A focused team building AI-driven public-records databases — MSHA mining incidents (~500,000 records, 1983 to present), OSHA severe-injury reports (every record since the 2015 reporting rule), and daily COMEX + LME precious-metals intelligence. We set the strategy; the agents do the digging; the dataset compounds while you sleep.
Shovel is a small team building AI-enabled data products. The mission: take US public records that the source agencies publish but don't make easy to search, and put them behind a working search box. MSHA mining incidents back to 1983. Every OSHA severe-injury report since 2015. COMEX and LME precious-metals ticks every second. Domain-focused humans set the playbooks; autonomous scrapers and LLM-assisted pipelines do the work.
The aesthetic is Pieter Levels meets Bloomberg Terminal — small, sharp, opinionated. Every product in the portfolio started as a question someone should have been able to answer with public data but couldn't, because nobody had organized it.
The pipeline is the product. Autonomous CI, self-healing scrapers, LLM-assisted triage, and a meta-brain that watches the whole stack and files its own bug reports. The team designs and reviews; the fleet executes 24/7 — and the data compounds.