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DE Plans That Scale with Your Lines
From single-line PoCs to global deployments, LIVIS pricing grows with your operation and your ROI.
Pilot
Validate AI inspection on one line
- Core Access (train, deploy, inspection, analytics)
- 1 workspace (expandable)
- Up to 2 Stations (multi-defect per camera)
- Up to 3 model trainings/month
- Cloud deployment (default)
- 2TB/site storage
- 24/7 Customer Service
Plant
Scale across lines within one site
- Core Access (train, deploy, inspection, analytics)
- Multi-workspace (single site) + audit logs
- Up to 10 Stations
- Up to 10 model trainings/month
- Cloud or On-Prem
- 10TB/site storage
- 10TB/site storage
Enterprise
Standardize AI inspections company-wide
- Core Access (train, deploy, inspection, analytics)
- Unlimited workspaces across sites
- Unlimited model trainings
- Hybrid deployment (Cloud + On-Prem + Private Cloud/VPC)
- Unlimited storage & media
- Custom Data Reports (FPY/Trends, Root-cause, Operator, ROI, Exec Summary)
Included With Every Plan
Custom-Fit Solution
Every factory runs differently, and one-size-fits-all tools rarely work. We diagnose your setup on-site and deliver a solution tailored to your needs.
Smooth Onboarding
New technology is exciting but can feel overwhelming. With guided setup and hands-on training, your team gets inspection-ready from day one.
Same-Day Response
Issues shouldn’t stop your line. Get fast answers through email, Slack, or direct support whenever problems arise.
Always Up to Date
Benefit from regular updates that keep your inspection system smarter and always current.
From Hidden Costs to Measurable Gains
What manufacturers lose with traditional inspection and what they gain with LIVIS.
Without LIVIS
Missed Defects
→ Recalls & brand damage ($500K–$50M+)
False Rejects
→ Good parts scrapped ($100K–$500K/year)
Downtime
→ Lost revenue + missed SLAs ($10K–$100K/day)
Manual Tuning
→ Engineering hours lost ($50K–$200K/year)
Blind Spots
→ No traceability or RCA
Training Complexity
→ Long onboarding cycles
With LIVIS
Missed Defects
→ Recalls & brand damage ($500K–$50M+)
False Rejects
→ Good parts scrapped ($100K–$500K/year)
Downtime
→ Lost revenue + missed SLAs ($10K–$100K/day)
Manual Tuning
→ Engineering hours lost ($50K–$200K/year)
Blind Spots
→ No traceability or RCA
Training Complexity
→ Long onboarding cycles
Frequently asked questions
How many images or samples are needed for training the AI model?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
What types of camera systems and manufacturers are compatible with LIVIS?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
How easy is it to expand LIVIS to additional lines?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
How does LIVIS AI training work?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
What is the overall inspection cycle time?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
Who owns the data in LIVIS?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
Didn't find an answer to your question?
Is there something you’re uncertain about? Reach out to our welcoming team for assistance.