Data & Provenance · Shipping next
Every number, traceable. Every decision, defensible.
The audit-trail layer underneath everything else. We capture where every data point came from, who changed it, when, and why. Every score has a source. Every recommendation survives a governance review.
Status
In active development
Target: pilot customers Q3
Core lineage engine built and tested on pilot data
User interface for drill-down lineage viewing currently in design review
Public documentation and API contracts will ship with the first GA release
What provenance unlocks.
Explainability is not a post-hoc feature. It is a design principle. When a score is challenged in a governance review, the answer is not “the model said so” — it is “here is every input that drove this recommendation.”
Lineage
Every risk score traces back to its source data
A Weibull curve is only as defensible as the maintenance records behind it. Rivolq stores the chain — from raw CMMS entry to parsed field, to normalized value, to scoring layer, to final output. Click any score and walk backward to the underlying record.
Timestamps
Immutable audit log of every data change
When a technician updated the condition grade. When the integration ingested a new work order. When an analyst overrode an automated score — and why. Every event is append-only, timestamped, and attributable to a user or system.
Attribution
Know which team, which system, and which vendor owns each data point
Maintenance history from Vendor A, inspection records from Team B, condition assessments from Consultant C — all with their source clearly marked on the record. Data quality disagreements become a conversation about evidence, not opinion.
Confidence
Every output carries a confidence band based on input quality
A risk score built on 10 years of clean maintenance records reads differently than one built on 6 months of partial data. Rivolq surfaces that confidence band in every output so decisions reflect what we actually know.
Built on ALCOA+ principles
The same data integrity standards regulated industries already trust.
ALCOA+ is the evidence standard FDA, EMA, and EPA inspectors expect for regulated data. We apply the same framework to facility-side data — so when your maintenance records become evidence in a capital decision or a compliance review, they hold up.
Attributable
Every change tied to a user, system, or timestamp.
Legible
Records are human-readable and machine-readable — no black boxes.
Contemporaneous
Data is captured at the time of the event, not reconstructed later.
Original
First-capture data is preserved alongside any downstream transformations.
Accurate
Changes are validated against source-of-truth records before they commit.
Want audit-grade data provenance on day one?
Data & Provenance ships with the next platform release. Early access customers get the first look at the lineage UI, the API contracts, and input on the features that matter most for their audit and governance workflows.