InertialAI

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.

The World Runs on Data

Any measurement recorded over time is time-series data — heartbeats from a medical device, vibrations from industrial machinery, price ticks from financial markets, readings from IoT sensors. This data is everywhere, and it carries patterns that reveal what’s happening and what’s coming next.

InertialAI builds AI models that natively understand this real-world data. We combine the reasoning power of language models with time-series processing capabilities.

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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.

Get in Touch

For API access, enterprise inquiries, or research partnerships.