Blog

In conversation about AI/ML + mathematical optimization with Yash Puranik, Director of Decision Sciences at Aimpoint Digital

Explore the applications of mathematical optimization alongside the AI/ML landscape for predictive analytics, LLMs, and beyond.

What is shadow testing for optimization models and decision algorithms?

You’re pretty sure your staging model is ready for production. Pretty sure... But you want to test it under real-world conditions without real-world impact. Shadow testing gives your “understudy” algorithm the stage to prove its mettle.

A vehicle routing solution that extends from SaaS to customizable, testable model

We are excited to release the public beta of our new out-of-the-box routing engine that lets users solve VRPs with a low-code SaaS – and use the same model to customize and incorporate testing into their dev workflows.

The o10n speedrun

Decision optimization technology plays a critical role in everyday operations — food delivery, healthcare staffing, and subscription box assembly — but it can often stand in its own way. It doesn’t have to.

Introducing acceptance testing: it’s like CI/CD for your decision algorithm

We’re thrilled to announce the beta release of algorithm acceptance testing with Nextmv. We’ve streamlined making go/no-go decisions for decision model changes – paving a clear path to production.

Release roundup: batch experiments, deeper app visibility, and sample decision apps

Identify how updates to your model will impact business metrics using batch experiments. Plus, add more context to your apps by naming your runs, viewing the run input directly in the console, and more.