Chemin AI

Launch day is calmer when the data is already validated. Get a Chemin sample dataset, on us, and see how our experts check it.

Training autonomous vehicles takes data you can trust. See how Chemin's domain experts validate it, with a sample dataset, on us.

Great robots start with well-labelled data. Let our domain experts handle the prep. Get a Chemin sample dataset, on us.

AI loops are what everyone's talking about right now, as teams want to know the best way to build a better AI system. But more data isn't always the answer. Sometimes, less is more. We break down how an AI feedback loop turns production failures into targeted data refinement and sharper evaluation. Read the full article: https://lnkd.in/d_iAm87s/?utm_campaign=Chemin&utm_source=linkedin&utm_medium=paid&utm_id=758889616&hsa_acc=514677172&hsa_cam=758889616&hsa_grp=910387096&hsa_ad=1635871396&hsa_net=linkedin&hsa_ver=3 Building a data workflow that keeps your AI improving? Let's talk: chemin.com/contact

Our client needed native fluency in English, Malay, Mandarin, and Cantonese, not just translation. We engaged 92 language experts in an average of 14 days and hit 96.39% accuracy.

There are rare driving scenarios that happen once every few million miles that more data won’t necessarily help. What would help would be to find rare scenarios, prioritize them by risk, and capture enough context to learn from them. We break down how it works in our latest article: https://lnkd.in/dukrywGK Want a second set of eyes on your AV data pipeline? Let’s chat: chemin.com/contact