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Landscape Intelligence

A modular ingestion and monitoring pipeline that extracts AI funding and capital-event data from noisy sources like TechCrunch and Hacker News, then structures it for real-time landscape tracking.

Landscape Intelligence product overview with funding cards and pipeline steps
Noisy sources → schema-validated LLM processing → structured capital-event data.

Stack

Python · OpenAI API · Docker

Key Decision

An LLM processing layer with strict JSON schema validation, iterated through test-driven workflows so unstructured source text becomes reliable, machine-readable output.

Outcome

A reusable data layer for monitoring capital events, funding activity, and market trends without manual scraping or cleanup.

Proof System

Dockerized, scheduled workflows for reproducible, automated ingestion that can run without manual intervention.