ambitus-intelligence 🔍

Ambitus Intelligence is a TUI‑first Python package and multi‑agent market research engine that orchestrates validated data collection, analysis, and report synthesis into citation‑rich PDF reports.

Technical diagrams : Flowcharts
UML of Ambitus : Ambitus-AI

Ambitus.720P.-.GH.mp4

This repository contains AI/ML models, experiments, and tools powering ambitus Intelligence's market research automation platform.
All exploratory work, prototypes, and notebooks are organized under /notebooks.

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🚀 Overview

ambitus-ai-models is the core engine behind Ambitus Intelligence’s automated market research platform. It provides:

• Orchestrated Multi‑Agent Workflows
  A centralized Orchestrator sequences specialized AI agents, handles error‑flows, and manages user hand‑offs.

• FastMCP Tool Server
  ambitus-tools-mcp—a MCP server, backed by FastMCP—hosts all external utilities (scrapers, API clients, validators) and the CitationAgent, allowing agents to discover and invoke tools at runtime.

• Structured Agent Outputs
  Each agent emits well‑defined JSON payloads, which are persisted to a database and exposed via REST for downstream consumption.

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🔑 Key Agents

Agent Name	Responsibility
CompanyResearchAgent	Scrape and ingest public & proprietary sources (Crunchbase, Wikipedia, web) to produce a company profile.
IndustryAnalysisAgent	Analyze the company profile via LLM prompts to rank and rationalize potential expansion domains.
MarketDataAgent	Retrieve quantitative metrics (market size, CAGR, trends) from external APIs (Google Trends, Statista).
CompetitiveLandscapeAgent	Compile and summarize key competitors, their products, market share, and strategic positioning.
GapAnalysisAgent	Use LLM reasoning to detect unmet needs and strategic gaps by comparing capabilities vs. competitors.
OpportunityAgent	Brainstorm, validate, and rank growth opportunities grounded in data from upstream agents.
ReportSynthesisAgent	Aggregate all agent outputs into a citation‑rich final report (Markdown, HTML, PDF).
CitationAgent (Tool)	On‑demand retrieval of citations or data snippets, serving all agents via the MCP tool server.

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📖 Documentation

• Docs Index: docs/README.md
• System Overview: docs/system_overview.md
• Agent Specifications: docs/agent_specs.md

Legacy Notion (for archival reference only):

• General Overview
• Agent Details

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📁 Repository Structure

ambitus-ai-models/
├── docs/                                       # Architecture & agent specs (Markdown)
│   ├── README.md                               # Index of spec docs
│   ├── system_overview.md
│   ├── agent_specs.md
│   ├── workflow_examples.md                    # TODO
│   └── mcp_server.md                           # TODO
├── notebooks/                                  # Experimental Jupyter/Colab prototypes
│   ├── Experiment ##- <experiment_name>.ipynb   
│   └── ...                                     # Additional experiments in ##-*.ipynb format
├── src/                          # Source code
│   ├── agents/                   # Individual agent implementations
│   │   ├── __init__.py
│   │   ├── company_research_agent.py
│   │   ├── industry_analysis_agent.py
│   │   ├── market_data_agent.py
│   │   ├── competitive_landscape_agent.py
│   │   ├── gap_analysis_agent.py
│   │   ├── opportunity_agent.py
│   │   ├── report_synthesis_agent.py
│   │   └── citation_agent.py
│   │
│   ├── mcp/                      # MCP server configuration and tools
│   │   ├── __init__.py
│   │   ├── server.py             # FastMCP server implementation
│   │   ├── tools/                # Tool implementations
│   │   │   ├── __init__.py
│   │   │   └── ...               # Individual tool modules
│   │   └── data_sources/         # Data source connectors
│   │       ├── __init__.py
│   │       └── ...               # Individual data source modules
│   │
│   ├── api/                      # Backend API for web application
│   │   ├── __init__.py
│   │   └── routes.py             # API endpoints
│   │
│   └── utils/                    # Shared utilities
│       ├── __init__.py
│       └── ...
│
├── .env.example                  # Example environment variables
├── pyproject.toml                # Project configuration and dependencies
├── README.md                     # Project overview
└── .gitignore                    # Git ignore file

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📧 Contacts

For questions or collaborations, contact:

Lead Developers:

• Vedant Yadav

• Nidhi Satyapriya

• Priyanshu Paritosh

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Part of the Next-Gen Market Intelligence Suite

ambitus Intelligence | Documentation | Main Repository