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 👇.
https://t.co/N99LBlrBSp
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! https://t.co/nbbXSYcjA1
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!
https://t.co/QZIguCdgTd
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
https://t.co/H1V5gmf73r
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. https://t.co/DaEsUjQu4j
📣 We’re doing something a bit different at @alan: an on-site Engineering Recruitment Day
📍 Paris (Alan HQ)
🗓️ Tue, March 17
⏳ Apply by Wed, March 11
👉 https://t.co/JlolivcJH4
A button color took weeks to ship. Not because it was hard—but because the designer who spotted it couldn't fix it themselves.
So we asked: what if everyone could build?
#everyonecanbuild
"Claude did it almost on its own while I was boiling water for my tea"
That's how our engineers now fix flaky tests at Alan.
Read more about our journey from manual debugging to AI-powered investigation in our latest article 👇
https://t.co/EFaQITfFKp
Don't chase leaderboards. There's always a score-latency tradeoff, and LLM providers often hide it.
We reproduced Tau-bench to see for ourselves. Here's what we learned:
https://t.co/aiVoHl0yBd
There are many LLM benchmarks such as MMLU and GSM8k, but they're useless for AI agents.
Real agents need to handle database state, tool calling, and multi-turn conversations. Stateful benchmarks show the path forward.
New post on agent evaluation 👇
https://t.co/71Dv68HdHc
You've heard of the recent ISO27001:2022 certification of Alan by SGS, but want to know more about our journey towards certification? Head up to Maxime's post and enjoy the read!
https://t.co/piclmf4By9
Static chatbots couldn't handle complex support tickets about insurance claims. So we built something different with tool calls and the ReAct framework.
Our Claim Agent investigates dynamically - just like human agents, but faster. Now automating 30% of tickets it receives.
🕵️ After four years at Alan from Engineering to Security, I’ve seen what makes security succeed and today I'm sharing what I learned! https://t.co/mm2xY0oOhY
🛠️ How we tamed the "works on my machine" chaos at Alan Engineering!
Our new blog post reveals how Devbox transformed our dev experience, slashed onboarding time, and created consistent environments across our entire team.
Check it out: https://t.co/ru4GJrrwq3
🚀 If you had the chance to improve the way millions of people access healthcare, would you take it?
😍 We're expanding our engineering team across France, Spain, Belgium, and Canada for both individual contributors and leadership positions
https://t.co/sR4hmM7iaO
In late January, DeepSeek shocked the world by dropping an open-weight successor to OpenAI's o1: R1. Their tech report discusses how to incentivize reasoning capability in LLMs. We share our learnings at:
https://t.co/IYQ22GkfIa
✨ Excited to share that members of our tech team will be at Paris TS la Conf' this Friday! If you're attending and want to connect, don’t hesitate to reach out—we’ll be easy to spot in our Marmot hoodies!
🇬🇧
Hello TypeScripters 👋
Missed the Paris TS la Conf' program? No worries, here’s a quick recap of the day 😉
📅 Don’t miss this unique opportunity on February 28th!
🎟️ Tickets still available here: https://t.co/LfoOIyIoOj
#TypeScript
In 2024, we automated 20% of customer contacts with AI while maintaining the same customer satisfaction (the number is still growing!) 🚀
Learn about our journey:
https://t.co/tCYmiNqQ0d
A few months back, we migrated our CI/CD from CircleCI to GitHub Actions. Read more about the reasons, the process and how it went! https://t.co/FrzAkbM8za