@alexandra696

Quantivo AI, also known as BOA (Business Opportunity Analysis), is an AI-powered SaaS platform that helps small business owners and entrepreneurs make data-driven decisions about their business opportunities. Given a business's context — category, location, growth stage, and goals — the system automatically scrapes real local market data, routes and filters it through a deterministic classification pipeline, and runs parallel sentiment and SWOT analysis using LLM agents orchestrated via LangGraph. The result is a comprehensive report featuring an executive summary, market insights, actionable recommendations, and a visual heatmap of the local competitive landscape. The platform is built around a contract-first architecture: a shared Pydantic schema and Protocol-based interface layer let independent workstreams — scraping, routing, retrieval, agent reasoning, and orchestration — develop and test against mocks in parallel before wiring in production components. Under the hood, Quantivo AI uses a hybrid dense-and-sparse retrieval system (Qdrant with BGE-M3 embeddings) fused via reciprocal rank fusion, and every confidence score is computed quantitatively from source count, agreement, and recency rather than left to subjective LLM judgment. The system is designed for graceful degradation: if any single data source or agent fails, the pipeline still produces a partial, clearly-labeled report instead of failing outright. Quantivo AI was built for the AMD Developer Hackathon (ACT II, Track Unicorn), with LLM inference and embedding generation running on AMD MI300X/MI350 GPU hardware via Fireworks AI and a self-hosted BGE-M3 embedding server, demonstrating a production-realistic AI pipeline built entirely on AMD's AI stack.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.