NaraOps is subscription software for operations managers. Bring in structured operational files, event histories, related tables or reviewed document extractions and NaraOps works out what the data represents, checks what can safely be compared, surfaces the management findings that matter and helps turn them into measurable action.
Add CSV or Excel snapshots, event-history exports and related tables. You can also explicitly extract PDFs, images and documents into proposed records for review, and in supported browsers connect a desktop folder for recurring intake while NaraOps is open.
It profiles fields, reporting periods, useful measures, business dimensions and relationships between sources. Users remain in control and can correct mappings, exclude fields or change relationships.
NaraOps checks issues such as schema changes, changing populations, incomplete periods, relationship ambiguity, unit drift and other conditions that can make a simple comparison misleading. Where evidence is insufficient, the product can qualify or withhold the conclusion.
Home prioritises what needs attention. Explore supports deeper investigation. Management briefs translate metrics into plain English: what changed, what is going well, what is not, where the risks are and what practical response the evidence supports.
Priority findings can become actions in Improve, preserving a structural link to the finding without storing raw operational rows in the action lineage.
When later reporting arrives, NaraOps can compare the relevant measure and report whether the position improved, worsened, materially changed or is not safely comparable.
Management findings can expose why NaraOps considers them reliable, including evidence, confidence, periods, fields and cautions.
Organisation workspaces support roles, central structural audit history, shared structural memory and organisation-level OIDC SSO configuration.
Our Trust Centre and Security & Data Flow information explain the current processing boundary, controls and limitations rather than making blanket security claims.
Excel can calculate. BI tools can create excellent governed reporting. General AI can discuss data you provide. NaraOps is focused on the operational-analysis gap before and around those tools: understanding changing structured data and reviewed extracted records, harmonising structure, testing comparability, finding management signals, communicating them and following through on action.
For a prospective customer, the intended experience is simple: keep producing the operational evidence you already use and let NaraOps do more of the analysis around it.
The public examples demonstrate NaraOps across different operating models without exposing any customer information. NaraOps is currently being prepared for an initial controlled beta.
The creator business example connects content, audience growth, recorded income and effort. Review the inferred fields, confirm the numerator and denominator for conversion or efficiency, then compare groups and export the evidence. The creator guide explains the data and its limits.