TRY
Reliability Engineer
Bring a real technical question and experience SyncAI’s evidence-led reasoning before committing to a project.
Open the live workspace →Governed industrial intelligence
Better industrial decisions, grounded in the evidence your operation already has.
SyncAI connects approved knowledge, asset context, work history, and operating evidence so reliability and maintenance teams can investigate failures, prioritize work, and move recommendations through controlled human approval.
Evidence-led
Facts, hypotheses, gaps
Human-governed
Approval stays explicit
Operational
Built around asset work
Reliability Engineer
Decision workspace
Question
Seven low-lube-pressure trips in six weeks. Five occurred within 20 minutes of startup. Should we lower the trip setpoint or replace the bearings?
Established facts
- • 7 trips / 6 weeks
- • 5 clustered after startup
- • Historian scaling conflicts with field calibration
What is not proven
- • Bearing damage
- • True low-pressure condition
- • Safe basis for a lower trip setpoint
Lowest-regret next action
Do not change the protection setpoint or condemn the bearings yet. Reconcile pressure scaling, capture a controlled startup sample, and complete a governed post-trip inspection before selecting the intervention.
Evidence → reasoning → authority → verificationDecision basis remains reviewable
Three ways to start
Experience it, establish the baseline, then operationalize what the evidence supports.
ASSESS
Reliability Intelligence Assessment
A US$35K fixed-scope, 6–8 week assessment that establishes a decision-grade baseline from the maintenance records you already have.
Explore the assessment →DEPLOY
Strategic Pilot
Operationalize a bounded high-value workflow with explicit evidence, approval boundaries, and outcome verification.
Discuss a Strategic Pilot →The operating model
One governed path from operational evidence to controlled action.
SyncAI is designed around the way high-consequence industrial decisions should be made: show the basis, expose uncertainty, keep authority clear, and verify the outcome.
01
Ground the question
Start with approved procedures, asset configuration, work history, condition evidence, and the operating context that governs the decision.
02
Separate fact from hypothesis
Keep observed evidence, assumptions, competing explanations, and missing information distinct instead of blending them into a confident answer.
03
Build the decision case
Structure the technical reasoning, identify what is blocked, and recommend the lowest-regret next action.
04
Route human authority
Approval boundaries stay explicit. Recommendations can be reviewed, escalated, accepted, rejected, or returned for more evidence.
05
Verify the outcome
Close the loop with the evidence and KPIs that prove whether the intervention worked, then carry that learning forward.
The wedge
Start with a Reliability Engineer that can work like an experienced technical partner.
Reliability is where engineering knowledge, maintenance history, asset risk, work execution, and operating context collide. It is the proving ground for SyncAI’s broader industrial intelligence layer.
Open the live workspace →Failure investigation and evidence-led diagnosis
Maintenance strategy and task optimization
Work prioritization and risk-based decision support
Reliability analysis across asset history and condition evidence
Governed recommendations with approval boundaries
Decision records, traceability, and outcome verification
Enterprise design principles
AI that fits the control environment of an industrial operator.
Works with the systems you already run
SyncAI is designed to sit across the industrial information estate rather than force a rip-and-replace of the CMMS, EAM, ERP, historian, document, and inspection systems that remain systems of record.
Human authority is part of the architecture
Industrial recommendations can affect safety, production, cost, and asset life. Approval, escalation, and accountability are product primitives—not afterthoughts.
Evidence before automation
The platform exposes missing or conflicting evidence, preserves assumptions, and keeps the basis of a recommendation visible to the people accountable for the decision.
Role-based accessApproval workflowsDecision traceabilityEvidence provenanceOutcome verificationMulti-tenant controls
Security and deployment capabilities are described by implemented controls and validated configuration. SyncAI does not represent third-party certifications as complete unless they have been formally achieved and are current.
Where it fits
Built for asset-intensive organizations.
The common problem is not a shortage of data. It is converting fragmented technical evidence into consistent, accountable decisions at operating speed.
Mining & heavy equipment
Energy & utilities
Oil & gas
Manufacturing
Transportation & fleets
Infrastructure & facilities
Choose the right starting point
Test the intelligence, establish the reliability truth, or move a qualified workflow into production.
SyncAI is designed to reduce the commitment required for the first useful step while keeping evidence, authority, and verification intact.