Detect faster. Understand faster. Recover
production faster.
VeloTrace helps operations, maintenance and engineering teams
investigate production incidents, understand likely root causes and choose the next best action with
evidence they can validate.
✓Read-only by
design✓Built for factory
constraints✓Human validation✓Explainable
recommendations
VeloTrace / Incident Investigation
Line 03 — Incident investigation
Packaging Hall / Current shift
LIVE
Production incident detected14:32:08
Intermittent sealing instability
Pressure behavior changed 94 seconds before the quality event.
74% confidence
LIKELY CAUSEPressure drift
Ranked from timing, machine context and related production evidence.
NEXT CHECKInspect regulator
Verify supply pressure and sealing-jaw response before restart.
INCIDENT INVESTIGATIONMTTA 02:14
OPERATIONAL MEMORY3 related incidents
Previous confirmed resolution and technician notes are available.
↓ MTTDFaster incident understanding
↓ MTTRLess troubleshooting time
↑ OEEBetter operational decisions
Read-onlyNo machine control or PLC
changes
See VeloTrace in action
See how one production incident becomes a faster operational decision.
Walk through a simulated quality incident—from detection and timeline
reconstruction to root-cause analysis, human validation and recommended next actions.
✓Synthetic production data. No customer
information is displayed.
✓ ResolvedDetected 6 Jul 2026 · 06:47:36
Quality deviation — seal rejects above
threshold
Carton and bottle filling · Juice & soft drinks line
02
MTTA25m
MTTR1h 30m
Severity0.99
Top RCA hypothesisUnstable pneumatic air supply during startup
74%
Recommended first checks
Verify air-pressure stability during startup
Inspect regulators, filters and air connections
Test filling valves and sealing actuators
The operational gap
The costly part of a production incident is often the time spent understanding
it.
Factories may already have alarms, dashboards and experienced people.
The gap appears after the alert: teams still need to reconstruct what changed, decide what to check and find
the person who remembers the last similar event.
01What changed before the line
stopped?
02Which signal or event is
evidence—and which is only noise?
03Has the same pattern happened
before?
04What should the operator or
technician check first?
05Will the resolution be available to
the next shift?
Without connected incident support
1A production incident or loss is noticed
2Calls, messages and manual data gathering
begin
3Teams inspect multiple systems and rely on
memory
4Production recovers, but the learning is
fragmented
With VeloTrace
1Incident context is assembled automatically
2Relevant signals, states and events appear on one
timeline
3Ranked causes and recommended checks guide the
response
From the first signal to a reusable lesson learned.
VeloTrace supports the full operational workflow without taking control
away from production and maintenance teams.
01
Detect
Identify production incidents and meaningful operating changes early.
02
Contextualize
Put relevant machine context and production events in one view.
03
Investigate
Build an evidence-backed timeline and rank likely causes.
04
Alert
Notify the right people through operational channels.
05
Guide
Recommend the checks most likely to speed recovery.
06
Validate
Keep humans in control of cause and resolution confirmation.
07
Learn
Preserve the event, evidence and confirmed solution for future use.
Decision-support capabilities
Built to help teams investigate production incidents and recover faster.
VeloTrace brings operational context, evidence and human validation
together so teams can move from alert to action with less repeated troubleshooting.
01
Incident visibility
Help teams see active production incidents and the context needed to investigate
them quickly.
02
Explainable RCA
Rank likely root causes with supporting evidence, so experts know what to validate
first.
03
Guided troubleshooting
Clear recommended checks help teams prioritize work and restore production faster.
04
Incident workflow
Acknowledgement, escalation, closure and MTTA/MTTR tracking create operational
consistency.
05
Operational memory
Previous incidents, technician feedback and confirmed fixes reduce dependency on
tribal knowledge.
06
Production-loss context
Connect incidents to availability, performance, quality, throughput and recurring
loss patterns.
Industrial architecture
Built for factory constraints—not adapted from generic SaaS.
Sensitive production data stays inside the factory. VeloTrace's local
Edge layer can process and normalize production data within the factory environment, so only the information
required for analysis is sent outside, according to the customer's defined data policy.
✓No automatic machine
actuation
✓No PLC logic changes
required
✓Local buffering and
resilience
✓Configurable edge or
cloud analysis
✓Controlled outbound
communication
✓Human approval for
operational conclusions
PLC / Machine
SCADA / Historian
MES / CMMS
↓
VeloTrace Edge Appliance Read-only collection · normalization · local analysis
↓
Incident Engine
RCA & Reasoning
Knowledge Layer
↓
Dashboards
WhatsApp / Alerts
Reports / API
Explainable by design
A traceable operational hypothesis, not a black-box answer.
VeloTrace is designed to show why a cause was ranked, which evidence
supports it, what uncertainty remains and what the team should verify next.
Likely causeSeal-pressure regulator instability
Earliest precursorPressure drift began 94 seconds before the quality event
Supporting evidenceSupply pressure, jaw response time and machine-state transition
Alternative hypothesisProduct-feed misalignment, lower confidence
Recommended actionInspect the regulator and verify pressure recovery before restart
Initial focus
Designed for production environments where recurring incidents directly affect
output.
VeloTrace starts with critical production lines where faster
investigation, better decisions and reusable knowledge can create measurable value.
Continuous & batch
Food & beverage
Filling, sealing, mixing, thermal processing and packaging operations.
High-frequency stops
Packaging
Critical lines with recurring jams, quality incidents and micro-stops.
Process-sensitive
Plastics
Extrusion, injection molding and blow-molding environments.
Modern equipment
Electronics
High-volume production where repeated incidents and response time matter.
Start with one critical line and a measurable incident question.
A focused pilot can establish a baseline, connect selected data sources, validate
recurring production incident scenarios and measure improvement in detection, troubleshooting and recovery
time.
Funding & Support Programs for Industrial Technology Adoption
Eligible Israeli manufacturers may have access to funding and
support programs for digitalization, artificial intelligence, advanced manufacturing and professional
implementation services.
Subject to the specific program requirements and approval, a
VeloTrace deployment may potentially form part of an eligible technology investment project.
Support of 35% of the approved investment, up to NIS 350,000, for
businesses meeting the program requirements. Eligible project categories may include production computing
systems, software, control and automation, innovative technology implementation, professional services and
certain related hardware, subject to official terms.
AI Adoption Support - Manufacturers Association of Israel
Eligible members of the Manufacturers Association's mutual fund may
receive support for AI adoption of 50% of approved expenses, up to NIS 50,000 per calendar year, subject
to the program requirements. This may potentially be relevant to a VeloTrace AI deployment where the
customer and project meet the requirements.
Eligible manufacturers can receive professional support for operational
improvement and advanced technology adoption. Certain programs provide 50%-70% subsidies for professional
consulting hours, depending on location, manufacturer characteristics and specific program requirements.
A government support program for eligible industrial manufacturers
investing in advanced manufacturing technologies and productivity improvement. Projects involving
digitalization, operational information systems, production-data collection and analysis or advanced
manufacturing technologies may potentially qualify, subject to official approval.
Certain project components may potentially fall within eligible expense
categories under specific programs, subject to official approval.
Connection to a critical production line
Edge deployment and machine-data acquisition
PLC / SCADA integration
Production-data mapping
Configuration and implementation
Monitoring and anomaly detection
Incident analysis and guided troubleshooting
Training and professional support
Eligibility, funding rates and eligible expenses are determined solely by
the organization operating each program and according to its official terms. VeloTrace does not guarantee
grant or funding approval. Last updated: August 2026
Frequently asked questions
Clear answers for operations, maintenance and integration teams.
What exactly is VeloTrace AI?
VeloTrace is a production incident investigation and decision-support solution for
manufacturing teams. It helps operations, maintenance and engineering teams understand what happened,
evaluate likely root causes and restore production faster.
Does VeloTrace control machines or modify PLC logic?
No. The initial deployment is read-only. VeloTrace does not automatically actuate
equipment or change PLC logic. Operational teams remain responsible for approving and executing actions.
Do we need years of clean historical data?
No. VeloTrace can start from current operating data and
build richer context as validated incidents, causes and resolutions accumulate.
Is VeloTrace a replacement for SCADA, MES or CMMS?
No. VeloTrace complements existing industrial systems by adding evidence-backed
incident investigation, guided troubleshooting and reusable operational learning.
How does a focused pilot begin?
A pilot typically begins with one critical production line, a limited set of approved
data sources, defined production incident scenarios and agreed success metrics such as MTTD, MTTR or
troubleshooting time.
