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From technical deep-dives to real-world case studies, discover how Synthefy is transforming time series forecasting and analytics.
Introducing Synthefy Migas 1.0: State-of-the-Art Forecasting on Your Unique Data, in Minutes
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.
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Synthefy MUSEval: The Largest Multivariate Evaluation Benchmark for Time Series Foundation Models
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.
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Samsung × Synthefy: Deploying Real-Time Heart Rate AI on Microcontrollers with Synthetic Data
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.
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Why LLMs Can't Solve Time Series
Discover why Large Language Models struggle with time series forecasting and what the industry needs instead.
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"DALL-E" for Timeseries: Scaling Time Series ML with Synthetic Data Generation
Learn how synthetic data generation is revolutionizing time series machine learning, just like "DALL-E" transformed image generation.
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Diffusion Models for Healthcare: Transforming Medical Time Series Data
Discover how Synthefy's diffusion models are revolutionizing healthcare analytics through synthetic ECG and PPG data generation for privacy, stress-testing, and data augmentation.
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Introducing Synthefy API: State-of-the-Art Time Series Forecasting for Everyone
Discover how Synthefy API brings cutting-edge time series forecasting capabilities to developers and businesses of all sizes.
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Data Enrichment: The Missing Ingredient in Time Series Modeling
Explore why data enrichment is crucial for improving time series model accuracy and how to implement it effectively.
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Recognition & milestones
One of the best on leading time series benchmarks for univariate forecasting
Best performer on multivariate and multimodal time series benchmarks (Coming Soon)
US Army Phase 2 SBIR award recipient
Advancing time series AI for defense and national security applications
Paper accepted to NeurIPS 2025 conference
Breakthrough research in multivariate time series synthesis and forecasting
Powering real-time health AI on Samsung devices
Breakthrough PPG heart rate monitoring running on edge microcontrollers