Request a free account.
The Problem
Data science workflows often struggle with efficiency and scale.
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
OOTB APIs lack flexibility and can't be tailored to address the unique challenges of diverse organizational data.
The Solution
Workflow
Boost AI adoption with intelligent self-managing agents to do the hard work.
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
Train & Deploy
Seamlessly train machine learning models on your data and deploy them to your preferred infrastructure, streamlining the ML lifecycle.
Deployment
Getting started is simple.
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
Models trained with TensorStax use only your data, are optimized for your users' behavior, and remain completely private in your cloud.
Time To Production
TensorStax autonomous agents speed up data cleaning by 30x and deploying AI features 12x faster, enabling swift iteration.
