Plain-English questions
Orion accepts business questions in plain language, so users can ask for the metric or analysis they need without building a query first.
Orion
Orion is an AI business analyst for plain-English questions about your data, delivering reports with findings and next steps.
Overview
Orion is an AI business analyst that turns questions about business data into reports and next steps. The site presents it as a tool for business owners, operators, and analysts who want answers from spreadsheets and other scattered data sources without manually joining everything themselves.
Its workflow starts with a short setup interview to capture goals, data sources, and existing context. After that, users ask a business question in plain English, and Orion assembles the relevant information into a single report that can be explored and shared.
Features
Context gathering
The setup flow asks for context about goals, sources, and existing workflow before analysis starts, which helps Orion frame the request around the business task.
Multi-source analysis
The homepage shows Orion bringing together scattered sources such as spreadsheets, CRMs, ERPs, databases, and external systems to form a single answer.
Report generation
An example report shows Orion joining multiple sources, checking the analysis, and presenting the result as a clean report that can be explored and shared.
Interactive findings
The sample analysis includes a structured view with category-level results and an “Orion’s finding” summary, indicating that outputs combine data tables with written takeaways.
Desktop installation options
The install page shows a desktop app install flow with downloads for Windows, macOS, and Linux, plus a CLI mention for technical teams.
Use cases
Business performance analysis
Ask a question about revenue, cost, or margin performance and have Orion assemble the relevant business data into a readable report instead of leaving you to reconcile exports by hand.
Marketing and sales analysis
Combine sales data with campaign or channel data to evaluate return on ad spend and identify which product categories or segments are performing best.
Inventory planning
Use Orion to review inventory-related data and surface where stock or product performance may need attention across different sources.
Cash flow and runway analysis
Analyze cash flow or runway questions by pulling together the relevant financial inputs into one report for decision-making.
Operational analysis workflows
Use the setup interview and plain-English questioning flow when you want a repeatable way to investigate customer segments, pricing opportunities, or invoice-related workflows.
Pros and Cons
Pros
- Lets users ask business questions in plain English instead of writing queries.
- Includes a setup interview to capture goals and data context before analysis.
- Brings together scattered sources into one report rather than leaving analysis fragmented.
- Produces a presentable output with both analysis and written findings.
- Provides desktop installation options, including Windows, macOS, and Linux, with a CLI mention for technical teams.
Cons
- The provided pricing page is a 404, so the site materials do not clarify current pricing or plan structure.
- The source pages give only partial detail on integrations and supported connectors, so the full data-source list is not documented here.
- The available pages show product behavior at a high level, but not a full feature reference or limits documentation.
FAQ
How does Orion get set up before it can analyze data?
Orion’s homepage says it asks a few questions about your goals, data sources, and workflow before analysis begins. The install page also shows a desktop app installation flow, including a downloadable installer for Windows and other desktop options.
Who is Orion for?
The site positions Orion for business owners, operators, and analysts. It is designed for people who want to ask plain-English questions of spreadsheets and other business data and get a report back.
What kind of output does Orion produce?
The homepage shows Orion turning a question into a clean, interactive, presentable report that can be explored and shared. It also shows an example analysis with joined sources and category-level results.
What data sources does Orion support?
The source pages show Orion working with spreadsheets, CSV exports, JSON APIs, ERPs, operational systems, SQL databases, and CRM data at a high level. The site does not publish a full connector list or integration documentation on the pages provided.
Quick Facts
- Category
- AI business analyst
- Primary users
- Business owners, operators, and analysts
- Core workflow
- Setup interview, plain-English question, joined-data report
- Platform
- Desktop app
- Desktop support
- Windows, macOS, Linux
- Source domain
- orion-agent.ai
Orion Alternatives
PromptScout
PromptScout tracks how ChatGPT, Gemini, Google AI Overviews, and Perplexity mention your brand or competitors, with source analysis and website audits.
SaveMRR
SaveMRR is a Stripe retention tool for SaaS teams to scan churn and MRR leaks, then automate recovery with dunning, cancel-save offers, win-back emails, and onboarding nudges.
Hype
Hype is a web tool for finding trending YouTube topics by category, time range, and scoring mode. Spot emerging ideas and review source videos.
Sleek Analytics
Sleek Analytics is a privacy-friendly web analytics tool with real-time visitor tracking, Core Web Vitals, and revenue attribution.
Struere
Struere turns spreadsheet data into structured operational software with dashboards, alerts, and automations for teams replacing manual spreadsheet workflows.
ClayHog
ClayHog is an AI search visibility platform for tracking brand presence in ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews from one dashboard.