Synthefy's Migas 1.0 Mixture-of-Experts time series forecasting model achieves top rankings on GIFT-Eval benchmark and delivers state-of-the-art results on unseen datasets.
MUSEval is the first large-scale benchmark (45 datasets, 19B points, 16 domains) built to measure multivariate gain — how much better models get when given related signals.
Learn how Synthefy partnered with Samsung Semiconductor to develop microcontroller-scale heart rate detection algorithms using synthetic physiological signals, achieving real-time inference on ultra-low-power devices.
Discover why Large Language Models struggle with time series forecasting and what the industry needs instead.
Learn how synthetic data generation is revolutionizing time series machine learning, just like "DALL-E" transformed image generation.
Discover how Synthefy's diffusion models are revolutionizing healthcare analytics through synthetic ECG and PPG data generation for privacy, stress-testing, and data augmentation.
Discover how Synthefy API brings cutting-edge time series forecasting capabilities to developers and businesses of all sizes.
Explore why data enrichment is crucial for improving time series model accuracy and how to implement it effectively.
Celebrating breakthrough achievements, industry collaborations, and innovation in time series AI
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