About

We are a team of researchers and engineers building Multi-Modal AI that understands signals and language together.

Time-series and text data underpins all of the most essential components of modern industries. At InertialAI our focus is building powerful multi-modal AI models for text and time-series which improves existing industry workflows and unlocks capabilities that simply were not possible before. Our platform is built for real-time workloads and industry-scale Time-Series and sensor data needs. It scales from prototype to production with clear, measurable impact.

Team

Paul Quinlan

Paul Quinlan

CEO & Co-founder

Paul is pursuing his PhD in Electrical & Computer Engineering at Queen's University. His research centers on AI for time-series, sensor, and multimodal data.

Jeremy Levasseur

Jeremy Levasseur

CTO & Co-founder

Jeremy is an experienced software developer that specializes in building scalable applications that leverage AI. His experience includes working at Ericsson, Bell, and Telesat.