Remix
Labs
Remix
Labs
Unlock more
from your data.
Edit, combine and expand your time-series data with our data remixing platform.
Edit, combine and expand your time-series data with our data remixing platform.
Unlock more
from your data.
Edit, combine and expand your time-series data with our data remixing platform.
Struggling to gather the data needed to decide, test, or scale with confidence?
Our platform helps you remix existing time-series data into new scenarios, allowing you to explore a wider variety of scenarios than what’s at hand, even extreme ones that occur rarely but that can have significant consequences, so you can stay one step ahead and make better decisions.
Limited datasets make it difficult to run robust analyses, train models, and validate insights.
Use our remixing platform to quickly isolate interesting events in your data for analysis, and expand your datasets using these events to synthesize new data to fill in gaps so you can model scenarios beyond what’s available in the data and train data-hungry models.
Don’t have enough data to develop and test our applications effectively
Generate synthetic data for various development and testing needs, by remixing old data into variations of known scenarios as well as new or rare scenarios.
Struggling to gather the data needed to decide, test, or scale with confidence?
Our platform helps you remix existing time-series data into new scenarios, allowing you to explore a wider variety of scenarios than what’s at hand, even extreme ones that occur rarely but that can have significant consequences, so you can stay one step ahead and make better decisions.
Analyst
Limited datasets make it difficult to run robust analyses, train models, and validate insights.
Use our remixing platform to quickly isolate interesting events in your data for analysis, and expand your datasets using these events to synthesize new data to fill in gaps so you can model scenarios beyond what’s available in the data and train data-hungry models.
Developer
Don’t have enough data to develop and test our applications effectively
Generate synthetic data for various development and testing needs, by remixing old data into variations of known scenarios as well as new or rare scenarios.
Struggling to gather the data needed to decide, test, or scale with confidence?
Our platform helps you remix existing time-series data into new scenarios, allowing you to explore a wider variety of scenarios than what’s at hand, even extreme ones that occur rarely but that can have significant consequences, so you can stay one step ahead and make better decisions.
Analyst
Limited datasets make it difficult to run robust analyses, train models, and validate insights.
Use our remixing platform to quickly isolate interesting events in your data for analysis, and expand your datasets using these events to synthesize new data to fill in gaps so you can model scenarios beyond what’s available in the data and train data-hungry models.
Developer
Don’t have enough data to develop and test our applications effectively
Generate synthetic data for various development and testing needs, by remixing old data into variations of known scenarios as well as new or rare scenarios.
A time-series data remixing platform for synthesizing new data from existing data.
Intuitive
An easy workflow for a process of cutting up, transforming and recombining time-series data. Visualize complex data scenarios at a glance.
Intuitive
An easy workflow for a process of cutting up, transforming and recombining time-series data. Visualize complex data scenarios at a glance.
Intuitive
An easy workflow for a process of cutting up, transforming and recombining time-series data. Visualize complex data scenarios at a glance.
Scalable
Our platform supports working with time-series data at scale.
Scalable
Our platform supports working with time-series data at scale.
Scalable
Our platform supports working with time-series data at scale.
Cutting-edge
We provide a broad spectrum of AI and ML models for working with time-series data, enabling anomaly and pattern detection, data imputation, forecasting and transforming.
Cutting-edge
We provide a broad spectrum of AI and ML models for working with time-series data, enabling anomaly and pattern detection, data imputation, forecasting and transforming.
Cutting-edge
We provide a broad spectrum of AI and ML models for working with time-series data, enabling anomaly and pattern detection, data imputation, forecasting and transforming.
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How It Works
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01
Upload
Upload your time-series data files to be used as remix sources.
02
Extract events
Analyze your data to identify events and create corresponding data snippets.
03
Remix
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.
04
Synthesize
Run the full remix on our scalable infrastructure to synthesize the new data, and when it’s done you can download it, or even use it for further data remixes.
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.
Effortless
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Reliable
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Empowering
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Fast
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Founder quote