PRESS
Signals worth covering
Aionic Labs develops Time Series Language Models: AI that perceives raw multivariate signals, reasons over them in natural language, and delivers explanations, predictions, and action recommendations so domain experts can verify, not just trust. We are building the operational intelligence layer for the physical economy, from Europe.
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Press releases
New AI Technology for Complex Industrial Data: Start-up Aionic Labs Selected for Funding Initiative by Germany's Federal Agency SPRIN-D
17 July 2026
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High-resolution imagery of the Aionic Labs managing directors for editorial use. Select an image to download the full-size file.
When using a team photo, please credit the photographer as: “Felix Adler for SPRIND.”
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Highlights
Aionic Labs' founding research, OpenTSLM, introduced Time Series Language Models as a new class of multimodal AI, accepted at ICML 2026 and released fully open-source under an MIT license. The work has been recognized across the research community, with a growing body of follow-on publications and open-source adoption reflected in 1.2k GitHub stars and counting.
Frequently Asked Questions
Aionic Labs is a European Frontier AI company developing Time Series Language Models (TSLMs), a new class of AI that reasons over continuous signals, sensor data, telemetry, physiological waveforms, market data, in natural language. Founded in 2026 and based in Zurich, Switzerland.
Most of the world's important data is time series: heartbeats, machine vibrations, energy grids, financial markets. Traditional AI can forecast these signals but can't explain them, and large language models can reason in words but can't natively read raw signals. A TSLM does both: it perceives the raw signal directly and produces a natural-language explanation a human expert can check.
OpenTSLM is the family of models and methods, released openly under an MIT license, that introduced Time Series Language Models as a new class of multimodal AI. Aionic Labs is the company developing the next-generation architectures, training paradigms, and industry applications; OpenTSLM is the open research foundation it builds upon and co-develops.
Forecasting models output numbers. Aionic's models output reasoning: they describe in natural language what changed in a signal, why it matters, what to consider next, and what actions to take.
Organizations whose operations run on continuous signals. In healthcare, that means clinical teams reading vitals and waveforms to catch deterioration hours earlier. In industry, maintenance and operations teams listening to machine telemetry before a breakdown. In energy, grid operators making sense of thousands of simultaneous alarms and measurements. In finance and transportation, teams that need raw streams turned into explanations and decisions. Wherever experts spend their day interpreting signals, TSLMs are built for them.
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