QA/S SPC
QA/S SPC: Manufacturing SPC with gauge links, machine data collection and MES/ERP synchronization. Ranked #3 of 15 in SPC Software by our editors (8.6/10); pricing: Pricing on request; best for production teams connecting SPC with gauges and MES.
At a glance
- Editor score8.6 / 10
- PricingPricing on request
- Best forProduction teams connecting SPC with gauges and MES
- Process capability analysisYes
- Facts checked24 Sep 2026
Where it wins
- Calculates Cp, Cpk, Pp and Ppk alongside control charts.
- Collects data from multiple machines at one station.
- Connects Sylvac and Mitutoyo gauges and synchronizes with MES and ERP.
Where it doesn't
- Pricing requires contacting the vendor.
- Deployment details span cloud and desktop, while hosting specifics are unclear.
- Email is the listed support channel.
Our verdict on QA/S SPC
QA/S SPC is a statistical process control product for manufacturing operators, quality personnel, engineers and managers. It combines capability calculations such as Cp, Cpk, Pp and Ppk with control charts, dashboards and quality reports. Teams monitoring process variables and responding to deviations can configure control limits, alarm rules and notifications, and add operator comments to quality samples. The product is available through web and Windows interfaces, with deployment described as cloud and desktop.
Gauge and factory-system connectivity is a notable part of its scope. QA/S SPC supports Sylvac and Mitutoyo gauges, with customizable gauge options, and can collect data from multiple machines at one station. It also lists Microsoft Dynamics, MES systems and SCADA among its integrations, and can synchronize quality data automatically with MES and ERP systems on a configured frequency. These capabilities suit production teams seeking to connect measurement and process monitoring with existing manufacturing systems. Buyers should clarify which integrations and synchronization configurations match their environment.
The product offers configurable templates for process parameters, customizable upper and lower control limits, and statistical alarm rules. That flexibility can help teams adapt monitoring to different processes, while also making configuration a consideration during rollout. The vendor's pricing model is contact sales, so teams will need to discuss costs directly before comparing plans. Email is the listed support channel. QA/S SPC is a fit for manufacturers that need capability analysis plus gauge and machine-data connectivity; teams looking for self-serve published pricing or a clearly specified hosting model may prefer to evaluate alternatives.
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QA/S SPC pricing
QA/S SPC fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Process capability analysis | Yes |
| Gage R&R / MSA | Not verified |
| Real-time monitoring | Yes |
| Rule-based alerts | Yes |
| API access | Not verified |
| Data collection mode | Mixed |
| Deployment model | On_premise |
| Deployment | Cloud, Desktop |
| Platforms | Web, Windows |
| Support | |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: Sylvac, Mitutoyo, Microsoft Dynamics, MES systems, SCADA |
| Pricing | Pricing on request |
| Website | benchmarksolution.com |
| Facts checked | 24 Sep 2026 |
QA/S SPC integrations
QA/S SPC lists 5 integrations on its own site.
- Sylvac
- Mitutoyo
- Microsoft Dynamics
- MES systems
- SCADA
Alternatives to QA/S SPC
- NEXSPCConfigurable SPC with real-time charts, mixed data collection and optional MSA analysis.8.9
- Zontec SynergySPCWindows-based SPC for real-time monitoring, analysis and flexible measurement capture.8.7
- Mitutoyo MeasurLinkA Windows-based suite for collecting instrument data and analyzing production quality.8.4
See all QA/S SPC alternatives →
QA/S SPC vs the competition
- QA/S SPC vs NEXSPC
- QA/S SPC vs Zontec SynergySPC
- QA/S SPC vs Mitutoyo MeasurLink
- QA/S SPC vs SigmaDesk
- QA/S SPC vs SAS/QC
- QA/S SPC vs FAST SPC Software
Compare QA/S SPC with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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