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The Problem
Data Quality Issues
Data is often unclean, inconsistent, and unstructured, making it time-consuming to utilize effectively.
Limited Bandwidth
There’s a shortage of SMEs, and resources are tied up in long-term tasks like data pre-processing, model tuning, and evaluation.
Generic Solutions
Existing date tools struggle with complex workflows, require manual setups, and create inefficiencies when scaling across environments.
The Solution
Workflow
01
Connect
Connect to various sources for data integration, structured or unstructured, eliminating the need for complex data engineering.
02
Data Jobs
Execute large-scale data processing tasks, from preprocessing and cleaning to advanced transformations, all managed autonomously.
03
Scale
Easily scale data pipelines from preprocessing to complex transformations, fully automated within your infrastructure.
Deployment
Getting started with TensorStax is designed to be simple and intuitive. Our platform seamlessly integrates with your existing data infrastructure, allowing you to quickly connect your data sources.
Establish a secure connection to our API to start sending and receiving data.
Start training with a single command, and let our platform handle the rest.
No Pre-Processing
TensorStax can autonomously pre-process, clean and restructure large datasets, eliminating the need for dedicated data teams.
Own Your Models
Data pipelines built with TensorStax use only your data, are tailored to your specific workflows, and remain fully private within your cloud.
Time To Production
TensorStax autonomous agents speed up data cleaning by 30x and making ETL jobs 12x faster, enabling swift iteration.
