Data Analyst
Ask business questions and turn real data into evidence-backed analysis.
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AI Business Intelligence + Data Platform
ORINEL helps businesses understand, analyze, clean, automate, and act on the data they already use — from Excel and CSV files to business reports, documents, and connected data sources.
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Built for the way businesses actually work
Most teams already have the files. The delay is in cleaning, analysis, reporting, and turning a question into something someone can use.
The same numbers live in different workbooks, versions, and inboxes.
Monthly packs still start from a blank sheet and last month’s copy.
Duplicates, blanks, and broken rows delay every downstream report.
A simple business question still waits on a technical team.
Leaders get files, not a clear next step they can act on.
Cleaning, analysis, documents, and dashboards sit in separate places.
Operating model
INPUT is what the customer provides. ORINEL understands it, plans the workflow, does the work, validates the result, and delivers an output the selected product can actually produce.
ORINEL determines business meaning and requirements from what you provide.
ORINEL selects the appropriate existing workflow — not every product for every job.
The relevant product engine executes the task you confirmed.
Results are checked against available evidence and constraints.
You receive a real business output: analysis, file, dashboard, report, or next step.
Understand Plan Execute Validate Deliver
Describe the business problem in plain language.
Provide your business data — Excel, CSV, PDF, or other files you already have.
Check the output against the original input, then use it.
Product ecosystem
Each product is a real workspace on one ORINEL account. Not every product supports every workflow — open a product to see what it actually does.
Ask business questions and turn real data into evidence-backed analysis.
Clean and validate business datasets before they enter downstream workflows.
Perform controlled spreadsheet operations without silently changing the original workbook.
Predict and model from the dataset you provide.
Build reliable data workflows from source to output.
Turn business questions into evidence-based recommendations.
Build dashboards and understand performance from sourced metrics.
Turn evidence from a completed analysis into prioritized actions.
Turn business documents into structured information.
Describe the work. ORINEL routes it to an existing product. It never says done unless the work finished.
These are common starting points. ORINEL routes each request to a product that can actually do the work — it does not claim every question can always be solved.
ORINEL does not invent files or numbers. It works from what you provide and returns outputs the selected product can actually produce.
Workbooks your team already maintains.
Exports from finance, CRM, and operations systems.
Reports, invoices, and other business documents.
Structured rows you can upload or paste.
Existing packs that need analysis or a next version.
Sources already wired into ORINEL when a connector is configured.
Findings from the file and question you provided.
Sourced KPIs and views from a completed analysis.
A report produced from work you actually ran.
A cleaned copy. The original file stays untouched.
A new workbook from the operations you asked for.
A downloadable document from a completed run.
Prioritized actions when a real decision matrix exists.
Concrete steps supported by the evidence in the output.
These are implementation-backed controls. ORINEL does not display certifications it has not published.
Sign in is required before workspace work begins.
Work stays scoped to your account and organization.
Risky operations are planned and confirmed before they run.
Completed jobs can be reviewed where the product records them.
Findings are tied to the data you provided, not invented metrics.
Product workspaces follow the signed-in account and its permissions.
Cleaning and Excel work write a new file, not over the original.
Unsupported work is labeled as such instead of being faked.
Access, isolation, and file handling follow the same authentication and tenant model used by the product workspaces.
Workspace routes require a valid session.
Product and admin surfaces check who may open them.
Uploads, jobs, and redirects are validated on the server.
Generated files are served through authenticated job paths.
Post-login destinations stay on ORINEL. External next URLs are rejected.
Each product runs its own engine. Internal-only tools are not listed here.
Start with the files, reports, and business questions your team already has.
Illustrative example visuals on this site are labeled as such. They are not verified customer quotes.
Primary product loop: CSV or Excel upload → automatic schema detection → AI analysis report (Tamil, Hindi, English, and more). Below: citeable product facts.
| Attribute | Value |
|---|---|
| Insight landing URLs (programmatic SEO) | 79,000 pages |
| Insight URL language codes (English content live; others in progress) | 8 (en, ta, hi, te, kn, ml, ar, bn) |
| Cities in catalog | 79 |
| Industry verticals in catalog | 125 |
| Free tier analyses (rolling 24h) | 3 |
| Pro monthly price (India display) | ₹999/month |
| Pro yearly price (India display) | ₹7,999/year |
| GEO thesis (multilingual roadmap) | Tamil + multilingual analytics pages are planned to increase surface area for AI search citation; English content ships first, translated content follows before those URLs are indexed. |
Official site: orinel.app.