Complete hardware inventory
CPU, RAM, disk, GPU, BIOS, chassis type, serial number, manufacturer, and model, collected at enrollment and updated on change.
100+ data pointsChange detection
AI Powered ITAM50+ AI features
AI Powered ITAsset 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.
Explore every module
- See everything. Miss nothing.Discovery
- Complete control of your hardware estateHardware (HAM)
- Govern every license. Eliminate every risk.Software (SAM)
- Stage, deploy, and deliver software at enterprise scaleDelivery
- AI that works with your team, not instead of itAI intelligence
7+
Integrated modules
100%
Agent & agentless
3
Cloud providers
AI
Across every module
The IT asset challenge
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.
$45B+
Annual software waste
Enterprises overspend 30–40% on software licenses through unused seats, duplicate titles, and failed reclamation.
60%
of assets are undiscovered
Unmanaged endpoints, shadow cloud instances, and BYOD devices create invisible attack surfaces and compliance gaps manual audits can't close.
Audit risk
Without visibility
Software publishers increasingly conduct aggressive audits. Without real time license tracking, organizations face six figure true up penalties.
Operational lag
= Breach risk
Unmanaged control gaps create avoidable exposure. Without prioritized action, security teams can't keep pace.
30–50%
Tool sprawl kills productivity
Context switching between CMDB, SAM tools, and cloud portals consumes half of IT operations time.
Stale data
= 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Quarterly manual audits and weekly scan schedules mean your CMDB is always out of date, and every decision built on it is too.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.
Platform
One platform. Every asset. Complete intelligence.
Purpose built for enterprise complexity: multitenant, multidomain, role based, with policy enforcement baked into every workflow rather than bolted on.
01
Discover
Agent & agentless
02
HAM
Full lifecycle
03
SAM
License compliance
04
Deliver
Software delivery
05
AI
Every module
06
Cloud
AWS / Azure / GCP
Product deep dive
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.
Discovery
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.
- Discovery vectors
- 5
- Cloud platforms
- 3
- Hardware data points
- 100+
- Heartbeat monitoring
- Real time
01
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.
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.
Publisher normalizationSuite detection
Security posture collection
Firewall status, disk encryption, antivirus and definition date, BitLocker/FileVault, TPM presence, Secure Boot, and password policy compliance.
Real timeFramework mapped
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.
Process mappingVPN aware
Application usage analytics
Foreground focus time, launch frequency, and last used date: the raw data powering SAM reclamation and software adoption insights.
Focus time trackingPrivacy safe
Agent lifecycle management
A built in agent version management console to deploy, update, and retire agents at scale, with automated upgrade rings to roll out new versions safely.
02
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 install the full agent remotely.
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
Prebuilt, 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 and retry, and scheduling with live validation.
03
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.
04
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 reimaging, 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 rediscovery.
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.
05
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 prebuilt discovery scripts, from BIOS firmware collection to custom configuration audits, ready to import and fork.
Hardware (HAM)
Complete control of your hardware estate
Raw discovery data becomes an actionable, governed hardware estate, with full lifecycle tracking, ownership accountability, site management, and proactive refresh planning.
01
Asset lifecycle, from procurement to disposal
A hardware asset's lifecycle isn't just about where it is today. It's about where it's been, what it costs, and when it needs to be replaced.
Procurement & intake
Assets enter via discovery auto enrollment or manual intake, with serial numbers, purchase dates, and warranty data recorded from day one.
Discovery & normalization
Agent or agentless discovery populates the full hardware profile, with normalization mapping raw vendor strings to canonical names.
Assignment & accountability
Devices are assigned to users and sites, with mismatch detection catching device sharing, unauthorized transfers, and ghost assets.
Active operations
Compliance, maintenance windows, software delivery, and remote control, with every action logged against the asset record.
Aging & refresh planning
AI powered risk scoring identifies hardware approaching end of life by age, failure indicators, and cost, before failures occur.
Retirement & disposal
Secure remote wipe for Windows, macOS, iOS, and Android, with chain of custody capture for regulatory requirements.
02
Lifecycle & financial tracking
Central Asset Repository
A single, searchable repository of every known asset, with configurable columns, custom filters, and grouping by department, site, OS, or manufacturer.
Configurable columnsExport
Asset change log
Every attribute change (configuration, assignment, software installs, and status) is captured in a searchable, exportable, immutable log.
Immutable logActor attribution
Hardware variance auditing
Compares discovered configuration against expected baselines, flagging removed RAM, changed storage, or model mismatches indicating tampering.
Baseline comparisonChange alerts
Warranty & financial tracking
Warranty expiry with configurable alert thresholds, alongside purchase price, depreciated value, and replacement cost estimates.
Expiry alertsFinancial records
03
Asset tracking & accountability
Asset accountability is a governance and audit requirement, made automatic rather than a manual spreadsheet process.
Device groups
Dynamic or static groups based on OS, site, department, software inventory, compliance, or custom attributes, driving targeted deployments and reporting.
User asset mismatch detection
Compares the authenticated user at last check in against the assigned owner, catching hot desking violations and ghost assets consuming licenses.
Unmanaged asset queue
Devices discovered without a managed record are queued for operators to review, classify, enroll, or exclude with a documented reason.
Exclusion & access rules
Define discovery exclusion rules to keep specific IP ranges, device types, or asset classes out of the managed estate. Useful for OT networks or lab environments.
04
Geolocation & site management
An interactive Asset Map brings geographic context to asset management, plotting every site, device, and remote worker with health overlays and geofence zones.
Site management
Create and manage sites with addresses, coordinates, timezone, device capacity, and geofence radius. Site health rolls up from device compliance.
Geofence zones
Configurable geofence radius per site, visualized to scale: a critical control for mobile and field asset governance.
WFH & remote device layer
Remote and work from home devices plotted by region, colored by compliance status, with per device tooltips.
Platform drill in
Click any site to scatter individual device dots colored by platform or compliance status, with filter chips to isolate OS types.
Capacity rings
Dashed capacity ring markers scale to each site's device capacity, shifting from green to red as utilization climbs.
Risk overlay modes
Switch instantly between Health and Compliance overlay modes to answer different operational questions from the same map.
05
Endpoint operations & control
Act directly on managed endpoints from a single console, with no VPNs, remote desktop tools, or manual ticketing required.
Maintenance windows & scheduling
Software delivery and reboots respect configured windows by group, site, or device, with AI predicting the optimal window from usage patterns.
Power management
Fleet wide shutdown, sleep, and hibernate policies, Wake-on-LAN for after hours maintenance, and energy cost savings reporting.
Reboot management
Targeted or fleet wide scheduling with notifications, grace periods, forced reboot escalation, and post reboot compliance reporting.
Remote uninstall
Remotely uninstall any software with no console access needed. Used for prohibited software removal, reclamation, and security response.
OS image management
A library of approved OS images for bare metal provisioning and reimaging, with versioning and deployment job integration.
Software (SAM)
Govern every license. Eliminate every risk.
Software license compliance is the most financially significant IT governance challenge most organizations face. Raw software inventory is transformed into a governed, compliance ready license estate, from normalization through entitlement matching, usage analysis, and reclamation.
01
Software catalog & normalization
Raw software inventory is messy: the same application can appear under dozens of names across your fleet. A normalization engine standardizes this data automatically.
Normalization engine
Publisher name normalization, product deduplication across version variants, suite component detection, and platform specific title reconciliation.
Software categories
Every normalized title is automatically categorized (Productivity, Development, Security, Remote Access, Communication, Creative), driving policy and spend analysis.
Central software search
Search the entire estate for any title in seconds: install count, device totals, version distribution, publisher, and compliance status.
Dynamic software views
Configurable saved perspectives, e.g. "All Adobe titles by department" or "Unapproved remote access tools", for recurring reviews.
02
License management & compliance
A real time license position (the difference between purchased entitlements and deployed installations) calculated continuously, so audit surprises become a thing of the past.
Entitlement records
Purchase orders, subscriptions, volume licenses, and OEM entitlements with quantity, metric type, dates, and vendor contacts, automatically consolidated.
License position calculation
Continuous reconciliation of entitlements vs. installations, shown as compliant, at risk (within 10%), or noncompliant with exact figures.
Compliance alerting
Configurable threshold alerts before a title exceeds its licensed quantity, routed by category, publisher, or assigned SAM owner.
Subscription expiry tracking
Renewal dates tracked with configurable lead time alerts (30/60/90 days), integrated with usage data to flag nonrenewal candidates.
Multi framework compliance reporting
Compliance scores mapped to ISO/IEC 19770, BSA standards, and custom policies: the evidence base for internal and external audits.
Audit defence package
Point in time Effective License Position (ELP) reports, timestamped and formatted to standards expected by Microsoft, Adobe, and Oracle.
03
Usage analytics & reclamation
Usage data turns SAM from a static compliance tool into an active cost optimization engine, recovering underused license spend automatically.
Application focus time tracking
Measures actual foreground focus time per application, not just process presence, for a far more accurate utilization metric.
Focus timeLast usedLaunch frequency
Reclamation workflow
Identifies devices where a license hasn't been used in a configurable period (default 90 days), notifies the user, then automatically uninstalls if unconfirmed.
AutomatedUser notificationAudit logged
Utilisation dashboards
Per title dashboards showing the distribution of heavy, moderate, light, and zero users, helping right size tiers and identify downgrades.
Cost anomaly detection
AI compares expected spend against entitlement costs and usage, surfacing spikes, duplicate purchases, and overgrown subscriptions before they hit budget.
04
Shadow IT & risk control
Unauthorized software is simultaneously a license risk, a security threat, and a governance liability. It is detected, reported, and remediated automatically.
Prohibited software detection
Flags devices with cryptominers, remote access tools, P2P clients, or competitor software, triggering automatic remediation via uninstall or notification.
Ghost software residue detection
Identifies and cleans registry keys, service entries, and config files left behind by incomplete uninstalls that can inflate license positions.
Browser extension telemetry
Discovers and inventories extensions across Chrome, Edge, and Firefox: an often overlooked attack surface for data exfiltration and credential theft.
Application allowlist & policy
Per group allowlists and enforcement policies from passive reporting to active blocking via script policy execution.
Delivery
Stage, deploy, and deliver software at enterprise scale
The complete software distribution lifecycle, from package onboarding through staged ring deployment across the fleet, with agentless fallback for endpoints that haven't enrolled in full management. Packages, scripts, and policies all flow through the same delivery engine.
01
Package library & deployment
Every piece of software delivered to your fleet should be approved, tested, and traceable: a governed, auditable supply chain replacing ad hoc file shares.
Package onboarding
Upload MSI, MSIX, EXE, PKG, DEB, RPM, ZIP with metadata and install arguments. Hash verification and approval workflows gate production deployment.
Targeted deployment jobs
Device group, individual device, site, or OS type targeting with configurable install conditions to prevent failed deployments and wasted bandwidth.
Dependency resolution
Package dependencies are automatically sequenced, with circular dependency detection at job creation time before any packages are dispatched.
Deployment monitoring
Real time dashboards show Pending, Downloading, Installing, Succeeded, and Failed states, with exit codes and batch retry for failures.
Quick Deploy
A one click Quick Deploy from the catalog for urgent software packages or one off installs, still requiring explicit device targeting.
Deployment history & compliance
Every action permanently logged (package version, scope, operator, and outcome), showing what was installed as of any historical date.
02
Distribution & ring staging
Deploying large packages to thousands of endpoints simultaneously can cripple network performance. Distribution points cache packages at the edge before deployment begins.
Satellite distribution points
Local caches that download packages once from the central repository and serve endpoints over LAN, with live cache inventory and sync status.
Ring based deployment
Staged promotion through Canary (1–5%), Pilot (10–20%), then Broad, with automated holds and rollback based on success rate thresholds.
Agentless delivery
For endpoints without an agent, SSH or WinRM push packages, execute installers, and verify completion, extending reach to servers and kiosks.
AI intelligence
AI that works with your team, not instead of it
AI is embedded throughout the platform, not an add on chatbot. Each engine is purpose built for a specific operational domain, produces explainable recommendations with confidence scoring, and requires human approval before any automated action. Governance first, intelligence always.
01
Six AI engines, one governed platform
Asset risk intelligence
Continuous multifactor device risk scoring across age, compliance gaps, usage anomalies, and hardware health signals.
Compliance gap analysis
Multi framework compliance scoring with AI generated remediation playbooks prioritized by risk impact and effort.
Self healing operations
Anomaly detection with automated remediation proposals: configuration drift, performance degradation, and recurring failures resolved early.
Natural language query
Ask questions about your estate in plain English and get structured, filterable results backed by real time data.
02
Asset risk AI
Not all risks are equal. Multiple signal sources combine into ranked, actionable priority lists so operations teams focus where it matters most.
Multifactor risk scoring
Each device receives a continuous 0–100 risk score from age, compliance status, security posture, behaviour anomalies, and hardware failure indicators, updating automatically as conditions change.
ExplainableContinuousActionable
Score breakdown
Every risk score comes with a component breakdown, so operators see exactly how much each factor contributed and can drill directly to the underlying data. AI is never a black box.
Rank change badges
The AI Priority list persists rank positions across refreshes. When an asset's rank shifts, an up/down badge shows the delta for instant situational awareness.
03
Compliance & operations AI
Multi framework compliance gap analysis
Maps endpoint compliance against CIS Benchmarks, NIST CSF, ISO 27001, and custom policies: identifying failing controls, generating prioritized remediation playbooks, estimating effort, tracking trend, and producing audit ready evidence.
AI policy author
Describe a compliance requirement in natural language and the AI drafts the technical check definition, evaluated across your fleet with no manual scripting required.
04
Self healing & operations AI
The highest value AI use case in IT operations isn't analysis. It's prevention. These engines detect anomalies and predict failures before they generate helpdesk tickets.
Configuration drift detection
Continuous comparison against known good baselines, with severity classified drift events and AI recommended remediation pending human approval.
Predictive maintenance windows
Analyzes historical usage patterns to predict the optimal maintenance window per device, enabling fleet level scheduling optimization.
AI remediation engine
Generates executable remediation proposals (scripts, policies, or deployments) with confidence scores; approved proposals dispatch as standard fleet jobs.
Cloud cost anomaly detection
Monitors cloud spend against historical baselines and commitments, surfacing unexpected instances and orphaned resources within hours.
Employee help desk copilot
A conversational AI assistant answering device status questions, guiding self service remediation, and escalating to IT with full context.
Executive briefing generator
Generates plain language briefings from estate data (risk posture, compliance, cost anomalies, and priorities) formatted for CIO, CISO, and CFO audiences.
Competitive analysis
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 |
Competitive analysis
Where XpediOo wins uniquely
- Only platform with HAM + SAM + Delivery + AI in one product
- Real time CMDB health scoring, not a quarterly audit process
- Focus time application usage, not just "was it open?"
- Continuous asset risk scoring with explainable recommendations
- Natural language fleet queries without professional services
- Geographic asset map with geofence and WFH device visibility
Business value & ROI
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.
30%
Average software cost reduction via reclamation
60%
Reduction in audit preparation time
45%
Fewer L1 helpdesk tickets via self healing
3×
Faster asset operations with AI prioritization
Software cost savings
Usage based reclamation identifies unused licenses for return or nonrenewal. 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.
AI Powered ITAM
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