Remix
Labs
Remix
Labs
Unlock more from your data. Model more scenarios. Make better decisions.
Remix Labs synthesizes new time-series datasets from your existing data, so you can model rare events, stress-test assumptions, train sharper models, and explore scenarios that have never appeared in your historical records. No-code. No new data collection. Free to use.
Edit, combine and expand your time-series data with our data remixing platform.
Unlock more from your data. Model more scenarios. Make better decisions.
Remix Labs synthesizes new time-series datasets from your existing data, so you can model rare events, stress-test assumptions, train sharper models, and explore scenarios that have never appeared in your historical records. No-code. No new data collection. Free to use.
Stop stress-testing your strategies against scenarios that have already happened. Remix Labs lets you model the ones that have not, using your own historical data as the foundation. Rare regimes. Extreme events. Alternative trajectories. All synthesized in under five minutes.
Give your models more to learn from without the time or cost of collecting new raw data. Extend your time-series datasets with synthetic scenarios built on real patterns. Isolate regimes, forward extrapolations, and augmented variations. Better models start here.
Synthetic time-series data whenever you want. Build and test against data you have always needed but never had. No manual wrangling. No data team dependency. Integration tests, load tests, and model validation, ready when you are.
Stop stress-testing your strategies against scenarios that have already happened. Remix Labs lets you model the ones that have not, using your own historical data as the foundation. Rare regimes. Extreme events. Alternative trajectories. All synthesized in under five minutes.
Analyst
Give your models more to learn from without the time or cost of collecting new raw data. Extend your time-series datasets with synthetic scenarios built on real patterns. Isolate regimes, forward extrapolations, and augmented variations. Better models start here.
Developer
Synthetic time-series data whenever you want. Build and test against data you have always needed but never had. No manual wrangling. No data team dependency. Integration tests, load tests, and model validation, ready when you are.
Stop stress-testing your strategies against scenarios that have already happened. Remix Labs lets you model the ones that have not, using your own historical data as the foundation. Rare regimes. Extreme events. Alternative trajectories. All synthesized in under five minutes.
Analyst
Give your models more to learn from without the time or cost of collecting new raw data. Extend your time-series datasets with synthetic scenarios built on real patterns. Isolate regimes, forward extrapolations, and augmented variations. Better models start here.
Developer
Synthetic time-series data whenever you want. Build and test against data you have always needed but never had. No manual wrangling. No data team dependency. Integration tests, load tests, and model validation, ready when you are.
A time-series data remixing platform for synthesizing new data from existing data.
Build in minutes, not weeks
The no-code visual pipeline editor lets any analyst or developer build to turn old data into new scenarios without SQL, Python, or an engineering backlog.
Build in minutes, not weeks
The no-code visual pipeline editor lets any analyst or developer build to turn old data into new scenarios without SQL, Python, or an engineering backlog.
Every scenario, not just the ones you have lived through
Synthesize rare events, extreme conditions, and future trajectories directly from patterns in your existing data, not just the scenarios you’ve experienced. Built in ML models like N-BEATS, NHITS, LSTM, and GRU.
Every scenario, not just the ones you have lived through
Synthesize rare events, extreme conditions, and future trajectories directly from patterns in your existing data, not just the scenarios you’ve experienced. Built in ML models like N-BEATS, NHITS, LSTM, and GRU.
Chain pipelines to build complex scenarios
Use the output of one remix as the input to the next. Build sophisticated multi-stage transformations without a single line of glue code.
Chain pipelines to build complex scenarios
Use the output of one remix as the input to the next. Build sophisticated multi-stage transformations without a single line of glue code.
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How It Works
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1
Upload
Upload your existing data as the source.
2
Extract
Visualize your data, isolate events of interest, and create data snippets from them.
3
Remix
Remix uploaded files and data snippets. Shift, transform, and combine them to create new data scenarios.
01
02
03
03
Upload
Configure
Upload
text
Upload your files to be used as sources for creating new data
Choose what new data to synthesize, and the models to do so
Create a remix project from uploaded data files and extracted event data snippets, configuring any time-shifting, transformations and recombinations as desired, with quick data previews along the way.
Create a remix project from uploaded data files and extracted event data snippets, configuring any time-shifting, transformations and recombinations as desired, with quick data previews along the way.
01
02
03
03
Upload
Extract events
Remix
Synthesize
Upload your time-series data files to be used as remix sources.
Analyze your data to identify events and create corresponding data snippets.
Create a remix project from uploaded data files and extracted event data snippets, configuring any time-shifting, transformations and recombinations as desired, with quick data previews along the way.nthesis on our scalable infrastructure, and when it’s done you can download it or use it for further data synthesis
Create a remix project from uploaded data files and extracted event data snippets, configuring any time-shifting, transformations and recombinations as desired, with quick data previews along the way.nthesis on our scalable infrastructure, and when it’s done you can download it or use it for further data synthesis
01
02
03
03
Upload
Extract events
Remix
Synthesize
Upload your time-series data files to be used as remix sources.
Analyze your data to identify events and create corresponding data snippets.
Create a remix project from uploaded data files and extracted event data snippets, configuring any time-shifting, transformations and recombinations as desired, with quick data previews along the way.
Create a remix project from uploaded data files and extracted event data snippets, configuring any time-shifting, transformations and recombinations as desired, with quick data previews along the way.
Why Remix Labs?
Effortless
From file upload to synthetic dataset in under five minutes.
Reliable
Re-run any remix to regenerate your dataset with the same settings.
Empowering
Stop waiting on data engineering teams for every new experiment. Remix Labs puts synthetic data creation in the hands of analysts, researchers, and developers.
Fast
Pipelines execute on managed infrastructure. Your team spends its time iterating on hypotheses, not on cluster provisioning.
Expand your data now.
Synthesize your first dataset in a couple of minutes. Free, no credit card required.
Remix labs is in beta phase. Not all features and functions described here will be available or fully operational during the beta phase.
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