N
Notice
Identify important movement, unusual concentrations and emerging risks or opportunities.
Management intelligence from operational data
Turn operational data into better management decisions.
NaraOps learns the structure of the data your teams already use — from CSV and Excel exports to event histories, related tables and approved document extractions — then finds the trends, drivers, risks and opportunities that deserve management attention.
14-day free trial · No card required to start
Management intelligence
Overall performance is improving, but one part of the operation is moving the other way.
NaraOps separates the headline from the underlying populations and measures so managers can see where the change is actually coming from.
Current volume4,812
Quality measure93.2%
Emerging signal1 area
Focus the investigationOne segment contributes 31% of the deterioration while representing only 12% of activity.
Understands unfamiliar fieldsMeasures, dimensions, dates and identifiers are inferred from the data rather than a fixed industry template.
Connects related tablesRelationship confidence and coverage are checked before joined evidence is allowed to influence conclusions.
Explains changeSee what moved, which populations drove it and where different measures tell different stories.
Management-readyTurn verified analysis into plain-English briefs, questions and practical next steps.
Different businesses. One intelligence layer.
See NaraOps working with very different operational data.
Choose an example to inspect synthetic rows, metrics and the kinds of insights NaraOps can surface before you create an account.
Retail
Independent shopSales, products, promotions, stores and returns.Explore →
Beauty
Salon & spaAppointments, treatments, rebooking and capacity.Explore →
Beauty e-commerce
Online beauty brandOrders, products, campaigns, fulfilment and repeat purchase.Explore →
Professional services
Recruitment agencyVacancies, candidates, conversion and time-to-fill.Explore →
Field service
Facilities & maintenanceJobs, engineers, repeat visits and service quality.Explore →
Logistics
Delivery operationShipments, routes, depots, carriers and exceptions.Explore →
Customer support
Support teamTickets, agents, response times, repeat contact and CSAT.Explore →
Manufacturing
Production operationRuns, lines, downtime, throughput and quality.Explore →
The NARA cycle
From structured data to a management decision.
NaraOps is built around four questions that apply across operational environments.
A
Analyse
Break the change down by the measures, dimensions and relationships actually present in the data.
R
Respond
Translate the evidence into a practical management response and focused action.
A
Assess
Add the next period and see whether the targeted population or measure changed as intended.
What NaraOps can work with now
More than a recurring spreadsheet.
NaraOps supports several operational-data shapes and keeps human review at the points where interpretation matters.
Structured files & event histories
Upload one or many CSV or Excel files as current-state operational data, dated event-history records or repeated snapshots. A single current-state file can support safe measure summaries and segmentation; longitudinal trends and lifecycle conclusions are only used when the supplied history supports them.
Connected folders
In supported browsers, remember a desktop folder and check it again while NaraOps is open or regains focus, including complete-history refreshes for recurring CSV and Excel exports.
PDFs, images & documents
Explicitly extract PDFs, images, DOCX and text files into proposed records. Review the source beside the extracted fields, see confidence and evidence locations, correct anything needed and approve the values before they can affect analysis.
Mappings & relationships you control
Inspect inferred fields, exclude what should not be used, change mappings and edit table relationships. Relationship coverage and cardinality are checked before joined evidence is trusted.
Explore the evidence
Use timeframe and dimension filters, charts, diagnostics and evidence views to move from the headline to the underlying population without silently dropping useful fields.
Briefs & downloadable evidence
Generate executive, Operations Review, team, 1:1 and client / stakeholder briefs from the same evidence base, then Print / Save PDF or download evidence and scoped-worklist CSV files.
Your data does not need to match a template
NaraOps learns the operation from the fields you supply.
A retailer may have SKU, Store and NetSales. A salon may have Therapist, TreatmentFamily and Rebooked. A logistics team may have ShipmentID, Depot and AttemptCount. NaraOps keeps useful unfamiliar fields, infers their analytical role and lets you override every interpretation.
Field intelligenceIdentifiers, dates, dimensions, measures and descriptive fields are profiled with confidence and explanations.
Relationship intelligenceRelated tables can be connected using evidence from the actual values, with unsafe joins left for review.
Human controlChange mappings, exclude fields or edit relationships whenever your business knowledge is better than the inference.
Why NaraOps
An intelligence layer over the operational data you already have.
The aim is not another dashboard to interpret. It is a faster route from data to management understanding.
Schema-aware
NaraOps profiles useful fields instead of requiring one predefined industry schema.
Multi-period context
Compare the latest position with prior periods and longer history using dated snapshots or repeated event-history records. When history is not present, current-state analysis can still summarise measures and segments without inventing trend or lifecycle movement.
Cross-source intelligence
Bring together related activity, quality, outcome or other structured tables with visible relationship confidence.
Audience-specific briefs
Numbers remain traceable while leadership, Operations Review, team, 1:1 and client / stakeholder views reuse the same scoped evidence.
Ask NaraOps
Ask questions using business language and receive answers grounded in locally calculated analytical evidence.
Local-first with explicit AI boundaries
CSV and Excel rows are analysed in the browser. Documents are sent to OpenAI only when you explicitly choose Extract, and approved extracted values join local analysis. Ask NaraOps receives compact verified analytical context rather than the raw workbook rows.
Simple individual pricing
Less time assembling analysis. More time managing what matters.
Start with a 14-day free trial. No card is required until you decide to subscribe.
Monthly£14.99per month
Annual£149per year · best value
- CSV, Excel, event-history and reviewed document / image ingestion
- Connected-folder intake in supported browsers
- Automatic field understanding, exclusions and editable mappings
- Related-table intelligence with editable relationships and safeguards
- Interactive Home, Explore, Improve and Ask NaraOps
- Executive, Operations Review, team, 1:1 and client / stakeholder briefs
- Print / Save PDF plus evidence and scoped-worklist CSV exports
- Local-first spreadsheet processing with explicit document-extraction consent
Data & trust
Local-first where possible. Explicit when a file needs AI extraction.
Raw CSV and Excel rows are processed locally in the browser. A PDF, image or document is sent to OpenAI only when you choose Extract; NaraOps does not intentionally store the original document in its account database, and extracted values cannot affect analysis until you review and approve them. Ask NaraOps receives compact verified analytical context rather than the underlying operational rows.
Current beta limits: Use operational data you are authorised to use. During beta, avoid highly confidential information, special-category personal data, regulated personal data, credentials and secrets. Review the Trust Centre before using sensitive datasets.
FAQ
Before you try it.
What kinds of businesses can use NaraOps?
NaraOps is designed for structured operational data rather than one industry. The public examples include retail, beauty, recruitment, field service, logistics, customer support, manufacturing, construction, hospitality, professional services and wellness.
What data works best?
NaraOps can work with one or many CSV or Excel files: a single current-state population, dated event-history rows, repeated snapshots and related tables. A single current-state file supports safe measure summaries and segmentation; reliable dates, stable identifiers and comparable history unlock stronger longitudinal, lifecycle and cross-source conclusions.
Can I use PDFs, images or documents?
Yes. You can explicitly extract PDFs, images, DOCX and text files into proposed structured records. NaraOps shows the source beside extracted fields with confidence and evidence locations, and nothing enters analysis until you review and approve it.
Can NaraOps keep checking a folder?
In supported browsers you can remember a desktop folder. NaraOps checks connected folders while the site is open or when it regains focus and can refresh the complete history of recurring CSV and Excel files. Browser permission remains under your control.
What if NaraOps misunderstands a field?
You can change the inferred mapping, analytical role, inclusion status and table relationships. Confidence and explanations are visible so the interpretation is inspectable rather than hidden.
Does NaraOps send my raw spreadsheet rows to AI?
No. CSV and Excel rows are processed locally in the browser and are not intentionally sent to Ask NaraOps. Ask NaraOps receives compact analytical context generated from the local workspace. Document extraction is separate: a PDF, image or document is sent to OpenAI only when you explicitly choose Extract, and proposed values cannot affect analysis until you review and approve them.
Your operational data already contains a management story.
See what NaraOps can find in it.