For years, every claims feature at Alan meant building it twice.
A year ago, we broke that cycle. Here's what that journey looked like — from expensive first steps to compounding returns, and AI's role in it all 👇.
- Part 3 of our document processing series is out — how we scaled our pipeline from French insurance docs to new countries and multiple use cases, without rewriting everything. This wraps up the series. Thanks for following along!
- We think we built the best Python caching library in the world! RAM+Redis, atomic writes, distributed invalidation, async refresh, warmup, observability... Dive into this 5-part series, packed with diagrams, code snippets, dashboards, and numbers! buff.ly/QVH9M71
- Few-shot examples are only as good as their labels. Ours were hallucinating values from memory. The LLM learned to do the same. Part 2 of the doc processing series: curated datasets, backtesting every change and separating parsing from human knowledge
- Ever wondered how Alan reimburses health claims so fast? Spoiler: we automated 70% of document processing. We just dropped the first article of our doc processing series — stay tuned for more on how we're scaling this across other countries and use cases.
