Our very own Isabelle Lorge shares her journey to becoming a Machine Learning engineer and the path that ultimately led her to join Cleo.
When extending Cleo’s chat engine to real-time voice, we needed to keep Cleo’s personality and tone while maintaining high accuracy and low latency.
Charly outlines what Frontend Chapter Days look like here at Cleo.
Sam outlines Backend Chapter Day at Cleo.
Agentic reasoning, personalized memory, and real-time voice. Cleo's smartest upgrade yet.
Inside the architecture that helps Cleo remember what matters
Cleo 3.0 extends the capabilities of off-the-shelf LLMs by adding memory, tools, and real-time agentic reasoning.
Language models are great with words, but budgets need numbers. Our benchmark revealed a gap that general-purpose AI still can't close.
Fabio, a Data Engineer, talks about why we introduced Espresso, our MLOps framework.
Part four of Murad's Computer Science 101 series
We ran a survey to examine the intersection of AI adoption and financial behavior.
Cleo is building a world that’s brighter, warmer, and full of more financial possibilities. That starts with our rebrand.