Pricing
Simple pricing. Prove value before you scale.
Start with a data review, move into guided expansion when the first proof is clear, and scope advanced rollout only when it is justified.
Starter Review
Available nowBest for: secure data review, guided kickoff, and a first action plan from existing maintenance data.
$99/mo
- Layer 1 review workflow
- Secure upload and guided data intake
- Maintenance timeline normalization
- Repeat-failure and downtime-impact review
- Guided first action plan
- Proof package for internal buy-in
Guided Expansion
Available now / pilot-ledBest for: Layer 2 rollout now, with qualified Layer 3 or Layer 4 pilot scope after proof.
From $299/mo
- Layer 2 preventive compliance review
- PM schedule and conformance analysis
- Guided rollout planning for the next phase
- Qualified pilot scoping for sensor or ERP-linked work
- Success criteria agreed before expanded scope starts
- Proof-first expansion rather than all-at-once rollout
Advanced pilot pricing depends on site complexity, data readiness, and whether hardware or production-system inputs are in scope.
Custom Rollout
Qualified expansionBest for: factories that already have proof and want a staged commercial plan beyond the first review.
Scoped
- Custom pilot or rollout design
- Production and ERP data scoping
- Commercial and technical review for advanced layers
- Roadmap discussion for planning and optimization work
- Security, data handling, and deployment constraints reviewed upfront
- No public promise of default turnkey rollout
How expansion works
Proof before broader rollout.
- Step 1: Secure review of the maintenance data you already have.
- Step 2: Guided kickoff and a first action plan grounded in measurable proof.
- Step 3: Layer 2 rollout if preventive-maintenance review is the next highest-value move.
- Step 4: Qualified Layer 3 or Layer 4 pilot only if the earlier work proves the need.
- Step 5: Planning and optimization stays roadmap unless earlier stages clearly support it.
Proof first
Use the proof page as the credibility check.
The site now points back to proof rather than platform breadth. If you want to assess whether the public promise is credible, start with the anonymized review outputs and measured-change example.