Orion AI

Your AI boardroom. Sales, Finance, Marketing and Operations debate your business problem in real time and deliver a strategy in under 2 minutes.

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Orion AI

Inspiration

Small businesses collect a lot of data such as revenue, marketing spend, and operational costs, but many founders still make decisions based on intuition instead of analysis.

Large companies solve this by hiring consultants or analysts, but that is expensive and slow. Reports can take days or even weeks.

We asked a simple question: What if AI could simulate a small executive team that analyzes a business problem instantly?

That idea inspired Orion AI — a tool where multiple AI agents debate a business problem and generate strategy recommendations in minutes.

What it does

Orion AI is an AI-powered business strategy simulator.

Users enter basic business information such as:

  • Monthly revenue
  • Marketing budget
  • Employee count
  • Customer acquisition cost (CAC)
  • Average order value (AOV)

After receiving the data, Orion AI:

  • Analyzes the business profile
  • Generates follow-up questions
  • Runs a multi-agent AI strategy debate
  • Calculates financial projections
  • Provides strategy recommendations

The system simulates four AI agents:

  • Sales Agent – focuses on revenue growth
  • Finance Agent – analyzes profitability and ROI
  • Marketing Agent – studies customer acquisition and retention
  • Operations Agent – evaluates scalability and execution

These agents analyze the same problem and propose strategies from different perspectives.

What-If Simulation

Users can test different business decisions such as:

  • Increasing marketing budget
  • Hiring more employees
  • Launching a new product
  • Custom scenario simulator

Orion AI recalculates projections and shows the possible impact of those changes.

How we built it

Orion AI is a full-stack web application.

Frontend

  • Built using Next.js
  • Styled using Tailwind CSS
  • Displays the dashboard, charts, and AI responses

Backend

  • Built with FastAPI
  • Processes business data
  • Runs financial calculations
  • Handles API requests

AI Integration

We used Groq-powered language models with LangChain to generate intelligent insights and simulate the AI agents.

The frontend communicates with the backend through API requests to display projections and AI recommendations.

Challenges we ran into

We faced several challenges while building Orion AI:

  • Designing financial calculations that are simple but meaningful
  • Managing multiple AI agents and structuring their responses
  • Integrating AI APIs securely using environment variables
  • Handling Git merge conflicts during team collaboration

Solving these issues helped improve both the system design and development workflow.

Accomplishments that we're proud of

We successfully built a working system that converts simple business inputs into meaningful strategy insights.

Some highlights include:

  • Building a multi-agent AI debate system
  • Generating financial projections automatically
  • Implementing a what-if business simulator
  • Creating an interactive AI-powered dashboard

This project shows how AI can simplify business analysis and decision-making.

What we learned

During this project we learned:

  • Full-stack development
  • AI model integration
  • Financial metrics and business analysis
  • Team collaboration using Git

Most importantly, we learned how AI can help simulate real decision-making processes in business environments.

What's next for Orion AI

We plan to expand Orion AI with more advanced features:

  • Better financial forecasting
  • Interactive business dashboards
  • Industry benchmarking
  • More intelligent AI agents
  • Integration with real business data

Our long-term goal is to turn Orion AI into a complete AI assistant for business strategy and decision-making.

Built With

  • fastapi
  • groqapi
  • langchain
  • llama3.370b
  • next.js
  • python
  • tailwind
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