The AI-native asset platform

Asset intelligence,
reimagined.

VeloInventory tracks every device from purchase to retirement, predicts failures before they happen, reclaims wasted software spend, and keeps you audit-ready — all from one live source of truth.

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Failure predicted9assets flagged
acme.veloinventory.com / assets / AST-04821
RISKDell OptiPlex 7090 — Lab 3B workstation● live
VeloInventory predicted a failure91% confidence

SMART telemetry shows rising disk reallocated-sector counts consistent with imminent drive failure — typically 6–9 days out. I’ve opened a condition-based work order and reserved a replacement SSD from stock.

Approve work orderScheduleReassignDismiss
Warranty
Active
Book value
$412
Predicted EOL
~7 days
ISO 55000 · ready
9 failures caught this week

Built for the frameworks your auditors care about

ISO 55000SOC 2ISO 27001HIPAAFDA 21 CFR Part 11GDPRGASB 34ISO 55000SOC 2ISO 27001HIPAAFDA 21 CFR Part 11GDPRGASB 34

Capabilities

One platform for the whole asset lifecycle.

Not a spreadsheet and a stack of point tools. VeloInventory runs discovery, maintenance, software, monitoring, and compliance from one live register — so nothing falls through the cracks.

ONE SOURCE OF TRUTH

Every asset, finally in one place.

VeloInventory auto-discovers your devices, endpoints, and network gear, then keeps a single live register. QR, barcode, and vision tagging make check-in instant — and ghost-asset detection surfaces what you are still paying for but no longer own.

  • Auto-discovery across your estate
  • QR / barcode / vision tagging
  • Ghost-asset detection built in
Asset register · auto-discovered
AST-4821Dell OptiPlex 7090 · Lab 3BIN USEVision-tagged
AST-4822Cisco Catalyst 9200 · IDF-2IN USEDiscovered
AST-3190Ghost: HP EliteBook (no ping)GHOSTFlagged
AST-4830Zebra ZQ630 scanner · Dock 1IN USEQR check-in
PREDICTIVE MAINTENANCE

Fix it before it breaks.

VeloInventory scores every asset for failure risk from live telemetry, then opens condition-based work orders the moment a signal crosses the line. Field techs get a mobile flow with the part, the history, and the fix already attached.

  • AI failure-risk scoring per asset
  • Condition-based PM, not fixed calendars
  • Mobile field-technician workflow
Predictive work order · 91% confidence
VeloInventory: Rising reallocated-sector counts on AST-4821 match the failure signature seen on 3 similar drives. Predicted end-of-life ~7 days. Condition-based work order opened; replacement SSD reserved from stock.
ApproveScheduleReassign
SOFTWARE ASSET MANAGEMENT

Stop paying for software nobody uses.

VeloInventory finds shadow SaaS from spend and endpoint signals, scores utilisation license-by-license, and recommends exactly what to reclaim or downgrade. Cut spend without guessing which seats are safe to pull.

  • Shadow-SaaS discovery
  • Per-license utilisation scoring
  • Reclaim & downgrade recommendations
Software · reclaim recommendations
Adobe Creative Cloud$14.2K/yr
120 seats · 38% used
Figma Organization$5.8K/yr
80 seats · 61% used
Shadow: Notion (SSO)review
unmanaged · discovered
REMOTE MONITORING & ACCESS

See device health in real time.

Live health telemetry, patch and security posture, and remote actions — all from one console. VeloInventory RMM watches every managed endpoint so you can act before a soft failure becomes a hard one.

  • Live device-health telemetry
  • Patch & security posture at a glance
  • Remote actions from the console
Remote monitoring · live
Endpoints online
1,284
Patch compliance
97.3%
Critical alerts
3
Avg CPU load
41%
Push patchIsolateRemote shell
COMPLIANCE & AUDIT

Audit-ready, on demand.

Pick your frameworks from the library, and VeloInventory maps your live asset data to every control. The AI gap scanner tells you what is missing, and evidence packages assemble in one click — no more month-long audit sprints.

  • Framework library out of the box
  • AI gap scanner across controls
  • One-click evidence packages
ISO 55000Evidence package ready

Asset-management audit · Q3

AI GAP SCANNER

38 of 41 controls satisfied from live data. 3 gaps flagged: disposal records missing for 2 retired assets, and one warranty document unlinked. Evidence for the rest is packaged and ready to export.

Controls mapped
38 / 41
Evidence
✓ sealed
Export
1-click

The AI stack

Every asset decision, now AI-native.

Not one model bolted onto a database. VeloInventory has an AI step for every moment of an asset’s life — discovery, prediction, optimisation, and audit. Here’s the full inventory.

🔮

Predict & prevent

  • Predictive failure scoring — every asset gets a live risk score
  • Telemetry anomaly detection across device health signals
  • Condition-based maintenance triggers instead of fixed calendars
  • Residual-value forecasting — know what each asset is worth over time
🛰️

Discover & tag

  • Auto-discovery of devices, endpoints, and network assets
  • Vision tag recognition — snap a photo, VeloInventory reads the label
  • Ghost-asset detection — find what you pay for but no longer have
  • Duplicate and orphaned-record cleanup across your register
💸

Optimise spend

  • License utilisation scoring across every SaaS and on-prem app
  • Shadow-SaaS discovery from spend, SSO, and endpoint signals
  • Reclaim recommendations — cancel or downgrade what nobody uses
  • Renewal and warranty forecasting before the invoice lands
🧠

Ask & audit

  • "Ask VeloInventory" — natural-language queries over your whole estate
  • Compliance gap scanning against your chosen framework library
  • One-click evidence packages generated from live data
  • Audit-ready change history sealed on every asset

+ new asset-intelligence features ship every week.See the full platform →

The shift

The way it’s done. The way it should be.

The spreadsheet & legacy-EAM way
Reactive break-fix — you learn about failures when they happen
Audits take weeks of manual evidence gathering
Shadow SaaS spend is invisible and unmanaged
Assets live in spreadsheets that go stale the day they ship
Ghost assets stay on the books for years
Fixed-calendar maintenance wastes hours on healthy gear
The VeloInventory way
Predictive scoring flags failures days ahead
One-click evidence packages from live data
Shadow SaaS discovered and scored for reclaim
One live single source of truth, always current
Ghost-asset detection reconciles automatically
Condition-based PM triggered by real telemetry

VeloInventory, by the numbers

What teams see once the estate is live.

35%

Less unplanned downtime

22%

SaaS spend saved

96%

Vision-tag recognition accuracy

1-click

Audit evidence packages

Directional figures from VeloInventory pilot deployments.

“

Asset management should be predictive, not reactive— a living picture of everything you own, what it’s worth, and when it needs you next. That’s the product we set out to build.

V
The VeloInventory team
Why we built the platform

See VeloInventory on
your assets.

30 minutes with our team. We load a slice of your real estate. You watch VeloInventory discover, score, and predict live. No slides, no commitments.

Book a walkthrough Or open the sandbox