Detect and quantify
SPC, inspection and rejection reveal process deterioration and loss.
Qualitiviss connects quality execution, quality records and quality intelligence in one system. From shop-floor SPC and internal rejection to customer complaints, 8D, PFMEA, Control Plans, MSA, audits, warranty and quality learning, it creates one connected quality source of truth—with QAI as the decision-support layer on top.
Investigate the recurring cause, validate the corrective action, review the PFMEA and Control Plan, then verify effectiveness before closure.
Illustrative product-output example. Values and findings are not customer results unless a published case study is linked below.
Move beyond scattered reports. Bring the quality evidence available across plant operations into one review: what changed, where losses are growing, which issues have recurred and what needs human attention.
Evidence: SPC and inspection measurements
Evidence: Internal rejection and approved cost data
Evidence: Complaints, 8D and CAPA history
Evidence: PFMEA and Control Plan context
Conceptual workflow, not a live customer dashboard. Data access and connected capabilities depend on the deployed modules and integrations. QAI assists; authorized teams validate and approve actions.
SPC, inspection and rejection reveal process deterioration and loss.
QAI supports evidence collection, complaint investigations and 8D preparation.
Connect lessons to PFMEA, Control Plans and approved effectiveness checks.
Built for the shop floor. Trusted for compliance. Designed to help manufacturing teams connect quality evidence, investigate faster and prevent repeat losses.
Evaluate how a quality platform supports both compliance and operational improvement. Ask more than whether a system documents compliance: how does it connect SPC, rejection and COPQ to complaints, 8D, PFMEA, Control Plans and action effectiveness?
Bring process risks, control plans, audit evidence and corrective actions into a connected quality workflow.
Link shop-floor measurements and rejection evidence to recurring loss and COPQ priorities, subject to available integrations.
Use QAI to assemble evidence and propose investigation priorities; engineers validate causes and approve actions.
Competitors offer differing quality-management, analytics and AI capabilities. This is a comparison of evaluation priorities, not a claim that other platforms lack these features. Ask for a demonstration of capabilities and integrations available in your deployment.
Traditional systems can help teams record a complaint, create an 8D and close an action. Qualitiviss is designed to close the quality loop: connect the failure to operational evidence, corrective action, PFMEA, Control Plan, SPC and effectiveness verification so recurrence becomes visible and preventable.
Turn rejection percentages into COPQ priorities across scrap, rework, sorting, customer rejection, warranty and recurring defects—then drill into the plant, product, process, line, shift or characteristic driving the loss.
Bring production, inspection, rejection and historical incident context into the investigation so engineers spend less time reconstructing what already happened and more time solving the problem.
Connect corrective action back to PFMEA, Control Plan and process control, verify effectiveness and retain the learning so the next team or plant does not start from zero.
A corrective action marked Closed does not prove the problem is eliminated. When quality records remain disconnected, the same defect can return through another line, product, shift or plant—and the organization pays for the problem again.
Qualitiviss connected product traceability, division and supplier ownership, and human approvals as the warranty team moved from 78 days to within the 45-day closure SLA while handling four times the volume.
QAI works across the connected quality context available inside Qualitiviss to help teams understand what changed, what is costing money, what is recurring, what requires attention and what should happen next. AI proposes; authorized quality professionals validate and decide.
Turn quality loss into a daily management signal.
A prioritized view of where the quality team should act first to reduce cost of poor quality.
QAI assists analysis and prioritization; management and quality teams retain decision authority.
Bring previous quality knowledge into every investigation.
Less time reconstructing history and more context for faster, stronger problem solving.
Engineers validate root cause, containment, corrective action and customer-facing responses.
Check whether closed actions are actually preventing recurrence.
Stronger prevention discipline and a clearer link between corrective action and process control.
PFMEA, Control Plan and process-control changes remain under authorized human approval.
Prepare the quality story without hours of manual consolidation.
Quality professionals spend more time improving quality and less time preparing the story of what already happened.
QAI prepares evidence-backed analysis; the quality team reviews, validates and acts.
Start with one operating decision, connect the evidence already available and expand as value becomes visible.
Where is quality costing us the most right now?
Which defects, parts, processes, lines or shifts are driving COPQ?
Have we seen this customer complaint or failure mode before?
Did the previous corrective action actually prevent recurrence?
Which PFMEA and Control Plan are affected by this issue?
What changed this week, why does it matter and what needs attention next?
One connected quality source of truth across quality planning, execution and corrective action
COPQ visibility by plant, product, part, process, line, machine, shift, characteristic and defect
Faster complaint and 8D preparation with relevant historical quality context
Connected PFMEA, Control Plan, SPC, inspection and corrective-action evidence
Effectiveness verification and recurrence visibility instead of record closure alone
QAI-assisted quality reviews, investigations, pattern detection and recommended next steps
Connect directly where data is accessible. Use EdgeVISS where operational data is trapped inside machines, controllers or industrial protocols.
Deploy in the architecture that fits the plant, data-governance and latency requirements. Access remains governed and operational experts retain decision authority.
See how Qualitiviss connected product traceability, stakeholder ownership and ticket closure, with QAI accelerating analysis.
Qualitiviss captures, controls and connects your quality processes. QAI analyzes context, surfaces patterns and assists decisions. Your quality team validates, approves and acts.
Begin with one dataset, one recurring problem and one decision your team needs to improve.
Start With One Quality ProblemEach Dataviss application can deliver independent value. Supported integrations can progressively connect operational context across functions. Your teams retain authority over critical decisions.
Explore the Dataviss ecosystem