
WATS
Manufacturing intelligence software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if WATS and its alternatives fit your requirements.
€297 per month
Small
Medium
Large
-
What is WATS
WATS is a manufacturing intelligence and test data management platform used to collect, store, and analyze electronics test and quality data across production and repair operations. It is commonly used by manufacturing engineering, quality, and operations teams to monitor yield, identify failure modes, and support traceability and compliance reporting. The product focuses on normalizing data from multiple test systems and providing dashboards, analytics, and reporting for continuous improvement.
Strong test data normalization
WATS is designed to ingest and standardize data from diverse test equipment and formats used in electronics manufacturing. This helps teams consolidate results across lines, sites, and contract manufacturers. Normalization supports consistent KPIs such as yield, DPMO, and failure pareto analysis.
Manufacturing quality analytics focus
The platform emphasizes yield analysis, failure diagnostics, and quality reporting workflows that align with production test environments. Users can investigate trends by product, station, operator, or component attributes. This focus can reduce the effort required to build manufacturing-specific analyses compared with general BI tooling.
Traceability and reporting support
WATS supports traceability use cases by linking test results to units/serials and related manufacturing metadata. This enables audit-ready reporting and faster containment during quality excursions. Centralized reporting also helps standardize metrics across multiple facilities.
Electronics-centric use cases
WATS is most closely aligned with electronics test and repair data workflows. Organizations outside electronics manufacturing may find gaps in domain templates, connectors, or standard metrics. Broader industrial process analytics may require additional tooling or customization.
Integration effort varies by source
Connecting heterogeneous test systems and ensuring clean metadata often requires upfront engineering work. Data quality issues (naming conventions, missing identifiers, inconsistent limits) can reduce the value of analytics until governance is established. Ongoing connector maintenance may be needed as test programs change.
Less suited for real-time OT
WATS primarily targets test-result and quality intelligence rather than high-frequency sensor historians or advanced process analytics. Use cases such as sub-second time-series monitoring, complex signal processing, or OT event correlation may be better served by dedicated industrial data platforms. Teams may need complementary systems for plant-wide real-time observability.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Basic | €0 forever | Up to 5 users; Includes 50 MB analyzed data per month; Secure storage and basic statistics; Forum support. |
| Analytics | €297 per month (annual prepaid) | Up to 30 users; Includes 50 MB analyzed data per month; Scalable beyond 50 MB via pre-paid add-ons; Comprehensive analysis and statistics; Email support and Customer Success Manager. |
| Enterprise | €578 per month (annual prepaid) | Unlimited users; Includes 100 MB analyzed data per month; Scalable beyond 100 MB; Includes Unit Flow, enterprise features & enhanced security; Email support and Customer Success Manager. |
| On Premises | Custom pricing | Self-hosted/private cloud option; Unlimited users; Scalable data allowances; Contact sales for quote. |
Seller details
Virinco AS
Bergen, Norway
2003
Private
https://www.virinco.com/
https://x.com/virinco
https://www.linkedin.com/company/virinco/