Reliability for manufacturing software.
Validate MES, quality, and production workflows continuously.
The risks that name themselves
The pressure points that show up every quarter, every release, and every customer escalation.
- 01
MES and quality workflows regressing on production lines
- 02
Production line outages with no shared picture
- 03
Audit-grade evidence for change control
Coverage on the flows that break the business when they fail
Manufacturing execution
Validated continuously with policies, evidence, and human approval where required.
Quality management
Validated continuously with policies, evidence, and human approval where required.
Production planning
Validated continuously with policies, evidence, and human approval where required.
Asset performance
Validated continuously with policies, evidence, and human approval where required.
Industrial IoT pipelines
Validated continuously with policies, evidence, and human approval where required.
Zof förstår systemet som dina tester skyddar.
Plattformen kartlägger kontinuerligt tjänster, beroenden och de CI/CD-pipelines som flyttar kod in i dem. Risksignaler sprids längs grafen så att en regression i en tjänst syns mot allt den berör.
KARTLAGD YTA
20 tjänster
Över köer, cacher, agenter och externa system.
FÖRÄNDRINGSMEDVETENHET
CI/CD-kontext
Pipelines visas bredvid grafen.
RISKSPRIDNING
Signaler på kantnivå
Fel följer med beroendena.
- 01 · SERVICE TOPOLOGY
20 services
28 dependency edges
- 02 · RISK SIGNALS
2 active
83% coverage observed
- 03 · CI/CD AWARENESS
Build succeeded
- Azure DevOps
- 8m 22s
Built for the constraints you actually have.
Capabilities mapped to how your teams ship, govern, and recover - not a generic feature list.
Workflow validation
MES + quality workflow validation.
Audit-grade evidence
Defensible evidence for change control.
Evidence by default.
- 01
Designed for manufacturing engineering teams
See Zof on your systems.
A walkthrough focused on your release process, audit posture, and the evidence your team needs before the next ship date.