endpoint.
Agent-Based Discovery
When installed, the native endpoint agent provides continuous, real-time telemetry that no agentless scan can match — including security posture, running processes, listening ports, and authenticated software usage data.
Complete Hardware Inventory
CPU, RAM, disk, GPU, BIOS, chassis type, serial number, manufacturer, and model — collected at enrollment and updated on change.
Software & Application Inventory
All installed applications with publisher, version, install date, and scope. Tracks MSI, MSIX, AppX, .pkg, .deb, .rpm formats and detects suite components.
Security Posture Collection
Firewall status, disk encryption, antivirus and definition date, BitLocker/FileVault, TPM presence, Secure Boot, and password policy compliance.
Network & Port Monitoring
Listening TCP/UDP ports mapped to owning processes, adapter configuration, VPN detection, Wi-Fi SSID, and proxy settings for Zero Trust readiness.
Application Usage Analytics
Foreground focus time, launch frequency, and last-used date — the raw data powering SAM reclamation and software adoption insights.
Agent Lifecycle Management
A built-in agent version management console — deploy, update, and retire agents at scale, with automated upgrade rings to roll out new versions safely.
Agentless Discovery
Legacy servers, restricted production systems, network infrastructure, and contractor devices all require a different approach. The agentless engine uses SSH (Linux/macOS) and WinRM (Windows) to probe, discover, and — optionally — remotely install the full agent.
SSH / WinRM Probing
SSH probing for Linux, Unix, macOS, and network devices; WinRM/PowerShell probing for Windows servers and workstations.
Credential Profile Security
Credentials encrypted at rest, mapped by IP range or domain. Supports username/password, SSH key-based auth, and Kerberos with role-based access.
Scheduled & On-Demand Jobs
Configurable scope with real-time job progress, per-host probe logs, and failure diagnostics.
Network Segment Sweep
Finds previously unknown devices and automatically escalates to agent deployment once contact is made.
Discovery Probes
Pre-built, versioned probe templates for Windows, Linux, macOS, VMware, Cisco IOS, and generic SSH devices — fully customizable.
Guided Job Creation Wizard
A multi-step wizard walks operators through scope, credentials, probe timeout/retry, and scheduling with live validation.
Cloud Discovery
Cloud sprawl is the fastest-growing source of unmanaged assets and unexpected spend. Native integrations pull asset inventory, configuration state, security findings, and cost data from AWS, Azure, and GCP — unified in the same repository as on-premises endpoints.
Amazon Web Services (AWS)
EC2, RDS, S3, and Lambda inventory; IAM policy review; Cost Explorer spend attribution; Security Hub findings mapped to assets; tag-based ownership.
Microsoft Azure
VM/VMSS/AKS inventory; subscription hierarchy; Azure Defender alerts; Cost Management integration; Managed Disk, Key Vault, and Storage inventory; Entra ID correlation.
Google Cloud Platform (GCP)
Compute Engine, GKE, and Cloud Run inventory; org hierarchy; Security Command Center findings; billing export and committed-use tracking; label-based policy groups.
All Assets. One Repository.
Cloud instances, on-premises servers, and employee laptops all flow into the same Central Asset Repository — enabling unified search and consistent lifecycle governance regardless of where the asset lives.
Discovery Data Quality & CMDB Health
The most common failure mode of asset management programs isn't lack of discovery — it's poor data quality. A built-in CMDB health dashboard measures, scores, and actively reports on data completeness and accuracy.
Discovery Coverage Score
A live percentage showing what fraction of known network segments have at least one discovered asset, with one-click probe creation to close gaps.
Duplicate Serial Detection
Automatic detection of duplicate hardware records from re-imaging, VM cloning, or import errors — with a merge or dismiss workflow.
Normalization Accuracy Reporting
Tracks the percentage of records with normalized manufacturer, model, and OS version, listing exceptions with suggested corrections.
Stale Endpoint Reporting
Endpoints with no heartbeat for 30+ days are flagged automatically, with drill-down by OS, site, or department and bulk cleanup actions.
Missing Hardware Profile Detection
Identifies assets missing critical fields (CPU, RAM, storage) from limited scans or failed collection, triggering targeted re-discovery.
Full Export & Audit Trail
Every discovery result, normalization change, and data-quality action is logged with actor and timestamp, exportable for external audit or BI.
Discovery Scripting
No vendor can anticipate every data point every enterprise needs. A scripting engine lets your team write, test, version, and deploy custom discovery scripts that collect any data expressible in PowerShell or Bash.
Script Authoring & Editor
Built-in code editor with syntax highlighting for PowerShell and Bash. Supports parameterized scripts and structured JSON return payloads mapped to custom fields.
Validation & Live Testing
Test any script against a real managed endpoint before publishing, with live output preview, error capture, and runtime profiling.
Script Marketplace
A curated library of pre-built discovery scripts — from BIOS firmware collection to custom configuration audits — ready to import and fork.
XpediOo vs. Flexera One vs. ServiceNow ITAM
Flexera One and ServiceNow ITAM are the incumbent leaders in enterprise SAM and ITAM. Here's how XpediOo compares across the capabilities that matter most to modern IT operations teams.
| Capability | XpediOo | Flexera One | ServiceNow ITAM |
|---|---|---|---|
| Discovery | |||
| Native endpoint agent | Built-in | Flexera Agent | Via MID Server |
| Agentless SSH/WinRM discovery | Native | Available | MID Server |
| Cloud discovery (AWS/Azure/GCP) | All three, native | All three | All three |
| CMDB data quality dashboard | Built-in, live | Limited | Via CSDM only |
| Discovery scripting engine | Full IDE + marketplace | Limited templates | Pattern-based only |
| Hardware Asset Management | |||
| Full hardware lifecycle management | End-to-end | Available | HAM Pro |
| Geographic asset map | Interactive, real-time | Not available | Basic sites only |
| Hardware variance/drift detection | Automated auditing | Not available | CI drift alerts only |
| Software Asset Management | |||
| Software normalization library | Continuous | Technopedia | Requires Technopedia |
| License position calculation | Real-time | Industry-leading | SAM Pro |
| Usage-based reclamation | Focus-time tracking | Available | Basic last-used |
| Ghost software residue cleanup | Automated detection | Partial | Not available |
| Browser extension telemetry | Chrome/Edge/Firefox | Not available | Not available |
| AI & Intelligence | |||
| Natural language asset query | Built-in NL engine | Not available | Now Intelligence only |
| Self-healing / anomaly remediation | With approval gates | Not available | AIOps (add-on) |
| Explainable AI with confidence scores | Every recommendation | Not available | Partial (NLQ) |
| Platform | |||
| Implementation complexity | Low — unified platform | High — modular | Very high — multi-product |
| Pricing model | Per device, transparent | Per device + modules | Complex per-user + SKUs |
Where XpediOo Wins Uniquely
The Financial Case for XpediOo
Measurable return across three vectors: cost reduction through software reclamation and hardware refresh optimization, risk reduction through proactive compliance, and productivity gains from unified tooling and AI automation.
Software Cost Savings
Usage-based reclamation identifies unused licenses for return or non-renewal. Ghost residue cleanup corrects inflated position reports. Customers typically recover 25–35% of their software budget in year one.
Audit Risk Reduction
Continuous license position monitoring eliminates the discovery phase of publisher audits. Point-in-time ELP reports cut response time from weeks to hours, virtually eliminating six-figure true-up penalties.
Operational Efficiency
Consolidating 4–7 tools into one platform eliminates context-switching overhead. Customers report 40–60% reduction in time spent on routine asset administration.
Risk Reduction
Continuous discovery and prioritized remediation help surface high-risk assets early and eliminate unmanaged endpoint blind spots.
Hardware Refresh Savings
AI risk scoring identifies which devices genuinely need replacement vs. another cycle, saving 15–25% on refresh costs through bulk purchasing over emergency orders.
Employee Productivity
Endpoint and application insights identify degrading performance early, enabling remediation before users notice. Each prevented incident saves roughly 2.4 hours of employee and IT time.
See the Platform in Your Environment
Connect with our enterprise team for a personalized demonstration, or start a free 7-day Discovery Assessment to see exactly what's in your estate right now — no commitment required.