OpenTSLM
The Future of AI Delivered on Time
AI understands text, images, audio, and video.
But the real world runs on time.
Every heartbeat, price tick, sensor pulse, machine log, and user click is a temporal signal.
Current models can't reason about them.
We're changing that.
A New Class of Foundation Models
Time-Series Language Models (TSLMs) are multimodal foundation models with time series as a native modality, next to text, enabling direct reasoning, explanation, and forecasting over temporal data in natural language.
Our research shows order-of-magnitude gains in temporal reasoning while running on smaller, faster backbones. TSLMs are not an add-on. They're a new modality for AI.
Open Core, Frontier Edge
OpenTSLM: Lightweight base models trained on public data, released openly. They set the standard for temporal reasoning and power a global developer and research ecosystem.
Frontier TSLMs: Advanced proprietary models trained on specialized data, delivering enterprise-grade performance and powering APIs, fine-tuning, and vertical solutions.
Our Vision
We're building the temporal interface for AI - the layer that connects continuous real-world signals to intelligent decisions and autonomous agents.
A universal TSLM will power proactive healthcare, adaptive robotics, resilient infrastructure, and new forms of human-AI collaboration.
About Us
OpenTSLM is a team of scientists, engineers, and builders from ETH, Stanford, Harvard, Cambridge, TUM, CDTM, Google, Meta, AWS, and beyond. We are the original authors of the OpenTSLM paper.