Every tool cleans after import. We prevent bad data from getting in.
Clean, normalize, and unify discovery data β and fix bad CMDB records β before import.
For MSPs, ServiceNow partners, and enterprise IT teams tired of cleaning up after bad imports.




Upload your discovery exports and CMDB extract. Get instant answers.
See exactly which devices can be matched by serial, MAC, hostname β and which gaps need filling.
Instantly see field completeness, conflicts, and normalization issues across all sources.
Get suggestions for standardizing manufacturers, models, OS names, and locations.
See exactly how your data would match with different identifier strategies.
Flag CMDB records not seen in recent discovery scans β before they cause problems.
Separate CSVs for inserts, updates, and stale records β ready for ServiceNow or any CMDB.
This analysis used to take consultants weeks. ServiceMatch does it every run.
Good question. IRE is powerful β but it solves a different problem.
| Capability | ServiceNow IRE | ServiceMatch |
|---|---|---|
| When it runs | After import | Before import |
| What it reconciles | CIs already in CMDB | Raw discovery exports + CMDB extract |
| Duplicate prevention | Merges after creation | Prevents creation entirely |
| Stale record detection | Requires custom scripting | Built-in, automatic |
| Multi-source normalization | Limited | 14+ strategies, weighted scoring |
| Field conflict resolution | Trust hierarchy per data source | Discovery β HR β Manual. Fill gaps, never override. |
| Provenance tracking | Audit log only | Full field-level provenance |
| Analysis before commit | No β changes are live | Yes β review before import |
IRE is great for ongoing maintenance. ServiceMatch is for getting it right before the first import β and staying right on every refresh.
Core capabilities you won't find in post-import tools
Discovery β HR β Manual. Fill gaps, never override, flag conflicts. Core differentiator for field conflict resolution.
The lightbulb that tells you what fields to request from scan operators. Proactive guidance for better discovery data.
Add a field, see coverage update instantly. Design your import schema with real-time visibility into data quality.
Anomalies, collisions, and human review β before import. Never push conflicts into production.
Full governance tracking for every field value. Know exactly where data came from and why it was chosen.
Forrester/Gartner language. CMDB as input, not authority. Align with modern IT management thinking.
Most CMDBs are device inventories. ServiceMatch helps you take the next step β grouping and classifying golden device records into user-defined business services.
Create business services that match your organization β not a vendor's template. Name them, describe them, set the rules.
Map devices to services using department, location, naming patterns, or custom rules. No manual spreadsheet work.
Export service-aligned data ready for ServiceNow CSDM. Build the foundation for service mapping and ITSM workflows.
Turn a flat CI list into a service-aligned CMDB β before your first import.
Real screenshots from the ServiceMatch interface. This is what you'll see when you run a reconciliation.
Readiness gates tell you exactly when data is import-ready. No guessing, no spreadsheet audits. Four gates must pass: records processed, classification complete, conflicts resolved, and IRE identifiers sufficient.
If something blocks import β like insufficient identifier coverage β you'll know immediately, with a link to fix it.
See exactly how ServiceNow IRE will match your records β before you import. Coverage, uniqueness, and collision counts for each identifier field.
Serial at 73.4% coverage with 46 collisions? You'll know to request better serial data from your scan operators β or fall back to hostname.
Design your CMDB schema with real-time coverage percentages. Add a field, see instantly whether your sources can populate it.
Each CI class shows field coverage, identifier coverage, and readiness status. βIRE Riskβ flags classes where identifier coverage is too low for reliable matching.
See every transformation ServiceMatch applied to your data. Domain suffix removal, manufacturer standardization, model normalization, typo correction.
Grouped by source system, with record counts. No black box β you know exactly what changed and why.
Know exactly where every field value came from. See which discovery systems contributed data, how many records each provided, and field-level coverage across all sources.
Intune: 1,203 records. Nexthink: 217. HR/AD: 3,580. Instantly identify coverage gaps and decide which scan operators need to provide better data.
Upload discovery exports, your existing CMDB extract, Entra ID users, and HR data β no agents, no reconfiguration needed.
Standardize manufacturers, models, OS names, locations, and departments to canonical values.
Match devices across sources using 14+ strategies: serials, MACs, hostnames, fuzzy logic, weighted scoring.
Create one authoritative record per device, group into user-defined business services, and enrich with HR/Entra ownership data.
Intelligent decisioning engine compares golden records against your CMDB and determines exactly what action each CI needs.
Export import packages for ServiceNow or any CMDB β with separate files for inserts, updates, and stale records.
Clean data enters the CMDB. Nothing dirty gets in.
No agents. No new infrastructure. No vendor cloud.
Self-contained Docker container. Data never leaves your control.
Make CMDB and CSDM delivery predictable, profitable, and differentiated.
Use the same repeatable, automated workflow across all clients.
Remove 80β90% of manual cleanup and spreadsheet labor.
Start every engagement with clean, reconciled device data.
Offer pre-import reconciliation and golden records β a capability no other firm has.
Run inside your environment, client environments, or secure networks.
Upload a sample dataset and get a full reconciliation report.