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Remix Labs

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Remix Labs is a time-series data synthesis platform that generates new datasets from historical data, enabling modeling of rare events, stress-testing assumptions, and exploring hypothetical scenarios without manual data collection or coding expertise. Its no-code visual pipeline editor lets users create synthetic scenarios in minutes, leveraging built-in machine learning models like N-BEATS, NHITS, LSTM, and GRU to synthesize rare events, extreme conditions, and future trajectories. Users can upload data, isolate events, and create snippets as building blocks for scenario generation. The platform supports chaining pipelines for multi-stage transformations, enabling complex workflows without glue code. Applications include integration testing, model validation, and training machine learning models with augmented datasets. Managed infrastructure handles execution, while re-run capabilities ensure consistent datasets across experiments.

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